Exam Details
Subject | big data analytics | |
Paper | paper 3 | |
Exam / Course | mca | |
Department | ||
Organization | rayalaseema university | |
Position | ||
Exam Date | February, 2018 | |
City, State | andhra pradesh, kurnool |
Question Paper
M.C.A. (TWO YEAR) DEGREE EXAMINATION, APRIL/MAY 2018.
Fourth Semester
Paper III BIG DATA ANALYTICS
2 90243-A
Time 3 Hours Max. Marks 70
SECTION — A
Answer any FIVE questions. 6 30 Marks)
Each question carries 6 Marks.
1. Write short notes on distributed file system.
2. What are the four in Big data?
3. What is a map and specify the various map implementations?
4. Explain the Hadoop Eco System.
5. How a secondary name node differs from the name node in HDFS?
6. What is the role of task trackers?
7. Explain the map-Reduce tasks.
8. What is HDFS federation?
SECTION — B
Answer ONE question from each unit. 10 40 Marks)
Each question carries 10 Marks.
UNIT-I
9. List out the applications of Big Data.
Or
Explain the matrix-vector multiplication by Map Reduce.
UNIT- II
10. What is AapacheHadoop and explain how it works?
Or
Explain the concept of data serialization.
UNIT- III
11. Explain the hadoop Map-Reduce paradigm.
Or
Describe HDFS monitoring and maintenance.
UNIT- IV
12. Discuss the new features in Hadoop 2.0.
Or
Explain the running of MRv1 in YARN.
———————
Fourth Semester
Paper III BIG DATA ANALYTICS
2 90243-A
Time 3 Hours Max. Marks 70
SECTION — A
Answer any FIVE questions. 6 30 Marks)
Each question carries 6 Marks.
1. Write short notes on distributed file system.
2. What are the four in Big data?
3. What is a map and specify the various map implementations?
4. Explain the Hadoop Eco System.
5. How a secondary name node differs from the name node in HDFS?
6. What is the role of task trackers?
7. Explain the map-Reduce tasks.
8. What is HDFS federation?
SECTION — B
Answer ONE question from each unit. 10 40 Marks)
Each question carries 10 Marks.
UNIT-I
9. List out the applications of Big Data.
Or
Explain the matrix-vector multiplication by Map Reduce.
UNIT- II
10. What is AapacheHadoop and explain how it works?
Or
Explain the concept of data serialization.
UNIT- III
11. Explain the hadoop Map-Reduce paradigm.
Or
Describe HDFS monitoring and maintenance.
UNIT- IV
12. Discuss the new features in Hadoop 2.0.
Or
Explain the running of MRv1 in YARN.
———————
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