Backup and disaster recovery in Hadoop - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is the main goal of backup in Hadoop?

The main goal of backup in Hadoop is to create copies of important data to protect it from loss or corruption, so it can be restored if needed.

beginner

Define disaster recovery in the context of Hadoop.

Disaster recovery in Hadoop means having a plan and tools to restore data and services quickly after a failure or disaster, ensuring minimal downtime.

intermediate

Name two common backup methods used in Hadoop.

Two common backup methods in Hadoop are: 1) DistCp (distributed copy) to copy data between clusters, and 2) Snapshots to capture the state of data at a point in time.

intermediate

How do Hadoop snapshots help in disaster recovery?

Hadoop snapshots save the exact state of the file system at a moment, allowing quick rollback to that state if data is lost or corrupted.

beginner

Why is it important to test your disaster recovery plan regularly?

Testing ensures the plan works correctly, helps find problems early, and trains the team to respond quickly during a real disaster.

What Hadoop tool is commonly used to copy large amounts of data between clusters for backup?

A DistCp

B Hive

C Pig

D Sqoop

DistCp is designed for distributed copying of large data sets between Hadoop clusters.

What does a Hadoop snapshot capture?

A Current state of the file system

B User permissions only

C Network configuration

D Job execution logs

Snapshots capture the exact state of the file system at a specific time.

Which of the following is NOT a goal of disaster recovery?

A Minimize downtime

B Increase data duplication

C Prevent data loss

D Restore services quickly

Increasing data duplication is not a direct goal; the focus is on recovery and minimizing impact.

Why should backup data be stored in a different location?

A To avoid data encryption

B To reduce storage costs

C To speed up data processing

D To protect against site-wide disasters

Storing backups offsite protects data if the main site is damaged.

What is a key benefit of regularly testing your disaster recovery plan?

A It guarantees no disasters will happen

B It increases data storage capacity

C It helps identify weaknesses in the plan

D It reduces the need for backups

Testing helps find and fix problems before a real disaster occurs.

Explain how Hadoop snapshots and DistCp work together to support backup and disaster recovery.

Think about capturing data state and copying it safely.

Describe why having a disaster recovery plan is critical for Hadoop data environments.

Consider what happens if data or services suddenly stop working.