Q88 — AWS SAA-C03 Ch.14

Question 88 of 100 | ← Chapter 14

Q1088. A media company stores movies in an Amazon S3 bucket. The movie files range in size from 1 GB to 10 GB.The company wants to make the movies available for purchase to customers. The company must be able to stream movies to customers within 5 minutes of a customer purchase. There is higher demand for movies that are less than 20 years old than for movies that are more than 20 years old. The company wants to optimize hosting costs based on demand.Which solution will meet these requirements?

• A. Store the movies in Amazon S3. Use S3 Lifecycle policies to move files to the Infrequent Access tier when the demand for a movie decreases.
• B. Store movies that are less than 20 years old in Amazon S3 Standard. Store movies that are older than 20 years in S3 Standard- Infrequent Access (S3 Standard-IA). When a user orders an older movie, retrieve the file by using standard retrieval. ✓
• C. Store movies that are less than 20 years old in Amazon S3 Intelligent-Tiering. Store movies that are older than 20 years in S3 Glacier Flexible Retrieval. When a user orders an older movie, retrieve the file by using expedited retrieval.
• D. Store movies that are 1ess than 20 years old in Amazon S3 Standard. Store movies that are older than 20 years in S3 G1acier Flexible Retrieval. When a user orders an older movie, retrieve the video file by using bulk retrieval.

Correct Answer: B. Store movies that are less than 20 years old in Amazon S3 Standard. Store movies that are older than 20 years in S3 Standard- Infrequent Access (S3 Standard-IA). When a user orders an older movie, retrieve the file by using standard retrieval.

Explanation

To meet the media company's requirements for storing and distributing movies with varying demands and optimizing hosting costs, we need to consider the access patterns, retrieval times, and cost implications of each storage class.Let's evaluate each option:A. Store the movies in Amazon S3. Use S3 Lifecycle policies to move files to the Infrequent Access tier when the demand for a movie decreases.S3 Lifecycle policies are useful for transitioning objects between storage classes based on time or access patterns. However, this solution does not account for the differing demands between newer and older movies. Moving objects to the Infrequent Access tier can reduce costs, but it doesn't specifically address the need for rapid access to newer, more popular movies.B. Store movies that are less than 20 years old in Amazon S3 Standard. Store movies that are older than 20 years in S3 Standard-Infrequent Access (S3 Standard-IA). When a user orders an older movie, retrieve the file by using standard retrieval.This solution separates newer and older movies into different storage classes based on demand. S3 Standard provides high availability and performance, suitable for newer movies with higher demand. S3 Standard-IA offers lower costs for less frequently accessed data, which aligns with the company's goal of optimizing costs for older movies. Standard retrieval from S3 Standard-IA meets the 5-minute streaming requirement for older movies.C. Store movies that are less than 20 years old in Amazon S3 Intelligent-Tiering. Store movies that are older than 20 years in S3 Glacier Flexible Retrieval. When a user orders an older movie, retrieve the file by using expedited retrieval.S3 Intelligent-Tiering automatically transitions objects between access tiers based on usage patterns, which could be beneficial for newer movies. However, storing older movies in S3 Glacier Flexible Retrieval and using expedited retrieval could be costly and might not meet the 5-minute requirement consistently, especially if the retrieval process takes longer due to the nature of Glacier storage.D. Store movies that are less than 20 years old in Amazon S3 Standard. Store movies that are older than 20 years in S3 Glacier Flexible Retrieval. When a user orders an older movie, retrieve the video file by using bulk retrieval.While this solution separates movies based on demand, using S3 Glacier Flexible Retrieval with bulk retrieval is not suitable for meeting the 5-minute streaming requirement. Bulk retrieval is designed for large- scale data retrievals that can access times, which does not align with the company's need for rapid access to movies.Given these considerations, the most suitable solution that meets the requirements is:B. Store movies that are less than 20 years old in Amazon S3 Standard. Store movies that are older than 20 years in S3 Standard-Infrequent Access (S3 Standard-IA). When a user orders an older movie, retrieve the file by using standard retrieval.This solution provides high availability and performance for newer movies and cost optimization for older movies, while ensuring that all movies can be streamed to customers within 5 minutes of purchase.