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Cloudera Certified Developer for Apache Hadoop Sample Questions:

1. Given a Mapper, Reducer, and Driver class packaged into a jar, which is the correct way of submitting the job to the cluster?

A) hadoop jar MyJar.jar MyDriverClass inputdir outputdir
B) jar MyJar.jar
C) hadoop jar class MyJar.jar MyDriverClass inputdir outputdir
D) jar MyJar.jar MyDriverClass inputdir outputdir

2. You need to import a portion of a relational database every day as files to HDFS, and generate Java classes to Interact with your imported data. Which of the following tools should you use to accomplish this?

A) Flume
B) Pig
C) Oozie
D) Hive
E) fuse-dfs
F) Sqoop
G) Hue

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

A) 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.
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 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. Can you use MapReduce to perform a relational join on two large tables sharing a key? Assume that the two tables are formatted as comma-separated file in HDFS.

A) Yes.
B) No, MapReduce cannot perform relational operations.
C) Yes, so long as both tables fit into memory.
D) No, but it can be done with either Pig or Hive.
E) Yes, but only if one of the tables fits into memory.

5. What is the behavior of the default partitioner?

A) The default partitioner computes the hash of the value and takes the mod of that value with the number of reducers. The result determines the reducer assigned to process the key value pair.
B) The default partitioner implements a round robin strategy, shuffling the key value pairs to each reducer in turn. This ensures an even partition of the key space.
C) The default partitioner computes the hash of the key and divides that value modulo the number of reducers. The result determines the reducer assigned to process the key-value pair.
D) The default partitioner assigns key value pairs to reducers based on an internal random number generator.
E) The default partitioner computes the hash of the key. Hash values between specific ranges are associated with different buckets, and each bucket is assigned to a specific reducer.

Solutions: