STES’s Smt.
Kashibai Navale College of Engineering, Pune
Department of Computer Engineering
Prelim Examination 2024-25 Sem-II
Subject : Honour _DS_Artificial Intelligence for Big Data Mining Class : B.E.COMPUTER
Marks: 70 Time: 2 Hours Date:25/4/25
Note: (i) Solve four questions (ii) Neat diagrams must be drawn wherever necessary.
(iii) Figures to the right indicate full marks.
Q. No CO Question BT Marks
level
Q1 A) CO4 Explain feed forward neural networks with examples? 2 8
B) CO4 Differentiate between linear models and non-linear model. 4 9
OR
Q2 A) CO4 Definition of Neural Networks. Explain Characteristics of Neural Network 2 8
B) CO4 Explain Gradient descent and backpropagation. 2 9
Q3 A) CO5 Explain Hadoop Ecosystem in details with Diagram 2 9
B) CO5 What is Pyspark? Describe its Characteristic and features 1 9
OR
Q4 A) CO5 Explain HDFS in detail with Advantages and Disadvantages. 4 9
B) CO5 Explain a Cost Function in Feedforward Neural Network 1 9
STES’s Smt. Kashibai Navale College of Engineering, Pune
Department of Computer Engineering
Prelim Examination 2024-25 Sem-II
Subject : Honour _DS_Artificial Intelligence for Big Data Mining Class : B.E.COMPUTER
Marks: 70 Time: 2 Hours Date:25/4/25
Note: (i) Solve four questions (ii) Neat diagrams must be drawn wherever necessary.
(iii) Figures to the right indicate full marks.
Q. No CO Question BT Marks
level
Q1 A) CO4 Explain feed forward neural networks with examples? 2 8
B) CO4 Differentiate between linear models and non-linear model. 4 9
OR
Q2 A) CO4 Definition of Neural Networks. Explain Characteristics of Neural Network 2 8
B) CO4 Explain Gradient descent and backpropagation. 2 9
Q3 A) CO5 Explain Hadoop Ecosystem in details with Diagram 2 9
B) CO5 What is Pyspark? Describe its Characteristic and features 1 9
OR
Q4 A) CO5 Explain HDFS in detail with Advantages and Disadvantages. 4 9
B) CO5 Explain a Cost Function in Feedforward Neural Network 1 9
Q. No CO Question BT Marks
level
Q5 A) CO5 Write a short note on Data ingestion and Data Mining 2 8
B) CO5 What is Data warehousing and mining? Explain in detail 2 9
OR
Q6 A) CO5 What is Scalable machine learning? Explain with example. 4 8
B) CO5 Explain Data analysis using Hive in detail 2 9
Q7 A) CO6 Explain General steps image pre-processing? Explain its Features 2
B) CO6 Explain feature extraction of Computer Vision with Example. 2 9
OR
Q8 A) CO6 Describe Natural language processing steps in detail? 2 OR
B) CO6 What is NLP? Explain NLP techniques. 2 9
**********All the Best**********
Q. No CO Question BT Marks
level
Q5 A) CO5 Write a short note on Data ingestion and Data Mining 2 8
B) CO5 What is Data warehousing and mining? Explain in detail 2 9
OR
Q6 A) CO5 What is Scalable machine learning? Explain with example. 4 8
B) CO5 Explain Data analysis using Hive in detail 2 9
Q7 A) CO6 Explain General steps image pre-processing? Explain its Features 2 9
B) CO6 Explain feature extraction of Computer Vision with Example. 2 9
OR
Q8 A) CO6 Describe Natural language processing steps in detail? 2 9
B) CO6 What is NLP? Explain NLP techniques. 4 9
**********All the Best**********
