DATA MINING EXAMINATION QUESTIONS AND CORRECT
ANSWER WITH EXPLANATION GRADED A+ STUDY GUIDE
SOUTHERN NEW HAMPSHIRE UNIVERSITY
1. Data mining is the process of:
A. Extracting useful patterns from large datasets
B. Deleting data
C. Encrypting data
D. Storing files only
Answer: A
Rationale: Data mining discovers hidden patterns in large data.
2. Data mining is mainly used for:
A. Knowledge discovery
B. Hardware design
C. Network installation
D. Programming only
Answer: A
Rationale: It extracts meaningful insights from data.
3. Data mining is a part of:
A. Machine learning and data science
B. Accounting only
C. Networking only
D. Hardware engineering
Answer: A
Rationale: It belongs to AI and analytics fields.
4. KDD stands for:
,A. Knowledge Discovery in Databases
B. Key Data Design
C. Known Data Development
D. Kernel Data Distribution
Answer: A
Rationale: Data mining process framework.
5. Data preprocessing includes:
A. Cleaning and transforming data
B. Deleting system files
C. Encrypting hardware
D. Building networks
Answer: A
Rationale: Preparing data for analysis.
6. Data cleaning means:
A. Removing errors and duplicates
B. Encrypting data
C. Sorting hardware
D. Coding software
Answer: A
Rationale: Improves data quality.
7. Data transformation means:
A. Converting data into suitable format
B. Deleting data
C. Encrypting data
D. Randomizing data
Answer: A
Rationale: Making data usable for mining.
8. Data integration means:
, A. Combining data from multiple sources
B. Deleting files
C. Encrypting data
D. Sorting hardware
Answer: A
Rationale: Unifying datasets.
9. Data reduction means:
A. Reducing data volume while keeping information
B. Deleting all data
C. Encrypting data
D. Copying data
Answer: A
Rationale: Efficient processing.
10. Data mining works on:
A. Large datasets
B. Single values
C. Hardware only
D. Networks only
Answer: A
Rationale: Big data analysis.
11. Classification is used to:
A. Assign labels to data
B. Store data
C. Encrypt data
D. Delete data
Answer: A
Rationale: Categorization task.
12. Regression is used to:
ANSWER WITH EXPLANATION GRADED A+ STUDY GUIDE
SOUTHERN NEW HAMPSHIRE UNIVERSITY
1. Data mining is the process of:
A. Extracting useful patterns from large datasets
B. Deleting data
C. Encrypting data
D. Storing files only
Answer: A
Rationale: Data mining discovers hidden patterns in large data.
2. Data mining is mainly used for:
A. Knowledge discovery
B. Hardware design
C. Network installation
D. Programming only
Answer: A
Rationale: It extracts meaningful insights from data.
3. Data mining is a part of:
A. Machine learning and data science
B. Accounting only
C. Networking only
D. Hardware engineering
Answer: A
Rationale: It belongs to AI and analytics fields.
4. KDD stands for:
,A. Knowledge Discovery in Databases
B. Key Data Design
C. Known Data Development
D. Kernel Data Distribution
Answer: A
Rationale: Data mining process framework.
5. Data preprocessing includes:
A. Cleaning and transforming data
B. Deleting system files
C. Encrypting hardware
D. Building networks
Answer: A
Rationale: Preparing data for analysis.
6. Data cleaning means:
A. Removing errors and duplicates
B. Encrypting data
C. Sorting hardware
D. Coding software
Answer: A
Rationale: Improves data quality.
7. Data transformation means:
A. Converting data into suitable format
B. Deleting data
C. Encrypting data
D. Randomizing data
Answer: A
Rationale: Making data usable for mining.
8. Data integration means:
, A. Combining data from multiple sources
B. Deleting files
C. Encrypting data
D. Sorting hardware
Answer: A
Rationale: Unifying datasets.
9. Data reduction means:
A. Reducing data volume while keeping information
B. Deleting all data
C. Encrypting data
D. Copying data
Answer: A
Rationale: Efficient processing.
10. Data mining works on:
A. Large datasets
B. Single values
C. Hardware only
D. Networks only
Answer: A
Rationale: Big data analysis.
11. Classification is used to:
A. Assign labels to data
B. Store data
C. Encrypt data
D. Delete data
Answer: A
Rationale: Categorization task.
12. Regression is used to:
