Hortonworks HADOOP-PR000007

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Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Sample Questions:

1. 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 finish first are used. This is called:

A) Default Partitioner
B) Combine
C) IdentityReducer
D) IdentityMapper
E) Speculative Execution

2. What is the term for the process of moving map outputs to the reducers?

A) Combining
B) Reducing
C) Shuffling and sorting
D) Partitioning

3. Which one of the following Hive commands uses an HCatalog table named x?

A) SELECT * FROM x;
B) Hive commands cannot reference an HCatalog table
C) SELECT * FROM org.apache.hcatalog.hive.HCatLoader('x');
D) SELECT x.-FROM org.apache.hcatalog.hive.HCatLoader('x');

4. Identify the tool best suited to import a portion of a relational database every day as files into HDFS, and
generate Java classes to interact with that imported data?

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

5. You wrote a map function that throws a runtime exception when it encounters a control character in input
data. The input supplied to your mapper contains twelve such characters totals, spread across five file
splits. The first four file splits each have two control characters and the last split has four control
characters.
Indentify the number of failed task attempts you can expect when you run the job with
mapred.max.map.attempts set to 4:

A) You will have forty-eight failed task attempts
B) You will have twelve failed task attempts
C) You will have seventeen failed task attempts
D) You will have five failed task attempts
E) You will have twenty failed task attempts

Solutions: