Amazon AWS Certified Solutions Architect-Professional 問題集 練習問題・模擬試験｜日本語版＆英語版対応

サンプル問題 1： Your company policies require encryption of sensitive data at rest. You are considering the possible options for protecting data while storing it at rest on an EBS data volume, attached to an EC2 instance. Which of these options would allow you to encrypt your data at rest? (Choose three.)

• A: Implement third party volume encryption tools
• B: Implement SSL/TLS for all services running on the server
• C: Encrypt data inside your applications before storing it on EBS
• D: Encrypt data using native data encryption drivers at the file system level
• E: Do nothing as EBS volumes are encrypted by default

サンプル問題 2： A customer is deploying an SSL enabled web application to AWS and would like to implement a separation of roles between the EC2 service administrators that are entitled to login to instances as well as making API calls and the security officers who will maintain and have exclusive access to the application’s X.509 certificate that contains the private key.

• A: Upload the certificate on an S3 bucket owned by the security officers and accessible only by EC2 Role of the web servers.
• B: Configure the web servers to retrieve the certificate upon boot from an CloudHSM is managed by the security officers.
• C: Configure system permissions on the web servers to restrict access to the certificate only to the authority security officers
• D: Configure IAM policies authorizing access to the certificate store only to the security officers and terminate SSL on an EL

サンプル問題 3： You have recently joined a startup company building sensors to measure street noise and air quality in urban areas. The company has been running a pilot deployment of around 100 sensors for 3 months each sensor uploads 1KB of sensor data every minute to a backend hosted on AWS. During the pilot, you measured a peak or 10 IOPS on the database, and you stored an average of 3GB of sensor data per month in the database. The current deployment consists of a load-balanced auto scaled Ingestion layer using EC2 instances and a PostgreSQL RDS database with 500GB standard storage. The pilot is considered a success and your CEO has managed to get the attention or some potential investors. The business plan requires a deployment of at least 100K sensors which needs to be supported by the backend. You also need to store sensor data for at least two years to be able to compare year over year Improvements. To secure funding, you have to make sure that the platform meets these requirements and leaves room for further scaling. Which setup win meet the requirements?

• A: Add an SQS queue to the ingestion layer to buffer writes to the RDS instance
• B: Ingest data into a DynamoDB table and move old data to a Redshift cluster
• C: Replace the RDS instance with a 6 node Redshift cluster with 96TB of storage
• D: Keep the current architecture but upgrade RDS storage to 3TB and 10K provisioned IOPS