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

A. Solr

B. Lucene Core

C. Lucy

D. All of the mentioned

A. setOutputSchema

B. setOutput

C. setOut

D. OutputSchema

A. Apache Hama is a distributed computing framework based on Bulk Synchronous Parallel computing techniques for massive scientific computations

B. Hama is a Top Level Project under the Apache Software Foundation

C. BSP stands for Bulk Synchronous Parallel

D. All of the mentioned

A. HCatOutputFormat

B. HCatInputFormat

C. OutputFormat

D. InputFormat

A. org.apache.scrunch

B. org.apache.crunch

C. org.apache.kcrunch

D. all of the mentioned

A. DoFns

B. DoFn

C. ThreeFns

D. None of the mentioned

A. 'Taste' collaborative-filtering recommender component of Mahout was originally a separate project and can run standalone without Hadoop

B. Integration of Mahout with initiatives such as the Pregel-like Giraph are actively under discussion

C. Calculating the LLR is very straightforward

D. None of the mentioned

A. StreamPipeline executes the pipeline in-memory on the client

B. MemPipeline executes the pipeline by converting it to a series of Spark pipelines

C. MapReduce framework approach makes it easy for the framework to serialize data from the client to the cluster

D. All of the mentioned

A. MPP

B. BSP

C. USP

D. ISP

A. Collector Tier Event

B. Agent Tier Event

C. Basic

D. All of the mentioned