Realtime Processing with Apache Spark MCQ question and answer with solution

81.
. . . . . . . . mode is used when you just have a single server and want to launch all the daemon processes.

A. Local Mode

B. Pseudo Distributed Mode

C. Distributed Mode

D. All of the mentioned

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82.
. . . . . . . . is a distributed machine learning framework on top of Spark.

A. MLlib

B. Spark Streaming

C. GraphX

D. RDDs

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83.
Point out the wrong statement.

A. Apache Hama is not a pure Bulk Synchronous Parallel Engine

B. Hama uses the Hadoop Core for RPC calls

C. Apache Hama is optimized for massive scientific computations such as matrix, graph and network algorithms

D. Hama is a relatively newer project than Hadoop

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84.
Hive does not have a data type corresponding to the . . . . . . . . type in Pig.

A. decimal

B. short

C. biginteger

D. datetime

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85.
You can write to a single partition by specifying the partition key(s) and value(s) in the . . . . . . . . method.

A. setOutput

B. setOut

C. put

D. get

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86.
Point out the wrong statement.

A. With Thrift, it is not possible to define a service and change the protocol and transport without recompiling the code

B. Thrift includes server infrastructure to tie protocols and transports together, like blocking, non-blocking, and multi threaded servers

C. Thrift supports a number of protocols for service definition

D. None of the mentioned

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87.
DoFns provide direct access to the . . . . . . . . object that is used within a given Map or Reduce task via the getContext method.

A. TaskInputContext

B. TaskInputOutputContext

C. TaskOutputContext

D. All of the mentioned

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88.
GraphX provides an API for expressing graph computation that can model the . . . . . . . . abstraction.

A. GaAdt

B. Spark Core

C. Pregel

D. None of the mentioned

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89.
The . . . . . . . . class allows developers to exercise precise control over how data is partitioned, sorted, and grouped by the underlying execution engine.

A. Grouping

B. GroupingOptions

C. RowGrouping

D. None of the mentioned

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90.
Hive, Pig, and Cascading all use a . . . . . . . . data model.

A. value centric

B. columnar

C. tuple-centric

D. none of the mentioned

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Realtime Processing with Apache Spark MCQ question and answer with solution | Hadoop MCQs

81. . . . . . . . . mode is used when you just have a single server and want to launch all the daemon processes.

Answer & Solution

82. . . . . . . . . is a distributed machine learning framework on top of Spark.

Answer & Solution

83. Point out the wrong statement.

Answer & Solution

84. Hive does not have a data type corresponding to the . . . . . . . . type in Pig.

Answer & Solution

85. You can write to a single partition by specifying the partition key(s) and value(s) in the . . . . . . . . method.

Answer & Solution

86. Point out the wrong statement.

Answer & Solution

87. DoFns provide direct access to the . . . . . . . . object that is used within a given Map or Reduce task via the getContext method.

Answer & Solution

88. GraphX provides an API for expressing graph computation that can model the . . . . . . . . abstraction.

Answer & Solution

89. The . . . . . . . . class allows developers to exercise precise control over how data is partitioned, sorted, and grouped by the underlying execution engine.

Answer & Solution

90. Hive, Pig, and Cascading all use a . . . . . . . . data model.

Answer & Solution

Read More Section(Realtime Processing with Apache Spark)

81.
. . . . . . . . mode is used when you just have a single server and want to launch all the daemon processes.

82.
. . . . . . . . is a distributed machine learning framework on top of Spark.

83.
Point out the wrong statement.

84.
Hive does not have a data type corresponding to the . . . . . . . . type in Pig.

85.
You can write to a single partition by specifying the partition key(s) and value(s) in the . . . . . . . . method.

86.
Point out the wrong statement.

87.
DoFns provide direct access to the . . . . . . . . object that is used within a given Map or Reduce task via the getContext method.

88.
GraphX provides an API for expressing graph computation that can model the . . . . . . . . abstraction.

89.
The . . . . . . . . class allows developers to exercise precise control over how data is partitioned, sorted, and grouped by the underlying execution engine.

90.
Hive, Pig, and Cascading all use a . . . . . . . . data model.