Download PTU M.Tech. CSE 2nd Semester 51091 FUNDAMENTALS OF BIG DATA ANALYTICS Question Paper

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Total No. of Pages : 01

Total No. of Questions : 08

M.Tech (CSE Engg.) Big Data (Campus) (Sem.-2)

FUNDAMENTALS OF BIG DATA ANALYTICS

Subject Code : CSB-211

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M.Code: 51091

Time: 3 Hrs.

Max. Marks : 60

INSTRUCTIONS TO CANDIDATES :

1. Attempt any FIVE questions out of EIGHT questions.

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2. Each question carries TWELVE marks.

Q1 What is the role of data scientist? Explain the skills needed for data scientist.

Q2

1. Explain the industry applications of big data analytics.
2. Discuss the main phases of data analytics lifecycle.

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Q3 How advanced SQL is beneficial for solving Queries in Big Data? Give Example.

Q4 What is the role of MapReduce? Write the key features of MapReduce to analyze unstructured data.

Q5 Write short notes on following :

1. Hadoop
2. NoSQL

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Q6 Define Clustering. Explain how K-Means clustering is used for cluster analysis in Big Data?

Q7 What is naive Bayesian classification in Big Data? How it is used for statistical modelling?

Q8 What is R data analysis? Discuss the basic components of R? Why Data Exploration is a crucial stage of predictive model?

NOTE : Disclosure of Identity by writing Mobile No. or Making of passing request on any page of Answer Sheet will lead to UMC against the Student.

1| M-51091

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