Explore topic-wise MCQs in Technical MCQs.

This section includes 10 Mcqs, each offering curated multiple-choice questions to sharpen your Technical MCQs knowledge and support exam preparation. Choose a topic below to get started.

1.

Data cleaning and data transformation are important steps in improving the quality of data and data mining results.

A. TRUE
B. FALSE
C. Can be true or false
D. Can not say
E.
Answer» B. FALSE
2.

Which of the following involves finding and correcting the errors in data?

A. Data Extraction
B. Data Cleaning
C. Data Transformation
D. Data Loading
Answer» C. Data Transformation
3.

To integrate heterogeneous databases, we have ___________ approaches.

A. 1
B. 2
C. 3
D. 4
Answer» C. 3
4.

OLAP contains historical data?

A. Yes
B. No
C. Can be yes or no
D. Can not say
Answer» B. No
5.

________________ supports knowledge discovery by finding hidden patterns and associations, constructing analytical models, performing classification and prediction.

A. Information Processing
B. Analytical Processing
C. Data mining
D. All of the above
Answer» D. All of the above
6.

A data warehouse does not require transaction processing, recovery, and concurrency controls?

A. TRUE
B. FALSE
C. Can be true or false
D. Can not say
Answer» B. FALSE
7.

How many types of data warehouse there?

A. 2
B. 3
C. 4
D. 5
Answer» C. 4
8.

Data warehouse is a?

A. subject oriented
B. integrated
C. time-variant
D. All of the above
Answer» E.
9.

In Which year, Data Warehouse was first coined?

A. 1987
B. 1988
C. 1989
D. 1990
Answer» E.
10.

The term Data Warehouse was first coined by?

A. Roger Mougalas
B. Arthur Samuel
C. Bill Inmon
D. Herbert Simon
Answer» D. Herbert Simon