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Cloudera Certified Developer for Apache Hadoop Sample Questions:

1. What types of algorithms are difficult to express MapReduce?

A) Large-scale graph algorithms that require one-step link traversal.
B) Algorithms that requite global, shared state.
C) Algorithms that require applying the same mathematical function to large numbers of individual binary records.
D) Text analysis algorithms on large collections of unstructured text (e.g., Web crawls).
E) Relational operations on large amounts of structured and semi structured data.

2. 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 11 TB
B) about 3 TB
C) about 10 TB
D) about 5 TB

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

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

4. In a large MapReduce job with m mappers and r reducers, how many distinct copy operations will there be in the sort/shuffle phase?

A) mr (i.e., m to the power of r)
B) m+r (i.e., m plus r)
C) m
D) mxr (i.e., m multiplied by r)
E) r

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

Solutions: