MapReduce Practice Test – Unlock it in 5 Minutes and 9 Seconds
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1. Hadoop MapReduce Practice Test
This is the last part of the MapReduce Quiz. In our last two MapReduce Practice Test, we saw many tricky MapReduce Quiz Questions and frequently asked Hadoop MapReduce interview questions. This Hadoop MapReduce practice test, we are including many questions, which help you to crack Hadoop developer interview, Hadoop admin interview, Big Data Hadoop Interview and many more.
So, are ready for MapReduce Practice Test?
Q.1 Is it mandatory to set input and output type/format in Hadoop MapReduce?
Q.2 HashPartitioner uses which method to determine, to which partition a given (key, value) pair will be sent
Q.3 Which of the following permits to use multiple Mapper classes within a single Map task
Q.4 Identity Reducer is the default Reducer provided by Hadoop
Q.5 The parameters for Mappers are:
Q.6 The parameters for Reducers are:
Q.7 Hadoop framework invokes Splitting of the file by running which of the following method
Q.8 For 514 MB file how many InputSplit will be created
Q.9 Which among the following is used to provide multiple inputs to Hadoop?
Q.10 Which statement is true about EditLogs
Q.11 Identity Mapper is the default Mapper in Hadoop
Q.12 Which among following class is responsible for converting inputs to key-value Pairs?
Q.13 What is the most common OutputFormat in Hadoop
Q.15 Which of the following is used to set mappers for MapReduce jobs?
Q.16 Which of the following is used set reducers for MapReduce jobs?
Q.17 Which of the following is the correct sequence of MapReduce flow?
Q.18 The process by which the system performs the sort and transfers the map outputs to the reducer as inputs is known as
Q.19 Which of the following is used to make sure that all the value of a single key goes to the same reducer
Q.20 Which of the following is the default Partitioner for partitioning keyspace.
Hope you scored well? Now, you are prepared to go for Interview. If you want to learn more about these types of questions, refer our Hadoop MapReduce Interview Questions.