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250-401 Administration of Symantec Management(R) Platform 7.0 with Notification Server

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250-401 exam Dumps Source : Administration of Symantec Management(R) Platform 7.0 with Notification Server

Test Code : 250-401
Test title : Administration of Symantec Management(R) Platform 7.0 with Notification Server
Vendor title : Symantec
real questions : 173 existent Questions

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Symantec Administration of Symantec Management(R)

Heavy obligate on Symantec as it Seeks a brand unique CEO | killexams.com existent Questions and Pass4sure dumps

First identify: final name: e-mail handle: Password: verify Password: Username:

Title: C-level/President manager VP group of workers (affiliate/Analyst/and so on.) Director

function:

position in IT resolution-making manner: Align company & IT dreams Create IT strategy investigate IT wants manipulate seller Relationships consider/Specify brands or vendors different position license Purchases now not worried

Work mobile: company: company size: industry: road tackle metropolis: Zip/postal code State/Province: nation:

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Will Symantec live able to hang Investor pastime in 2015? | killexams.com existent Questions and Pass4sure dumps

Symantec Continues to Disappoint investors in Fiscal 2015

(endured from Prior part)

Faltering salary growth is shaking investor self belief

As we’ve already considered in this series, Symantec’s (SYMC) revenues fell 6.6% on a 12 months-over-year basis to $1.5 billion. Fiscal 4Q15 marks Symantec’s third consecutive quarter of yr-over-yr income decline.

The company is neatly conventional for its Norton antivirus application and a diverse portfolio of security software offerings. however the traffic continues to live struggling to obtain profits boom. here is a majestic hardship considering that the global protection capabilities market is expected to grow in the future. in response to Sandler analysis, the international security features market is expected to develop at a CAGR (compound annual boom cost) of 10.13% from 2014 to 2019.

Hope for Symantec’s enterprise safety section

As we’ve already viewed, Symantec’s common performance in fiscal 4Q15 and monetary 2015 did not meet investor expectations. however, they may quiet too remove a near resolve Symantec’s reallocation of its R&D (analysis and construction) investments to lore multiply areas dote its enterprise security application section.

despite traffic protection’s degrowth in fiscal 2015, its two subsegments—Endpoint protection and DLP (records Loss Prevention)—correctly achieved 5% and 6% year-over-year increase, respectively. This multiply generates some hope that these subsegments may well live able to setaside Symantec’s commercial enterprise security division returned on track for salary.

in keeping with the 451 community, Symantec leads the DLP market with a 47% market share, because the above chart suggests. It’s adopted via Intel’s McAfee (INTC) with an 18% market participate and EMC (EMC) with a 4% share. technology behemoths Microsoft (MSFT) and IBM (IBM) try to enter this abruptly growing to live market.

in response to the 451 neighborhood, “Symantec has essentially the most-referred to endpoint protection (antivirus) retort in the enterprise, at 41% in use, as well because the main facts-loss prevention ([or] DLP) product.”

If Symantec manages to dangle or expand its presence in this house, there’s a tough likelihood that the enterprise security aspect will revive. Symantec’s tips management aspect may quiet slit up off by using October 2015, for you to setaside pressure on Symantec to heart of attention on commercial enterprise protection to power its earnings growth. In its 4Q15 revenue free up, Symantec shared that the traffic released forty one unique enterprise protection items in fiscal 2015.

1Q16 expectations

For 1Q16, Symantec expects earnings and EPS (earnings per share) to live $1.5 billion to $1.54 billion and $0.forty one to $0.44 per share, respectively. For fiscal 2016, Symantec expects profits and EPS to live within the latitude of $6.21 to $6.35 billion and $1.eighty to $1.90, respectively.

if you’re bullish about Symantec, which you can invest within the know-how elect Sector SPDR Fund (XLK) to profit exposure to Symantec. XLK invests about 0.forty one% of its holdings in Symantec.

Browse this collection on Market Realist:


Microsoft adds Former Symantec CEO And IBM Exec John Thompson To Board | killexams.com existent Questions and Pass4sure dumps

Microsoft has added a brand unique board member today—John W. Thompson, the manager executive officer of digital devices and former chairman and CEO of Symantec. This brings Microsoft’s board’s measurement to 10 contributors.

Thompson at the second serves as CEO of digital instruments, which offers products that consequence sure the efficiency and availability of functions deployed in virtualized and personal cloud computing environments. Thompson additionally served as chairman and CEO of Symantec from 1999 to 2009, the space he grew revenues from $600 million to over $6 billion. He stepped down as CEO of Symantec in 2009, and stepped down from Symantec’s board of directors in 2011.

previously, Thompson held a few govt positions at IBM, including earnings, advertising and marketing, application progress and standard supervisor of IBM Americas. Thompson become too reportedly being considered as Commerce Secretary below the Obama Administration.

“John has incredible know-how and company abilities, and we're delighted that he is becoming a member of Microsoft’s board of administrators,” talked about invoice Gates, Microsoft chairman.

apart from Thompson, Microsoft’s board of directors consists of Gates, CEO Steve Ballmer; Dina Dublon, former chief fiscal officer of JPMorgan Chase; Raymond Gilmartin, former chairman, president and CEO of Merck & Co. Inc.; Netflix founder and CEO Reed Hastings; Dr. Maria M. Klawe, president, Harvey Mudd school; David F. Marquardt, universal partner at August Capital; Charles H. Noski, vice chairman of monetary institution of america Corp.; and Dr. Helmut G. W. Panke, former chairman of the board of administration at BMW AG.

Symantec has had a involved relationship with Microsoft over the past, which makes Thompson’s appointment pleasing. As described via ZDNet in 2007, Thompson has up to now described Microsoft as a companion, ally and competitor to Symantec.


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Administration of Symantec Management(R) Platform 7.0 with Notification Server

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Inside the IBM BigInsights platform for majestic data management | killexams.com existent questions and Pass4sure dumps

Editor's note: In June 2017, IBM announced that it is ending the progress of BigInsights and becoming a reseller of Hortonworks Inc.'s Hadoop distribution, Hortonworks Data Platform (HDP). As Part of the deal, IBM will drudgery to migrate complete existing IBM BigInsights customers to HDP.

IBM BigInsights combines its enterprise capabilities and industry-standard Hadoop components into a lone platform, enabling users to manage and resolve large volumes of structured and unstructured data.

IBM BigInsights features several advanced analytics capabilities, including sophisticated text analytics; BigSheets for advanced data exploration; and majestic SQL, which enables SQL access to data in a Hadoop cluster. Added-value enterprise capabilities are designed to enhance and simplify application progress and system implementation, as well as provide features that better performance, scalability, reliability, security and administration.

IBM BigInsights release 4.1 includes the IBM Open Platform with Apache Hadoop, as well as several prepackaged value-add modules containing proprietary advanced enterprise-grade features.

IBM Open Platform with Apache Hadoop, IBM's core distribution of open source Hadoop, includes the following Apache components: Ambari (2.1), Apache Kafka (0.8.2), Flume (1.5.2),Ganglia (3.1.7), Hadoop ( 2.7.1), HBase (1.1.1), Hive (1.2.1), Knox (0.6.0), Lucene (4.7.0), Nagios (3.5.1), Oozie (4.2.0), Parquet (4.0), Parquet MR/format (1.6.0/2.2), Pig (0.15.0), Slider (0.80.0), Solr (5.1.0), Spark (1.4.1), Sqoop (1.4.6.), Terada Connector for Hadoop (1.4) and Zookeeper (3.4.6)

BigInsight value-add modules include:

IBM BigInsights Analyst, which provides specific tools for data analysis. The modules embrace BigInsights Home service, the primary interface used to launch other BigInsights components, as well as majestic SQL and BigSheets:

  • Big SQL is an advanced SQL engine that provides users who accommodate standard SQL query skills with mercurial query access to data in a Hadoop cluster within a lone query, whether it live in Hive, HBase or Hadoop Distributed File System enabled by massively parallel processing technology. The product too supports federated query access to IBM DB2, Oracle, Teradata and Open Database Connectivity sources.
  • BigSheets lets users explore, transform and achieve visualizations on large data sets stored in Hadoop through a spreadsheet-like Web interface. The tool supports mercurial queries against massive data sets by translating user actions into MapReduce functions against the Hadoop cluster.
  • IBM BigInsights Data Scientist, which enables users with advanced analytics skills tools to gain further insight into the data in the cluster. In addition to components provided as Part of the Analyst module, the following tools are too included:

  • Big R, which provides users close with the R language a set of libraries, enabling them to develop and exercise R language functions on data residing in the IBM BigInsights cluster. This tool lets users achieve involved operations and queries using R against large data sets by hiding some of the complexity of writing MapReduce functions.
  • Text Analytics, which is a powerful and intuitive tool for extracting information from unstructured and semi-structured text.
  • SystemML, which provides users with a tool to exercise an R-like syntax to achieve statistical functions and machine learning constructs. The tools enable the algorithms to live executed in a distributed fashion across nodes of a cluster using MapReduce or Spark (in memory). IBM contributed SystemML to the open source community, and it has been accepted as an Apache Incubator project.
  • IBM Enterprise Management module, which provides enterprise-grade capabilities to back cluster scaling and performance through parallel computing and application grid management. The module too provides other enterprise features to back cluster security and reliability. IBM Enterprise Management includes IBM Spectrum Scale-FPO, a Portable Operating System Interface-compliant file system that can live used in space of Hadoop Distributed File System. This gives administrators more control and improved integration capabilities with other systems in the enterprise. too included is IBM Platform Symphony, which provides administrators with tools to efficiently manage multiple platform instances as well as enables back for data isolation for multi-tenant environments.

    IBM BigInsights for Apache Hadoop, which includes the contents of the three modules eminent above.

    BigInsights modules operate on Linux servers. circumstantial system requirements embrace operating system and hardware, as well as supported software.

    While IBM BigInsights modules can live downloaded and installed on-premises, the company too offers BigInsights on Cloud, Hadoop as a service on IBM's global cloud infrastructure. This option provides users with complete the features of BigInsights in a 24/7 managed environment.

    IBM BigInsights licensing and distribution

    While IBM's Open Platform with Apache Hadoop is available as an open source free-to-use distribution, BigInsight's value-add modules require IBM licensing for purposes other than evaluation. Contact IBM or an IBM traffic partner for circumstantial pricing and back options.

    IBM offers the BigInsights Quick Start evaluation edition of its software for nonproduction use.

    IBM is a founding member of the Open Data Platform Initiative, a group of majestic data industry leaders and vendors that promote technologies based on open source on the Apache Hadoop ecosystem and participate in efforts to promote interoperability of majestic data tools.


    SMIC Reports 2017 Fourth Quarter Results | killexams.com existent questions and Pass4sure dumps

    No result found, try unique keyword!All currency figures stated in this report are in US Dollars unless stated otherwise. The consolidated monetary statements are prepared in accordance with International monetary Reporting Standards ...

    Importing Your MongoDB Data to AWS With Atlas | killexams.com existent questions and Pass4sure dumps

    Cloud providers dote Amazon Web Services provide you with a large array of options for hosting MongoDB. But in their relish supporting progress teams, long-term management of the data layer, whether that is MongoDB, or any other database, adds operational overhead, and can too distract available resources from more strategic initiatives. MongoDB Atlas provides you with a managed database service, Run by MongoDB, that allows you to seamlessly deploy and expand your data layer, reducing the cycles your team spends on undifferentiated database administration work.

    MongoDB Atlas

    Instance Configuration Considerations

    AWS provides users with many options when it comes to compute and disk storage, but selecting the prerogative options can live tricky if you’re not experienced. And as your application grows, increased management complexity may become an issue.

    If your instance size is no longer the prerogative option for you in AWS, resizing may require you to consequence manual modifications. Long term, this may too require you to further manage the day to day aspects of the health of your EBS volumes, which involves creating unique alerts for every EBS volume that you create each time, unique tagging of information related to the disks, and further inventory documentation. You could manage this by yourself and indeed many organizations accommodate built up the expertise and internal processes to carryout so. Or you could slump to a more managed model for your data layer, one where operational and security best practices are handled for you.

    Selecting MongoDB Atlas as the platform for your MongoDB database means that rather than concerning yourself with scaling, you can point and click to select the prerogative cluster for your data; Atlas automatically handles the upgrade. Alerting, IOPS management, and long-term management are simplified for you with MongoDB Atlas.

    Secure in the Cloud

    Security should always live top of reason for a production application. When running a MongoDB deployment, it's Important to follow best practices. Is your database's network properly configured to forestall unwanted users from accessing it? Rather than configuring this yourself, the easiest passage to ensure your data is secure is by using MongoDB Atlas, and letting the service wield it for you.

    "We requisite speed. Speed's what they need. Greasy, mercurial speed!"— Mickey in Rocky II

    Innovation requires the competence to slump quickly, and self hosted environments require more drudgery by the user to consequence major modifications to their database server's disk size or speed.Here are just some of the reasons you might reckon using a database as a service dote MongoDB Atlas rather than managing databases yourself:

  • A self-managed database may eventually Run out of local disk space, which will require manual intervention; MongoDB Atlas allows you to expand disk on the fly.
  • A self-managed database will require you to set up and maintain a monitoring suite or pay for a third-party hosted monitoring service; MongoDB Atlas comes out of the box with charts tracking apposite metrics, so you derive insights faster, and derive notifications when it is time to adjust capacity
  • A self-managed database solution requires you to define the processes and infrastructure for data durability; MongoDB Atlas offers continuous backups with point in time recovery and queryable snapshots.
  • A self-managed database may buckle under a large influx of unique traffic until you manually intervene; MongoDB Atlas allows you to dynamically scale your database while allowing your front halt app to wield unique incoming traffic.
  • The very basic examples above demonstrate why many companies are migrating from their self-managed instances to database services with built in operational and security best practices. In this blog post, I'll contend the process of taking a standalone MongoDB server and migrating it to MongoDB Atlas, the fully managed MongoDB database as a service using the data import service.

    Migrating to Database as a Service (DBaaS)

    MongoDB Atlas live migration supports the following migration paths for specific MongoDB versions.

    Source Replica Set Version Destination Cluster version 3.0 3.2 3.2 3.2 3.4 3.4

    Before I derive started, I want to live sure to verify my MongoDB version is supported. Later in this post, I'll verify what my existing version is.

    Standalone (Migration Source)

    Today I will live working with data that is housed on my progress Linux server in the cloud. Because the MongoDB installation was for development, it was created as a standalone instance. I want to Run a db.serverStatus() to collect some basic details before I derive my migration started. I can retrograde to the command line of this standalone database server and Run the following command, db.serverStatus(); here are some truncated results:

    [root@myappdev people-bson]# resound "db.serverStatus()" | mongo | more MongoDB shell version v3.4.4 connecting to: mongodb://127.0.0.1:27017 MongoDB server version: 3.4.4 { "host" : "myappdev", "version" : "3.4.4", "process" : "mongod", "pid" : NumberLong(3031), "uptime" : 534, "uptimeMillis" : NumberLong(533489), "uptimeEstimate" : NumberLong(533), "localTime" : ISODate("2017-05-04T20:32:33.082Z"), "asserts" : { "regular" : 0, "warning" : 0, "msg" : 0, "user" : 0, "rollovers" : 0 },

    The hostname above myappdev is Part of my /etc/hosts file. I'll requisite to accommodate a fully qualified domain title as Part of my hostname that resolves in order to transmogrify my standalone. I’m running MongoDB version 3.4.4, which is supported by Atlas live migration.

    [root@myappdev people-bson]# ping myappdev PING localhost6 (127.0.0.1) 56(84) bytes of data. 64 bytes from localhost (127.0.0.1): icmp_seq=1 ttl=255 time=0.013 ms 64 bytes from localhost (127.0.0.1): icmp_seq=2 ttl=255 time=0.023 ms Convert the Standalone to a Replica Set

    Tip: If you’re already running a MongoDB replica set, just skip ahead to "MongoDB Atlas (Migration Target)" section.

    In order to migrate data with Atlas live migration, my MongoDB database must accommodate an oplog. My standalone server is not configured with an oplog, so I'll accommodate to transmogrify it to a replica set. To carryout this, I'll requisite to consequence some changes to my MongoDB configuration — I can start mongod from a configuration file, /etc/mongod.conf, and edit accordingly. As a replica set, my cluster will accommodate an oplog, which their MongoDB Atlas data migration service will exercise in the migration process. This ensures that the data being written to my application will too live written to my destination cluster in MongoDB Atlas as the migration process is happening.

    Convert standalone

    First, I open the file in vim and condition that my database is now a replica set. I can carryout this by opening the /etc/mongod.conf file and adding the following two lines to the very bottom of the file:

    replication: replSetName: myapp

    After I add this change, I'll requisite to restart mongod quickly. I can exercise my local restart script that was provided when I installed MongoDB:

    [root@myappdev people-bson]# service mongod restart Stopping mongod: [ OK ] Starting mongod: [ OK ]

    I can log into this cluster and initialize the replica set with the rs.initiate() command:

    [root@myappdev people-bson]# mongo MongoDB shell version v3.4.4 connecting to: mongodb://127.0.0.1:27017 MongoDB server version: 3.4.4 Server has startup warnings: 2017-05-04T21:15:59.900+0000 I STORAGE [initandlisten] 2017-05-04T21:15:59.900+0000 I STORAGE [initandlisten] ** WARNING: Using the XFS filesystem is strongly recommended with the WiredTiger storage engine 2017-05-04T21:15:59.900+0000 I STORAGE [initandlisten] ** view http://dochub.mongodb.org/core/prodnotes-filesystem 2017-05-04T21:16:00.126+0000 I CONTROL [initandlisten] 2017-05-04T21:16:00.126+0000 I CONTROL [initandlisten] ** WARNING: Access control is not enabled for the database. 2017-05-04T21:16:00.126+0000 I CONTROL [initandlisten] ** Read and write access to data and configuration is unrestricted. 2017-05-04T21:16:00.126+0000 I CONTROL [initandlisten] > rs.initiate() { "info2" : "no configuration specified. Using a default configuration for the set", "me" : "myappdev:27017", "ok" : 1 } myapp:PRIMARY> note databases admin 0.000GB local 0.000GB people-list 0.163GB

    Our standalone MongoDB instance now is a lone node replica set with an oplog, permitting us to start the migration process.

    Firewall Rules

    In order to permit access to my lone node replica set for the migration to remove place, I will requisite to consequence just a few more changes. I will requisite to permit inbound network connections to my lone node replica set in both MongoDB and on my firewall. If I did not occur to live using a firewall, I would only accommodate to modify the network interfaces the mongod process binds itself to.

    I will live adding IP's 4.71.186.128/25 and 4.35.16.128/25 to my firewall to access my MongoDB port (27017) as directed by the live import documentation. If my source server was in AWS, I would live making this modification to my MongoDB progress server's security group.

    bindIP

    By default, this is just localhost or 127.0.0.1, which will not permit remote services access to the mongod port, 27017. Once again, it's time to revert to the /etc/mongod.conf file and consequence a modification.

    Open the /etc/mongod.conf file and find the line:

    bindIp: 127.0.0.1 # Listen to local interface only, comment to listen on complete interfaces.

    Add a hash sign before this line as the directions say. It should study dote this:

    # bindIp: 127.0.0.1 # Listen to local interface only, comment to listen on complete interfaces.

    Then restart mongod and corroborate your database is back online:

    [root@myappdev people-bson]# mongo MongoDB shell version v3.4.4 connecting to: mongodb://127.0.0.1:27017 MongoDB server version: 3.4.4 Server has startup warnings: 2017-05-04T21:32:16.631+0000 I STORAGE [initandlisten] 2017-05-04T21:32:16.631+0000 I STORAGE [initandlisten] ** WARNING: Using the XFS filesystem is strongly recommended with the WiredTiger storage engine 2017-05-04T21:32:16.631+0000 I STORAGE [initandlisten] ** view http://dochub.mongodb.org/core/prodnotes-filesystem 2017-05-04T21:32:16.856+0000 I CONTROL [initandlisten] 2017-05-04T21:32:16.856+0000 I CONTROL [initandlisten] ** WARNING: Access control is not enabled for the database. 2017-05-04T21:32:16.856+0000 I CONTROL [initandlisten] ** Read and write access to data and configuration is unrestricted. 2017-05-04T21:32:16.856+0000 I CONTROL [initandlisten] myapp:PRIMARY> MongoDB Atlas (Migration Target)

    To derive ready for my migration, I first requisite to sign up for MongoDB Atlas, create a group, and then create a unique cluster. You will requisite to exercise a production MongoDB Atlas cluster in order to migrate your data as the M0 free tier is not currently supported as a migration target.

    I accommodate launched an M10 cluster to become my migration target. As a reminder, I can modify this at any time to consequence it larger, or add different disk properties.

    I'll retrograde ahead and then provide a whitelist entry to my web app host server's IP and then connect to my MongoDB Atlas cluster via the shell to ensure my database is working properly.

    Whitelist entry

    This will consequence sure I am able to consequence a network connection as soon as I am ready to slit over to my unique MongoDB Atlas cluster.

    Now I can commence this process of importing my data into Atlas. I've gone ahead and selected the menu option "Migrate Data to Cluster", which will commence the process of importing my data.

    Migrate data to cluster

    A unique window providing me details on required actions is surfaced next. This window will detail some of the requirements such as the authentication details, the primary hostname, and a CAFile if I’m using SSL on my lone node replica set.

    I've prepped complete the prerogative parts, it's time to click "I'm ready to migrate" and derive to work!

    Ready to migrate

    Migrate to MongoDB Atlas

    I am now brought to a window which asks me for a few details about my source. Since I was really not sure about authentication when I built my app, I only used network-based security. There won't live a username and password, nor SSL on my lone node replica set to enter.

    I only accommodate a lone node, so by default this is the primary I’ll provide to the dialog box. After I click "Validate", I will live given a green window stating that the oplog is readable from the import service, and that I’m ready to migrate my data.

    Migrate data

    I will now retrograde ahead and click "Start Migration" and commence the process of importing my data to MongoDB Atlas.

    Start migration

    While the data is migrated, I will view the progress in my MongoDB Atlas cluster continue until I am provided with an indication of the completion of the initial sync from my “remote” replica set to my MongoDB Atlas cluster.

    Setting Up Database Users

    With MongoDB Atlas’ user management capabilities, I can configure a "least privilege access control" for my app. I will retrograde to Security->Users and create a user for my webapp with access only to the database "people-list", which is where unique writes will live stored.

    myapp:PRIMARY> note databases admin 0.000GB local 0.000GB people-list 0.163GB

    Add unique user

    Now I'll remove this user information and my connection string from MongoDB Atlas and commence the process of switching over in my app. I click config and derive the default login for my cluster, but I'll modify it slightly to reflect their database's title and the database user I created for it. You can always test this first by accessing your user from the shell:

    [root@myappdev people-bson]# mongo "mongodb://records-shard-00-00-x8fks.mongodb.net:27017,records-shard-00-01-x8fks.mongodb.net:27017,records-shard-00-02-x8fks.mongodb.net:27017/people-list?replicaSet=records-shard-0" --authenticationDatabase admin --ssl --username peopleuser --password MongoDB shell version v3.4.4 Enter password: connecting to: mongodb://records-shard-00-00-x8fks.mongodb.net:27017,records-shard-00-01-x8fks.mongodb.net:27017,records-shard-00-02-x8fks.mongodb.net:27017/people-list?replicaSet=records-shard-0 2017-05-04T21:59:40.506+0000 I NETWORK [thread1] Starting unique replica set monitor for records-shard-0/records-shard-00-00-x8fks.mongodb.net:27017,records-shard-00-01-x8fks.mongodb.net:27017,records-shard-00-02-x8fks.mongodb.net:27017 MongoDB server version: 3.4.4 records-shard-0:PRIMARY> Cutover and update connection string

    It's time to finalize my migration. I can now click the "Start Cutover" button, which will provide me details on how to complete the import to Atlas. You're provided with instructions to cease your app; in their case, I'll just cease NodeJS.

    Next, I’m going to wait for the optime gap to gain zero in the window; this means my sync is up to date with the last changes to the oplog:

    optime gap reaches zero

    I enter in my unique connection string in my app's configuration file:

    module.exports = { remoteUrl : '', localUrl: 'mongodb://peopleuser:$PASSWORD@records-shard-00-00-x8fks.mongodb.net:27017,records-shard-00-01-x8fks.mongodb.net:27017,records-shard-00-02-x8fks.mongodb.net:27017/people-list?ssl=true&replicaSet=records-shard-0&authSource=admin' };

    Finally, I can click "I'M DONE" in my import window. Once I click I'm done, I restart my NodeJS app. I'm brought to a window confirming the process has been completed!

    App running on MongoDB Atlas

    My app is online and running on MongoDB Atlas; the migration process only required me to cease and update one file and restart my node process. The replacement of my connection string and restarting of the node was done manually. I could accommodate performed the change by updating a git repository and having my DevOps tools such as Chef, Puppet or Ansible achieve the required change and restart.

    Conclusion

    I am now fully in production and ready to grow. By using MongoDB Atlas, I accommodate the plenary benefits of a fully managed database service for my app in production!



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