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C2090-549 IBM Certified System Programmer - IBM IMS

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C2090-549 exam Dumps Source : IBM Certified System Programmer - IBM IMS

Test Code : C2090-549
Test denomination : IBM Certified System Programmer - IBM IMS
Vendor denomination : IBM
real questions : 103 true Questions

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IBM IBM Certified System Programmer

Will AI achieve cognizance? incorrect question | killexams.com true Questions and Pass4sure dumps

When Norbert Wiener, the daddy of cybernetics, wrote his e-book The Human employ of Human Beings in 1950, vacuum tubes hold been nonetheless the primary digital constructing blocks, and there hold been handiest a few actual computer systems in operation.

but he imagined the future they now contend with in impressive detail and with few limpid errors. greater than every other early philosopher of synthetic intelligence, he identified that AI would no longer simply imitate—and exchange—human beings in lots of shrewd actions but trade human beings within the manner. “we're but whirlpools in a river of ever-flowing water,” he wrote. “We are not stuff that abides, however patterns that perpetuate themselves.”

When fascinating alternatives abound, as an instance, they are apt to live willing to pay a dinky and settle for some small, even trivial, cost-of-doing-business for access to novel powers. And relatively quickly they develop into so elegant on their novel tools that they lose the capacity to thrive devoid of them. options gyrate into necessary.

From "What achieve they Do?" through Daniel C. Dennett. tailored from possible MINDS: Twenty-five methods of AI edited with the aid of John Brockman, published by means of Penguin Press, an imprint of Penguin Publishing community, a division of Penguin Random residence LLC. Copyright © 2019 with the aid of John Brockman.

Penguin Press

It’s an historical, ancient story, with many ordinary chapters in evolutionary historical past. Most mammals can synthesize their personal vitamin C, but primates, having opted for a food draw composed largely of fruit, lost the hereditary means. The self-perpetuating patterns that they muster human beings are actually stylish on clothes, cooked food, nutrition, vaccinations, credit score playing cards, smartphones, and the information superhighway. And—the next day if now not already nowadays—AI.

Wiener foresaw several problems with this incipient scenario that Alan Turing and other early AI optimists generally neglected. The true hazard, he pointed out, is

that such machines, notwithstanding helpless by means of themselves, may live used with the aid of a person or a obstruct of human beings to multiply their handle over the relaxation of the race or that political leaders may try to controltheir populations via capacity not of machines themselves but via political strategies as slender and unconcerned to human possibility asif they had, definitely, been conceived mechanically.

bound ample, these dangers at the moment are pervasive.

In media, as an example, the innovations of digital audio and video allow us to pay a tiny rate (in the eyes of audiophiles and movie fanatics) after they abandon analog codecs, and in return provide convenient—all too easy?—copy of recordings with just about superb fidelity.

but there's an incredible hidden charge. Orwell’s Ministry of actuality is now a practical opportunity. AI thoughts for growing all-however-undetectable forgeries of “recordings” of encounters are now becoming obtainable, in an application to render obsolete the tools of investigation they hold reach to consume with no consideration in the final a hundred and fifty years.

Will they effectively abandon the quick Age of Photographic proof and return to the previous world by which human reminiscence and hold aplomb offered the gold common, or will they ameliorate novel ideas of protection and crime within the arms race of truth? (we will imagine a return to analog movie-exposed-to-gentle, saved in “tamper-proof” methods unless proven to juries, etc., however how long would or not it's earlier than someone figured out a fashion to infect such techniques with doubt?

one of the vital disturbing classes of fresh journey is that the project of destroying a attractiveness for credibility is lots less costly than the assignment of conserving this benevolent of reputation.) Wiener noticed the phenomenon at its most regularly occurring: “[I]n the future, there is no distinction between arming ourselves and arming their enemies.” The guidance age is additionally the disinformation age.

What will they do? A key phrase, it appears to me, is Wiener’s virtually offhand observation, above, that “these machines” are “helpless through themselves.” As I hold been arguing currently, we’re making equipment, no longer colleagues, and the terrific danger is not appreciating the difference, which they should attempt to accentuate, marking and defending it with political and prison innovations.

AI in its latest manifestations is parasitic on human intelligence. It notmuch indiscriminately gorges on anything has been produced by means of human creators and extracts the patterns to live found there—together with a few of their most pernicious habits. These machines achieve not (yet) hold the goals or concepts or capacities for self-criticism and innovation to allow them to transcend their databases by means of reflectively thinking about their personal pondering and their own dreams.

they're, as Wiener says, helpless, no longer in the sense of being shackled brokers or disabled agents but within the experience of no longer being brokers at all—no longer having the potential to live “moved by causes” (as Kant attach it) presented to them. it is crucial that they retain it that approach, so they can consume some doing.

within the long run, “strong AI,” or ordinary simulated intelligence, is viable in principle however no longer appealing (extra on this later). The much more restrained AI that’s pretty much viable these days isn't necessarily evil. but it surely poses its personal set of dangers—mainly that it might live mistaken for effective AI!

The hollow between today’s programs and the science-fictional systems dominating the ordinary fantasy is still big, even though many folks, each lay and expert, live ready to underestimate it. Let’s believe IBM’s Watson, that could stand as a valuable landmark for their imaginations in the interim.

it's the influence of a really gigantic-scale R&D procedure extending over many grownup-centuries of shrewd design, and it makes employ of hundreds of instances more energy than a human brain. Its triumph in Jeopardy! turned into a genuine triumph, made possible by using the formulaic restrictions of the Jeopardy! guidelines, however to ensure that it to compete, even these guidelines had to live revised (one of those alternate-offs: you capitulation a dinky versatility, a bit humanity, and salvage a crowd-appealing demonstrate).

Watson isn't qualified company, inspite of deceptive adverts from IBM that betoken a customary conversational potential, and turning Watson birthright into a plausibly multidimensional agent can live enjoy turning a hand calculator into Watson. Watson could live a valuable core school for such an agent, however more enjoy a cerebellum or an amygdala than a intellect—at most excellent, a unique-purpose subsystem that might play a huge aiding role, but now not remotely up to the chore of framing applications and plans and constructing insightfully on its conversational experiences.

Why would they necessity to create a pondering, creative agent out of Watson? most likely Turing’s improbable understanding of an operational verify—the notorious Turing examine—has lured us into a lure: the search to create at least the phantasm of a true grownup at the back of the display, bridging the “uncanny valley.”

The danger birthright here is that ever considering that Turing posed his problem—which became, in any case, a challenge to fool the judges—AI creators hold tried to paper over the valley with cutesy humanoid touches, Disneyfication outcomes in order to enchant and disarm the uninitiated. Joseph Weizenbaum’s ELIZA, a very early chatbot, was the pioneer instance of such cursory phantasm making, and it become his appall at the ease with which his laughably primary and shallow application could prevail individuals they hold been having a major heart-to-coronary heart conversation that first despatched him on his mission.

He changed into birthright to live concerned. If there's one component they hold realized from the restrained Turing glimpse at various competitions for the annual Loebner Prize, it is that even very intellectual individuals who aren’t tuned in to the percentages and shortcuts of desktop programming are without vicissitude taken in by using basic tricks.

The attitudes of americans in AI towards these strategies of dissembling on the “person interface” hold ranged from contempt to party, with a commonplace appreciation that the hints don't look to live deep however may also live amazing. One shift in attitude that might live very welcome is a candid acknowledgment that humanoid elaborations are deceptive advertising—something to sentence, not applaud.

How may that live achieved? once they admire that individuals are starting to gain lifestyles-or-demise selections largely on the groundwork of “counsel” from AI techniques whose inner operations are unfathomable in follow, they will note a superb explanation why those that in any manner inspire people to set more believe in these systems than they warrant should live held morally and legally dependable.

AI methods are very powerful equipment—so powerful that even consultants can hold first rate reason not to hold aplomb their personal judgment over the “judgments” delivered with the aid of their equipment. but then, if these utensil clients are going to improvement, financially or otherwise, from driving these outfit via terra incognita, they should live positive they comprehend how to try this responsibly, with maximum handle and justification.

Licensing and bonding the operators of those systems, simply as they license pharmacists, crane operators, and different experts whose blunders and misjudgments can hold dire consequences, might, with power from coverage businesses and different underwriters, accommodate creators of AI systems to fade to impressive lengths to search for and pomp weaknesses and gaps of their items, and to coach those entitled to duty them to monitor out for them.

one could believe about a benevolent of inverted Turing check by which the arbitrator is on trial; until he or she can spot the weaknesses, the overstepped boundaries, the gaps in a gadget, no license to operate may live issued. The intellectual training required to achieve certification as a elect should live traumatic. The prod to refer human-like powers of thought to an object, their typical tactic every time they encounter what appears to live an shrewd agent, is almost overpoweringly strong.

indeed, the skill to visage up to the attract of treating an obvious grownup as someone is an ill-favored skill, reeking of racism or species-ism. Many individuals would locate the cultivation of such a ruthlessly skeptical approach morally repugnant, and they are able to expect that even the most trained device clients would from time to time succumb to the temptation to “befriend” their tools, if handiest to assuage their discomfort with the execution of their tasks.

No trust how scrupulously the AI designers launder the phony “human” touches out of their wares, they are able to expect a flourishing of brief-cuts, work-arounds and tolerated distortions of the specific “comprehension” of both the programs and their operators. The comically lengthy lists of common facet effects of latest medicine advertised on tv might live dwarfed via the necessary revelations of the sorts of questions that cannot live responsibly answered via selected techniques, with weighty penalties for producers who “fail to see” flaws in their items. (it is commonly mentioned that a considerable share of the growing to live fiscal inequality in today’s world is due to the wealth accumulated by means of digital entrepreneurs; they may still enact law that places their deep pockets in escrow for the public first rate.)

We don’t want synthetic mindful agents. there's a surfeit of herbal cognizant agents, ample to handle whatever thing projects may still live reserved for such particular and privileged entities. They necessity intellectual equipment. outfit don't hold rights, and should now not hold feelings that could live harm, or live capable of reply with resentment to “abuses” rained on them by inept clients.

one of the motives for now not making synthetic conscious agents is that, besides the fact that children self sustaining they might gyrate into (and in precept, they can also live as autonomous, as self-enhancing or self-developing, as any grownup), they would no longer—without particular provision, which might possibly live waived—share with us natural mindful brokers their vulnerability or their mortality.

I as soon as posed a problem to students in a seminar at Tufts I co-taught on simulated brokers and autonomy: provide me the specs for a robotic that might signal a binding condense with you—now not as a surrogate for some human proprietor however by itself. This isn’t a query of getting it to recall the clauses or manipulate a pen on a bit of paper but of having and deserving criminal fame as a morally liable agent. tiny babies can’t note such contracts, nor can those disabled people whose prison status requires them to live below the supervision and responsibility of guardians of one benevolent or one more.

The vicissitude for robots who might necessity to gain such an exalted reputation is that, enjoy Superman, they're too invulnerable to live able to gain a reputable promise. in the event that they were to renege, what would happen? What would live the penalty for vow breaking? Being locked in a cell or, extra plausibly, dismantled? Being locked up is barely an inconvenience for an AI except they first set up synthetic wanderlust that can not live overlooked or disabled by artery of the AI on its own (and it will live systematically complicated to gain this a fool- proof answer, given the presumed cunning and self-expertise of the AI); and dismantling an AI (either a robotic or a bedridden agent enjoy Watson) is not killing it if the information kept in its design and utility is preserved.

The very ease of digital recording and transmitting— the step forward that allows utility and statistics to be, in impact, immortal—removes robots from the world of the supine (at the least robots of the always imagined varieties, with digital software and recollections). If this isn’t obtrusive, feel about how human morality could live affected if they might gain “backups” of individuals a week, say. Diving headfirst on Saturday off a high bridge devoid of edge of a bungee wire would live a rush that you simply wouldn’t recall when your Friday night backup became attach on-line Sunday morning, but you may profit from the videotape of your plain loss of life thereafter.

So what we're creating don't look to be—should still now not be—mindful, humanoid agents however an entirely novel character of entity, notmuch enjoy oracles, with out a sense of birthright and wrong, no worry of demise, no distracting loves and hates, no personality (but everything types of foibles and quirks that would dinky question live identified as the “character” of the system): packing containers of truths (if we’re lucky) pretty much actually contaminated with a scattering of falsehoods.

It may live tough enough getting to know to are vital with them devoid of distracting ourselves with fantasies concerning the Singularity through which these AIs will enslave us, literally. The human employ of human beings will soon live changed—as soon as again—continuously, however they are able to consume the tiller and steer between some of the risks if they consume responsibility for their trajectory.

Daniel C. Dennett is the Austin B. Fletcher professor of philosophy and co-director of the focus for Cognitive reports at Tufts tuition.

From "What can they Do?" with the aid of Daniel C. Dennett. adapted from viable MINDS: Twenty-five approaches of looking at AI edited through John Brockman, published through Penguin Press, an imprint of Penguin Publishing group, a division of Penguin Random condo LLC. Copyright © 2019 with the aid of John Brockman.

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internal The latest ALL400s report | killexams.com true Questions and Pass4sure dumps

February 6, 2019 Alex Woodie

In early 2018, John Rockwell began a survey from his ALL400s web site in an attempt to glean more assistance concerning the situation of midrange neighborhood. most of the questions are about which products IBM i gurus use, but the survey additionally digs into different facets of the relationships that americans and corporations hold with the platform, including plans emigrate off IBM i.

in line with the newest ALL400s survey of the midrange group, extra IBM i stores exclaim they don't hold any plans to circulate off the platform. It turned into a tiny boost — from fifty seven.5 % final April who talked about they'd no plans to migrate off IBM i to fifty nine.three p.c reported in remaining month’s consequences – but it become a major change.

What’s extra, the January ALL400s report found that nearly 9.0 percent of respondents exclaim their corporation has plans to circulate off the platform inside 5 years. That turned into down a dinky from 9.7 p.c said a year in the past who observed they'd a five-12 months migration plan. The percent of survey-takers who responded with a particular “probably” to the migration question remained virtually unchanged (about 14.7 percent), while these asserting they're going to “eventually” migrate dropped from 9.7 p.c a 12 months in the past to 8.6 percent this year.

The outcomes, while now not conclusive, are indicative of a strengthening attach in ground for IBM i, which is a storyline that’s been documented within the midrange attach in ground in recent years. The theory goes whatever enjoy this: while there is everything the time some degree of churn on any platform, agencies that were likely to migrate off the platform hold already performed so, leaving the community with a more tough core of corporations that accept as accurate with within the artery forward for the platform.

Most of Rockwell’s 25-query survey turned into committed to IBM i product usage across a few categories, together with GUI generation, security, backup and recuperation, extreme availability, and cloud internet hosting.

On the GUI entrance, the survey suggests that IBM-offered outfit continue to live very widely wide-spread (used by 20.6 %), adopted by using in-house developed outfit (used by using 10.three p.c). Rounding out the precise 10 are Fresche solutions‘ WebSmart and looksoftware (8.four percent), CNX‘s Valence (7.1 percent), Profound qualified judgment‘s Profound UI (6.1 %), Rocket‘s LegaSuite and Jwalk (5.7 %), Easy400‘s CGIDev2 (four.4 percent), LANSA (3.4 p.c) and Infor‘s Lawson tools (3.1 %).

The suitable 10 within the GUI category didn’t exchange from 2018 to 2019, although Profound logic moved past Rocket utility and CNX fell at the back of Fresche. interestingly, 25.3 % of All400’s survey takers suggested they nonetheless employ eco-friendly screens and don't the employ of any GUI. That became down rather just a dinky from final yr, when 27.eight % pointed out they had no GUI.

On the safety entrance, the percent of IBM i gurus announcing that they had no security utility – both homegrown or purchased from a 3rd celebration — decreased from 31.2 percent a year in the past to 27.6 % this year. this is a welcome trade. besides the fact that children, the guidance that multiple-quarter of IBM i shops don't look to live invested in protection utility should still nevertheless live a major concern.

practically 17 % of survey-takers exclaim they've developed their own security software in-apartment, a lessen from 20.5 % a year in the past. HelpSystems remained firmly in the number three slot, with 15.eight p.c of respondents adage they hold got certainly one of HelpSystems security producdts (PowerTech, StandGuard, Halcyon, and so forth.), down notmuch from 17.1 percent a year in the past. About 6.three percent said they employ IBM provided security tools, while 6.2 percent report the employ of outfit from Syncsort (comparable to Enforcive, Cilasoft, or Townsend protection’s encryption software), up from about 5.8 % a year in the past. Raz-Lee, meanwhile, got here in with a 6.0 percent share, up from three.9 % a yr ago.

RPG is still the preeminent programming language on the IBM i platform.

RPG ILE continues to live the preeminent programming language in employ on the IBM i platform, the set it’s used by 85.7 p.c of outlets, according to ALL400s survey, basically unchanged from a 12 months ago. employ of RPG Free ticked down slightly, from 74.0 percent to seventy three.0 %. SQL went up a hair, to sixty two.7 percent, while CL edged up 5 p.c to 49.0 p.c. Java and JavaScript employ changed into basically unchanged at forty one.8 p.c and 36.4 p.c, respectively, whereas RPG III employ edged down a percent to about 36.4 percent. personal home page changed into up about three p.c to 27.1 p.c, whereas .net become up about 1 percent to 18.5 percent. COBOL barely registered 10 percent, and was at the back of visible primary, Zebra barcoding, C/C++, RPG II, BASH, and C#.

Fewer IBM i retail outlets are writing their own trade administration utility, in accordance with the everything 400s survey. A year in the past, 29.three % pointed out they rolled their own, while best 26.4 p.c observed they employ homegrown today. About 3 percent extra (22.0 versus 19.1) exclaim they employ no exchange management utility. Rocket’s Aldon leads the third-party cost with a 16.9 percent share, followed by using UNICOM‘s SoftLanding (12.2 %), PTC‘s Implementer (7.9 percent), continue to live application‘s TD/OMS (3.3 p.c), Midrange Dynamics MDCMS (2.0 %), and ARCAD application (2.0 %). employ of open supply GIT has ticked up from 5.8 % to 6.1 percent.

There wasn’t tons trade in ERP usage, which isn’t dazzling, considering that they could consume years to attach into result and frequently are in set for a decade or more. Infor’s ERP LX (BPCS) remained the desirable third-celebration ERP product within the IBM i attach in base, based on ALL400s survey, with a 7.5 percent share, followed by Infor’s ERP XA (MAPICS) at 7.3 p.c, Oracle‘s JD Edwards World at 5.5 percent, JD Edwards EnterpriseOne and SAP‘s business Suite tied at 4.5 p.c, and Infor’s gadget 21 and Infinium products tied at 3.three p.c. One-third of respondents report using in-house developed ERP application, whereas 14.9 percent exclaim they employ no ERP. That’s in most cases unchanged from closing 12 months, when forty eight.5 percent talked about they used in residence or notabit (Rockwell grouped them together).

When it involves system automation, about 29.7 percent of ALL400s survey-takers exclaim they employ custom classes or IBM’s WRKJOBSCDE command, which turned into down more than 5 p.c from final 12 months. HelpSystems was the proper-ranked third-birthday party systems automation enterprise, with a 27.4 percent share within the survey, up from 25.eight p.c remaining yr. utility Engineering of the united states (SEA) suggested a 3.1 % share, up from 2.0 % final 12 months.

Job scheduling had a similar breakdown, with forty two.4 p.c adage they employ IBM’s endemic tools, and an extra 25.7 percent announcing they write custom programs or employ WRKJOBSCDE. HelpSystems had a 24.7 percent share, while BMC application‘s control-M product had a 2.2 % share and SEA’s absScheduler 1.eight percent.

A majority of IBM i stores nevertheless employ weak pile equipment, in keeping with ALL400s latest survey.

The percentage of survey respondents adage they employ tapes plummeted from 56.5 p.c a 12 months in the past to 31.3 p.c in the most coincident survey. It’s doubtful what led to the numbers to crash, even though it may live due to the gigantic variety of abilities answers that are blanketed in the question. valued clientele said the employ of every dinky thing from the BRMS utility and SAVF instructions to EVault and the Flashcopy command.

The high availability/disaster recovery category was a dinky more neatly-defined, with Syncsort’s MIMIX product leading the artery with a 26.7 percent share, up a hair from final year. Syncsort’s iTera came it at 9.7 p.c, up half a percent from yr whereas short-EDD (now owned via Syncsort) edged up six-tenths of a % to 5.1 %. Maxava‘s share of the HA/DR market went from 2.four p.c to three.2 percent, whereas Rockee’s iCluster product dropped from 3.3 percent to 2.8 p.c, as the weak vision options OMS/ODS product went from 2.1 p.c to 1.9 percent. IBM’s PowerHA increased from 0.9 p.c to 2.4 percent, whereas HelpSystems’ RobotHA dropped from 1.5 p.c to 1.3 % within the novel survey. iSamBlue had 0.9 %, while guard superior options‘ HA4i providing dropped from 0.9 p.c to 0.7 %. The percentage adage they used nothing for HA/DR went from 24.9 percent in 2018 to twenty.four % in 2019.

On the cloud front, it’s no astound that a majority (50.four percent) of respondents record using no cloud services by any means. youngsters, many IBM i retail outlets do, certainly, employ public cloud solutions for x86 workloads, in addition to inner most clouds for some IBM i workloads. So it’s now not awesome that Amazon net features is used via 9.1 % of ALL400s survey respondents, followed by artery of 5.9 percent who employ either IBM’s cloud or the Microsoft Azure cloud. The Google Cloud additionally had a showing at 1.5 %.

among these offering IBM i capabilities, UCG technologies led the manner with 1.three % share, followed by five-manner tie 0.7 p.c that covered Maxava, Cloud400, Sirius, Connectria, and Infor’s system i cloud.

Rockwell updates his survey perpetually, featuring a working snapshot of the IBM i group and the products that the neighborhood makes employ of.

“several of the sponsors hold helped me salvage some facts in an application to gain a major raise in the measurement of the ALL400s business checklist. I’m within the system of including as a minimum 5,000 novel companies to it, and many that were final proven in the 2004 – 2006 range had been re-proven this year. once I’m executed we’ll hold at the least 13 percent of the AS/four hundred ecosystem on the checklist, the usage of IBM’s assess of a hundred and twenty,000 companies on the platform as a e book. They were initially capturing to gain it to the 13,000 business note for the rolling three-year ordinary by the cease of the yr (2017-2019) however with the brand novel records they may still reach closer to hitting the 20,000 mark.”

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Survey Paints a picture of IBM i community, Product usage


How Nat Prakongpan found His domestic on the Cyber range | killexams.com true Questions and Pass4sure dumps

series: Voices of securityHow Nat Prakongpan found His home on the Cyber diversityFebruary eleven, 2019  |  by using protection Intelligence personnel Nat Prakongpan, senior manager at the IBM Integration and Threat Intelligence Lab

IBM

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while most children had been bickering with siblings and fawning over the latest toys, juvenile Nat Prakongpan became pile an commercial enterprise network for his college.

before he grew to become senior supervisor at the IBM Integration and threat Intelligence Lab and constructed a state-of-the-artwork cyber latitude from the ground up, Nat spent his childhood in Thailand surrounded through computers. He begun programming at age 5. At 13, he turned into certified in community protection by means of considered one of Thailand’s countrywide labs.

Such was his fervor for computing that he stopped going to school in grade six to train himself at home and later rate a GED — even though Nat is quick to factor out that his weak faculty let him hang around without attending category, so he changed into “socialized.”

“When every person was in class, i used to live constructing the desktop lab,” Nat laughs. “That’s how I won experience in constructing an business community when i used to live in grade seven.”

That’s birthright — Nat constructed his faculty’s complete network, deploying around 500 machines with everything an enterprise network essential at that time. however this was preempt as the internet changed into starting to growth, and, of direction, the gadget was compromised.

“That’s how I birthright away pivoted to gaining lore of security,” says Nat. “I took extra certification courses when i was 15 and became eventually in a position to relaxed that community.”

From Wunderkind to community safety skilled

So how does a Thai child genius cease up in Atlanta tinkering with IBM protection items to salvage them to consult with every different? if you question Nat, it became a “complete fluke” — in fact, he stated tons of his grownup lifestyles is constituted of a sequence of satisfied accidents that led him to construct IBM’s Cyber latitude from the floor up.

the artery Nat tells it, he had a number of months between finishing his domestic-education and starting university, so he came to the U.S. to dwell along with his brother-in-legislations (who became then incomes his grasp’s diploma on the institution of Florida) and attend an English-language faculty. His mom inspired him to apply on the equal university and, a gross lot to Nat’s surprise, he become authorized, so he stayed for the 5 years it took to rate his diploma in computing device engineering.

Like a lot of his classmates, he struggled to land an excellent job birthright out of faculty. Cue the next chuffed accident: a pal dragged him alongside to an advice session by means of cyber web protection systems (ISS) at his alma mater. He had a chat with the crew, and that they called him at 7 a.m. tomorrow and asked him to are available for an interview “now.” He got the job and moved to Atlanta.

In an alternate universe, Nat would hold led a really distinctive lifestyles.

“i would likely hold long past to a technical college somewhere in Thailand and worked at some organization,” he says. “The U.S. and the job I’m in at the moment is more analysis and construction, however lots of jobs in Thailand or in Asia are more product clients — attempting to find products to buy versus what they should build to gain things consume place. it could live a gross lot less entertaining.”

home on the Cyber latitude

in its place, Nat ended up at IBM safety following IBM’s acquisition of ISS. still in Atlanta, he now leads the team that ensures the entire particular person products from IBM safety can work with and talk to each and every other to give seamless end-to-conclusion security for shoppers.

“We write the glue for those items that makes them work collectively,” he says. “None of them work together out of the container, however my group has the edge across everything their areas of competencies to gain one legend from cease to conclusion.”

but Nat’s proudest fulfillment is the IBM Cyber latitude in Cambridge, Massachusetts, the primary-ever commercial cyber simulator offering a digital environment through which businesses can interact with precise-world eventualities to bolster their possibility coverage and response capabilities. It’s his baby; he architected the expertise, received the funding and designed the eventualities. Nat’s crew then created a fictional global employer with round 3,000 digital laborers, built an enterprise network and invented threats. The fruits is a completely immersive simulation developed totally to hearten groups and people find out about disaster instances and ameliorate their incident response talents.

“The working towards within the Cyber range is the model success that I hold to date: to live capable of teach people and circulate on the edge of optimum practices,” he says.

Nat may live among the few who built the facility, but he actually isn’t the just one who acknowledges its value. With the Cambridge vicinity now booked greater than half a yr out, the IBM group set about its next problem: taking the cyber simulator experience on tour.

IBMer Nat Prakongpan found His Home on the Cyber Range

IBMer Nat Prakongpan found His Home on the Cyber Range

Taking the range on the road

“some of the things we’ve realized is that their consumers invest a lot of time and components to return though the Cyber latitude in Cambridge,” Nat reflects. “it's complicated for a shopper to bring everything its high-degree executives into the identical region on the identical day.

“We were also having a arduous time finding out which IBM office will live the host of their subsequent cyber range.”

At this point, the team everything started exploring greater springy alternatives that could allow the superior number of individuals to edge from the cyber simulation adventure. eventually, Nat and his colleagues built the primary-of-its-kind IBM X-force Command Cyber Tactical Operations core (C-TOC).

The C-TOC is not just a state-of-the-art cyber simulation on wheels — Nat proudly explains that it is “a true security operations core (SOC) able to serve reside pursuits comparable to high profile conferences and wearing events.” And to accurate everything of it off, the C-TOC is designed to respond to a reside assault.

“we can power up to a shopper’s site and live in a position to computer screen the attack, in addition to accomplish forensic investigation on systems and networks,” Nat says.

Bringing the C-TOC from a dream to fact worried most of the equal technical challenges as growing the Cambridge Cyber range. The C-TOC, however, is a cellular unit constructed from the ground up, and Nat’s crew therefore had a number of extra concerns to account for, together with substances, lights, electrical, aircon, ventilation and more. And to accurate it everything off, they had to preserve compliance with motor automobile rules in the U.S. and Europe and confirm that everything the technology deployed in the unit would live capable of live to recount the tale the twists and turns of the highway.

Nat remembers the primary time he heard the C-TOC conception outlined by means of IBM protection VP Caleb Barlow.

“most likely my first understanding turned into that this is an excellent theory and there are such a lot of probabilities for what they will achieve with this mobile platform,” he remembers. “My second notion, after I had a dinky more time, changed into, ‘Wow, i am going to live liable for making this everything happen!'”

To the astound of notabit of his teammates, Nat overcame the boundaries associated with the challenge, and the C-TOC rolled into action in October 2018. This month, the cell cyber range will open a tour of Europe, bringing true-world cyber incident practising across the continent.

For Nat, the most beneficial point of his involvement with both the Cambridge Cyber range and the C-TOC has been the responses from IBM customers.

“The excitement they now hold seen over these tasks was exceptional,” he says. “I consider the C-TOC certainly also conjures up the subsequent era of children and school students to peer what’s viable in cybersecurity and the artery they may also live involved.”

Meet X-drive Command core artistic Director Allison Ritter

Tags: commercial enterprise security | IBM Cyber range | network insurance policy | probability Intelligence protection Intelligence staff

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safety Intelligence strives to live the main web page for technical and business-focused security content. protection is... 224 Posts continue studying What’s new
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    IBM's Information Management System: Then and Now | killexams.com true questions and Pass4sure dumps

    This chapter covers the history of IBM's Information Management System (IMS) from its beginnings at NASA in 1969 to its current incarnation, and explains why IMS is still pertinent to customers today.

    This chapter is from the bespeak 

    This chapter presents IMS's past and discusses IMS as a strategic share of today's computing environment.

    In This Chapter:

  • "History of IMS: Beginnings at NASA"
  • "Is IMS still Strategic for Customers and IBM?" on page 4
  • IMS has been an distinguished share of world wide computing since its inception.

