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Cloudera CCD-333 Exam Syllabus Topics:

Cloudera Certified Developer for Apache Hadoop Sample Questions:

Question 1

During the standard sort and shuffle phase of MapReduce, keys and values are passed to reducers. Which of the following is true?

A. Keys are presented to a reducer in soiled order; values for a given key are sorted in ascending order.
B. Keys are presented to a reducer in random order; values for a given key are not sorted.
C. Keys are presented to a reducer in sorted order; values for a given key are not sorted.
D. Keys are presented to a reducer in random order; values for a given key are sorted in ascending order.

Question 2

In the standard word count MapReduce algorithm, why might using a combiner reduce the overall Job running time?

A. Because combiners perform local aggregation of word counts, thereby allowing the mappers to process input data faster.
B. Because combiners perform local aggregation of word counts, and then transfer that data to reducers without writing the intermediate data to disk.
C. Because combiners perform local aggregation of word counts, thereby reducing the number of key-value pairs that need to be snuff let across the network to the reducers.
D. Because combiners perform local aggregation of word counts, thereby reducing the number of mappers that need to run.

Question 3

What is the preferred way to pass a small number of configuration parameters to a mapper or reducer?

A. Using a plain text file via the Distributedcache, which each mapper or reducer reads.
B. As key-value pairs in the jobconf object.
C. Through a static variable in the MapReduce driver class (i.e., the class that submits the MapReduce job).
D. As a custom input key-value pair passed to each mapper or reducer.

Question 4

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 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 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 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

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 as soon as the intermediate key-value pairs start to arrive.
B. 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.
C. 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.
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.

Solutions: