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IBM C2090-421 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Job Design and Development | 30% | - Parameter sets and environment variables - Data linking and partitioning - Sequential and parallel job creation - Stage usage and configuration |
| Data Transformation and Processing | 25% | - Transformer stage logic - Lookup and reference data - Slowly Changing Dimensions (SCD) - Handling NULL values and data types |
| Job Execution, Monitoring and Troubleshooting | 15% | - Director client usage - Performance optimization - Debugging and validation - Job logs and error handling |
| DataStage Architecture and Components | 20% | - Parallel framework concepts - Project and repository management - InfoSphere Information Server architecture - Client and server components |
| Advanced Features and Integration | 10% | - Job sequences and control flow - Source control integration - Metadata management |
IBM InfoSphere DataStage v8.5 Sample Questions:
What two stages are required to place Header and Detail records, which have different formats, into a single format? (Choose two.)
- A. Column Export Stage
- B. Combine Stage
- C. Column Import Stage
- D. Funnel Stage
Correct Answer: A,D 🗳️
How are Host Systems added to the Shared Metadata repository? (Select two)
- A. Use the shared table creation wizard from the DataStage client to add a new Host System.
- B. Select Repository > Metadata Sharing > Management from the main menu to open the Shared Metadata Management tool
- C. Use the Import/Export Manager when importing shared metadata.
- D. Use the DataStage Administrator application to import new Host Systems.
Correct Answer: B 🗳️
Explanation: Only visible for PassReview members. You can sign-up / login (it's free).
Click the Exhibit button.
These three Sequential Files shown in the exhibit need to be joined. Join_1 is on Columns CustID and OrderID. Join_2 is on CustID and LocationID. What is the most efficient hash partitioning strategy for each link?
- A. For LinkA Hash Partition on CustID;
For LinkB Hash Partition on CustID;
For LinkC Same Partition;
For LinkD Hash Partition on CustID. - B. For LinkA Hash Partition on CustID and OrderID; For LinkB Hash Partition on CustID and OrderID; For LinkC Hash Partition on CustID and LocationID; For LinkD Hash Partition on CustID and LocationID.
- C. For LinkA Hash Partition on OrderID and CustID; For LinkB Hash Partition on OrderID and CustID; For LinkC Hash Partition on LocationID and CustID; For LinkD Hash Partition on LocationID and CustID.
- D. For LinkA Hash Partition on CustID, OrderID and LocationID; For LinkB Hash Partition on CustID, OrderID and LocationID; For LinkC Hash Partition on CustID, OrderID and LocationID; For LinkD Hash Partition on CustID, OrderID and LocationI
Correct Answer: A 🗳️
The result of a performance review for one of your job designs indicated this job needs to be split into two separate jobs. You also have been given the requirement to ensure you maintain parallelism (no re-partitioning) between these two new jobs.
Which single stage should you consider to accomplish maintaining parallelism and not introduce re-partitioning between these related jobs?
- A. Sequential File stage
- B. Copy stage
- C. Data Set stage
- D. Named Pipe stage
Correct Answer: A 🗳️
Explanation: Only visible for PassReview members. You can sign-up / login (it's free).
Refer to the exhibit.
You submit a job from DataStage Director and then log onto your DataStage Linux server to issue the command "ps-ef | grepds" and receive the following screen:
Which process is the section leader for node2?
- A. 7216
- B. 7219
- C. 7220
- D. 7221
Correct Answer: D 🗳️
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