adplus-dvertising
frame-decoration

Question

How often is data typically archived from operational systems, and for how long can it be retained?

a.

Data is archived annually and retained indefinitely.

b.

Data is archived on a quarterly basis and retained for up to 10 years.

c.

Archiving frequency and retention period vary depending on organizational needs.

d.

Data is never archived from operational systems.

Answer: (c).Archiving frequency and retention period vary depending on organizational needs. Explanation:Archiving frequency and retention periods depend on organizational circumstances.

Engage with the Community - Add Your Comment

Confused About the Answer? Ask for Details Here.

Know the Explanation? Add it Here.

Q. How often is data typically archived from operational systems, and for how long can it be retained?

Similar Questions

Discover Related MCQs

Q. What is the purpose of archived data in a data warehouse?

Q. Why is external data important in a data warehouse?

Q. How does external data typically differ from internal data in terms of format?

Q. How do organizations need to manage data transmissions from external sources?

Q. After data is extracted from various operational systems and external sources, what major functions need to be performed to prepare the data for storing in the data warehouse?

Q. Where do the major functions of data extraction, transformation, and loading take place?

Q. Why is a separate staging area necessary for preparing data for a data warehouse?

Q. In some cases, particularly with old legacy systems, what type of staging area might be required?

Q. What is the purpose of data extraction in the staging area?

Q. Why might a data warehouse implementation team choose to use in-house programs for data extraction instead of outside tools?

Q. Where is the source data extracted into after the extraction function in the staging area?

Q. What is the primary purpose of data transformation in the context of a data warehouse?

Q. Why is data transformation for a data warehouse more challenging than for an operational system?

Q. What is the primary objective of cleaning data during the data transformation process?

Q. What is semantic standardization in the context of data transformation?

Q. Which of the following is NOT a part of data transformation?

Q. Why are primary keys in a data warehouse different from those in operational systems?

Q. What does the data transformation function include when data needs to be summarized in the data warehouse?

Q. What is the outcome of the data transformation function in the data staging area?

Q. What is the primary distinction between the initial data loading and ongoing data loading into a data warehouse?