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IBM C2090-303 valid - in .pdf
- Exam Code: C2090-303
- Exam Name: IBM InfoSphere DataStage v9.1
- Q & A: 134 Questions and Answers
- PDF Price: $59.99
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- Exam Code: C2090-303
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IBM C2090-303 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Administration and Troubleshooting | - Error handling
|
| Topic 2: Job Design and Development | - Transformations
|
| Topic 3: Performance Tuning and Optimization | - System performance
|
| Topic 4: DataStage Architecture and Concepts | - Core architecture
|
| Topic 5: Data Integration and Connectivity | - Data sources and targets
|
IBM InfoSphere DataStage v9.1 Sample Questions:
Question #1
In your ETL application design you have found several areas of common processing requirements in the mapping specifications. These common logic areas found include: code validation lookups and name formatting. The common logic areas have the same logic, but the jobs using them would have different column metadata. Choose the action that gives you the best reusability design to effectively implement these common logic areas in your ETL application?
- A. Create parallel routines for each of the common logic areas and for each of the unique column metadata formats.
- B. Create parallel shared containers with Runtime Column Propagation (RCP) ON and define only necessary common columns needed for the logic.
- C. Create separate jobs for each layout and choose the appropriate job to run within a job sequencer.
- D. Create parallel shared containers and define columns combining all data formats.
Correct Answer: B 🗳️
Question #2
You are asked by your customer to collect partition level runtime metadata for DataStage parallel jobs. You must collect this data after each job completes. What two options allow you to automatically save row counts and CPU time for each instance of an operator? (Choose two.)
- A. Click the Performance Analysis icon in the toolbar to open the Performance Analyzer utility.
- B. Enable the job property "Record job performance data".
- C. $APT_CPU_ROWCOUNT
- D. Open up the job in Metadata Workbench and select the "Data Lineage" option.
- E. $APT_PERFORMANCE_DATA
Correct Answer: B,E 🗳️
Question #3
When using Runtime Column Propagation, which two stages require a schema file? (Choose two.)
- A. DB2 Connector stage
- B. Peek stage
- C. Column Import stage
- D. Pivot stage
- E. Sequential File stage
Correct Answer: C,E 🗳️
Question #4
You are asked to optimize the fork join job design in the exhibit. This job uses the sort aggregator and a left outer join on the ZIP code column. Currently all partitioning is set to "Auto" and automatic sort insertion is allowed.
Which change will reduce the cost of partitioning that occurs in this job?
- A. Hash partition and sort on ZIP code column on the input links to the Aggregator and Join stages.
- B. Use Entire partitioning on the input links to the Aggregator and Join stages.
- C. Hash partition and sort on ZIP code column prior to the Copy stage and use entire partitioning on the Aggregator and Join stages.
- D. Hash partition and sort on ZIP code column prior to the Copy stage, and use same partitioning on the Aggregator and Join stages.
Correct Answer: D 🗳️
Question #5
Which statement is correct about the Data Rules stage?
- A. The Data Rules stage works with rule definitions only; not executable rules.
- B. If you have Rule Creator role in InfoSphere Information Analyzer, you can create and publish rule definitions and rule set definitions directly from the stage itself.
- C. As a best practice, you should create and publish new rules from the Data Rules stage.
- D. When a job that uses the Data Rules stage runs, the output of the stage is passed to the downstream stages and results are stored in the Analysis Results database (IADB).
Correct Answer: A 🗳️
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