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IBM P2090-008 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Streams Architecture | - Cluster and runtime components - Processing elements and data flow model |
| Application Development | - Building and testing Streams applications - Debugging and development tools |
| Deployment and Administration | - Resource management and scaling - Deploying applications to clusters |
| SPL (Stream Processing Language) | - Schemas, tuples, and streams - Operators and composite operators |
| IBM InfoSphere Streams Overview | - Core concepts of stream processing - Use cases and architecture overview |
| Monitoring and Troubleshooting | - Performance monitoring tools - Error handling and diagnostics |
| Integration and Security | - Integration with external systems - Security and access control |
IBM InfoSphere Streams Technical Mastery Test v1 Sample Questions:
1. Starting and stopping Streams runtime services produces what kind of log files?
A) Runtime boot logs
B) Runtime service logs
C) PE logs
D) Runtime trace rolling logs
2. Which statements are supported inside SPL operator logic?
A) if-else, for(x in y), while
B) if-else, for(x=0;x<10;x++), do-until
C) if-else, foreach, while
D) if-else, foreach, do-while
3. Which of the following best describes SPL state variables defined in a logic clause?
A) State variables need to be freed before a streams application is terminated.
B) State variables can be shared between different operators.
C) State variables are always immutable.
D) State variables have the same lifetime as the operator they are defined in.
4. Which statement is CORRECT?
A) The InfoSphere Streams runtime environment does not have to be installed to run a distributed SPL program.
B) Standalone programs can talk to other standalone programs by exporting and importing streams.
C) The InfoSphere Streams runtime environment does not have to be installed to run a standalone SPL program.
D) A standalone program can be visualized by the Live Graph function of the Streams-Studio IDE.
5. The Join operator CANNOT perform which operation?
A) Combining attributes from tuples on different streams.
B) Routing tuples according to the values in an attribute.
C) Filtering out tuples that don't meet specific criteria.
D) Grouping tuples according to the values in an attribute.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A | Question # 3 Answer: D | Question # 4 Answer: C | Question # 5 Answer: B |
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