Data Integrity

What is data integrity?

• The maintenance of and the assurance of the accuracy and consistency of data over its entire lifecycle.
• The process of storing, processing, and retrieving data.
• The design and implementation of any system.
• The broad scope of computing.

Why is data integrity important?

• To ensure the accuracy and consistency of data.
• To store and retrieve data efficiently.
• To design and implement systems effectively.
• To broaden the scope of computing.

What does data integrity refer to?

• The accuracy and consistency of data.
• The storage and retrieval of data.
• The design and implementation of systems.
• The broad scope of computing.

When does data integrity matter?

• Throughout the entire lifecycle of data.
• Only during the storage phase of data.
• Only during the retrieval phase of data.
• Only during the processing phase of data.

What is the scope of data integrity?

• Broad and can have different meanings depending on the context.
• Narrow and limited to specific systems.
• Limited to the storage phase of data.
• Limited to the retrieval phase of data.

Which of the following is true about data integrity?

• It is a critical aspect of any system that stores, processes, or retrieves data.
• It is only important during the design phase of systems.
• It is only important during the implementation phase of systems.
• It is only important during the usage phase of systems.

What is the main goal of data integrity?

• To maintain the accuracy and consistency of data.
• To store and retrieve data efficiently.
• To design and implement systems effectively.
• To broaden the scope of computing.

What does data integrity ensure?

• The accuracy and consistency of data.
• The efficiency of data storage and retrieval.
• The effectiveness of system design and implementation.
• The broad scope of computing.

What is the role of data integrity in computing?

• To ensure the accuracy and consistency of data.
• To store and retrieve data efficiently.
• To design and implement systems effectively.
• To broaden the scope of computing.

What is the significance of data integrity?

• It is critical for the reliability and trustworthiness of data.
• It is only important for data storage.
• It is only important for data retrieval.
• It is only important for data processing.