Database-Management-System
August 29, 2024Database-Management-System
August 29, 2024Database-Management-System
| Question 650 |
Consider the following two statements :
(A) Data scrubling is a process to upgrade the quality of data, before it is moved into Data warehouse.
(B) Data scrubling is a process of rejecting data from data warehouse to create indexes.
Which one of the following options is correct ?
(A) Data scrubling is a process to upgrade the quality of data, before it is moved into Data warehouse.
(B) Data scrubling is a process of rejecting data from data warehouse to create indexes.
Which one of the following options is correct ?
| (A) is true, (B) is false. | |
| (A) is false, (B) is true. | |
| Both (A) and (B) are false. | |
| Both (A) and (B) are true. |
Question 650 Explanation:
→ Data scrubbing is an error correction technique that uses a background task to periodically inspect main memory or storage for errors, then correct detected errors using redundant data in the form of different checksums or copies of data.
→ Data scrubbing reduces the likelihood that single correctable errors will accumulate, leading to reduced risks of uncorrectable errors.
→ Data scrubbing reduces the likelihood that single correctable errors will accumulate, leading to reduced risks of uncorrectable errors.
Correct Answer: A
Question 650 Explanation:
→ Data scrubbing is an error correction technique that uses a background task to periodically inspect main memory or storage for errors, then correct detected errors using redundant data in the form of different checksums or copies of data.
→ Data scrubbing reduces the likelihood that single correctable errors will accumulate, leading to reduced risks of uncorrectable errors.
→ Data scrubbing reduces the likelihood that single correctable errors will accumulate, leading to reduced risks of uncorrectable errors.