IBM C9560-654 : IBM Tivoli Application Dependency Discovery Manager V7.2.1.3 Implementation Exam

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Test Number : C9560-654
Test Name : IBM Tivoli Application Dependency Discovery Manager V7.2.1.3 Implementation
Vendor Name : IBM
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C9560-654 exam Format | C9560-654 Course Contents | C9560-654 Course Outline | C9560-654 exam Syllabus | C9560-654 exam Objectives


Exam Title : IBM Certified Deployment Professional - Tivoli Application Dependency Discovery Manager V7.2.1.3
Exam ID : C9560-654
Exam Duration : 90 mins
Questions in exam : 68
Passing Score : 66%
Official Training : Tivoli Application Dependency Discovery Manager
Exam Center : Pearson VUE
Real Questions : IBM Tivoli Application Dependency Discovery Manager Implementation Real Questions
VCE Practice Test : IBM C9560-654 Certification VCE Practice Test

Planning
- Given a list of initial business applications to be discovered, the list of servers the application runs on, and the approved project plan, determine the order, plan and methodology for discovery so that discovery scopes have been defined for discovering the servers and its components that the initial business applications run on.
- Given a customer's environment, design the architecture so that the initial architecture plan for the solution has been created.
- Given a customer's environment, determine the best estimate of the number of TADDM components required so that the initial architecture plan for the deployment has been created.
- Given the customer's network configuration / diagrams and TADDM solution architecture, define firewall requirements so that list of ports to be opened on firewalls is delivered.
- Given the list of technologies to be discovered and list of sensors that require credentials to run correctly, gather proper information from TADDM documentation, communicate to customer, implement and refine so that requirements for credentials are communicated and implemented in the environment
- Given SME(s) and/or documentation, determine and document the customer's existing environments that will be discovered and managed with TADDM so that an implementation plan is developed.
- Given server with operating System installed for TADDM Installation, verify OS configuration and required S/W or Libraries are installed on that server so that the server is available for TADDM installation.
- Given a list of computer systems/components/applications that will be discovered, create a list of TADDM sensors that will be run so that a list of sensors and any required credentials has been created.
- Given that TADDM defines the different levels of discovery, analyze data needs and explain to customers the different levels and the options that are available so that the customer understands the 3 levels of discovery available within TADDM.
- Given the customer's data source requirements, analyze the requirements to determine if Discovery Library Adapters (DLA) are necessary and a means to import and export data to/from TADDM so that the customer's environment has been evaluated for DLA requirements.

Installation
- Given a system ready for database creation, prepare the database for IBM Tivoli Application Dependency Discovery Manager (TADDM) using different operating system so that database preparation is completed.
- Given the TADDM architecture document and installation binaries, install TADDM and set up the environment so that TADDM is installed, initially configured, and up and running.
- Given a running TADDM environment, database backed up and binaries backed up, Install TADDM fix pack so that TADDM fix pack installation is completed successfully.
- Given an installed TADDM host, validate and complete the post installation configuration so that TADDM server will be ready for configuring the discovery.
- Given the proper access administrator authority for a designated anchor server, configure anchor servers so that a service account has been created that will be used by the anchor server for discovery behind the firewall.

Configuration
- Given target systems prepared for Anchor installation, list of anchors to be deployed with SSH servers installed, configure Anchors so that Anchor objects are created in IBM Tivoli Application Dependency Discovery Manager (TADDM) GUI and tested to be running.
- Given a running TADDM environment and a list of Windows Gateways to be configured, perform SSH server installation and configuration on target systems, create Windows Gateway objects in TADDM GUI so that Windows Gateways are configured properly and ready to be used during discovery.
- Given customer's need for the 3 levels of discover and a running TADDM system, create different levels of discovery profiles and enable the options that are available so that Configuration Items can be discovered.
- Given the list of extended attributes to be discovered by TADDM for chosen operating system, create and configure extended attributes by creating them, configuring templates and running a discovery so that extended attribute successfully populated with desired value.
- Given Target server(s), a working TADDM server and access to the Discovery Management Console, using either the UI or command line add a Scope Set with the machine(s) configured so that the machine(s) can be discovered.
- Given a list of servers / images and components/applications to be discovered, define the user privileges required for TADDM scans so that users with proper credentials are deployed to targets to be discovered and TADDM Access Lists are configured properly.
- Given the user name and password for access to machines, a working TADDM server, and access to the Discovery Management Console, navigate to the Discovery Management Console and add an access credential so that Configuration Items can be discovered.
- Given the need to debug Sensors more efficiently and effectively, set the SplitSensor option so that a clear view of each sensor is available.
- Given a custom design file, configure the customBusiness Intelligence and Reporting Tool ( BIRT) report so that custom BIRT report is generated for the collected data.
- Given a running TADDM environment and a database connection, generate a report so that a report is generated.
- Given the list of Windows systems that will be discovered with a non-admin account and the account name to be created, configure the windows target for non-admin discovery so that Windows system is discovered Level2 using non-admin account.
- Given the discovery schedule, configure TADDM scheduling so that discovery starts at a given time.
- Given an installed TADDM server, create the snapshots to take a point-in-time copy of basic information about computer systems, discovery events and server applications running on computer systems so that the snapshots are available to take a point-in-time copy of basic information
- Given a list of locations to be configured in TADDM, make necessary decisions and modifications in collation.properties and anchor properties files so that discovered components have location tag attribute set properly.
- Given the information required to create a custom server template, a running TADDM, server and access to the Discovery Management Console, define custom server templates and build custom server templates from the UI so that the custom applications have been discovered properly.
- Given that TADDM and IBM Tivoli Monitoring (ITM) are installed, prepare ITM and TADDM environment so that discovery can be performed by using ITM agent.
- Given a business application and the list of servers/components/applications that compose the business application, create the appropriate application descriptor files and deploy them to the appropriate directories on the servers where discovery will be done so that discoveries have been run and it has been Tested that the business application has been built correctly.
- Given a list of users to be created and Admin access to Data Management Portal, create users so that TADDM user IDs have been configured for use.

Administration
- Given the need to categorize application components into business applications and services, create business application and services using the Data Management Portal that combines large collections of individual components into logical groups.
- Given a properly installed and operating IBM Tivoli Application Dependency Discovery Manager (TADDM) system and access credentials, execute API query so that XML data is extracted and available via STDOUT (Standard Output).
- Given the timespan for keeping the historical changes of attributes values, perform a cleanup of the database by running proper SQLs so that TADDM database is cleaned up from old change history data
- Given TADDM is up and running, max size of the file system to be used for logs, configure collation.properties settings for logs maintenance and optionally implement removing sensor logs mechanism so that log files are maintained automatically.
- Given a customer's need for TADDM, prepare, install, and execute TADDM so that the customer's environment is fully discovered and validated.
- Given a list of servers/images and components/applications to be discovered, manage and obtain credentials so that credentials are created on the requested servers/images/components/applications.
- Given an existing scope and discovery profile to use, run a TADDM discovery using the Discovery Management Console and the API so that a discovery has been run by using the API and Discovery Management Console.
- Given a valid IDML file for loading, a running TADDM server and access to the server running TADDM, use the loadidml script to populate the TADDM database so that the information contained in the IDML file is loaded into the TADDM database.
- Given a TADDM Server, Discovery Management Console and User ID and password, review the types of status messages that occur during discovery and viewing history so that the status messages are understood.
- Given an installed TADDM server, access to the server running TADDM and the new database user password, update the collation.properties file and encrypt the database access passwords so that the collation.properties file is updated with the new encrypted passwords.
- Given an installed TADDM server and terminal access to the server running TADDM, start and stop the TADDM server processes so that the TADDM server has been stopped or started.
- Given the TADDM server is running, run the analytics from the Data Management Portal so that the necessary information is available to be analyzed.
- Given a working TADDM server, and access to the Data Management Portal, navigate to the Data Management Portal and create Configuration Items, and dependencies so that a new Configuration Item (CI) or dependency is created.
- Given that the present roles do not suffice for an access requirement to TADDM, create a new role with unique permissions to fulfill the request so that a new TADDM role is configured for use.
- Given supported hardware, operating system and running database, command-line access to the TADDM server, the password for the root, create backups and perform restores so that a backup and restore are available when needed.

Problem Determination
- Given a running IBM Tivoli Application Dependency Discovery Manager (TADDM) environment and database connectivity, tune the Discovery parameter so that the discovery parameters are tuned appropriately.
- Given list of Java Virtual Machines to set extended logging for, edit collation.properties file and set proper values for logging level so that logging level is set to desired value and logs contain desired information for problem diagnosis
- Given that a problem has occurred within the TADDM environment and error levels need to be modified to ensure the correct messaging is captured for remediation enable/disable advanced logging for TADDM so that the environment is set for debug mode so that when problem occurring the correct messaging is captured and resolved.
- Given the need to diagnose a problem within the TADDM environment, utilize the support bin tools so that problem can be debugged.
- Given TADDM is installed and user IDs are created and problems occur with Discover, Topology, Discovery Admin, Proxy or Gigaspace processes, review the jvmarg settings in the collation.properites file and determine if more memory is required so that performance is enhanced and/or service is not interrupted.
- Given the need to define common parameters in the collation.properties files, review the most common parameters that are located in the collation.properties file so that the common parameters have been defined.
- Given a TADDM server, Identify points of failure regarding NMAP on L1 discoveries so that points of failure regarding NMAP on L1 discoveries are identified and corrected.
- Given an application sensor failure, conduct an L3 Scan and troubleshoot application sensor failures so that the problems are resolved for a successful L3 collection.



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Transitioning from RDBMS to NoSQL. Interview with Couchbase’s Dipti Borkar | C9560-654 Practice Test and Study Guide

whereas relational databases have been used for decades to save information, and that they nonetheless symbolize a plausible solution for many use cases, NoSQL is being chosen nowadays in particular for scalability and efficiency reasons. this article contains an interview with Dipti Borkar, Director of  Product management at Couchbase, on the challenges, advantages and the method of migrating from RDBMS to NoSQL.

InfoQ: When is it the time to dump SQL for a NoSQL answer?

Dipti Borkar: ok, that title sounds a little harsh – and in fact, in most cases, or not it's not a remember of dumping SQL for a NoSQL answer, but rather, it’s about making a transition from one to the other, the place application and use case dictate the want for a change. In general, this transition may be spurred with the aid of the want for flexibility – each in the scaling model and the records model - when constructing modern internet and cellular applications.

average internet functions are built with a three-tier structure. To scale out the utility, extra commodity web servers are without difficulty delivered at the back of a load balancer to aid extra users. The ability to scale out is a core tenet of the increasingly crucial cloud-computing mannequin, during which virtual machine instances can also be easily introduced or eliminated to healthy demand.

besides the fact that children, when it comes to the facts layer, relational database (RDBMS) know-how does not scale out and does not provide a versatile information model, proposing a number of challenges. managing more clients capability including an even bigger server, and large servers are extremely complicated, proprietary, and disproportionately expensive, not like the cost-effective, commodity hardware in internet- and cloud-based mostly architectures. So, as companies delivery seeing performance issues with their relational database for existing or new functions, principally because the number of users grows, they understand the want for a sooner, elastic database tier. here's the time to beginning evaluating NoSQL and adopting it as the database tier of their interactive web functions.

InfoQ: What may be the main steps required to transition from SQL to NoSQL?

Dipti Borkar: businesses/initiatives can range significantly in terms of what they are seeking in a NoSQL database; so a good deal of the transition will depend upon your use-case. under are customary guidelines for transitioning:

#1 take note the important thing necessities on your application:

one of the requirements that suit the need for NoSQL are

  • speedy application development– changing market wants– changing facts wants
  • Scalability– Unknown user demand– want for invariably transforming into throughput to entry, add and replace records
  • constant performance– Low response time for better person journey– high throughput to address viral increase
  • Operational reliability– high-availability to deal with disasters gracefully with minimal affect to the application– developed-in monitoring APIs for easy ongoing protection
  • #2 keep in mind the quite a few kinds of NoSQL choices:

    there's a typical delusion that all NoSQL databases are created equally - here is not true. Cassandra, for example may well be an answer you employ for analytical use circumstances given its columnar records model. Neo4j, a graph database, as an instance, may well be the database you utilize for purposes that need access to relationships between entities.

    i may center of attention specifically on distributed doc-oriented NoSQL database know-how – with Couchbase and MongoDB being the two most visible and generally adopted examples.

    #three Execute a proof of thought

    after you have narrowed down on potential selections for the database tier, plan a proof of thought integrating the key qualities of your software. search for response time and throughput efficiency and the ability to scale out effectively.

    #four doc modeling and development

    For document databases, spend sometime on modeling your records from fixed tabular schemas to bendy doc objects.

    #5 Deploying to staging and production

    Operational steadiness is a really important point for interactive internet applications. test and stage your application rollout as you would for functions that use traditional RDBMS systems. be certain your chosen database helps monitoring throughout the cluster, easy on-line scaling for adding ability if needed and other database administrative tools.

    #6 reside up to date on most up-to-date developments

    there is a plethora of great, free practising courses right through the us that offer hands-on NoSQL practicing classes. The premiere way to ensure a a success NoSQL implementation is to have an educated developer group it's up so far on the existing server releases and dealer choices. 

    beneath are hyperlinks to one of the crucial biggest ones:

    -CouchConf

    -NoSQL Now

    InfoQ: What are the leading difficulties migrating from SQL to NoSQL?

    Dipti Borkar: The main problem actually boils down to knowing the changes between the ordinary RDBMS techniques and document databases. probably the most vital change is the records mannequin:

    clip_image002

    As shown above, each list in a relational database conforms to a schema – with a hard and fast variety of fields (columns) each and every having a specific intention and statistics class. each record is an identical. information is denormalized across distinct tables. The upside is that there's much less duplicated data within the database. The draw back is that a metamorphosis within the schema skill performing a number of high priced “alter desk” statements that requires locking down many tables concurrently to be certain a metamorphosis doesn’t leave the database in an inconsistent state.

    With doc databases however, each and every doc can have a completely distinct structure from different documents. No extra management is required on the database to handle adjustments to doc schemas.

    InfoQ: What are the benefits of NoSQL document databases?

    Dipti Borkar: The main advantages of doc databases are:

  • flexible data modelData may also be inserted with out a defined schema, and the structure of the facts being inserted can trade at any time—offering extreme flexibility in the utility, which sooner or later delivers substantial business agility.
  • convenient scalabilitySome NoSQL databases instantly spreads statistics throughout servers, requiring no participation from the purposes. Servers will also be brought and removed from the facts layer with out application downtime, with information and i/O unfold throughout servers.
  • constant, excessive performanceAdvanced NoSQL database technologies transparently cache statistics in gadget reminiscence—a habits this is completely clear to the developer and the operations crew.
  • InfoQ: How do builders react if you happen to tell them about adopting NoSQL?

    Dipti Borkar: developers are extremely enthusiastic about NoSQL applied sciences exceptionally as a result of the benefit of building some databases deliver. document databases have extraordinarily bendy schemas and are easy to work with.

    developers can iterate over utility alterations sooner without the need to exchange the schema of the underlying database. this is specifically helpful when builders are constructing applications with sparse statistics or information that’s constantly altering or facts from third-party providers they shouldn't have handle over.

    InfoQ: Is it good enough to work with existing developers and have them be taught new knowledge or if you happen to appear for new ones that master NoSQL?

    Dipti Borkar: software builders will locate it handy to undertake some NoSQL applied sciences, specially people who guide JSON as the doc structure. more and more builders are using JSON to model objects in their purposes. for this reason storing the records without delay as JSON within the database reduces the impedance mismatch throughout the stack.

    builders who heavily use SQL may wish to adapt and find out about doc modeling approaches. Rethinking how facts can also be structured in a logical means using files as opposed to normalizing the information into a hard and fast database schema becomes a vital point.

    InfoQ: have you ever had or heard of unsuccessful attempts to swap to NoSQL? If sure, what went incorrect?

    Dipti Borkar: Architects and developers should still be sure that their key necessities are convinced by the solution or database selected. for example, deciding on a database that’s extra desirable towards analytical purposes might also no longer fulfill your latency and throughput wants for interactive functions. initiatives that make a quick option with out investigating all requirements might also find that they have got slower response instances for records entry resulting in a terrible user adventure. users need to plan up front for scalability. here’s a more drastic instance of things going south. In some situations an app has long past viral but the database that turned into selected couldn’t keep up and scale out.

    on the equal time, using a database that is greater acceptable against an OLTP-like use case may additionally not operate smartly for superior evaluation jobs or advanced processing. a large data solution could be greater suitable.

    InfoQ: What are the important thing lessons migrating to NoSQL?

    Dipti Borkar: There are a lot of advantages developers will see when moving to NoSQL. A extra bendy facts model and freedom from rigid schemas is a huge one. You may additionally additionally see tremendously better efficiency and the capacity to horizontally scale out the records layer.

    but most NoSQL items are in early degrees of the product cycle. whereas functionality like complicated joins or multi-document transactions can be simulated within the app, developers may be better off the usage of a standard RDBMS. And for some initiatives, a hybrid approach could be the best option.

    clip_image004

    concerning the Interviewee

    borkar-headshot

    Dipti Borkar is the Director of  Product management at Couchbase where she is answerable for the product roadmap of Couchbase Server, a NoSQL database and works with valued clientele and clients to bear in mind emerging requirements for low-latency, scalable information retailers. Dipti has deep technical event in the database business having labored at IBM as a utility engineer and building supervisor for the DB2 server crew after which at MarkLogic as a Senior Product manager.  Dipti holds a Masters diploma in laptop Science from the institution of California, San Diego with a specialization in databases and holds an MBA from the Haas faculty of company at university of California, Berkeley.


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    References :


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    https://www.clipsharelive.com/video/4098/c9560-654-ibm-tivoli-application-dependency-discovery-manager-v7-2-1-3-implementation-questions-and-answers-by-killexa



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