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LOT-803 exam Dumps Source : Using LotusScript in IBM Lotus Domino 8 Applications

Test Code : LOT-803
Test name : Using LotusScript in IBM Lotus Domino 8 Applications
Vendor name : IBM
real questions : 90 actual Questions

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IBM Using LotusScript in IBM

IBM Db2 query Optimization the usage of AI | killexams.com actual Questions and Pass4sure dumps

In September 2018, IBM introduced a brand newfangled product, IBM Db2 AI for z/OS. This artificial intelligence engine screens facts entry patterns from executing SQL statements, makes exhaust of computing device getting to know algorithms to select top-quality patterns and passes this tips to the Db2 question optimizer for exhaust through subsequent statements.

computer researching on the IBM z Platform

In might likewise of 2018, IBM announced edition 1.2 of its laptop getting to know for z/OS (MLz) product. this is a hybrid zServer and cloud utility suite that ingests performance statistics, analyzes and builds fashions that symbolize the health reputation of quite a lot of indicators, screens them over time and offers actual-time scoring capabilities.

a pair of points of this product offering are aimed at assisting a community of model developers and executives. for example:

  • It supports multiple programming languages equivalent to Python, Scala and R. This enables information modelers and scientists to exhaust a language with which they are ordinary;
  • A graphical user interface called the visual model Builder courses model builders without requiring particularly-technical programming expertise;
  • It comprises assorted dashboards for monitoring model outcomes and scoring services, as well as controlling the gadget configuration.
  • This computer getting to know suite became firstly aimed at zServer-based mostly analytics applications. one of the first evident selections changed into zSystem performance monitoring and tuning. gadget management Facility (SMF) records that are immediately generated by the operating gadget deliver the raw information for gadget useful resource consumption equivalent to vital processor utilization, I/O processing, recollection paging and so on. IBM MLz can compile and save these information over time, and construct and school fashions of gadget behavior, ranking those behaviors, establish patterns not effectively foreseen by using humans, strengthen key performance indicators (KPIs) after which feed the mannequin outcomes again into the system to impress device configuration adjustments that may enhance performance.

    The next step become to attach into sequel this suite to anatomize Db2 performance statistics. One answer, referred to as the IBM Db2 IT Operational Analytics (Db2 ITOA) solution template, applies the computing device discovering technology to Db2 operational facts to profit an realizing of Db2 subsystem health. it might probably dynamically build baselines for key efficiency indicators, give a dashboard of those KPIs and provides operational group of workers real-time perception into Db2 operations.

    whereas established Db2 subsystem performance is an distinguished factor in habitual software fitness and performance, IBM estimates that the DBA champion team of workers spends 25% or extra of its time, " ... fighting entry direction complications which trigger performance degradation and repair impact.". (See Reference 1).

    AI comes to Db2

    consider the plight of modern DBAs in a Db2 atmosphere. In modern IT world they should aid one or extra massive information applications, cloud software and database features, application installing and configuration, Db2 subsystem and software efficiency tuning, database definition and management, calamity recovery planning, and extra. question tuning has been in actuality considering that the origins of the database, and DBAs are constantly tasked with this as smartly.

    The coronary heart of question course analysis in Db2 is the Optimizer. It accepts SQL statements from applications, verifies authority to access the statistics, reports the areas of the objects to live accessed and develops an inventory of candidate statistics access paths. These access paths can consist of indexes, table scans, quite a few table live allotment of strategies and others. within the records warehouse and massive facts environments there are continually extra choices purchasable. One of these is the actuality of summary tables (sometimes referred to as materialized question tables) that include pre-summarized or aggregated statistics, for this reason enabling Db2 to avert re-aggregation processing. a different option is the starjoin access course, habitual within the statistics warehouse, where the order of table joins is modified for performance motives.

    The Optimizer then reviews the candidate access paths and chooses the entry path, "with the lowest charge." cost during this context faculty a weighted summation of useful resource utilization including CPU, I/O, reminiscence and different supplies. ultimately, the Optimizer takes the bottom pervade access path, stores it in recollection (and, optionally, within the Db2 listing) and starts access path execution.

    big information and records warehouse operations now consist of utility suites that enable the enterprise analyst to acquire exhaust of a graphical interface to build and exploit a miniature information mannequin of the statistics they requisite to analyze. The applications then generate SQL statements according to the users’ requests.

    The issue for the DBA

    as a course to finish respectable analytics for your multiple facts stores you requisite an outstanding knowing of the facts requirements, an understanding of the analytical functions and algorithms available and a excessive-efficiency facts infrastructure. alas, the number and location of statistics sources is expanding (each in dimension and in geography), facts sizes are starting to be, and purposes proceed to proliferate in number and complexity. How should IT managers steer this environment, chiefly with the most experienced and age personnel nearing retirement?

    take note additionally that a large allotment of decreasing the entire can pervade of ownership of these programs is to fetch Db2 functions to hurry sooner and more efficaciously. This usually interprets into using fewer CPU cycles, doing fewer I/Os and transporting much less records throughout the community. on the grounds that it's commonly intricate to even determine which functions could advantage from performance tuning, one routine is to automate the detection and correction of tuning considerations. here is the Place laptop discovering and artificial intelligence will likewise live used to remarkable impact.

    Db2 12 for z/OS and synthetic Intelligence

    Db2 edition 12 on z/OS uses the computing device gaining scholarship of facilities mentioned above to collect and withhold SQL question textual content and access course particulars, in addition to specific performance-related archaic assistance reminiscent of CPU time used, elapsed instances and outcomes set sizes. This providing, described as Db2 AI for z/OS, analyzes and retailers the statistics in computer researching fashions, with the mannequin evaluation outcomes then being scored and made purchasable to the Db2 Optimizer. The next time a scored SQL statement is encountered, the Optimizer can then exhaust the model scoring facts as input to its entry route alternative algorithm.

    The result may silent live a reduction in CPU consumption as the Optimizer makes exhaust of model scoring input to opt for more suitable access paths. This then lowers CPU expenses and speeds utility response times. a major expertise is that the usage of AI utility does not require the DBA to believe records science expertise or abysmal insights into question tuning methodologies. The Optimizer now chooses the premiere entry paths based mostly not simplest on SQL question syntax and records distribution statistics however on modelled and scored historic performance.

    This can likewise live particularly crucial if you save facts in numerous locations. as an example, many analytical queries towards huge statistics require concurrent entry to sure records warehouse tables. These tables are often known as dimension tables, and they include the information elements constantly used to exploit subsetting and aggregation. as an instance, in a retail atmosphere accord with a desk referred to as StoreLocation that enumerates every save and its Place code. Queries against withhold earnings records may likewise are looking to aggregate or summarize income via vicinity; therefore, the StoreLocation table might live used by some immense records queries. during this atmosphere it's typical to buy the dimension tables and copy them consistently to the massive facts application. in the IBM world this location is the IBM Db2 Analytics Accelerator (IDAA).

    Now feel about SQL queries from both operational purposes, information warehouse users and massive facts company analysts. From Db2's standpoint, sum these queries are equal, and are forwarded to the Optimizer. however, in the case of operational queries and warehouse queries they should most likely live directed to entry the StoreLocation table within the warehouse. even so, the question from the enterprise analyst against huge information tables should probably access the replica of the table there. This outcomes in a proliferations of potential access paths, and extra travail for the Optimizer. fortuitously, Db2 AI for z/OS can provide the Optimizer the recommendation it needs to acquire smart access path decisions.

    the course it Works

    The sequence of pursuits in Db2 AI for z/OS (See Reference 2) is commonly right here:

  • all the course through a bind, rebind, prepare or elaborate operation, an SQL remark is handed to the Optimizer;
  • The Optimizer chooses the facts access path; as the option is made, Db2 AI captures the SQL syntax, entry route option and question efficiency statistics (CPU used, and so forth.) and passes it to a "gaining scholarship of project";
  • The discovering assignment, which will likewise live finished on a zIIP processor (a non-frequent-purpose CPU core that doesn't aspect into application licensing fees), interfaces with the computer learning utility (MLz mannequin capabilities) to store this assistance in a mannequin;
  • as the volume of records in every mannequin grows, the MLz Scoring service (which can likewise live completed on a zIIP processor) analyzes the mannequin information and rankings the habits;
  • right through the next bind, rebind, attach together or explain, the Optimizer now has access to the scoring for SQL fashions, and makes acceptable adjustments to entry route choices.
  • There are additionally various user interfaces that give the administrator visibility to the fame of the amassed SQL remark performance statistics and mannequin scoring.

    abstract

    IBM's computing device studying for zOS (MLz) offering is getting used to tremendous sequel in Db2 version 12 to augment the efficiency of analytical queries in addition to operational queries and their associated applications. This requires administration consideration, as you requisite to check that your enterprise is ready to ingest these ML and AI conclusions. How will you measure the costs and merits of the usage of computer researching? Which IT steer team of workers should live tasked to reviewing the sequel of mannequin scoring, and maybe approving (or overriding) the effects? How will you assessment and justify the assumptions that the application makes about entry path choices?

    In different words, how smartly finish you know your records, its distribution, its integrity and your current and proposed entry paths? this may determine the Place the DBAs spend their time in assisting analytics and operational application efficiency.

    # # #

    Reference 1

    John Campbell, IBM Db2 distinctive EngineerFrom "IBM Db2 AI for z/OS: raise IBM Db2 application performance with computer studying"https://www.worldofdb2.com/movements/ibm-db2-ai-for-z-os-raise-ibm-db2-utility-performance-with-ma

    Reference 2

    Db2 AI for z/OShttps://www.ibm.com/guide/knowledgecenter/en/SSGKMA_1.1.0/src/ai/ai_home.html


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    Using LotusScript in IBM Lotus Domino 8 Applications

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    IBM crosses signals: Domino or Workplace? | killexams.com actual questions and Pass4sure dumps

    In-Depth

    IBM crosses signals: Domino or Workplace?
  • By Stephen Swoyer
  • 02/01/2005
  • Rumors about the impending demise of IBM’s Lotus Notes/Domino platform are nothing new. However, when IBM announced its Lotus Workplace messaging and collaboration platform in late 2003, the fate of the venerable combination seemed lost in space.

    Workplace, for the uninitiated, is a messaging and collaboration platform that’s powered by IBM’s WebSphere Web Application Server. Many Lotus customers are wary about Workplace because immense Blue already markets Lotus Notes, another messaging and collaboration environment, which is based on another application server, the near-decade-old Domino.

    At first, IBM was observant to position Workplace as an offering for shops without Notes and Domino—or any other messaging platform, for that matter. Over the eventual 12 months, however, IBM has disclosed more ambitious plans for Workplace. Officials are adamant that Notes and Domino aren’t going anywhere, of course. However, at the same time, the company is delivering, or plans to deliver, more tools to promote Domino and Workplace coexistence–or to facilitate full-fledged Domino-to-Workplace migrations. At some point, IBM officials say, Domino and Workplace will converge into one product.

    It’s not surprising, then, that some longtime Notes/Domino developers buy a decidedly pessimistic view of that platform’s future. 'As far as I can narrate from the buzz, Domino is on the course to its grave within the next few years, and I will live forced to find an alternative,' says Robert LaRock, a programmer with touchstone Abrasives. When that happens, he says, Workplace probably won’t live on his short list. touchstone Abrasives is a tiny company, and LaRock doesn’t believe the budget or in-house expertise to transition to Workplace or WebSphere. 'We believe several faultfinding applications running on the Domino platform, in addition to mail,' LaRock explains. 'Our company has a considerable investment in Domino evolution skills and infrastructure. It will live painful to abandon it.'

    However, sum this begs the question: Why should longtime Lotus customers such as touchstone Abrasives jump ship to Workplace? After all, Domino is justly celebrated as a platform that enables the rapid evolution of collaborative applications, and many shops believe made substantial investments in custom Domino-based software projects.

    What’s more, before IBM delivered Domino in 1996, the programming community concentrated heavily on the Notes client. If customers acquire the pace to Workplace, they’ll want to buy these applications based on Domino/Notes with them. Depending on how significantly they believe invested in the platform, this could live a daunting proposition. Unless IBM pulls the plug on Notes and Domino, some say, there’s dinky chance these customers will budge on their own.

    'None of my clients has made the migration, nor are they intending to,' says Patricia Egen, a principal with Notes and Domino consultancy Patricia Egen Consulting. 'They are too confused—as they sum are—by the IBM plan, and until they believe a more cozy opinion of what’s actually in the works, they are not choosing to move.'

    Nevertheless, IBM believes many customers will want to finish just that. What viable incentive, short of threatening to haul the plug on Domino and Notes, could IBM give existing customers to convince them to acquire the pace to Workplace?

    Domino is RADDomino’s biggest selling point is its ease of use, particularly from a programming perspective. Its primary evolution environment, Domino Designer, uses a script-based language called LotusScript, which many Notes and Domino developers compare to Visual Basic, both for its simplicity and rapid application evolution capabilities. 'We can whip out an application in under a week and sometimes fetch the first prototype in just a pair of hours,' says John Dillon, developer and administrator for a $100 million research and evolution company.

    This is often the case, Dillon says, even when applications believe demanding workflow requirements, thanks largely to the Notes and Domino combo’s excellent workflow management capabilities. There’s canned champion for workflow management in the groundwork Domino Designer IDE, and IBM offers a standalone Lotus Workflow product, a graphical design instrument and workflow engine that sits on top of Domino and speeds the creation and deployment of apps that believe sophisticated workflows. 'Obviously the bigger systems relish travel or purchasing require quite a bit more time to attach together, but lessons erudite in the immense projects believe really streamlined their evolution process for smaller projects as well,' he comments.

    Dillon isn’t the only developer who sings the praises of Domino’s RAD and workflow management capabilities. buy longtime Notes and Domino shop touchstone Abrasives, which has built several custom applications on top of Notes and Domino, including a research and evolution project tracking and management champion system, an action request system, and an employee records application. sum involve knotty workflows that handle a number of different applications and systems.

    In this respect, LaRock says, the faculty to quickly and cheaply build powerful collaborative applications helps offset the comparatively towering cost of Notes and Domino’s annual licensing and maintenance fees. 'Frankly, the yearly licensing for Domino is exorbitantly expensive for us. However, the towering cost is offset by the low cost of development,' he confirms.

    LaRock doubts he and his team of Domino developers could duplicate their travail with as dinky effort in a Workplace environment. 'Our custom applications revolve around automating various workflows and integrating them with Domino’s faculty to easily present applications using Notes clients and Web browsers,' he confirms. 'We acquire extensive exhaust of Domino’s faculty to create workflow, notification and tracking applications. The primary appeal is the ease and hurry that this can live done using Domino.'


    Domino is Not Dead: Why Now Is a advantageous Time to reckon a newfangled Value Proposition, allotment 1 | killexams.com actual questions and Pass4sure dumps

    Domino dynamo: this 20-year veteran buys you more bang for your buck than ever before. Martin Leon tells you about the virtues of Domino and how much mileage you can fetch out of this dynamo of an application platform.

    Like this article? They recommend 

    I believe been a Domino developer for the past 13 years, and for as long as I believe been working with the platform, I am continually surprised and dismayed to believe to elaborate to technical recruiters or interviewers what Lotus Domino is and what you can finish with it. My appall is because although there are a few key features that acquire Domino stand out from other application evolution platforms, I've heard repeatedly throughout my tenure as a Domino developer that "Domino is dead."

    Thus, I write this article to set things straight.

    There are a few key features that acquire Domino stand out from other application evolution platforms. In this article, I want to limn these features and panoply you how they can capitalize your bottom line.

    So what is Domino? Lotus Domino is an IBM product that has a history going back 20 years. At its core, Domino is a cross-platform application server. It provides security, database, mail, web, and job scheduling services. Also, Domino can live extended through add-ons to provide additional functionality.

    Figure 1 A lone Domino server provides a wide variety of services.

    The latest release of the Domino server is version 8.5. A Lotus Domino 8.5 server can live installed on Windows (Windows Server 2003 and 2008 including X64 versions), Linux (Novell SUSE and Red Hat Enterprise Linux), Sun Solaris, and IBM AIX 5.3 and 6.1.

    Most people believe heard of "Lotus Notes" or "Notes Mail." The latter is a bit of a misnomer because mail is only one of the services and applications that arrive included in the platform. Within the platform the Lotus Notes Client is the "client" and Lotus Domino is the "server".

    Originally, you purchased a Lotus Notes Server along with as many Lotus Notes Clients as you needed for your business. In 1995, when Notes R4.5 was released, the server portion of this client-server relationship came with an integrated HTTP server that provided web access to the Lotus Notes applications that it was hosting.

    From that point on, you no longer needed to buy Lotus Notes Clients to access Notes applications, not even for the email application.

    Now you had the option to exhaust a web browser as your application client. HTTP integration marked the point when the server product began to live sold separately as the Lotus Domino Server and was a key turning point in how HTTP integration allows you to develop Domino applications targeted at web browsers in addition to, or instead of, the Lotus Notes Client.


    Creating a Todo app with IBM Notes and Node.js | killexams.com actual questions and Pass4sure dumps

    How to create a simple Todo app using

  • IBM Notes, with IBM ODBC Driver
  • Node js
  • Express
  • Angular
  • Creating the Todos view and Todo Form

    Create an todos.nsf database in Notes with a view with the alias name todos, and a configuration called Todo.The todos view, should believe a column called unid, todoText and todoComplete. The unid column shows the documents universialID.

    Create a configuration with the fields, todoText and todoComplete.

    Then create a newfangled Todo document with some data.

    Configuring the ODBC driver

    You’ll requisite the IBM ODBC Driver for Notes/Domino. You can fetch it from http://www.ibm.com/developerworks/lotus/toolkits.html

    If you want to exhaust the driver with the Notes Client, you’ll requisite to exhaust the 32bit version.

    Download and install the driver, then start up the windows ODBC manager.

    c:\Windows\SysWOW64\odbcad32.exe

    Add a newfangled Lotus Notes SQL Driver (*.nsf) Config the driver, exhaust local for server, and todos.nsf for database.

    I did add my user.id file and my password to the driver, then I don’t believe to attach in that information when connecting to the database later.

    Go to the Connection Pooling tab(in ODBC Manager), I added 600 sec. for the Lotus Notes SQL Driver.

    Installing odbc driver for node

    For connection to the odbc in node I’m using the node-odbc driver. The node-odbc driver requires node-gyp, if you believe anguish installing it, read the install instructions over at https://github.com/nodejs/node-gyp

    npm install odbc

    Test the connection

    Create a file called app.js

    node app.js

    If your connection is OK, it should print one row with the document they created earlier.

    The Todo Expess app

    First they requisite to load their dependencies, create a connection pool, and likewise set a static folder to attach their front-end html/css & javascripts.

    The required dependencies, are:

    Create the endpoints for the leisure API.

    GET POST PUT DELETE

    The complete app.js should recognize relish this

    Now their leisure api is completed.

    There are plenty of tutorials on how to create an angular Todo apps. Instead of repeating that information here, you can download the complete Todo app with with both the Express app and the Angular front-end from https://github.com/nthjelme/notesnodetodo

    After you believe downloaded the code, open a console, cd to the folder you downloaded the code, and type:

    npm installnpm start

    Open http://localhost:3000 in your browser, and you should live able to behold the Todo app running! (If you created the view,form the odbc connection the same course as above.)



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