Hortonworks Apache-Hadoop-Developer : Hadoop 2.0 Certification exam for Pig and Hive Developer

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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:

Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:

1. MapReduce v2 (MRv2/YARN) is designed to address which two issues?

A) Standardize on a single MapReduce API.
B) Ability to run frameworks other than MapReduce, such as MPI.
C) Resource pressure on the JobTracker.
D) Reduce complexity of the MapReduce APIs.
E) Single point of failure in the NameNode.
F) HDFS latency.

2. Which one of the following statements is true about a Hive-managed table?

A) Hive dynamically defines the schema of the table based on the FROM clause of a SELECT query.
B) When the table is dropped, the underlying folder in HDFS is deleted.
C) Hive dynamically defines the schema of the table based on the format of the underlying data.
D) Records can only be added to the table using the Hive INSERT command.

3. All keys used for intermediate output from mappers must:

A) Override isSplitable.
B) Implement a splittable compression algorithm.
C) Be a subclass of FileInputFormat.
D) Implement WritableComparable.
E) Implement a comparator for speedy sorting.

4. Which HDFS command displays the contents of the file x in the user's HDFS home directory?

A) hadoop fs -cat x
B) hadoop fs -Is x
C) hdfs fs -get x
D) hadoop fs -cp x

5. Your cluster's HDFS block size in 64MB. You have directory containing 100 plain text files, each of which is 100MB in size. The InputFormat for your job is TextInputFormat. Determine how many Mappers will run?

A) 64
B) 100
C) 200
D) 640

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