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JNTU B.Tech IV DATA ANALYTICS Previous Question Paper (July - 2023 - R16)

B.Tech | IV | II | R16 | July - 2023

Answer PaperPaper Code: 138FUMaximum Marks: 75Time: 3 Hours

Note: i) Question paper consists of Part A, Part B. ii) Part A is compulsory, which carries 25 marks. In Part A, Answer all questions. iii) In Part B, Answer any one question from each unit. Each question carries 10 marks and may have a, b as sub questions.

Part A

1a

List the Elements of Data Architecture.

2 marks

Answer

The core elements of data architecture include:

  • Data Strategy: Defining the vision and alignment with business goals.
  • Data Governance: Establishing policies, standards, and security protocols for data management.
  • Data Integration: The processes and tools used to combine data from disparate sources.
  • Data Modeling: Creating conceptual, logical, and physical representations of data structures.
  • Data Storage and Infrastructure: The selection of databases, data warehouses, or data lakes to house information.
1b

Which source of Data is more reliable and why?

3 marks

Answer

Primary data is considered more reliable than secondary data. This is because primary data is collected directly by the researcher for a specific purpose, ensuring that the methodology, data quality, and relevance are controlled and tailored to the current investigation.

In contrast, secondary data is collected by someone else for a different objective, which may lead to issues regarding outdated information, lack of context, or misalignment with the specific requirements of the current analysis. Since the origin and collection process of primary data are transparent and verified, it provides a higher level of accuracy and authenticity for decision-making.

1c

Outline the Data Analytics techniques.

2 marks

Answer

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1d

What is the difference between Spark, Scala and Impala?

3 marks

Answer

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1e

What is Model Theory?

2 marks

Answer

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1f

List the BLUE property assumptions.

3 marks

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1g

What are the methods to measure Forecast accuracy?

2 marks

Answer

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1h

Write about multiple decision tree.

3 marks

Answer

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1i

Define data visualization.

2 marks

Answer

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1j

List out data visualization applications in finance?

3 marks

Answer

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Part B

210 marks
a

List and explain about the Sources of generating Secondary Data.

5 marks

Answer

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b

What is an outlier in data set? Illustrate how to detect and remove outliers.

5 marks

Answer

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OR
310 marks
a

Discuss about Characteristics of effective Data Architecture.

5 marks

Answer

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b

Illustrate techniques of missing values treatment.

5 marks

Answer

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410 marks
a

Explain the application of modeling in business and Elaborate any one.

5 marks

Answer

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b

Explain how Key-Value and Column Oriented databases address the volume of the data and the scalability.

5 marks

Answer

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OR
510 marks
a

Define Data Analytics. Give are the applications of Analytics.

5 marks

Answer

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b

Illustrate the Model-Based Techniques for dealing with Missing Data with suitable examples.

5 marks

Answer

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6

Demonstrate linear regression with suitable example.

10 marks

Answer

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OR
710 marks
a

Explain Logistic Regression model and analyze Best Fit Statistics with example.

5 marks

Answer

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b

Explain briefly about variable rationalization in Regression modeling.

5 marks

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810 marks
a

What is Overfitting? Why Overfitting happens? Give its Preventing techniques?

5 marks

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b

Discuss in detail about STL approach.

5 marks

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OR
910 marks
a

Compare and contrast between Supervised and unsupervised Learning.

5 marks

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b

Discuss about Univariate Non-Stationary Processes and its forecast.

5 marks

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1010 marks
a

Discuss briefly about Icon based Visualization Techniques.

5 marks

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b

Discuss about visualizing the complex data and relations.

5 marks

Answer

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OR
11

List and explain the steps in Data Visualization in Tableau.

10 marks

Answer

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