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Cloudera Certified Developer for Apache Hadoop Sample Questions:

1. Workflows expressed in Oozie can contain:

A) Iterative repetition of MapReduce jobs until a desired answer or state is reached.
B) Sequences of MapReduce jobs only; no Pig or Hive tasks or jobs. These MapReduce sequences can be combined with forks and path joins.
C) Sequences of MapReduce and Pig. These sequences can be combined with other actions including forks, decision points, and path joins.
D) Sequences of MapReduce and Pig jobs. These are limited to linear sequences of actions with exception handlers but no forks.

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

A) 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).
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 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.
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.

3. Custom programmer-defined counters in MapReduce are:

A) Lightweight devices for bookkeeping within MapReduce programs.
B) Lightweight devices for ensuring the correctness of a MapReduce program. Mappers Increment counters, and reducers decrement counters. If at the end of the program the counters read zero, then you are sure that the job completed correctly.
C) Lightweight devices for synchronization within MapReduce programs. You can use counters to coordinate execution between a mapper and a reducer.

4. You are developing a combiner that takes as input Text keys, IntWritable values, and emits Text keys, Intwritable values. Which interface should your class implement?

A) Reducer <Text, Text, IntWritable, IntWritable>
B) Combiner <Text, Text, IntWritable, IntWritable>
C) Combiner <Text, IntWritable, Text, IntWritable>
D) Reducer <Text, IntWritable, Text, IntWritable>
E) Mapper <Text, IntWritable, Text, IntWritable>

5. Which of the following utilities allows you to create and run MapReduce jobs with any executable or script as the mapper and/or the reducer?

A) Sqoop
B) Hadoop Streaming
C) Flume
D) Oozie

Solutions: