AWS Certified Data Analytics Specialty 2021 – Hands-On - S3 Access Points and Object Lambda

The video tutorial explains how to use S3 access points to manage user access to data in S3 buckets. It covers creating specific access points for different user groups, such as finance, sales, and analytics, and attaching policies to these access points to control data access. The tutorial also introduces S3 Object Lambda, which allows for modifying objects on-the-fly using Lambda functions, enabling use cases like data redaction and enrichment without duplicating buckets.

What is the main challenge with using bucket policies for access management in S3?

• They can become complex with more users and groups.

• They are not secure.

• They are too simple to implement.

• They do not support read access.

What is the purpose of creating an S3 access point?

• To delete data from the bucket.

• To simplify access management for specific user groups.

• To encrypt data in the bucket.

• To increase storage capacity.

Which user group needs read access to all data in the S3 bucket?

• Analytics group

• Marketing group

• Sales group

• Finance group

How does an S3 Object Lambda function modify data?

• By running code to transform data before retrieval.

• By creating a new bucket.

• By duplicating the bucket.

• By deleting the original data.

What is the role of a Lambda function in S3 Object Lambda?

• To create new access points.

• To delete data from the bucket.

• To run code that modifies data on-the-fly.

• To store data permanently.

What is a potential use case for S3 Object Lambda?

• Increasing bucket size.

• Redacting sensitive information.

• Creating new user groups.

• Deleting all objects in a bucket.

How can S3 Object Lambda help in data transformation?

• By deleting old data.

• By creating new buckets.

• By resizing and watermarking images on-the-fly.

• By encrypting all data.