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 HDFS command uploads a local file X into an existing HDFS directory Y?

A) hadoop fs-put X Y
B) hadoop fs -localPut X Y
C) hadoop scp X Y
D) hadoop fs -get X Y

3. Consider the following two relations, A and B.

What is the output of the following Pig commands?
X = GROUP A BY S1; DUMP X;

A) Option C
B) Option A
C) Option D
D) Option B

4. You are developing a MapReduce job for sales reporting. The mapper will process input keys representing the year (IntWritable) and input values representing product indentifies (Text).
Indentify what determines the data types used by the Mapper for a given job.

A) The mapper-specification.xml file submitted with the job determine the mapper's input key and value types.
B) The data types specified in HADOOP_MAP_DATATYPES environment variable
C) The key and value types specified in the JobConf.setMapInputKeyClass and JobConf.setMapInputValuesClass methods
D) The InputFormat used by the job determines the mapper's input key and value types.

5. Which TWO of the following statements are true regarding Hive? Choose 2 answers

A) Offers real-time queries and row level updates
B) Useful for data analysts familiar with SQL who need to do ad-hoc queries
C) Is a relational database
D) Allows you to define a structure for your unstructured Big Data

Solutions: