Last Updated: Jul 18, 2026
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: DataStage Architecture and Components | 20% | - Parallel framework concepts - Project and repository management - Client and server components - InfoSphere Information Server architecture |
| Topic 2: Job Design and Development | 30% | - Sequential and parallel job creation - Parameter sets and environment variables - Data linking and partitioning - Stage usage and configuration |
| Topic 3: Job Execution, Monitoring and Troubleshooting | 15% | - Performance optimization - Debugging and validation - Job logs and error handling - Director client usage |
| Topic 4: Data Transformation and Processing | 25% | - Transformer stage logic - Slowly Changing Dimensions (SCD) - Handling NULL values and data types - Lookup and reference data |
| Topic 5: Advanced Features and Integration | 10% | - Source control integration - Job sequences and control flow - Metadata management |
1. You are asked to convert a relational source, as shown in the exhibit, into three separate XML files. How would you accomplish this task?
A) Set "Output mode" setting" Split rows" under "Transformation Settings" of the Output link of an XML Output stage.
B) Set "Output mode" setting "Break" on column "Customer ID" under "Transformation Settings" of the Output link of an XML Output stage.
C) Set "Output mode" setting "Single row" under "Transformation Settings" of the Output link of an XML Output stage.
D) Set "Output mode" setting "Segregate" on column "Customer ID" under "Transformation Settings" of the Output link of an XML Output stage.
2. In a Transformer expression for a stage variable, there is a nullable input column. What happens when a row is processed that contains NULL in that input column?
A) The row is rejected.
B) NULL is written to the stage variable.
C) The value written to the stage variable is undetermined.
D) The job aborts.
3. You have a 3TB dataset hash-partitioned on CustID in a clustered environment. You need to join this dataset with 1GB of reference data on OrderID. Which technique is most appropriate?
A) Use Join stage, hash-partition and sort both link on OrderID.
B) Use Lookup stage, select auto partitioning for the stream link and entire partitioning for the reference link.
C) Use Lookup stage, select auto partitioning for both link.
D) Use Lookup stage, select auto partitioning for the stream link and hash-partition the reference link on CustI
4. What are two ways to specify a stylesheet in an XML input stage? (Choose two.)
A) On the output link columns properties tab, type the stylesheet in the XLST box.
B) On the output link advanced properties tab, load the content or path of a stylesheet that is stored on the engine tier host.
C) On the output link advanced properties tab, type the stylesheet in the Stylesheet box.
D) On the output link columns properties tab, identify an input column that contains the stylesheet URL.
5. What two data sources support direct lookups? (Select two)
A) SqIServer
B) Oracle
C) ODBC
D) DB2
E) Teradata
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: B | Question # 3 Answer: B | Question # 4 Answer: B,C | Question # 5 Answer: B,D |
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