Organisation : Chaitanya Bharathi Institute Of Technology
Exam Name : B.E / B.Tech Question Papers
Document Type : Question Paper
Year : 2023-2024
Website : https://www.cbit.ac.in/current_students/academic-year-2023-2024-question-papers/
CBIT B.E / B.Tech Question Papers
Time: 3 Hours
Max Marks: 60
Note: Answer ALL questions from Part-A & Part –B (Internal Choice) at one place in the same order
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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
Note: Answer ALL questions from Part-A & Part –B (Internal Choice) at one place in the same order
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