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IBM A2090-303 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Job Execution and Administration | 20% | - Job configuration and execution
|
| Topic 2: Architecture and Components | 20% | - InfoSphere Information Server architecture
|
| Topic 3: Design and Development | 30% | - DataStage Designer interface
|
| Topic 4: Data Integration and Transformation | 30% | - Data connectivity
|
IBM Assessment: IBM InfoSphere DataStage v9.1 Assessment Sample Questions:
1. Which two actions are available when editing a message handler? (Choose two.)
A) Suppress from the project
B) Demote to informational
C) Demote to warning
D) Abort job
E) Suppress from job log
2. When using Runtime Column Propagation, which two stages require a schema file? (Choose two.)
A) Peek stage
B) Pivot stage
C) Sequential File stage
D) DB2 Connector stage
E) Column Import stage
3. Which requirement must be met to read from a database in parallel using the ODBC connector?
A) ODBC connector always reads in parallel.
B) Set the Enable partitioning property to Yes.
C) Configure environment variable $APT_MAX_TRANSPORT_BLOCK_SIZE.
D) Configure environment variable $APT_PARTITION_COUNT.
4. You would like to pass values into parameters that will be used in a variety of downstream activity stages within a job sequence. What are two valid ways to do this? (Choose two.)
A) Place a parameter set stage on the job sequence.
B) Check the "Propagate Parameters" checkbox in the Sequence Job properties.
C) Use the UserVariablesActivity stage to populate the local parameters from an outside source such as a file.
D) Add a Transformer stage variable to the job sequence canvas.
E) Use local parameters.
5. 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) Use Entire partitioning on the input links to the Aggregator and Join stages.
B) Hash partition and sort on ZIP code column prior to the Copy stage, and use same partitioning on the Aggregator and Join stages.
C) Hash partition and sort on ZIP code column on the input links to the Aggregator and Join stages.
D) Hash partition and sort on ZIP code column prior to the Copy stage and use entire partitioning on the Aggregator and Join stages.
Solutions:
| Question # 1 Answer: B,E | Question # 2 Answer: C,E | Question # 3 Answer: B | Question # 4 Answer: C,E | Question # 5 Answer: B |
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