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

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

2. A combiner reduces:

A) The number of input files a mapper must process.
B) The amount of intermediate data that must be transferred between the mapper and reducer.
C) The number of output files a reducer must produce.
D) The number of values across different keys in the iterator supplied to a single reduce method call.

3. The Hadoop framework provides a mechanism for coping with machine issues such as faulty configuration or impending hardware failure. MapReduce detects that one or a number of machines are performing poorly and starts more copies of a map or reduce task. All the tasks run simultaneously and the task finish first are used. This is called:

A) Default Partitioner
B) IdentityMapper
C) Combine
D) Speculative Execution
E) IdentityReducer

4. For each input key-value pair, mappers can emit:

A) One intermediate key-value pair, of a different type.
B) 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).
C) As many intermediate key-value pairs as designed, but they cannot be of the same type as the input key-value pair.
D) One intermediate key-value pair, but of the same type.
E) 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.

5. In Hadoop 2.0, which TWO of the following processes work together to provide automatic failover of the NameNode? Choose 2 answers

A) ZooKeeper
B) ZKFailoverController
C) JournalNode
D) QuorumManager

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