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IBM InfoSphere Streams Technical Mastery Test v1 Sample Questions:

1. 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) Transforming historic call center recordings to text files.
D) Correlating data from multiple database management systems.

2. When a tumbling window is full, how will it behave?

A) It will expel the oldest tuples, execute the operator behavior, and flush all processed tuples before starting from scratch.
B) It will expel triggered tuples, execute the operator behavior, and flush unprocessed tuples before starting from the end.
C) It will execute the operator behavior and expel the oldest tuples before processing the next tuple.
D) It will execute the operator behavior and flush all stored tuples before starting over from scratch.

3. Which data analysis problem is most suitable for a streams processing solution?

A) Prediction of bus arrival time using current location information.
B) Prediction of manufacturing yield using images in a content management system.
C) Prediction of best harvest yield using historic harvest data.
D) Prediction of next quarter earnings using past sales data from a data warehouse.

4. In SPL, which logLevel directive will give you the most verbose application-level logging?

A) Debug
B) Info
C) Trace
D) Error

5. Which statement is TRUE?

A) A stream can contain many tuples of one type.
B) A stream can contain a tuple of an undefined type.
C) A stream can contain at most a single tuple.
D) A stream can contain many tuples of many different types.

Solutions: