Storm For Big Data Set 2
Free Online Best Storm For Big Data MCQ Questions for improve your basic knowledge of Storm For Big Data. This Storm For Big Data set 2 test that contains 25 Multiple Choice Questions with 4 options. You have to select the right answer to a question.
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Question 1 |
Storm integrates with __________ via Apache Slider
A | Scheduler |
B | YARN |
C | Compaction |
D | All of the above |
Question 2 |
Which of the following are the core components of Hadoop?
A | HDFS |
B | Map Reduce |
C | HBase |
D | both a and c |
Question 3 |
Point out the correct statement____
A | A Storm topology consumes streams of data and processes those streams in arbitrarily complex ways |
B | Apache Storm is a free and open source distributed real-time computation system |
C | Storm integrates with the queueing and database technologies you already use |
D | All of the above |
Question 4 |
What does commodity Hardware in Hadoop world mean?
A | Very cheap hardware |
B | Industry standard hardware |
C | Discarded hardware |
D | Low specifications Industry grade hardware |
Question 5 |
____________ communicates with Nimbus through Zookeeper, starts and stops workers according to signals from Nimbus
A | Zookeeper |
B | Nimbus |
C | Supervisor |
D | None of the above |
Question 6 |
____________ is a distributed real-time computation system for processing large volumes of high-velocity data.
A | Kafka |
B | Storm |
C | Lucene |
D | BigTop |
Question 7 |
Which of the following are NOT big data problem(s)?
A | Parsing 5 MB XML file every 5 minutes |
B | Processing IPL tweet sentiments |
C | Processing online bank transactions |
D | both A and C |
Question 8 |
__________ node distributes code across the cluster
A | Zookeeper |
B | Nimbus |
C | Supervisor |
D | None of the above |
Question 9 |
____________ communicates with Nimbus through Zookeeper, starts and stops workers according to signals from Nimbus
A | Nimbus |
B | Zookeeper |
C | Supervisor |
D | All of the above |
Question 10 |
Sliding window operations typically fall in the category of__________________
A | OLTP Transactions |
B | Big Data Batch Processing |
C | Big Data Real Time Processing |
D | Small Batch Processing |
Question 11 |
What is Hive used as?
A | Hadoop query engine |
B | MapReduce wrapper |
C | Hadoop SQL interface |
D | All of the above |
Question 12 |
Storm is benchmarked as processing one million _______ byte messages per second per node
A | 10 |
B | 50 |
C | 100 |
D | 200 |
Question 13 |
What does “Velocity” in Big Data mean?
A | Speed of input data generation |
B | Speed of individual machine processors |
C | Speed of ONLY storing data |
D | Speed of storing and processing data |
Question 14 |
Hive can be used for real time queries?
A | TRUE |
B | FALSE |
C | True if data set is small |
D | True for some distributions |
Question 15 |
Which of the following are example(s) of Real Time Big Data Processing?
A | Complex Event Processing (CEP) platforms |
B | Stock market data analysis |
C | Bank fraud transactions detection |
D | both a and c |
Question 16 |
The term Big Data first originated from____
A | Stock Markets Domain |
B | Banking and Finance Domain |
C | Genomics and Astronomy Domain |
D | Social Media Domain |
Question 17 |
Point out the wrong statement____
A | Storm is difficult and can be used with only Java |
B | Storm is fast: a benchmark clocked it at over a million tuples processed per second per node |
C | Storm is scalable, fault-tolerant, guarantees your data will be processed |
D | All of the above |
Question 18 |
Apache Storm added open source, stream data processing to _________ Data Platform
A | Cloudera |
B | Hortonworks |
C | Local Cloudera |
D | MapR |
Question 19 |
How many types of nodes are present in Storm cluster?
A | 1 |
B | 2 |
C | 3 |
D | 4 |
Question 20 |
What are the steps involved in Installation and Configuration of Apache Storm?
A | Choosing the Storm Version |
B | OS Selection |
C | Machine Selection |
D | All of the above |
Question 21 |
What is the default HDFS block size?
A | 32 MB |
B | 64 KB |
C | 128 KB |
D | 64 MB |
Question 22 |
What is HBase used as?
A | Tool for Random and Fast Read/Write operations in Hadoop |
B | Faster Read only query engine in Hadoop |
C | MapReduce alternative in Hadoop |
D | Fast MapReduce layer in Hadoop |
Question 23 |
For Apache __________ users, Storm utilizes the same ODBC interface
A | cTakes |
B | Hive |
C | Pig |
D | Oozie |
Question 24 |
Which of the following Batch Processing instance is NOT an example of
BigData Batch Processing?
A | Processing 10 GB sales data every 6 hours |
B | Processing flights sensor data |
C | Web crawling app |
D | Trending topic analysis of tweets for last 15 minutes |
Question 25 |
Which of the following are NOT true for Hadoop?
A | It’s a tool for Big Data analysis |
B | It supports structured and unstructured data analysis |
C | It aims for vertical scaling out/in scenarios |
D | both a and c |
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