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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Pig Development | - Pig data types and UDFs - Pig Latin scripting |
| Hive Development | - Hive optimization and execution - Hive table definitions and queries |
| Hadoop Ecosystem Tools | - Sqoop and data ingestion - Workflow and processing frameworks |
| Hadoop Core Concepts | - HDFS architecture and commands - YARN and MapReduce fundamentals |
Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Sample Questions:
MapReduce v2 (MRv2/YARN) is designed to address which two issues?
- A. Reduce complexity of the MapReduce APIs.
- B. Single point of failure in the NameNode.
- C. Standardize on a single MapReduce API.
- D. Resource pressure on the JobTracker.
- E. Ability to run frameworks other than MapReduce, such as MPI.
- F. HDFS latency.
Correct Answer: B,D 🗳️
For each input key-value pair, mappers can emit:
- A. As many intermediate key-value pairs as designed. There are no restrictions on the types of those
key-value pairs (i.e., they can be heterogeneous). - B. One intermediate key-value pair, of a different type.
- C. As many intermediate key-value pairs as designed, as long as all the keys have the same types and all
the values have the same type. - D. As many intermediate key-value pairs as designed, but they cannot be of the same type as the input
key-value pair. - E. One intermediate key-value pair, but of the same type.
Correct Answer: C 🗳️
You want to run Hadoop jobs on your development workstation for testing before you submit them to your
production cluster. Which mode of operation in Hadoop allows you to most closely simulate a production
cluster while using a single machine?
- A. Run all the nodes in your production cluster as virtual machines on your development workstation.
- B. Run simldooop, the Apache open-source software for simulating Hadoop clusters.
- C. Run the DataNode, TaskTracker, NameNode and JobTracker daemons on a single machine.
- D. Run the hadoop command with the -jt local and the -fs file:///options.
Correct Answer: C 🗳️
You've written a MapReduce job that will process 500 million input records and generated 500 million
key-value pairs. The data is not uniformly distributed. Your MapReduce job will create a significant
amount of intermediate data that it needs to transfer between mappers and reduces which is a potential
bottleneck. A custom implementation of which interface is most likely to reduce the amount of
intermediate data transferred across the network?
- A. Partitioner
- B. InputFormat
- C. WritableComparable
- D. OutputFormat
- E. Writable
- F. Combiner
Correct Answer: F 🗳️
In the reducer, the MapReduce API provides you with an iterator over Writable values. What does calling
the next () method return?
- A. It returns a reference to a Writable object from an object pool.
- B. It returns a reference to a different Writable object time.
- C. It returns a reference to the same Writable object each time, but populated with different data.
- D. It returns a reference to the same Writable object if the next value is the same as the previous value, or
a new Writable object otherwise. - E. It returns a reference to a Writable object. The API leaves unspecified whether this is a reused object
or a new object.
Correct Answer: C 🗳️
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