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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. Which one of the following statements describes the relationship between the NodeManager and the ApplicationMaster?

A) The NodeManager creates an instance of the ApplicationMaster
B) The ApplicationMaster starts the NodeManager outside of a Container
C) The NodeManager requests resources from the ApplicationMaster
D) The ApplicationMaster starts the NodeManager in a Container

2. Indentify which method in the Mapper you should use to implement code for reading the file and populating the associative array?

A) map
B) combine
C) init
D) configure

3. Examine the following Hive statements:

Assuming the statements above execute successfully, which one of the following statements is true?

A) Each reducer generates a file sorted by age
B) The output is guaranteed to be a single file with all the data sorted by age
C) The SORT BY command causes only one reducer to be used
D) The output of each reducer is only the age column

4. 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 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.
C) 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.
D) 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.

5. What types of algorithms are difficult to express in MapReduce v1 (MRv1)?

A) Relational operations on large amounts of structured and semi-structured data.
B) Text analysis algorithms on large collections of unstructured text (e.g, Web crawls).
C) Large-scale graph algorithms that require one-step link traversal.
D) Algorithms that require applying the same mathematical function to large numbers of individual binary records.
E) Algorithms that require global, sharing states.

Solutions: