AWS Certified Data Analytics Specialty 2021 – Hands-On - S3 Lifecycle Rules – Hands-On

The video tutorial explains how to create and manage lifecycle rules in Amazon S3 buckets. It covers five rule actions: moving current and noncurrent versions of objects between storage classes, expiring current versions, permanently deleting noncurrent versions, and deleting expired objects or incomplete uploads. The tutorial provides a step-by-step guide on setting transitions for different storage classes and automating object management, ensuring efficient data handling over time.

What is the primary purpose of creating a lifecycle rule in Amazon S3?

• To manage the lifecycle of objects in a bucket

• To enhance the security of a bucket

• To increase the storage capacity of a bucket

• To improve the speed of data retrieval

Which storage class transition occurs after 30 days for current version objects?

• Instant Retrieval

• Glacier Flexible

• Standard IA

• Deep Archive

After how many days can a current version object be transitioned to Deep Archive?

• 180 days

• 90 days

• 700 days

• 365 days

What happens to non-current version objects after 700 days?

• They are transitioned to Glacier Flexible

• They are permanently deleted

• They are moved to Standard IA

• They remain unchanged

What is a key benefit of setting expiration rules for objects in Amazon S3?

• It allows for unlimited data storage

• It enhances data security

• It increases the speed of data retrieval

• It reduces storage costs by automatically deleting unnecessary data