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Last Updated: Aug 12, 2026
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Integration - DataStage | 30% | - Parallel engine and job design - Partitioning and pipeline parallelism - FastTrack and DataStage integration - Job development, testing and deployment |
| Topic 2: Architecture and Components | 25% | - Client/server components and deployment models - Metadata Repository and shared services - InfoSphere Information Server architecture overview |
| Topic 3: Data Quality and Governance | 25% | - Metadata Workbench and data lineage - Business Glossary and governance - InfoSphere QualityStage - InfoSphere Information Analyzer |
| Topic 4: Administration and Solution Design | 20% | - Security and access control - Solution architecture best practices - Performance tuning and troubleshooting - Installation and configuration |
1. From a Microsoft Word document, a user, who has not been granted with the role of Business Glossary user, would like to know if the Business Glossary contains a term that matches the term he highlighted. What configuration steps are needed to enable this user to see business term definition in Business Glossary from the Microsoft document?
-Install Business Glossary Anywhere (BGA) on the server -Install Business Glossary Anywhere (BGA) on the client machine -In the setup options of BGA, specify the name and password of any registered user with
Business Glossary user role -In the setup options of BGA, specify the operating system name and password of the user working with the Microsoft document
A) I and III
B) I and IV
C) I
D) II and IV
E) II and III
2. What are the advantages of DataStage parallel jobs?
A) Multi-pass processing and scalable processing
B) Scalable processing and restartable processing
C) Parallel processing and multi-pass processing
D) Parallel processing and scalable processing
3. Which functionality is supported by InfoSphere Discovery?
-Discover primary / foreign key relationships between tables -Discover statistics about usage of data by users -Discover matching source and target data -Discover transformations that, when applied to source columns, will accurately transform the
data to match the data in target columns
A) I, II, IV
B) I, III, IV
C) I, II, III, IV
D) I, II, III
4. What are DataStage shared containers used for?
A) Import Metadata
B) Export Job Logs
C) Improve Job Performance
D) Encapsulate job components for reuse
5. What is the binding process used for in Information Analyzer rules management?
A) The binding process is used to link a rule to a data source.
B) The binding process results in converting Information Analyzer rules into DataStage jobs.
C) The binding process is used link multiple data rule definitions together.
D) The binding process is used to associate placeholders in the data rule definition with a specific data element, such as a column in a table.
Solutions:
| Question # 1 Answer: E | Question # 2 Answer: D | Question # 3 Answer: B | Question # 4 Answer: D | Question # 5 Answer: D |
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