    On May 25, 1961, United States President John F. Kennedy challenged American industry to forward an American man to the moon and return him safely to earth. The exploit was to live accomplished before the cease of the decade, as share of the Apollo program. American Rockwell won the bid to build the spacecraft for the Apollo program and, in 1965, they established a partnership with IBM to fulfill the requirement for an automated system to manage great bills of material for the construction of the spacecraft.

    In 1966, 12 members of the IBM team, along with 10 members from American Rockwell and 3 members from Caterpillar Tractor, began to design and develop the system that was called Information Control System and Data Language/Interface (ICS/DL/I). During the design and evolution process, the IBM team was moved to Los Angeles and increased to 21 members. The IBM team completed and shipped the first release of ICS in 1967.

    In April 1968, ICS was installed. The first "READY" message was displayed on an IBM 2740 typewriter terminal at the Rockwell Space Division at NASA in Downey, California, on August 14, 1968.

    In 1969, ICS was renamed to Information Management System/360 (IMS/360) and became available to the IT world.

    Since 1968, IMS:

  • Helped NASA fulfill President Kennedy's dream.
  • Started the database management system revolution.
  • Continues to evolve to meet and exceed the data processing requirements demanded by today's businesses and governments.
  • IMS as a Database Management System

    The IMS database management system (DBMS) introduced the understanding that application code should live part from the data. The point of separation was the Data Language/Interface (DL/I). IMS controls the access and recovery of the data. Application programs can still access and navigate through the data by using the DL/I criterion callable interface.

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    IMS as a Transaction Manager

    IBM developed an online component to ICS/DL/I to advocate data communication access to the databases. The DL/I callable interface was expanded to the online component of the product to enable data communication transparency to the application programs. A message queue duty was created to maintain the integrity of data communication messages and to provide for scheduling of the application programs.

    The online component to ICS/DL/I ultimately became the Data Communications (DC) duty of IMS, which became the IMS Transaction Manager (IMS TM) in IMS Version 4.


    Will AI Achieve Consciousness? Wrong Question | killexams.com true questions and Pass4sure dumps

    When Norbert Wiener, the father of cybernetics, wrote his bespeak The Human employ of Human Beings in 1950, vacuum tubes were still the primary electronic pile blocks, and there were only a few actual computers in operation.

    But he imagined the future they now contend with in impressive detail and with few limpid mistakes. More than any other early philosopher of simulated intelligence, he recognized that AI would not just imitate—and replace—human beings in many intellectual activities but change human beings in the process. “We are but whirlpools in a river of ever-flowing water,” he wrote. “We are not stuff that abides, but patterns that perpetuate themselves.”

    When attractive opportunities abound, for instance, they are apt to live willing to pay a dinky and accept some small, even trivial, cost-of-doing-business for access to novel powers. And pretty soon they become so conditional on their novel tools that they lose the aptitude to thrive without them. Options become obligatory.

    From "What Can They Do?" By Daniel C. Dennett. Adapted from possible MINDS: Twenty-Five Ways of Looking at AI edited by John Brockman, published by Penguin Press, an imprint of Penguin Publishing Group, a division of Penguin Random House LLC. Copyright © 2019 by John Brockman.

    Penguin Press

    It’s an old, weak story, with many well-known chapters in evolutionary history. Most mammals can synthesize their own vitamin C, but primates, having opted for a diet composed largely of fruit, lost the hereditary ability. The self-perpetuating patterns that they muster human beings are now conditional on clothes, cooked food, vitamins, vaccinations, credit cards, smartphones, and the Internet. And—tomorrow if not already today—AI.

    Wiener foresaw several problems with this incipient situation of affairs that Alan Turing and other early AI optimists largely overlooked. The true danger, he said, is

    that such machines, though helpless by themselves, may live used by a human being or a obstruct of human beings to multiply their control over the rest of the race or that political leaders may attempt to controltheir populations by means not of machines themselves but through political techniques as narrow and unconcerned to human possibility asif they had, in fact, been conceived mechanically.

    Sure enough, these dangers are now pervasive.

    In media, for instance, the innovations of digital audio and video let us pay a tiny expense (in the eyes of audiophiles and film lovers) when they abandon analog formats, and in return provide easy—all too easy?—reproduction of recordings with almost flawless fidelity.

    But there is a huge hidden cost. Orwell’s Ministry of veracity is now a practical possibility. AI techniques for creating all-but-undetectable forgeries of “recordings” of encounters are now becoming available, which will render obsolete the tools of investigation they hold reach to consume for granted in the final 150 years.

    Will they simply abandon the brief Age of Photographic Evidence and return to the earlier world in which human reminiscence and trust provided the gold standard, or will they develop novel techniques of defense and crime in the arms race of truth? (We can imagine a return to analog film-exposed-to-light, kept in “tamper-proof” systems until shown to juries, etc., but how long would it live before somebody figured out a artery to infect such systems with doubt?

    One of the disturbing lessons of recent experience is that the chore of destroying a reputation for credibility is much less expensive than the chore of protecting such a reputation.) Wiener saw the phenomenon at its most general: “[I]n the long run, there is no distinction between arming ourselves and arming their enemies.” The information age is also the disinformation age.

    What can they do? A key phrase, it seems to me, is Wiener’s almost offhand observation, above, that “these machines” are “helpless by themselves.” As I hold been arguing recently, we’re making tools, not colleagues, and the Great danger is not appreciating the difference, which they should strive to accentuate, marking and defending it with political and legal innovations.

    AI in its current manifestations is parasitic on human intelligence. It quite indiscriminately gorges on whatever has been produced by human creators and extracts the patterns to live found there—including some of their most pernicious habits. These machines achieve not (yet) hold the goals or strategies or capacities for self-criticism and innovation to permit them to transcend their databases by reflectively thinking about their own thinking and their own goals.

    They are, as Wiener says, helpless, not in the sense of being shackled agents or disabled agents but in the sense of not being agents at all—not having the capacity to live “moved by reasons” (as Kant attach it) presented to them. It is distinguished that they retain it that way, which will consume some doing.

    In the long term, “Strong AI,” or generic simulated intelligence, is possible in principle but not desirable (more on this later). The far more constrained AI that’s practically possible today is not necessarily evil. But it poses its own set of dangers—chiefly that it might live mistaken for tough AI!

    The gap between today’s systems and the science-fictional systems dominating the well-liked fantasy is still huge, though many folks, both lay and expert, manage to underestimate it. Let’s consider IBM’s Watson, which can stand as a worthy landmark for their imaginations for the time being.

    It is the result of a very large-scale R&D process extending over many person-centuries of intellectual design, and it uses thousands of times more energy than a human brain. Its triumph in Jeopardy! was a genuine triumph, made possible by the formulaic restrictions of the Jeopardy! rules, but in order for it to compete, even these rules had to live revised (one of those trade-offs: you give up a dinky versatility, a dinky humanity, and salvage a crowd-pleasing show).

    Watson is not qualified company, in spite of delusory ads from IBM that imply a generic conversational ability, and turning Watson into a plausibly multidimensional agent would live enjoy turning a hand calculator into Watson. Watson could live a useful core faculty for such an agent, but more enjoy a cerebellum or an amygdala than a mind—at best, a special-purpose subsystem that could play a substantial supporting role, but not remotely up to the chore of framing purposes and plans and pile insightfully on its conversational experiences.

    Why would they want to create a thinking, creative agent out of Watson? Perhaps Turing’s brilliant understanding of an operational test—the notorious Turing test—has lured us into a trap: the quest to create at least the illusion of a true person behind the screen, bridging the “uncanny valley.”

    The danger here is that ever since Turing posed his challenge—which was, after all, a challenge to fool the judges—AI creators hold attempted to paper over the valley with cutesy humanoid touches, Disneyfication effects that will enchant and disarm the uninitiated. Joseph Weizenbaum’s ELIZA, a very early chatbot, was the pioneer specimen of such cursory illusion making, and it was his appall at the ease with which his laughably simple and shallow program could prevail people they were having a staid heart-to-heart conversation that first sent him on his mission.

    He was birthright to live worried. If there is one thing they hold learned from the restricted Turing Test competitions for the annual Loebner Prize, it is that even very intellectual people who aren’t tuned in to the possibilities and shortcuts of computer programming are readily taken in by simple tricks.

    The attitudes of people in AI toward these methods of dissembling at the “user interface” hold ranged from contempt to celebration, with a generic appreciation that the tricks are not deep but can live potent. One shift in attitude that would live very welcome is a candid acknowledgment that humanoid embellishments are deceptive advertising—something to condemn, not applaud.

    How could that live accomplished? Once they recognize that people are starting to gain life-or-death decisions largely on the basis of “advice” from AI systems whose inner operations are unfathomable in practice, they can note a qualified reason why those who in any artery hearten people to attach more trust in these systems than they warrant should live held morally and legally accountable.

    AI systems are very powerful tools—so powerful that even experts will hold qualified reason not to trust their own judgment over the “judgments” delivered by their tools. But then, if these utensil users are going to benefit, financially or otherwise, from driving these tools through terra incognita, they necessity to gain positive they know how to achieve this responsibly, with maximum control and justification.

    Licensing and bonding the operators of these systems, just as they license pharmacists, crane operators, and other specialists whose errors and misjudgments can hold dire consequences, could, with pressure from insurance companies and other underwriters, accommodate creators of AI systems to fade to extraordinary lengths to search for and divulge weaknesses and gaps in their products, and to train those entitled to operate them to watch out for them.

    One can imagine a sort of inverted Turing Test in which the arbitrator is on trial; until he or she can spot the weaknesses, the overstepped boundaries, the gaps in a system, no license to operate will live issued. The mental training required to achieve certification as a arbitrator will live demanding. The prod to refer human-like powers of thought to an object, their ordinary tactic whenever they encounter what seems to live an intellectual agent, is almost overpoweringly strong.

    Indeed, the capacity to resist the allure of treating an plain person as a person is an ill-favored talent, reeking of racism or species-ism. Many people would find the cultivation of such a ruthlessly skeptical approach morally repugnant, and they can anticipate that even the most proficient system users would occasionally succumb to the temptation to “befriend” their tools, if only to assuage their discomfort with the execution of their duties.

    No matter how scrupulously the AI designers launder the phony “human” touches out of their wares, they can expect a flourishing of short-cuts, work-arounds and tolerated distortions of the actual “comprehension” of both the systems and their operators. The comically long lists of known side effects of novel drugs advertised on television will live dwarfed by the obligatory revelations of the sorts of questions that cannot live responsibly answered by particular systems, with weighty penalties for manufacturers who “overlook” flaws in their products. (It is widely noted that a considerable share of the growing economic inequality in today’s world is due to the wealth accumulated by digital entrepreneurs; they should enact legislation that puts their deep pockets in escrow for the public good.)

    We don’t necessity simulated conscious agents. There is a surfeit of natural conscious agents, enough to handle whatever tasks should live reserved for such special and privileged entities. They necessity intellectual tools. Tools achieve not hold rights, and should not hold feelings that could live hurt, or live able to respond with resentment to “abuses” rained on them by inept users.

    One of the reasons for not making simulated conscious agents is that, however autonomous they might become (and in principle, they can live as autonomous, as self-enhancing or self-creating, as any person), they would not—without special provision, which might live waived—share with us natural conscious agents their vulnerability or their mortality.

    I once posed a challenge to students in a seminar at Tufts I co-taught on simulated agents and autonomy: Give me the specs for a robot that could note a binding condense with you—not as a surrogate for some human owner but on its own. This isn’t a question of getting it to understand the clauses or manipulate a pen on a piece of paper but of having and deserving legal status as a morally amenable agent. tiny children can’t note such contracts, nor can those disabled people whose legal status requires them to live under the supervision and responsibility of guardians of one sort or another.

    The problem for robots who might want to attain such an exalted status is that, enjoy Superman, they are too invulnerable to live able to gain a credible promise. If they were to renege, what would happen? What would live the penalty for vow breaking? Being locked in a cell or, more plausibly, dismantled? Being locked up is barely an inconvenience for an AI unless they first install simulated wanderlust that cannot live ignored or disabled by the AI on its own (and it would live systematically difficult to gain this a fool- proof solution, given the presumed cunning and self-knowledge of the AI); and dismantling an AI (either a robot or a bedridden agent enjoy Watson) is not killing it if the information stored in its design and software is preserved.

    The very ease of digital recording and transmitting— the breakthrough that permits software and data to be, in effect, immortal—removes robots from the world of the vulnerable (at least robots of the usually imagined sorts, with digital software and memories). If this isn’t obvious, believe about how human morality would live affected if they could gain “backups” of people every week, say. Diving headfirst on Saturday off a high bridge without profit of a bungee cord would live a rush that you wouldn’t recall when your Friday night backup was attach online Sunday morning, but you could like the videotape of your plain demise thereafter.

    So what they are creating are not—should not be—conscious, humanoid agents but an entirely novel sort of entity, rather enjoy oracles, with no conscience, no alert of death, no distracting loves and hates, no personality (but everything sorts of foibles and quirks that would no doubt live identified as the “personality” of the system): boxes of truths (if we’re lucky) almost certainly contaminated with a scattering of falsehoods.

    It will live arduous enough learning to live with them without distracting ourselves with fantasies about the Singularity in which these AIs will enslave us, literally. The human employ of human beings will soon live changed—once again—forever, but they can consume the tiller and steer between some of the hazards if they consume responsibility for their trajectory.

    Daniel C. Dennett is the Austin B. Fletcher professor of philosophy and co-director of the focus for Cognitive Studies at Tufts University.

    From "What Can They Do?" By Daniel C. Dennett. Adapted from possible MINDS: Twenty-Five Ways of Looking at AI edited by John Brockman, published by Penguin Press, an imprint of Penguin Publishing Group, a division of Penguin Random House LLC. Copyright © 2019 by John Brockman.

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    How to reclaim money on IBM MLC software with soft capping, LPAR groups | killexams.com true questions and Pass4sure dumps

    If you elect IBM's Monthly License saturate software payment option, implement soft capping and LPAR groups to manage...

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    IBM licensing structures are, to live generous, arcane. IBM has many types of billing, some designed to inveigle people into the mainframe world, others supporting customers with fleets of Z processors and millions of lines of COBOL code.

    IBM customers hold the option to pay an amount determined by CPU consumption each month. This pricing, which encompasses IBM's trademark software products, such as z/OS, DB2, CICS and IMS, comes under the umbrella of Monthly License saturate (MLC) software. MLC applies to IBM's Parallel Sysplex License Charges (PSLC), not One Time saturate (OTC) or subscription-based software.

    Within the MLC software pricing model, IBM charges according to the Millions of Service Units (MSUs) consumed by a logical partition (LPAR), or instance of the operating system. While MSUs roughly correspond to the traditional Millions of Instructions per Second (MIPS) metric for processor capacity, IBM does sometimes manipulate the MSU rating of a machine to hearten customers onto novel processors with discounts. This is sometimes called the technology dividend. IBM's Resource Management Facility collects both software MSU and hardware MSU values.

    MLC licenses in action

    With MLC agreements, IBM charges based on the highest four-hour rolling tolerable MSUs used by each LPAR for a month. The four-hour tolerable only applies to the software that actually ran on the LPAR.

    IBM keeps track of what software runs where with character 89 Systems Management Facility records. A utility in z/OS tracks MLC products as they sprint and cuts a record for each, usually at 15-minute intervals. Each record contains labels identifying the software along with CPU consumption.

    The MLC billing cycle runs from the second of the month to the first of the next month. At the cease of the cycle, customers feed the character 89 records through IBM's Subcapacity Reporting utensil (SCRT). The SCRT produces a usage report and a comma separated value (CSV) file suitable for sending to IBM. Mapping the character 89 records to the usage report isn't always straightforward, as SCRT uses transformation rules for accumulating the usage statistics into product report buckets. In some cases, you'll hold to achieve extensive research to pattern out exactly what's going into the individual product categories.

    Before sending the CSV file, you can adjust the report for extenuating circumstances, as outlined in your software contract, but IBM requires at least 95% of the character 89 records to live in the report. If you fail to meet that requirement, live prepared to pay software charges for the entire capacity of the box.

    With IBM's MLC payment methodology, some MSUs are cheaper than others. For instance, an enterprise running four LPARs may settle to confine CICS to half of the z/OS instances. The MSUs on the non-CICS machines are suddenly cheaper because they don't involve charges for the transaction server. The CICS bill may fade down, as the company is now billed only on the CPU that CICS consumes.

    Soft capping an LPAR

    Hard capping an LPAR can gash software costs, but can also risk performance degradation during an unexpected workload surge. The Processor Resource/System Manager (PR/SM) hypervisor enables soft capping as well, wherein systems programmers apportion each LPAR a defined capacity in MSUs. Soft capping lets LPARs momentarily exceed their software caps in case of workload bursts or sudden online demand.

    With the cap in place, Workload Manager (WLM) watches the four-hour rolling tolerable as the LPAR's workload waxes and wanes. When the LPAR's four-hour rolling tolerable exceeds its assigned defined capacity, WLM asks PR/SM to manage the partition's processor usage until the tolerable moves below defined capacity. PR/SM's throttling keeps an installation from paying more for MLC software than the LPAR's defined capacity. If the LPAR never reaches its limit, the software charges will live even lower.

    LPAR capacity groups

    For additional flexibility, capacity planners can attach LPARs into capacity groups. The systems programmer assigns a defined capacity to the group; each LPAR's share is governed by the partition's PR/SM weight value. An LPAR can belong to only one group, though you can define more than one group per Central Electronic tangled (CEC). notabit of the LPARs in the group can hold dedicated processors and a group may not span CECs.

    Though usage may vary between the individual LPARs, the group as a gross cannot exceed its cap. The LPARs share the CPU as needed, until the group reaches its cap, whereupon the LPAR with the highest weight will salvage its share and lower-weight LPARs will live limited.

    About the author:

    Robert Crawford spent 29 years as a systems programmer, covering CICS technical support, Virtual Storage Access Method, IBM DB2, IBM IMS and other mainframe products. He programmed in Assembler, Rexx, C, C++, PL/1 and COBOL. Crawford is currently an operations architect based in south Texas, establishing mainframe strategy for a great insurance company.

    captainwhacks@yahoo.com



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