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.

Answer :- a

2. Which step involves the extraction of data patterns using intelligent methods?

• Data cleaning
• Data integration
• Data selection
• Data mining

Answer :- d

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

Answer :- c

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

Answer :- a

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

Answer :- c

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

Answer :- c

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.

Answer :- d

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

Answer :- c

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.

Answer :- b

10. Which phase in the knowledge discovery process involves the removal of noise and inconsistent data?

• Data integration
• Data transformation
• Data cleaning
• Data selection

Answer :- c

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

Answer :- c

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.

Answer :- a

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

Answer :- d

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

Answer :- b

15. What can you infer from the following graph?

• 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

Answer :- d