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# CBIT B.E / B.Tech Question Papers : Chaitanya Bharathi Institute Of Technology

** Organisation **: Chaitanya Bharathi Institute Of Technology

**: B.E / B.Tech Question Papers**

__Exam Name__**: Question Paper**

__Document Type__**: 2023-2024**

__Year__**: https://www.cbit.ac.in/current_students/academic-year-2023-2024-question-papers/**

__Website__## CBIT B.E / B.Tech Question Papers

** Time**: 3 Hours

**: 60**

__Max Marks__**: Answer ALL questions from Part-A & Part –B (Internal Choice) at one place in the same order**

__Note__

Related / Similar Question Paper: Goa Public Service Commission Question Paper Block Development Officer BDO

## Big Data Analytics Question Paper

Part – A (5Q X 3M = 15 Marks) M CO BT

1 Define Hadoop File system. (3) 1 1

2 Summarize the Data Processing Operators. (3) 2 2

3 What is Apache Spark? (3) 3 1

4 Classify between Big Data and SQL. (3) 4 2

5 List the features of NoSql. (3) 5 1

Part – B (5Q X 9M = 45 Marks) M CO BT

6 (a) What are the main components of big data HDFS? Explain in detail. (5) 1 2

(b) List out the anatomy of a File Read and Write in HDFS. (4) 1 4

(OR)

7 (a) How to run a Map Reduce program from a script file? Explain. (5) 1 2

(b) Illustrate the steps to develop a Map Reduce application. (4) 1 2

8 (a) Construct HIVE architecture with a neat diagram. (5) 2 3

(b) Demonstrate the necessity of PIG Latin. (4) 2 2

(OR)

9 (a) What are HIVE Commands? Explain. (5) 2 2

(b) Illustrate the steps of installing and running PIG. (4) 2 2

10 (a) Identify the role of driver program in Spark. (5) 3 3

(b) Classify about Data frames and Dataset in Spark. (4) 3 2

(OR)

11 (a) Show the basic architecture of Spark. (5) 3 2

(b) List out few R packages? (4) 3 1

12 (a) Distinguish between HIVE and Spark SQL. (5) 4 4

(b) Explain about Piped RDDs. (4) 4 2

(OR)

13 (a) What is a catalog view in SQL server? Explain. (5) 4 2

(b) What is Spark Transformation? Explain. (4) 4 2

14 (a) Analyse the working mechanism of MongoDB. (5) 5 4

(b) Explain about CAP theorem. (4) 5 2

(OR)

15 (a) Identify the process of sorting documents in Mongo DB? Illustrate with example? (5) 5 3

(b) Illustrate Columnar Database with an example. (4) 5 3

## Business Intelligence Question Paper

** Time**: 3 Hours Max Marks: 60

**: Answer ALL questions from Part-A & Part –B (Internal Choice) at one place in the same order**

__Note__Part – A (5Q X 3M = 15 Marks) M CO BT

1 Define Business Intelligence? List out BI Concepts. (3) 1 1

2 Mention various regressions methods for data science. (3) 2 2

3 How do you define a system, and what are its key characteristics? (3) 3 1

4 List the various types of dashboards. (3) 4 1

5 What is Supply chain optimization? (3) 5 1

Part – B (5Q X 9M = 45 Marks) M CO BT

6 (a) What is the fundamental objective of the BI process in an organization? (5) 1 1

(b) How can organizations ensure that data they collect and analyze is obtained ethically and respects individuals privacy rights? (4) 1 2

(OR)

7 (a) Explain any one application of BI in detail. (4) 1 2

(b) What is BI architecture, and why is it essential in the context of data driven decision-making? (5) 1 1

8 (a) Name some popular data analysis tools used for exploring and summarizing datasets. (5) 2 2

(b) How do data scientist decide which algorithms to use for a specific data analysis task? (4) 2 3

(OR)

9 (a) Use an Excel dataset of your choice (eg., sales data, test scores) and create a histogram to visualize the data distribution using R. (5) 2 3

(b) Why is coding an essential skill for data scientists? (4) 2 2

10 (a) How has the evolution of technology influenced the development of information systems? (5) 3 1

(b) What are mathematical models, and how do they contribute to decision making in a Decision Support System (DSS)? (4) 3 2

(OR)

11 (a) Provide examples of how different decision scenarios can be modeled and presented. (5) 3 3

(b) Describe steps to develop DSS. (4) 3 2

12 (a) How does data visualization contribute to better decision-making in various fields? (5) 4 2

(b) Discuss common pitfalls of dashboard design. (4) 4 2

(OR)

13 (a) How does an Enterprise dashboard differ from other types of dashboards? (5) 4 1

(b) Explain the role of KPIs in dashboards and their significance in data visualization. (4) 4 2

14 (a) What is the CCR model in Data Envelopment Analysis (DEA), and how does it contribute to business analysis and performance evaluation? (5) 5 1

(b) Explain the concept of life cycle of a customer in CRM model. (4) 5 1

(OR)

15 (a) How do optimization models play a crucial role in logistics planning for business? Provide examples of specific optimization techniques and explain how they can be applied to improve efficiency and cost- effectiveness in logistics operations. (5) 5 3

b) How can BI tools and techniques be used to analyze market trends and benchmark a company’s performance against competitors? (4) 5 2

## Neural Networks and Fuzzy Logic Question Paper

Part – A (5Q X 3M = 15 Marks) M CO BT

1 Sketch the neat diagram of Mcculloh Pitts Neuron. (3) 1 2

2 What is Exploding gradient Problem? (3) 2 2

3 State the different types of Control Chart Pattern. (3) 3 1

4 If I= {(x1,0.2), (x2,0.6)} and F={(x1,0.7), (x2,0.3)} Find the Cross Product of both the fuzzy sets. (3) 4 3

5 Differentiate Fuzzy and Math Controllers. (3) 5 2

Part – B (5Q X 9M = 45 Marks) M CO BT

6 (a) Explain the Different types of Neural Networks with suitable applications. (7) 1 1

(b) Give two Applications of Neural Networks. (2) 1 2

(OR)

7 Implement XOR function Using Madaline Network with bipolar inputs and Targets for 1 epoch. (9) 1 3

8 Explain the Neural network architecture of Fuzzy Artmap. (9) 2 1

(OR)

9 Explain the Use of Back Propagation in Recurrent Neural networks. Perform the analysis with respect to time. (9) 2 2

10 Explain the Pattern recognition using Control chart patterns in Industries. Also Specify the Type of Control patterns. (9) 3 2

(OR)

11 Explain the steps involved in the Control chart pattern recognition using Correlation measure and Space Vector Machine methods. (9) 3 2

12 (a) Consider the fuzzy Sets A = {(y1,0.6), (y2,0.5), (y3,0.1)} B = {(y1,0.5), (y2,0.1), (y3,0.4)} Perform the following Operations

(i) AXB (ii) A.B

(ii) Demorgan’s Law (iv) Disjunctive Sum (5) 4 3

(b) State the various Properties of Fuzzy sets. (4) 4 3

(OR)

13 Consider the fuzzy Sets A = {(z1,0.8), (z2,0.5), (z3,0.2)} B = {(z1,0.2), (z2,0.8), (z3,0.6)} Perform the following Operations

(i) Union of two fuzzy sets (ii) Intersection of two fuzzy sets

(iii) Complement of Fuzzy set A (iv) Product of two fuzzy sets

(v) is both fuzzy set equal (vi) Difference

(viii) Disjunctive Sum. (9) 4 3

14 (a) Write short notes about Fuzzified CMAC and RBF. (4) 5 2

(b) With neat sketch explain any one Fuzzy Controller. (5) 5 2

(OR)

15 With a suitable example, explain the Real Time Target Tracking using a Fuzzy logic controller for real time applications. (9) 5 1