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Cloudera Certified Developer for Apache Hadoop Sample Questions:

1. You've written a MapReduce job that will process 500 million input records and generate 500 million key-value pairs. The data is not uniformly distributed. Your MapReduce job will create a significant amount of intermediate data that it needs to transfer between mappers and reducers which is a potential bottleneck. A custom implementation of which of the following interfaces is most likely to reduce the amount of intermediate data transferred across the network?

A) WritableComparable
B) OutputFormat
C) Writable
D) Combiner
E) InputFormat
F) Partitioner

2. Which two of the following are valid statements? (Choose two)

A) HDFS has the Characteristic of supporting a "write once, read many" data access model.
B) HDFS is a distributed file system that runs on top of native OS filesystems and is well suited to storage of very large data sets.
C) HDFS is a distributed file system that replaces ext3 or ext4 on Linux nodes in a Hadoop cluster.
D) HDFS is optimized for storing a large number of files smaller than the HDFS block size.

3. Which of the following describes how a client reads a file from HDFS?

A) The client contacts the NameNode for the block location(s). The NameNode contacts theDataNode that holds the requested data block. Data is transferred from the DataNode to the NameNode, and then from the NameNode to the client.
B) The client queries all DataNodes in parallel. The DataNode that contains the requested data responds directly to the client. The client reads the data directly off the DataNode.
C) The client queries the NameNode for the block location(s). The NameNode returns the block location(s) to the client. The client reads the data directly off the DataNode(s).
D) The client contacts the NameNode for the block location(s). The NameNode then queries the DataNodes for block locations. The DataNodes respond to the NameNode, and the NameNode redirects the client to the DataNode that holds the requested data block(s). The client then reads the data directly off the DataNode.

4. What is a SequenceFile?

A) A SequenceFile contains a binary encoding of an arbitrary number of homogeneous writable objects.
B) A SequenceFile contains a binary encoding of an arbitrary number of heterogeneous writable objects.
C) A SequenceFile contains a binary encoding of an arbitrary number key-value pairs. Each key must be the same type. Each value must be same type.
D) A SequenceFile contains a binary encoding of an arbitrary number of WritableComparable objects, in sorted order.

5. Which of the Following best describes the lifecycle of a Mapper?

A) The TaskTracker spawns a new Mapper to process each key-value pair.
B) The TaskTracker spawns a new Mapper to process all records in a single input split.
C) The JobTracker calls the FastTracker's configure () method, then its map () method and finally its closer ()
D) The JobTracker spawns a new Mapper to process all records in a single file.

Solutions: