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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. How are keys and values presented and passed to the reducers during a standard sort and shuffle phase of MapReduce?

A) Keys are presented to a reducer in random order; values for a given key are not sorted.
B) Keys are presented to reducer in sorted order; values for a given key are sorted in ascending order.
C) Keys are presented to reducer in sorted order; values for a given key are not sorted.
D) Keys are presented to a reducer in random order; values for a given key are sorted in ascending order.

2. You want to understand more about how users browse your public website, such as which pages they visit prior to placing an order. You have a farm of 200 web servers hosting your website. How will you gather this data for your analysis?

A) Sample the weblogs from the web servers, copying them into Hadoop using curl.
B) Import all users' clicks from your OLTP databases into Hadoop, using Sqoop.
C) Channel these clickstreams inot Hadoop using Hadoop Streaming.
D) Write a MapReduce job, with the web servers for mappers, and the Hadoop cluster nodes for reduces.
E) Ingest the server web logs into HDFS using Flume.

3. 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) Combiner
B) WritableComparable
C) InputFormat
D) OutputFormat
E) Writable
F) Partitioner

4. Which one of the following statements is false about HCatalog?

A) Exists as a subproject of Hive
B) Stores HDFS data in a database for performing SQL-like ad-hoc queries
C) Designed to be used by other programs such as Pig, Hive and MapReduce
D) Provides a shared schema mechanism

5. In Hadoop 2.0, which one of the following statements is true about a standby NameNode?
The Standby NameNode:

A) Processes all client requests and block reports from the appropriate DataNodes.
B) Communicates directly with the active NameNode to maintain the state of the active NameNode.
C) Receives the same block reports as the active NameNode.
D) Runs on the same machine and shares the memory of the active NameNode.

Solutions: