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Cloudera CCD-333 Exam Syllabus Topics:

Cloudera Certified Developer for Apache Hadoop Sample Questions:

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

2. You have a large dataset of key-value pairs, where the keys are strings, and the values are integers. For each unique key, you want to identify the largest integer. In writing a MapReduce program to accomplish this, can you take advantage of a combiner?

A) Yes, as long as all the keys fit into memory on each node.
B) Yes.
C) Yes, but the number of unique keys must be known in advance.
D) Yes, as long as all the integer values that share the same key fit into memory on each node.
E) No, a combiner would not be useful in this case.

3. Which of the following best describes the map method input and output?

A) It accepts a single key-value pair as input and can emit any number of key-value pairs as output, including zero.
B) It accepts a list of key-value pairs as input hut run emit only one key value pair as output.
C) It accepts a single key-value pair as input and can emit only one key-value pair as output.
D) It accepts a single key-value pair as input and emits a single key and list of corresponding values as output

4. Custom programmer-defined counters in MapReduce are:

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

5. Which of the following utilities allows you to create and run MapReduce jobs with any executable or script as the mapper and/or the reducer?

A) Hadoop Streaming
B) Flume
C) Sqoop
D) Oozie

Solutions: