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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. All keys used for intermediate output from mappers must:

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

2. Which one of the following statements is true regarding a MapReduce job?

A) The reduce method is invoked once for each unique value
B) The default Hash Partitioner sends key value pairs with the same key to the same Reducer
C) The Mapper must sort its output of (key.value) pairs in descending order based on value
D) The job's Partitioner shuffles and sorts all (key.value) pairs and sends the output to all reducers

3. Which one of the following files is required in every Oozie Workflow application?

A) Oozie.xml
B) Config-default.xml
C) job.properties
D) Workflow.xml

4. Which describes how a client reads a file from HDFS?

A) The client contacts the NameNode for the block location(s). The NameNode contacts the DataNode that holds the requested data block. Data is transferred from the DataNode to the NameNode, and then from the NameNode to the client.
B) The client contacts the NameNode for the block location(s). The NameNode then queries the DataNodes for block locations. The DataNodes respond to the NameNode, and the NameNode redirects the client to the DataNode that holds the requested data block(s). The client then reads the data directly off the DataNode.
C) The client queries all DataNodes in parallel. The DataNode that contains the requested data responds directly to the client. The client reads the data directly off the DataNode.
D) The client queries the NameNode for the block location(s). The NameNode returns the block location(s) to the client. The client reads the data directory off the DataNode(s).

5. You need to perform statistical analysis in your MapReduce job and would like to call methods in the Apache Commons Math library, which is distributed as a 1.3 megabyte Java archive (JAR) file. Which is the best way to make this library available to your MapReducer job at runtime?

A) Have your system administrator copy the JAR to all nodes in the cluster and set its location in the HADOOP_CLASSPATH environment variable before you submit your job.
B) Package your code and the Apache Commands Math library into a zip file named JobJar.zip
C) When submitting the job on the command line, specify the -libjars option followed by the JAR file path.
D) Have your system administrator place the JAR file on a Web server accessible to all cluster nodes and then set the HTTP_JAR_URL environment variable to its location.

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