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Cloudera CCD-333 Exam Syllabus Topics:

Cloudera Certified Developer for Apache Hadoop Sample Questions:

1. For each intermediate key, each reducer task can emit:

A) As many final key value pairs as desired. There are no restrictions on the types of those key-value pairs (i.e., they can be heterogeneous)
B) As many final key-value pairs as desired, as long as all the keys have the same type and all the values have the same type.
C) One final key value pair per key; no restrictions on the type.
D) As many final key-value pairs as desired, but they must have the same type as the intermediate key-value pairs.
E) One final key-value pair per value associated with the key; no restrictions on the type.

2. Which of the following statements most accurately describes the relationship between MapReduce and Pig?

A) Pig provides the additional capability of allowing you to control the flow of multiple MapReduce jobs.
B) Pig programs rely on MapReduce but are extensible, allowing developers to do special-purpose processing not provided by MapReduce.
C) Pig provides additional capabilities that allow certain types of data manipulation not possible with MapReduce.
D) Pig provides no additional capabilities to MapReduce. Pig programs are executed as MapReduce jobs via the Pig interpreter.

3. 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) Combiner
C) Default Partitioner
D) IdentityReducer
E) IdentityMapper

4. You have an employee who is a Date Analyst and is very comfortable with SQL. He would like to run ad-hoc analysis on data in your HDFS duster. Which of the following is a data warehousing software built on top of Apache Hadoop that defines a simple SQL-like query language well-suited for this kind of user?

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

5. You are running a job that will process a single InputSplit on a cluster which has no other jobs currently running. Each node has an equal number of open Map slots. On which node will Hadoop first attempt to run the Map task?

A) The node with the lowest system load
B) The node on which this InputSplit is stored
C) The node with the most memory
D) The node with the most free local disk space

Solutions: