ExamVeda
Login
Home

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

Learn Realtime Processing with Apache Spark MCQ Questions and answers with easy and logical explanations in hadoop. Realtime Processing with Apache Spark MCQ question provides all type of technical mcq questions which is important for technical exams, campus exams and other entrance examination. Page-6 section-2

Each section contains 100 MCQs on Realtime Processing with Apache Spark .
51
Spark is engineered from the bottom-up for performance, running . . . . . . . . faster than Hadoop by exploiting in memory computing and other optimizations.
Discuss
Answer & Solution
Answer: Option A
No explanation is given for this question. Let's Discuss on Board
52
For . . . . . . . . partitioning jobs, simply specifying a custom directory is not good enough.
Discuss
Answer & Solution
Answer: Option C
No explanation is given for this question. Let's Discuss on Board
53
All file access uses Java's . . . . . . . . APIs which give Lucene stronger index safety.
Discuss
Answer & Solution
Answer: Option A
No explanation is given for this question. Let's Discuss on Board
54
. . . . . . . . includes Apache Drill as part of the Hadoop distribution.
Discuss
Answer & Solution
Answer: Option B
No explanation is given for this question. Let's Discuss on Board
55
Hama was inspired by Google's . . . . . . . . large-scale graph computing framework.
Discuss
Answer & Solution
Answer: Option B
No explanation is given for this question. Let's Discuss on Board
56
A . . . . . . . . represents a distributed, immutable collection of elements of type T.
Discuss
Answer & Solution
Answer: Option B
No explanation is given for this question. Let's Discuss on Board
57
MapR . . . . . . . . Solution Earns Highest Score in Gigaom Research Data Warehouse Interoperability Report.
Discuss
Answer & Solution
Answer: Option A
No explanation is given for this question. Let's Discuss on Board
58
Crunch uses Java serialization to serialize the contents of all of the . . . . . . . . in a pipeline definition.
Discuss
Answer & Solution
Answer: Option B
No explanation is given for this question. Let's Discuss on Board
59
For Scala users, there is the . . . . . . . . API, which is built on top of the Java APIs.
Discuss
Answer & Solution
Answer: Option B
No explanation is given for this question. Let's Discuss on Board
60
. . . . . . . . property allows us to specify a custom dir location pattern for all the writes, and will interpolate each variable.
Discuss
Answer & Solution
Answer: Option A
No explanation is given for this question. Let's Discuss on Board