Topic 1 Question 80

AWS Certified Solutions Architect - Professional

Topic 1 Question 80
A company runs an IoT platform on AWS. IoT sensors in various locations send data to the company’s Node.js API servers on Amazon EC2 instances running behind an Application Load Balancer. The data is stored in an Amazon RDS MySQL DB instance that uses a 4 TB General Purpose SSD volume.

The number of sensors the company has deployed in the field has increased over time, and is expected to grow significantly. The API servers are consistently overloaded and RDS metrics show high write latency.

Which of the following steps together will resolve the issues permanently and enable growth as new sensors are provisioned, while keeping this platform cost-efficient?

2 つ選択
- Resize the MySQL General Purpose SSD storage to 6 TB to improve the volume’s IOPS.
- Re-architect the database tier to use Amazon Aurora instead of an RDS MySQL DB instance and add read replicas.
- Leverage Amazon Kinesis Data Streams and AWS Lambda to ingest and process the raw data.
- Use AWS X-Ray to analyze and debug application issues and add more API servers to match the load.
- Re-architect the database tier to use Amazon DynamoDB instead of an RDS MySQL DB instance.
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- 正解だと思う選択肢: CE
  C and E are the correct answers.
  
  Option C: Leveraging Amazon Kinesis Data Streams and AWS Lambda to ingest and process the raw data would help to resolve the issues with the API servers being consistently overloaded. By using Kinesis, the data can be ingested and processed in real-time, allowing the API servers to handle the increased load. Using Lambda to process the data can also help to improve the overall performance and scalability of the platform.
  
  Option E: Re-architecting the database tier to use Amazon DynamoDB instead of an RDS MySQL DB instance would help to resolve the issues with high write latency. DynamoDB is a NoSQL database that is designed for high performance and scalability, making it a good fit for this use case. Additionally, DynamoDB supports auto-scaling, which can help to ensure that the database can handle the expected growth in the number of sensors.
  
  👍 12
  masetromain2023/01/14
- 正解だと思う選択肢: AC
  A C for me.
  
  👍 3
  Dimidrol2023/03/13
- 正解だと思う選択肢: BC
  https://www.examtopics.com/discussions/amazon/view/5011-exam-aws-certified-solutions-architect-professional-topic-1/ DynamoDB or other NoSQL options are not the solutions when organizations need to store predictable, structured data. In that case, Amazon Aurora is the best solution with high scalability and best performances.
  
  👍 3
  Damijo2023/03/16
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