Week 3 - Data Integrity

What does Data Integrity refer to?

• Quantity of data

• Accuracy and consistency of data over its lifecycle

• Security of data

• Speed of data transfer

Why is Data Integrity crucial for enterprises?

• To waste time and resources on correcting errors
• To increase customer dissatisfaction and loss of trust
• To ensure that the data is accurate, consistent, and reliable for making informed business decisions and maintaining customer trust.
• To make the data more confusing and unreliable

How can data integrity be compromised during replication or transfer?

• Network issues, software bugs, or human error
• Magic spells
• Time travel paradox
• By error checking methods

What does the 3-2-1 Rule recommend for data backup?

• Keep 1 copy on 1 device

• Keep 2 copies on 3 devices

• Keep 3 copies on 2 devices/mediums with 1 off-site storage solution

• Keep 1 copy on 2 devices

Why is encrypting backups recommended in the content?

• To make backups faster

• To add an extra layer of security

• To increase data quantity

• To reduce data integrity