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Cloudera CCD-333 Exam Syllabus Topics:

Cloudera Certified Developer for Apache Hadoop Sample Questions:

Question 1

Which of the following statements best describes how a large (100 GB) file is stored in HDFS?

A. The file is divided into fixed-size blocks, which are stored on multiple datanodes. Each block is replicated three times by default.HDFS guarantees that different blocks from the same file are never on the same datanode.
B. The file is divided into variable size blocks, which are stored on multiple data nodes. Each block is replicated three times by default.
C. The master copy of the file is stored on a single datanode. The replica copies are divided into fixed-size blocks, which are stored on multiple datanodes.
D. The file is replicated three times by default. Eachcopy of the file is stored on a separate datanodes.
E. The file is divided into fixed-size blocks, which are stored on multiple datanodes. Each block is replicated three times by default. Multiple blocks from the same file might reside on the same datanode.

Question 2

You have written a Mapper which invokes the following five calls to the outputcollector.collect method:

How many times will the Reducer's reduce method be invoked.

A. 3
B. 5
C. 1
D. 0
E. 6

Question 3

For each input key-value pair, mappers can emit:

A. As many intermediate key value pairs as desired, as long as all the keys have the same type and all the values have the same type.
B. One intermediate key value pair, but of the same type.
C. As many intermediate key-value pairs as desired, but they cannot be of the same type as the input key-value pair.
D. As many intermediate key-value pairs as desired. There are no restrictions on the types of those key-value pairs (i.e., they can be heterogeneous).
E. One intermediate key value pair, of a different type.

Question 4

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 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.
B. 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.
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 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.

Question 5

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. Partitioner
B. InputFormat
C. OutputFormat
D. WritableComparable
E. Writable
F. Combiner

Solutions: