Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) - HADOOP-PR000007 Exam Practice Test

A. TaskTracker

B. ApplicationMasterService

C. JobTracker

D. ResourceManager

E. NodeManager

F. ApplicationMaster

A. Reduce complexity of the MapReduce APIs.

B. Standardize on a single MapReduce API.

C. HDFS latency.

D. Ability to run frameworks other than MapReduce, such as MPI.

E. Resource pressure on the JobTracker.

F. Single point of failure in the NameNode.

A. The output of each reducer is only the age column

B. Each reducer generates a file sorted by age

C. The SORT BY command causes only one reducer to be used

D. The output is guaranteed to be a single file with all the data sorted by age

A. Run all the nodes in your production cluster as virtual machines on your development workstation.

B. Run the hadoop command with the -jt local and the -fs file:///options.

C. Run simldooop, the Apache open-source software for simulating Hadoop clusters.

D. Run the DataNode, TaskTracker, NameNode and JobTracker daemons on a single machine.

A. Flume

B. HCatalog

C. Sqoop

D. Ambari

A. Yes, so long as both tables fit into memory.

B. Yes.

C. No, MapReduce cannot perform relational operations.

D. Yes, but only if one of the tables fits into memory

E. No, but it can be done with either Pig or Hive.

A. An arbitrary number of namespaces

B. A single namespace

C. No namespaces

D. Two namespaces: an active namespace and a backup namespace

A. Each DataNode registers with all the NameNodes.

B. DataNodes send periodic block reports to all the NameNodes.

C. Each DataNode receives commands from one designated master NameNode.

D. DataNodes send periodic heartbeats to all the NameNodes.

A. Stores HDFS data in a database for performing SQL-like ad-hoc queries

B. Exists as a subproject of Hive

C. Provides a shared schema mechanism

D. Designed to be used by other programs such as Pig, Hive and MapReduce