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Cloudera Certified Developer for Apache Hadoop Sample Questions:

1. Custom programmer-defined counters in MapReduce are:

A) Lightweight devices for synchronization within MapReduce programs. You can use counters to coordinate execution between a mapper and a reducer.
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 bookkeeping within MapReduce programs.

2. If you run the word count MapReduce program with m mappers and r reducers, how many output files will you get at the end of the job? And how many key-value pairs will there be in each file? Assume k is the number of unique words in the input files.

A) There will be m files, each with exactly k/m key value pairs.
B) There will be r files, each with exactly k/r key-value pairs.
C) There will be m files, each with approximately k/m key-value pairs.
D) There will be r files, each with approximately k/m key-value pairs.
E) There will be r files, each with approximately k/r key-value pairs.

3. Your cluster has 10 DataNodes, each with a single 1 TB hard drive. You utilize all your disk capacity for HDFS, reserving none for MapReduce. You implement default replication settings. What is the storage capacity of your Hadoop cluster (assuming no compression)?

A) about 5 TB
B) about 10 TB
C) about 11 TB
D) about 3 TB

4. The NameNode uses RAM for the following purpose:

A) To store filenames, list of blocks and other meta information.
B) To store the contents of files in HDFS.
C) To manage distributed read and write locks on files in HDFS.
D) To store the edits log that keeps track of changes in HDFS.

5. You need a distributed, scalable, data Store that allows you random, realtime read/write access to hundreds of terabytes of data. Which of the following would you use?

A) HBase
B) Flume
C) Pig
D) Oozie
E) Hue
F) Sqoop
G) Hive

Solutions: