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最新的 AWS Certified Associate DVA-C02 免費考試真題:

1. A developer is migrating some features from a legacy monolithic application to use AWS Lambda functions instead. The application currently stores data in an Amazon Aurora DB cluster that runs in private subnets in a VPC. The AWS account has one VPC deployed. The Lambda functions and the DB cluster are deployed in the same AWS Region in the same AWS account.
The developer needs to ensure that the Lambda functions can securely access the DB cluster without crossing the public internet.
Which solution will meet these requirements?

A) Configure an Amazon RDS database proxy for the Lambda functions.
B) Configure the VPC, subnets, and a security group for the Lambda functions.
C) Configure a NAT gateway and a security group for the Lambda functions.
D) Configure the DB cluster's public access setting to Yes.

2. A company has an application that is deployed on AWS Elastic Beanstalk. The application generates user- specific PDFs and stores the PDFs in an Amazon S3 bucket. The application then uses Amazon Simple Email Service (Amazon SES) to send the PDFs by email to subscribers.
Users no longer access the PDFs 90 days after the PDFs are generated. The S3 bucket is not versioned and contains many obsolete PDFs.
A developer must reduce the number of files in the S3 bucket by removing PDFs that are older than 90 days.
Which solution will meet this requirement with the LEAST development effort?

A) Update the application code. In the code, add a rule to scan all the objects in the S3 bucket every day and to delete objects after 90 days.
B) Create an S3 Lifecycle rule for the S3 bucket to expire objects after 90 days.
C) Partition the S3 objects with a <year>/<month>/<day> key prefix. Create an AWS Lambda function to remove objects that have prefixes that have reached the expiration date.
D) Create an AWS Lambda function. Program the Lambda function to scan all the objects in the S3 bucket every day and to delete objects after 90 days.

3. A company caches session information for a web application in an Amazon DynamoDB table. The company wants an automated way to delete old items from the table.
What is the simplest way to do this?

A) Add an attribute with the expiration time; enable the Time To Live feature based on that attribute.
B) Write a script that deletes old records; schedule the script as a cron job on an Amazon EC2 instance.
C) Each day, create a new table to hold session data; delete the previous day's table.
D) Add an attribute with the expiration time; name the attribute ItemExpiration.

4. A developer is designing a serverless application for a game in which users register and log in through a web browser The application makes requests on behalf of users to a set of AWS Lambda functions that run behind an Amazon API Gateway HTTP API The developer needs to implement a solution to register and log in users on the application's sign-in page. The solution must minimize operational overhead and must minimize ongoing management of user identities.
Which solution will meet these requirements'?

A) Create Amazon Cognito user pools for external social identity providers Configure 1AM roles for the identity pools.
B) Configure the sign-in page to register and store the users and their passwords in an Amazon DynamoDB table with an attached IAM policy.
C) Program the sign-in page to create users' 1AM groups with the 1AM roles attached to the groups
D) Create an Amazon RDS for SQL Server DB instance to store the users and manage the permissions to the backend resources in AWS

5. A company needs to harden its container images before the images are in a running state. The company's application uses Amazon Elastic Container Registry (Amazon ECR) as an image registry. Amazon Elastic Kubernetes Service (Amazon EKS) for compute, and an AWS CodePipeline pipeline that orchestrates a continuous integration and continuous delivery (CI/CD) workflow.
Dynamic application security testing occurs in the final stage of the pipeline after a new image is deployed to a development namespace in the EKS cluster. A developer needs to place an analysis stage before this deployment to analyze the container image earlier in the CI/CD pipeline.
Which solution will meet these requirements with the MOST operational efficiency?

A) Create a new CodePipeline stage that occurs after source code has been retrieved from its repository.
Run a security scanner on the latest revision of the source code. Fail the pipeline if there are findings.
B) Add an action to the deployment stage of the pipeline so that the action occurs before the deployment to the EKS cluster. Configure ECR basic image scanning to scan on image push. Use an AWS Lambda function as the action provider. Configure the Lambda function to check the scan results and to fail the pipeline if there are findings.
C) Build the container image and run the docker scan command locally. Mitigate any findings before pushing changes to the source code repository. Write a pre-commit hook that enforces the use of this workflow before commit.
D) Create a new CodePipeline stage that occurs after the container image is built. Configure ECR basic image scanning to scan on image push. Use an AWS Lambda function as the action provider. Configure the Lambda function to check the scan results and to fail the pipeline if there are findings.

問題與答案：

問題 #1 答案： B

問題 #2 答案： B

問題 #3 答案： A

問題 #4 答案： A

問題 #5 答案： D