Question

which of the following is true for map phase

Answer 1

answer the answer is map

destination

Answer 2

Answer:

Again, without more information or context, it is difficult to provide a more specific answer to your question.

Explanation:

It is difficult to provide a specific answer to your question about the "map phase" without more context or information. However, in general, the "map phase" can refer to a stage in a data processing framework like Hadoop or MapReduce, where data is processed and transformed in parallel across multiple nodes in a distributed system.

Some characteristics that may be true for the map phase in these contexts include:

Input data is partitioned into smaller chunks and processed in parallel across multiple nodes.

The map function is applied to each chunk of data independently to generate key-value pairs.

The output of the map function is then shuffled and sorted to group together all the key-value pairs with the same key.

The output of the map phase is a set of intermediate key-value pairs that are fed into the next stage of processing, the "reduce phase."

Again, without more information or context, it is difficult to provide a more specific answer to your question.

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