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True. Explanation: The Map/Reduce framework typically divides the input data into fixed-size chunks, commonly 16 to 64 MB, which are then processed independently by map tasks. False. Explanation: While there are M partitions, the number of map workers running simultaneously is usually less than M. Learn more on: Sailpoint Online Training

True.

If there are M partitions of the input, there are M map workers running simultaneously.

False. The number of map workers can be less than the number of partitions, depending on the available resources.

Reduce function accepts an intermediate key and a set of values for that key and merges together these [values to form possibly a smaller set of values.

True.

Map and Reduce are user-defined functions.

True. For those interested in expanding their skills, consider exploring our Apache Spark Certification Training, tailored for enhancing expertise in big data frameworks which are highly compatible with embedded systems applications.

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