Preparing Practice Exam…
Please wait a moment while the system generates the exam questions, answers, and study session.
Please wait a moment while the system generates the exam questions, answers, and study session.
AWS Certified Solutions Architect - Associate · AWS
Select one answer.
Written by other learners. Comments can disagree with the marked answer — check the official documentation when in doubt.
A. Use the S3 Intelligent-Tiering storage class. Create an S3 Lifecycle policy to transition objects to S3 Glacier Deep Archive after 1 year. Here's why this solution is the most suitable: S3 Intelligent-Tiering: This storage class automatically moves data between two access tiers (frequent and infrequent) based on changing access patterns, without performance impact or operational overhead. It is cost-effective for data with unknown or changing access patterns. Lifecycle Policy: By creating an S3 Lifecycle policy to transition objects to S3 Glacier Deep Archive after 1 year, you can significantly reduce storage costs for long-term archival.
I dont get how its A 1. Each morning, the company uses the data from the previous 30 days 2. Four times each year, the company uses the data from the previous 12 months to perform analysis and train other ML models 3. The data must be available with minimal delay for up to 1 year. After 1 year, the data must be retained for archival purposes The data ingestion happens 4 times a year, that means that after the initial 30 days it still needs to be pulled 3 more times, why would you put the data in standard infrequent if you were going to use it 3 more times and speed is a requirement? Makes more sense to put it in S3 standard, or intelligent then straight to glacier.
Clear access pattern. data in Standard-Infrequent Access is for data requires rapid access when needed