In MapReduce, what is the role of the Mapper?Question 1Answera.Data filteringb.Data sortingc. Data shufflingd.Data processing
Question
In MapReduce, what is the role of the Mapper?Question 1Answera.Data filteringb.Data sortingc. Data shufflingd.Data processing
Solution
The role of the Mapper in MapReduce is a. Data filtering.
In the MapReduce model, the Mapper's job is to process the input data. Generally, the input data is in the form of a file or directory and is stored in the Hadoop file system (HDFS). The Mapper takes the input, tokenizes it into words (for example, if the data is text), and for each word, it emits a key-value pair, where the key is the word and the value is 1. This process
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Which of the following about the MapReduce framework is/are correct?Question 7Select one or more:Select one or more:a.The MapReduce framework must be able to handle concurrent transactions, which are common in a distributed computing environment.b.The key/value pairs generated by map workers are directly sent to reduce workers as input.c.A reduce worker can only start a reduce task after all map workers finish their map tasks.d.A reduce worker may start a reduce task while some map workers are still running their map tasks.e.In the MapReduce framework, developers need to handle load balancing by writing code in the map and reduce functions.
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What is a “map wave” in Hadoop in the context of parallel data processing?Group of answer choicesIt is the number of map tasks in a given jobIt is the number of map tasks that execute concurrently in parallelIt is the number of cores in clusterIt is the number of map tasks that will execute longer than the other map tasks
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