Cloudera CCD-333 Exam Questions : Cloudera Certified Developer for Apache Hadoop

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Cloudera CCD-333 Exam Syllabus Topics:

Cloudera Certified Developer for Apache Hadoop Sample Questions:

1. 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 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.
D) 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.

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) 0
B) 5
C) 1
D) 3
E) 6

3. When is the reduce method first called in a MapReduce job?

A) Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed. The reduce method is called only after all intermediate data has been copied and sorted.
B) Reducers start copying intermediate key value pairs from each Mapper as soon as it has completed. The reduce method is called as soon as the intermediate key-value pairs start to arrive.
C) Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed. The programmer can configure in the job what percentage of the intermediate data should arrive before the reduce method begins.
D) Reduce methods and map methods all start at the beginning of a job, in order to provide optimal performance for map-only or reduce-only jobs.

4. What is the standard configuration of slave nodes in a Hadoop cluster?

A) Each slave node either runs a TaskTracker or a DataNode daemon, but not both.
B) Each slave node runs a JobTracker and a DataNode daemon.
C) Each slave node runs a TaskTracker and a DataNode daemon.
D) Each slave node runs a DataNode daemon, but only a fraction of the slave nodes run TaskTrackers.
E) Each slave node runs a TaskTracker, but only a fraction of the slave nodes run DataNode daemons.

5. The Hadoop framework provides a mechanism for coping with machine issues such as faulty configuration or impending hardware failure. MapReduce detects that one or a number of machines are performing poorly and starts more copies of a map or reduce task. All the tasks run simultaneously and the task that finish first are used. This is called:

A) Speculative Execution
B) IdentityMapper
C) Combiner
D) IdentityReducer
E) Default Partitioner

Solutions: