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最新的 AWS Certified Solutions Architect AWS-Solutions-Associate 免費考試真題:

1. A company has developed a non-production application that is composed of multiple microservices for each of the company's business units. A single development team maintains all the microservices.
The current architecture uses a static web frontend and a Java-based backend that contains the application logic. The architecture also uses a MySQL database that the company hosts on an Amazon EC2 instance.
The company needs to ensure that the application is secure and available globally.
Which solution will meet these requirements with the LEAST operational overhead?

A) Use Amazon S3 to host the static web frontend. Refactor the microservices to use AWS Lambda functions that are in a target group behind an Application Load Balancer. Migrate the MySQL database to an Amazon EC2 Reserved Instance.
B) Use Amazon CloudFront and Amazon S3 to host the static web frontend. Refactor the microservices to use AWS Lambda functions that are in a target group behind a Network Load Balancer. Migrate the MySQL database to Amazon RDS for MySQL.
C) Use Amazon CloudFront and Amazon S3 to host the static web frontend. Refactor the microservices to use AWS Lambda functions that the microservices access by using Amazon API Gateway. Migrate the MySQL database to Amazon RDS for MySQL.
D) Use Amazon CloudFront and AWS Amplify to host the static web frontend. Refactor the microservices to use AWS Lambda functions that the microservices access by using Amazon API Gateway. Migrate the MySQL database to an Amazon EC2 Reserved Instance.

2. A company has a batch processing application that runs every day. The process typically takes an average 3 hours to complete. The application can handle interruptions and can resume the process after a restart.
Currently, the company runs the application on Amazon EC2 On-Demand Instances. The company wants to optimize costs while maintaining the same performance level. Which solution will meet these requirements MOST cost-effectively?

A) Determine the appropriate instance family and size to meet the requirements of the application. Convert the application to run on AWS Batch with EC2 On-Demand Instances. Purchase a 1-year Compute Savings Plan.
B) Use EC2 On-Demand Capacity Reservations based on the appropriate instance family and size to meet the requirements of the application. Run the EC2 instances in an Auto Scaling group.
C) Purchase a 1-year EC2 Instance Savings Plan for the appropriate instance family and size to meet the requirements of the application.
D) Determine the appropriate instance family and size to meet the requirements of the application. Convert the application to run on AWS Batch with EC2 Spot Instances.

3. An online food delivery company wants to optimize its storage costs. The company has been collecting operational data for the last 10 years in a data lake that was built on Amazon S3 by using a Standard storage class. The company does not keep data that is older than 7 years. A solutions architect frequently uses data from the past 6 months for reporting and runs queries on data from the last 2 years about once a month. Data that is more than 2 years old is rarely accessed and is only used for audit purposes.
Which combination of solutions will optimize the company's storage costs? (Select TWO.)

A) Use the S3 Intelligent-Tiering storage class to store data instead of the S3 Standard storage class.
B) Create an S3 Lifecycle configuration rule to transition data that is older than 7 years to the S3 Glacier Deep Archive storage class.
C) Create an S3 Lifecycle configuration rule to transition data that is older than 6 months to the S3 Standard-Infrequent Access (S3 Standard-IA) storage class. Create another S3 Lifecycle configuration rule to transition data that is older than 2 years to the S3 Glacier Deep Archive storage class.
D) Create an S3 Lifecycle configuration rule to transition data that is older than 6 months to the S3 One Zone-Infrequent Access (S3 One Zone-IA) storage class. Create another S3 Lifecycle configuration rule to transition data that is older than 2 years to the S3 Glacier Flexible Retrieval storage class.
E) Create an S3 Lifecycle expiration rule to delete data that is older than 7 years.

4. A company has deployed resources in the us-east-1 Region. The company also uses thousands of AWS Outposts servers deployed at remote locations around the world. These Outposts servers regularly download new software versions from us-east-1 that consist of hundreds of files. The company wants to improve the latency of the software download process.
Which solution will meet these requirements?

A) Create an Amazon S3 bucket in us-east-1. Configure S3 Transfer Acceleration. Configure the Outposts servers to download by using the acceleration endpoint.
B) Create an Amazon S3 bucket in us-east-1. Configure the bucket for static website hosting. Use bucket policies and ACLs to provide read access to the Outposts servers.
C) Create an Amazon S3 bucket in us-east-1 and a second bucket in us-west-2. Configure replication. Set up a CloudFront distribution with origin failover between the buckets. Download by using signed URLs.
D) Create an Amazon S3 bucket in us-east-1. Set up a CloudFront distribution using all edge locations with caching enabled. Configure the bucket as the origin. Download the software by using signed URLs.

5. A company has a business system that generates hundreds of reports each day. The business system saves the reports to a network share in CSV format. The company needs to store this data in the AWS Cloud in near- real time for analysis.

A) Deploy an AWS Transfer for SFTP endpoint. Create a script that checks for new files on the network share and uploads the new files by using SFTP.
B) Create an Amazon S3 File Gateway. Update the business system to use a new network share from the S3 File Gateway.
C) Use AWS DataSync to transfer the files to Amazon S3. Create an application that uses the DataSync API in the automation workflow.
D) Use AWS DataSync to transfer the files to Amazon S3. Create a scheduled task that runs at the end of each day.

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