Realtime Processing With Apache Spark — Part 1 MCQs with Explanations

Apache Spark is a powerful open-source processing engine for big data analytics and supports multiple programming languages. Option A: Java - This is supported by Spark. Spark has a comprehensive API for Java. Option B: Pascal - This is not supported by Spark. Pascal is not one of the languages for which Spark provides APIs. Option C: Scala - This is supported by Spark. Spark is written in Scala and provides a robust API for it. Option D: Python - This is supported by Spark. Spark has a popular API for Python known as PySpark. Therefore, the correct answer is Option B: Pascal .

Represent an individual action within a coordinator workflow is the correct answer to “What is the primary role of the Oozie Coordinator Action”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.

Specify the input data for a coordinator workflow is the correct answer to “In Oozie, what does the term "data-in" represent in a coordinator workflow”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.

Embed a subworkflow within a main workflow for modular design is the correct answer to “What is the significance of the Oozie Subworkflow in workflow automation”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.

Indicate the beginning and end of a workflow is the correct answer to “In Oozie, what is the purpose of the "start" and "end" nodes in a workflow”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.

Send alerts based on Service Level Agreement (SLA) violations is the correct answer to “What is the role of the Oozie SLA Alert in workflow automation”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.

Define and manage a bundle of coordinated workflows is the correct answer to “In Oozie, what is the primary function of the Oozie Bundle Application Coordinator”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.

Parallelize and synchronize the execution of multiple actions is the correct answer to “What is the significance of the Oozie Fork and Join nodes in a workflow”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.

Specify the final state or outcome of an action is the correct answer to “In Oozie, what does the term "end" represent in a workflow action”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.

Create and distribute Oozie Sharelib libraries is the correct answer to “What is the purpose of the Oozie Sharelib Create tool”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.

Define the maximum execution time for an action is the correct answer to “In Oozie, what is the role of the "timeout" property in a workflow action”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.

CollocDriver is the correct answer to “. . . . . . . . generates NGrams and counts frequencies for ngrams, head and tail subgrams.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.

ALTER INDEX ... REBUILD is the correct answer to “Which of the following Hive commands is not supported by HCatalog”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.

10000 is the correct answer to “A float parameter, defaults to 0.0001f, which means we can deal with 1 error every . . . . . . . . rows.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.

BALANCESHARDUNIQUE is the correct answer to “. . . . . . . . Collection API allows for even distribution of custom replica properties.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.

Mesos is the correct answer to “Spark runs on top of . . . . . . . . a cluster manager system which provides efficient resource isolation across distributed applications.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.

SIMR is the correct answer to “Which of the following can be used to launch Spark jobs inside MapReduce”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.

TFramedTransport is the correct answer to “. . . . . . . . transport is required when using a non-blocking server.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.

nested is the correct answer to “Drill also provides intuitive extensions to SQL to work with . . . . . . . . data types.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.

Lucene Core is the correct answer to “. . . . . . . . provides Java-based indexing and search technology.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.

setOutput is the correct answer to “The first call on the HCatOutputFormat must be . . . . . . . .”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.

HCatInputFormat is the correct answer to “. . . . . . . . accepts a table to read data from and optionally a selection predicate to indicate which partitions to scan.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.

org.apache.crunch is the correct answer to “The top-level . . . . . . . . package contains three of the most important specializations in Crunch.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.

DoFns is the correct answer to “. . . . . . . . represent the logical computations of your Crunch pipelines.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.

BSP is the correct answer to “The web UI provides information about . . . . . . . . job statistics of the Hama cluster.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.

Agent Tier Event is the correct answer to “. . . . . . . . is used when you want the sink to be the input source for another operation.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.

Robert is the correct answer to “With HCatalog . . . . . . . . does not need to modify the table structure.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.

TSimpleServer is the correct answer to “. . . . . . . . is a single-threaded server using standard blocking I/O.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.

CLI is the correct answer to “The HCatalog . . . . . . . . supports all Hive DDL that does not require MapReduce to execute.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.

RDDs is the correct answer to “Spark SQL provides a domain-specific language to manipulate . . . . . . . . in Scala, Java, or Python.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.

ODBC is the correct answer to “Drill integrates with BI tools using a standard . . . . . . . . connector.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.

llr is the correct answer to “The . . . . . . . . collocation identifier is integrated into the process that is used to create vectors from sequence files of text keys and values.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.

Local Mode is the correct answer to “. . . . . . . . is the default mode if you download Hama.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.

JVM is the correct answer to “Flume deploys as one or more agents, each contained within its own instance of . . . . . . . .”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.

TCompactProtocol is the correct answer to “Which of the following is a more compact binary format”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.

FlumeJava is the correct answer to “The Crunch APIs are modeled after . . . . . . . . which is the library that Google uses for building data pipelines on top of their own implementation of MapReduce.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.

TDenseProtocol is the correct answer to “Which of the following format is similar to TCompactProtocol”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.

semi-cluster is the correct answer to “A . . . . . . . . in a social graph is a group of people who interact frequently with each other and less frequently with others.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.

stats.field is the correct answer to “. . . . . . . . can be used to generate stats over the results of arbitrary numeric functions.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.

union is the correct answer to “PCollection, PTable, and PGroupedTable all support a . . . . . . . . operation.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.