21101367
QP CODE: 21101367 Reg No : .....................
Name : .....................
B.Sc DEGREE (CBCS) EXAMINATION, APRIL 2021
Sixth Semester
B.Sc Computer Science Model III
CORE - CC6CRT07 - BIG DATA : ANALYTICS
2017 Admission Onwards
F84A884D
Time: 3 Hours Max. Marks : 80
Part A
Answer any ten questions.
Each question carries 2 marks.
1. What are the categoriess of big data?
2. What do you mean by intelligent data analysis?
3. What is random variable?
4. What is filtering
5. Define moments of streams.
6. Define decaying windows.
7. Write about Hadoop Streaming.
8. What is the difference between Namenode and Datanode?
9. Identify the purpose of expunge utility.
10. Illustrate the commands to enter and exit safe mode in HDFS.
11. Define stream.
12. Why data visualizing is important?
(10×2=20)
Part B
Answer any six questions.
Each question carries 5 marks.
13. What are the requirements for data analysis process?
Page 1/2 Turn Over
QP CODE: 21101367 Reg No : .....................
Name : .....................
B.Sc DEGREE (CBCS) EXAMINATION, APRIL 2021
Sixth Semester
B.Sc Computer Science Model III
CORE - CC6CRT07 - BIG DATA : ANALYTICS
2017 Admission Onwards
F84A884D
Time: 3 Hours Max. Marks : 80
Part A
Answer any ten questions.
Each question carries 2 marks.
1. What are the categoriess of big data?
2. What do you mean by intelligent data analysis?
3. What is random variable?
4. What is filtering
5. Define moments of streams.
6. Define decaying windows.
7. Write about Hadoop Streaming.
8. What is the difference between Namenode and Datanode?
9. Identify the purpose of expunge utility.
10. Illustrate the commands to enter and exit safe mode in HDFS.
11. Define stream.
12. Why data visualizing is important?
(10×2=20)
Part B
Answer any six questions.
Each question carries 5 marks.
13. What are the requirements for data analysis process?
Page 1/2 Turn Over
