NPTEL Business Intelligence & Analytics Week 1 Assignment Answers 2024

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NPTEL Business Intelligence & Analytics Week 1 Assignment Answers 2024

1. What concept does the phrase “turning data tombs into ‘golden nuggets’ of knowledge” signify with respect to data mining?

  • The transformation of extensive data reserves into valuable insights and knowledge.
  • The replacement of conventional data repositories with intuitive decision-making tools.
  • The extraction of specific data sets for expert systems’ utilization.
  • The integration of data archives with cutting-edge data mining technologies.
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2. Which step involves the extraction of data patterns using intelligent methods?

  • Data cleaning
  • Data integration
  • Data selection
  • Data mining
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3. What is the primary purpose of data mining in the context of the data age?

  • Storing and organizing massive amounts of data
  • Creating social networks and communities
  • Uncovering valuable information from vast data and converting it into organized knowledge
  • Supporting scientific experiments and observations
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4. Which technology contributed substantially to the evolution and wide acceptance of relational technology for efficient storage, retrieval, and management of large amounts of data?

  • Advanced indexing and accessing methods
  • Online transaction processing (OLTP)
  • Hierarchical database systems
  • Object-oriented database models
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5. What does the architecture of a data warehouse primarily aim to facilitate?

  • Data cleaning and integration
  • Advanced query optimization
  • Management decision making
  • Real-time data processing
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6. What is the primary advantage of using data warehouse systems for OLAP?

  • Providing detailed transactional views to users
  • Performing daily transaction analysis
  • Presenting data at different levels of abstraction
  • Enabling real-time data updates and modifications
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7. What defines outliers in a dataset?

  • Objects that conform to the general behaviour or model of the data.
  • Data objects that are commonly discarded as exceptions.
  • Data that adhere strictly to statistical or distance measures.
  • Objects that deviate from the general behaviour or model of the data.
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8. How does data mining benefit from scalable database technologies?

  • It diminishes efficiency and scalability on large datasets
  • It relies solely on traditional database systems
  • It enables high efficiency and scalability on large datasets
  • It limits scalability to small datasets for efficiency
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9. What distinguishes Descriptive Analytics from other types of analytics?

  • It focuses on predicting future outcomes.
  • It identifies patterns and trends from past data.
  • It prescribes actions based on analyzed data.
  • It evaluates data in real-time for immediate decisions.
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10. Which phase in the knowledge discovery process involves the removal of noise and inconsistent data?

  • Data integration
  • Data transformation
  • Data cleaning
  • Data selection
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11. In the context of data preprocessing, what is the purpose of data transformation

  • To retrieve relevant data from the database
  • To remove noise and inconsistent data
  • To prepare data for mining by performing summary or aggregation operations
  • To evaluate interesting patterns based on specific measures
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12. What is the fundamental characteristic of a relational database?

  • It consists of a collection of tables with unique names.
  • It uses graphs or networked structures to store data.
  • It primarily stores multimedia data and text data.
  • It represents the database as a set of entities and their relationships.
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13. Which of the following can be called as a major driver of Data Mining?

  • Decline of open-source technologies
  • Declining growth in Manufacturing sector globally
  • Penetration of MOOC platforms
  • Rise of transaction processing systems/ERPs
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14. What does the “long tail” phenomenon refer to in business?

  • A marketing strategy focused on a narrow customer base
  • The distribution of sales that extends to less common products returning substantial profits
  • A strategy to increase product diversity without considering market demand
  • A method to minimize inventory costs in retail businesses
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15. What can you infer from the following graph?

NPTEL Business Intelligence & Analytics Week 1 Assignment Answers 2024
  • Less travelled destinations are growing more popular with each passing year
  • Top travel destinations are becoming more popular with each passing year
  • The growth of ICT evidently played an important role in making least popular places more popular
  • The growth of social media evidently played an important role in making least popular places more popular
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