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

The video tutorial explains how to transition objects between different Amazon S3 storage classes and automate this process using lifecycle rules. It covers the setup of transition and expiration actions, provides practical scenarios for applying these rules, and discusses the use of S3 versioning for object recovery. Additionally, it introduces S3 Analytics as a tool for optimizing lifecycle configurations.

Which of the following storage classes allows for immediate retrieval of objects?

• Standard

• Glacier Flexible Retrieval

• Standard IA

• Glacier Deep Archive

What is a key feature of lifecycle rules in AWS S3?

• They are only applicable to Standard storage class.

• They automate the transition and expiration of objects.

• They allow for manual transition of objects.

• They can only be applied to entire buckets.

In the scenario where thumbnails are recreated easily, which storage class is recommended?

• Intelligent Tiering

• Glacier

• One Zone IA

• Standard

How can you ensure that deleted S3 objects are recoverable for a specific period?

• Enable S3 Analytics

• Set up a Glacier Deep Archive

• Apply Intelligent Tiering

• Use S3 versioning

What is the purpose of Amazon S3 Analytics?

• To provide immediate retrieval of archived objects

• To automate the deletion of objects

• To enable versioning of objects

• To offer recommendations for transitioning objects between storage classes