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| Section | Objectives |
|---|---|
| Topic 1: Deployment and Administration | - Resource management and scaling - Deploying applications to clusters |
| Topic 2: Streams Architecture | - Processing elements and data flow model - Cluster and runtime components |
| Topic 3: IBM InfoSphere Streams Overview | - Core concepts of stream processing - Use cases and architecture overview |
| Topic 4: Integration and Security | - Integration with external systems - Security and access control |
| Topic 5: SPL (Stream Processing Language) | - Schemas, tuples, and streams - Operators and composite operators |
| Topic 6: Monitoring and Troubleshooting | - Error handling and diagnostics - Performance monitoring tools |
| Topic 7: Application Development | - Debugging and development tools - Building and testing Streams applications |
1. What are the permitted trigger polices for a sliding window?
A) time, date, and punct
B) count, time, and delta
C) count, time, date, and punct
D) count, time, and date
2. Which data analysis problem is most suitable for a streams processing solution?
A) Identifying best wind turbine locations using past weather data.
B) Combining data from multiple sensors to create situational awareness.
C) Correlating data from multiple database management systems.
D) Transforming historic call center recordings to text files.
3. Which host tags are defined by Streams?
A) execution, build
B) build, run
C) compile, execute
D) compile, run
4. In the Instance Graph, what visual cue will show which Streams have had no tuples flowing on them?
A) Icon on the input port of the operator ingesting the stream.
B) Dashed line for the stream.
C) Missing line for the stream.
D) Icon on the output port of the operator producing the stream.
5. When a tumbling window is full, how will it behave?
A) It will execute the operator behavior and expel the oldest tuples before processing the next tuple.
B) It will expel triggered tuples, execute the operator behavior, and flush unprocessed tuples before starting from the end.
C) It will expel the oldest tuples, execute the operator behavior, and flush all processed tuples before starting from scratch.
D) It will execute the operator behavior and flush all stored tuples before starting over from scratch.
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: B | Question # 3 Answer: A | Question # 4 Answer: B | Question # 5 Answer: D |
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