SAA-C03 · Question #795
A company wants to run a production database in the AWS Cloud. The database will collect billions of sensor readings from multiple locations across multiple AWS Regions. Data is written to the…
The correct answer is D. Use Amazon DynamoDB Standard-IA tables in multiple Regions. Configure DynamoDB to. Amazon DynamoDB Standard-IA (Infrequent Access) tables are designed for high-throughput workloads with cost optimization for data that is accessed less frequently. They provide high durability, can handle millions of writes per second, and are suitable for multi-Region…
Question
A company wants to run a production database in the AWS Cloud. The database will collect billions of sensor readings from multiple locations across multiple AWS Regions. Data is written to the database at a sustained rate of 50,000 writes per second. The company will run reports once every 3 months against the database. The company will run simple queries to retrieve data based on unique location IDs to run the reports. The query results will vary in size. The company needs a solution that will optimize data storage costs. The solution must be highly durable and must not compromise database performance. Which solution will meet these requirements?
Options
- AUse Amazon Aurora Serverless v2 in one Region. Specify the desired capacity range.
- BUse Amazon DynamoDB Standard tables, and enable DynamoDB Accelerator (DAX).
- CDeploy an Amazon RDS for PostgreSQL DB instance, and create a read replica.
- DUse Amazon DynamoDB Standard-IA tables in multiple Regions. Configure DynamoDB to
How the community answered
(56 responses)- A2% (1)
- B13% (7)
- C5% (3)
- D80% (45)
Explanation
Amazon DynamoDB Standard-IA (Infrequent Access) tables are designed for high-throughput workloads with cost optimization for data that is accessed less frequently. They provide high durability, can handle millions of writes per second, and are suitable for multi-Region replication. This solution meets the requirement for high write throughput, low-cost storage, and durable, globally accessible data while supporting occasional query-based reports.
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