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Cloudera Certified Developer for Apache Hadoop Sample Questions:

1. You need to create a GUI application to help your company's sales people add and edit customer information. Would HDFS be appropriate for this customer information file?

A) Yes, because HDFS is optimized for fast retrieval of relatively small amounts of data.
B) Yes, because HDFS is optimized for random access writes.
C) No, because HDFS is optimized for write-once, streaming access for relatively large files.
D) No, because HDFS can only be accessed by MapReduce applications.

2. In a MapReduce job, you want each of you input files processed by a single map task. How do you configure a MapReduce job so that a single map task processes each input file regardless of how many blocks the input file occupies?

A) Set the number of mappers equal to the number of input files you want to process.
B) Increase the parameter that controls minimum split size in the job configuration.
C) Write a custom MapRunner that iterates over all key-value pairs in the entire file.
D) Write a custom FileInputFormat and override the method isSplittable to always return false.

3. Which happens if the NameNode crashes?

A) HDFS becomes unavailable until the NameNode is restored.
B) HDFS becomes unavailable to new MapReduce jobs, but running jobs will continue until completion.
C) The Secondary NameNode seamlessly takes over and there is no service interruption.
D) HDFS becomes temporarily unavailable until an administrator starts redirecting client requests to the Secondary NameNode.

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

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

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

Solutions: