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IBM C2090-312 : IBM DB2 11 DBA for z/OS Exam

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Test Number : C2090-312
Test Name : IBM DB2 11 DBA for z/OS
Vendor Name : IBM
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C2090-312 test Format | C2090-312 Course Contents | C2090-312 Course Outline | C2090-312 test Syllabus | C2090-312 test Objectives

Exam Title : IBM Certified Database Administrator - DB2 11 DBA for z/OS
Exam ID : C2090-312
Exam Duration : 90 mins
Questions in test : 67
Passing Score : 59%
Official Training : DB2 11 for zOS Implementation Workshop
Exam Center : Pearson VUE
Real Questions : IBM DB2 DBA for z/OS Real Questions
VCE Practice Test : IBM C2090-312 Certification VCE Practice Test

Database Design and Implementation
- Design tables and views (columns, data type considerations for large objects, XML, column sequences, user-defined data types, temp tables, clone tables, temporal tables, MQTs, new archive transparency, etc.)
- Explain the different performance implications of identity column, row ID, and sequence column definitions (applications, utilities), hash access
- Design indexes (key structures, type of index, index page structure, index column order, index space, clustering, compression, index on expression, include column)
- Design table spaces (choose a DB2 page size, clustering) and determine space attributes
- Perform partitioning (table partitioning, index partitioning, DPSI, universal table space)
- Normalize data (E-R model, process model) and translate data model into physical model (denormalize tables)
- Implement user-defined integrity rules (referential integrity, user-defined functions & data types, check constraints, triggers)
- Use the appropriate method to alter DB2 objects (table, column, drop column, alter limit key, index, table space, database, online schema)
- Understand impacts of different encoding schemes 24%
Operation and Recovery
- Knowledge of commands for normal operational conditions (START, STOP, DISPLAY)
- Knowledge of commands and utility control statements for use in abnormal conditions (RECOVER, RESTART)
- Load and unload data into and from the created tables
- Reorganize objects when necessary (reorg avoidance, automatic mapping table, new reorg features)
- Monitor the object by collecting statistics (run stats, improved in-line statistics, real time stats, autonomic stats, and statistics related stored procedures)
- Monitor and manage threads and utilities (distributed, local, MODIFY DDF)
- Identify and respond to advisory/restrictive statuses on objects
- Identify and perform problem determination (traces and other utilities, plans and packages)
- Perform health checks (check utilities, offline utilities, catalog queries)
- Identify and perform actions that are needed to protect databases from planned and unplanned outages (tables spaces; indexes; full pack; hardware; Flash copies; full, incremental, reference update; copy-to-copy, non-data objects; catalog) and recovery scenarios (off-site recovery, data sharing, table spaces, indexes, roll forward, roll back, current point in time, prior point in time, system point in time copy and restore, catalog and directory, offline utilities (DSN1), new Extended RBA and LRSN) 22%
Security and Auditing
- Understanding privileges and authorities
- Protect access to DB2 and its objects
- Audit DB2 activity and resources and identify primary audit techniques
- Identify and respond appropriately to symptoms from trace output or error messages that signify security problems 6%
- Plan for performance monitoring by setting up and running monitoring procedures (continuous, detailed, periodic, exception)
- Analyze performance (manage and tune CPU requirements, memory, I/O, locks, response time, index and table compression)
- Analyze and respond to RUNSTATS statistics analysis (real-time, batch, catalog queries, reports, histograms)
- Determine when and how to perform REBIND (APCOMPARE and APREUSE)
- Describe DB2 interaction with WLM (distributed, stored procedures, user-defined functions, RRS)
- Interpret traces (statistics, accounting, performance) & explain the performance impact of different DB2 traces
- Identify and respond to critical performance metrics (excessive I/O wait times, lock-latch waits and CPU waits; deadlocks, timeouts, RID failures)
- Review and tune SQL (access paths, EXPLAIN tables, awareness of query transformation and predicate processing, use of Virtual Indexes)
- Dynamic SQL Performance (DSN_STATEMENT_CACHE_TABLE, parameter markers, literal replacement, REOPT)
- Design features for performance (hash row access, inline LOBs)
- Knowledge of controlling access paths (SYSSTATSFEEDBACK table, SYSQUERY) 22%
Installation and Migration / Upgrade
- Knowledge and understanding of the critical ZPARMs (database-, object- and application-oriented, application compatibility - no DDF)
- Identify and explain Datasharing components and commands
- Knowledge of pre-migration checklists
- Knowledge of catalog and directory (new tables, change tables, new objects) 7%
Additional Database Functionality
- Knowledge of SQL constructs (temporal, archive, table functions, built-in scalar functions, recursive, common table expresssions)
- Knowledge of SQL/PL (Array data type, new array data type functions, functions and procedures)
- Knowledge of SQL/XML (results database, XML functions, cross loader with XML, xpath expressions, FLWOR, pattern matching and regular expressions)
- Knowledge of Stored Procedures (native, external, autonomous, ziip considerations)
- Knowledge of User-defined functions (scalar functions, table functions, SQL/external functions)
- Knowledge of global variables (in stored procedures, in SQL/PL, distributed considerations) 10%
Distributed Access
- Implementing distributed data access (communications database)
- Knowledge of ZPARMs (for DDF)
- Knowledge of DDF setup (DB2 Connect, Client, Drivers, profile tables, RLMT)
- Understanding and implementing distributed data access (perf settings for DDF access) 7%

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Cloud-primarily based Database Market - latest impact to Make massive changes | Oracle, Microsoft, IBM, AWS | C2090-312 test Questions and test dumps

The world Cloud-primarily based Database Market has witnessed continuous increase during the past few years and is projected to grow even extra all through the forecast period (2019-2027). The assessment provides a 360° view and insights, outlining the important thing consequences of the industry. These insights help the business decision-makers to formulate more advantageous business plans and make suggested selections for greater profitability. furthermore, the analyze helps mission or inner most players in realizing the businesses more precisely to make greater advised choices.predominant players are:Oracle company (u.s.), Amazon net functions (u.s.), Microsoft Azure (united states), IBM (u.s.), Google LLC (united states), Rackspace Inc. (u.s.), Apache Cassandra (u.s.), Couchbase, Inc (united states), Salesforce (united states), MongoDB Inc. (u.s.), Teradata supplier (united states)

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The global Cloud-based Database Market segments and Market statistics destroy Down are illuminated under:study by way of category (Relational Database (SQL Database), Nonrelational Database (NoSQL Database)), software (Small and Medium enterprise, giant agencies), Platform (inner most, Public, Hybrid), component (gadget, utility), Deployment model (average Cloud mannequin, Database as a service model (DBaaS))

Market traits:expanding Use of Public Cloud-based mostly DatabaseRising Consumption of Cloud-primarily based Database in tremendous Scale enterprise

Market Drivers:turning out to be Digitalisation across the GlobeNeed for Managing and Saving a big volume of Organisational facts

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Extract from desk of content:Chapter 01 – executive Summary1.1 image of the key findings and key information.1.2 Market cost (US$ million).Chapter 02 – Market OverviewChapter 03 – Key Success Factors3.1 strategies adopted by means of key market individuals and factors which have turned into success.three.2 extra perspective on global regular pricing analysis benchmark, and client’s sentiments’ analysis.Chapter 04 – Covid-19 disaster analysis on world Cloud-primarily based Database MarketChapter 05 – world Cloud-primarily based Database Market - Pricing AnalysisChapter 06 – global Cloud-primarily based Database Market Background6.1 Macroeconomic elements affecting the global Cloud-based mostly Database market6.2 discover deliver chain and value chain analysis.6.3 In-depth assistance concerning the market dynamics and their consequences.Chapter 07 -- global Cloud-based mostly Database Market SegmentationChapter 08 – Key and emerging international locations analysis in international Cloud-based mostly Database MarketChapter 09 – global Cloud-based Database Market constitution AnalysisChapter 10 – world Cloud-based Database Market aggressive Analysis10.1 Market awareness Rate10.2 competitors scenario: BCG Matrix [Relative Market Share v/s Revenue Growth Rate]10.three heat Map Analysis10.4 Comparative Market Share analysis by means of players (2018-2019) Rank, [% Market Share, Market Revenue]Chapter 11 – Assumptions and AcronymsChapter 12 – research Methodology

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Questions Answered by way of the record: what's going to the market measurement be in 2020-2027 and what will the increase price be? who're the leading key gamers and what are their Key enterprise plans within the global Cloud-based Database market? what is the key global Cloud-primarily based Database market trends, driver, opportunities, restraints, challenges? What are the strengths and weaknesses of the important thing vendors? What are the key consequences of the five forces analysis of the world Cloud-based Database Market?

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