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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:

SectionObjectives
Pig Development- Pig Latin scripting
- Pig data types and UDFs
Hadoop Core Concepts- HDFS architecture and commands
- YARN and MapReduce fundamentals
Hadoop Ecosystem Tools- Sqoop and data ingestion
- Workflow and processing frameworks
Hive Development- Hive optimization and execution
- Hive table definitions and queries

Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Sample Questions:

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


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

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


3. Which process describes the lifecycle of a Mapper?

A) The TaskTracker spawns a new Mapper to process each key-value pair.
B) The TaskTracker spawns a new Mapper to process all records in a single input split.
C) The JobTracker spawns a new Mapper to process all records in a single file.
D) The JobTracker calls the TaskTracker's configure () method, then its map () method and finally its close () method.


4. Your client application submits a MapReduce job to your Hadoop cluster. Identify the Hadoop daemon on
which the Hadoop framework will look for an available slot schedule a MapReduce operation.

A) TaskTracker
B) JobTracker
C) DataNode
D) NameNode
E) Secondary NameNode


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

A) 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).
B) 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.
C) 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.
D) 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.


Solutions:

Question # 1
Answer: D
Question # 2
Answer: A
Question # 3
Answer: B
Question # 4
Answer: B
Question # 5
Answer: A

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