NPTEL Big Data Computing Assignment 5 Answer
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NPTEL Big Data Computing Assignment 5 Answer – Here All The Questions and Answers Provided to Help All The Students and NPTEL Candidate as a Reference Purpose, It is Mandetory to Submit Your Weekly Assignment By Your Own Understand Level.
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NPTEL Big Data Computing Assignment
In today’s fast-paced digital world , the incredible amount of data being generated every minute has grown tremendously from sensors used to gather climate information, posts to social media sites, digital pictures and videos, purchase transaction records, and GPS signals from cell phone to name a few. This amount of large data with different velocities and varieties is termed as big data and its analytics enables professionals to convert extensive data through statistical and quantitative analysis into powerful insights that can drive efficient decisions. This course provides an in-depth understanding of terminologies and the core concepts behind big data problems, applications, systems and the techniques, that underlie today’s big data computing technologies. It provides an introduction to some of the most common frameworks such as Apache Spark, Hadoop, MapReduce, Large scale data storage technologies such as in-memory key/value storage systems, NoSQL distributed databases, Apache Cassandra, HBase and Big Data Streaming Platforms such as Apache Spark Streaming, Apache Kafka Streams that has made big data analysis easier and more accessible. And while discussing the concepts and techniques, we will also look at various applications of Big Data Analytics using Machine Learning, Deep Learning, Graph Processing and many others. The course is suitable for all UG/PG students and practicing engineers/ scientists from the diverse fields and interested in learning about the novel cutting edge techniques and applications of Big Data Computing.
Next Week Assignment Answers
This course can have Associate in Nursing unproctored programming communication conjointly excluding the Proctored communication, please check announcement section for date and time. The programming communication can have a weightage of twenty fifth towards the ultimate score.
- Assignment score = 25% of average of best 8 assignments out of the total 12 assignments given in the course.
- ( All assignments in a particular week will be counted towards final scoring – quizzes and programming assignments).Â
- Unproctored programming exam score = 25% of the average scores obtained as part of Unproctored programming exam – out of 100
- Proctored Exam score =50% of the proctored certification exam score out of 100
UNPROCTORED PROGRAMMING EXAM SCORE >=10/25 AND PROCTORED EXAM SCORE >= 20/50.Â
CHECK HERE OTHERS NPTEL ASSIGNMENTS ANSWERSÂ
BELOW YOU CAN GET YOUR NPTEL Big Data Computing Assignment 5 Answer 2022? :
Q1. True or False ?
Apache HBase is a column-oriented, NoSQL database designed to operate on top of the Hadoop distributed file system (HDFS).
True
False
Ans – A
Q.2. A small chunk of data residing in one machine which is part of a cluster of machines holding one HBase table is known as
Rowarea
Tablearea
Region
Split
Ans – C
NPTEL Big Data Computing Week 6 Assignment 6 Answers 👇
Q.3. In HBase what is the number of MemStore per column family?
1
2
3
Equal to as many columns in the course family.
Ans – A
Q.4. In HBase ___ is a combination of row, column family, column qualifier and contains a value and a timestamp.
Stores
HMaster
Region Server
Cell
Ans – D
Q.5. HBase architecture has 3 main components
Client, Column family, Region Server
HMaster, Region Server, Zookeeper
Cell, Rowkey, Stores
HMaster, Stores, Region Server
Ans – B
Q.6. True or False?
Kafka is a high performance, real time messaging system. It is an open source tool and is a part of Apache projects.
True
False
Ans – A
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Q.7. Kafka maintains feeds of messages in categories called __
Chunks
Domains
Messages
Topics
Ans – D
Q.8. True or False ?
Statement 1: Batch Processing provides ability to process and analyze data at-rest (stored data)
Statement 2: Stream Processing provides ability to ingest, process and analyze data in-motion in real or near-real-time.
Only Statement 1 is true
Only Statement 2 is true
Both Statements are true.
Both Statements are False.
Ans – C
Q.9. What exactly Kafka key capabilities?
Publish and subscribe to streams of records, similar to a message queue or enterprise messaging system
Store streams of records in a fault-tolerant durable way
Process streams of records as they occur
All of the mentioned
Ans – D
Q.10. ___ is a framework to import event streams from other source data systems into Kafka and export event streams from Kafka to destination data systems.
Kafka Core
Kafka Connect
Kalka Streams
None of the mentioned
Ans – B
Q.11. ___ is a central hub to transport and store event streams in real time.
Kafka Core
Kafka Connect
Kafka Streams
None of the mentioned
Ans – A
Q.12. __ is a Java library to process event streams live as they occur.
Kafka Core
Kafka Connect
Kafka Streams
None of the mentioned
Ans – C
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