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{Week 1} Business Intelligence & Analytics NPTEL Assignment Answers 2025

By / January 29, 2025

NPTEL Business Intelligence & Analytics Week 1 Assignment Answers 2025

1. What does KDD stand for in the context of data mining?

  • Key Data Development
  • Knowledge Discovery from Data
  • Knowledge Data Design
  • Key Data Distribution
Answer :- b

2. Which of the following does NOT belong to the data preparation phase?

  • Data cleaning
  • Data integration
  • Data visualization
  • Data selection
Answer :- c

3. Which type of data is specifically classified as unstructured?

  • A table of employee records with defined columns.
  • Free-text comments collected from customer surveys.
  • Data logged in sequential order with timestamps.
  • Numerical data organized in a consistent matrix.
Answer :- b

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[Week 1-12] NPTEL Business Intelligence & Analytics Assignment Answers 2025

[Week 1-12] NPTEL Business Intelligence & Analytics Assignment Answers 2025

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[Week 1-12] NPTEL Business Intelligence & Analytics Assignment Answers 2024

[Week 1-12] NPTEL Business Intelligence & Analytics Assignment Answers 2024

Original price was: ₹299.00.Current price is: ₹99.00.
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4. In real world applications, data can often be a mixture of:

  • Only structured data
  • Only unstructured data
  • Structured, semistructured, and unstructured data
  • Structured and unorganized data
Answer :- For Answer Click Here

5. A car company has collected sales data, customer feedback, and production reports over the past five years in various formats. To analyze total sales by region and model across this period, the data must undergo ______________ to consolidate, aggregate, and restructure it for meaningful analysis.

  • Data integration
  • Data normalization
  • Data transformation
  • Data cleaning
Answer :-

6. Which of the following is an example of how online platforms like Amazon enhance the long tail phenomenon discussed in the lecture?

  • Offering only best-selling items in stock.
  • Providing recommendations for less popular books based on user preferences.
  • Limiting the variety of products available for faster shipping.
  • Only stocking products that have been successful in physical stores.
Answer :- For Answer Click Here

7. As discussed in the lecture, in the context of analytics, which of the following terms best represent to “DSS”?

  • Data Storage Systems
  • Digital Software Solutions
  • Decision Support Systems
  • Data Security Services
Answer :-

8. What does ETL stand for in the context of data management?

  • Extract, Transform, Load
  • Evaluate, Transfer, Load
  • Extract, Test, Load
  • Evaluate, Transform, Load
Answer :-

9. As discussed in the lecture, which of the following terms is NOT usually associated with the vocabulary of analytics?

  • Data Warehousing
  • Data Governance
  • Online Analytical Processing (OLAP)
  • Knowledge Discovery in Databases (KDD)
Answer :-

10. What is an outlier in a data set?

  • A data object that conforms to the general behavior of the data.
  • A data object that does not comply with the general behavior or model of the data
  • A common occurrence within the data set.
  • A data point that represents average behavior.
Answer :- For Answer Click Here

11. Which of the following is an example of supervised learning?

  • Grouping data points into clusters based on inherent similarities.
  • Diagnosing diseases based on labeled medical data.
  • Discovering patterns in data without predefined categories.
  • Organizing items into groups based on unknown attributes
Answer :-

12. What is the primary function of a data warehouse?

  • Increases the security of data
  • Integrates data from multiple sources
  • Optimizes search engine results
  • Analyzes data in real-time
Answer :-

13. In the context of business intelligence, what is the role of clustering?

  • To create data warehouses
  • To group customers based on their similarities
  • To enhance data visualization
  • To manage real-time data
Answer :-

14. How does data mining contribute to business intelligence?

  • By transforming raw data into meaningful information
  • By providing insights from historical and current data
  • By ensuring the security of sensitive data
  • By automating data storage processes
Answer :-

15. In the context of data mining, which of the following best describes the nature of relational databases?

  • They store highly structured data with predefined attributes and semantic meaning
  • They store unstructured data such as images, audio, and text.
  • They dynamically adjust to various data types and structures without predefined constraints.
  • They are specifically designed for organizing large amounts of multimedia content.
Answer :- For Answer Click Here

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