Download PTU B.Tech 2020 March CSE-IT 7th and 8th Sem BTCS 908 Business Intelligence Question Paper

Download PTU (I.K. Gujral Punjab Technical University Jalandhar (IKGPTU) ) BE/BTech CSE/IT (Computer Science And Engineering/ Information Technology) 2020 March 7th and 8th Sem BTCS 908 Business Intelligence Previous Question Paper

1 | M - 7 1 9 0 0 ( S 2 ) - 5 5 8
Roll No. Total No. of Pages : 02
Total No. of Questions : 18
B.Tech.(CSE/IT) (2012 to 2017 E-II) (Sem.?7,8)
BUSINESS INTELLIGENCE
Subject Code : BTCS-908
M.Code : 71900
Time : 3 Hrs. Max. Marks : 60
INSTRUCTION TO CANDIDATES :
1. SECTION-A is COMPULSORY consisting of TEN questions carrying TWO marks
each.
2. SECTION-B contains FIVE questions carrying FIVE marks each and students
have to attempt any FOUR questions.
3. SECTION-C contains THREE questions carrying TEN marks each and students
have to attempt any TWO questions.

SECTION-A
Define the following :
1) OLTP
2) Applications of BI
3) Data Cleaning
4) Data Transformation
5) Data Profiling
6) OLAP
7) Fact
8) Attributes
9) Business Metrices
10) BI Process

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1 | M - 7 1 9 0 0 ( S 2 ) - 5 5 8
Roll No. Total No. of Pages : 02
Total No. of Questions : 18
B.Tech.(CSE/IT) (2012 to 2017 E-II) (Sem.?7,8)
BUSINESS INTELLIGENCE
Subject Code : BTCS-908
M.Code : 71900
Time : 3 Hrs. Max. Marks : 60
INSTRUCTION TO CANDIDATES :
1. SECTION-A is COMPULSORY consisting of TEN questions carrying TWO marks
each.
2. SECTION-B contains FIVE questions carrying FIVE marks each and students
have to attempt any FOUR questions.
3. SECTION-C contains THREE questions carrying TEN marks each and students
have to attempt any TWO questions.

SECTION-A
Define the following :
1) OLTP
2) Applications of BI
3) Data Cleaning
4) Data Transformation
5) Data Profiling
6) OLAP
7) Fact
8) Attributes
9) Business Metrices
10) BI Process

2 | M - 7 1 9 0 0 ( S 2 ) - 5 5 8
SECTION-B
11) Differentiate between clustering and classification.
12) What is Data Integration? Also explain its advantages.
13) Discuss in detail the architecture of data warehouse.
14) What are the data models? Differentiate between them.
15) Describe the Bayesian classification method.

SECTION-C
16) Explain the KDD process in detail.
17) Explain data cubes and its operations in detail.
18) Write a note on enterprising reporting and balances scorecards.








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