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最新的 AWS Certified Associate DVA-C02 免費考試真題 (Q357-Q362):

問題 #357
A developer built an application that calls an external API to obtain data, processes the data, and saves the result to Amazon S3. The developer built a container image with all of the necessary dependencies to run the application as a container.
The application runs locally and requires minimal CPU and RAM resources. The developer has created an Amazon ECS cluster. The developer needs to run the application hourly in Amazon ECS.
Which solution will meet these requirements with the LEAST amount of infrastructure management overhead?

A. Create an Amazon ECS cluster and add the managed node groups feature to run the application.
B. Define a task definition with an AWS Fargate launch type.
C. Add an Amazon EC2 instance that runs the application.
D. Add a capacity provider to manage instances.

答案：B

解題說明：
To run a containerized job hourly in ECS with minimal infrastructure management, the best choice is AWS Fargate. Fargate is a serverless compute engine for containers that runs ECS tasks without the developer needing to provision, patch, or scale EC2 instances.
With option C, the developer defines an ECS task definition using the Fargate launch type and schedules it (commonly via Amazon EventBridge Scheduler / EventBridge rule triggering RunTask). ECS handles the placement, networking, and execution of the task on managed infrastructure. This is the least operational overhead approach because there are no instances to manage and no capacity planning required, which fits an hourly job with small CPU/RAM needs.
Option A (capacity providers) is primarily for managing EC2 capacity for ECS and still requires underlying instances, which increases operational burden.
Option B runs the app on an EC2 instance, which requires instance lifecycle management, OS patching, scaling considerations, and failure handling.
Option D refers to managed node groups (an EKS concept) and does not apply cleanly to ECS. Even in a Kubernetes context, nodes still need management compared to Fargate.
Therefore, defining a Fargate task is the simplest and lowest-management solution.

問題 #358
A company runs an AWS CodeBuild project on medium-sized Amazon EC2 instances. The company wants to cost optimize the project and reduce the provisioning time.

A. Configure the project to run on a CodeBuild reserved capacity fleet.
B. Select AWS Lambda as the compute mode for the CodeBuild project.
C. Set up Amazon S3 caching for the CodeBuild project.
D. Configure the project to run on a CodeBuild on-demand fleet.

答案：C

解題說明：
Comprehensive and Detailed Step-by-Step Explanation:
* Option D: Set up Amazon S3 Caching for CodeBuild:
* CodeBuild supports S3 caching to store intermediate build artifacts and dependencies. This reduces the time required to download dependencies during subsequent builds, effectively lowering costs and improving build performance.
* By using S3 caching, developers can optimize costs without changing the compute type or adding complexity.
* Why Other Options Are Incorrect:
* Option A: CodeBuild does not have a "reserved capacity fleet" option.
* Option B: AWS Lambda cannot be used as the compute mode for CodeBuild projects.
CodeBuild uses its own managed build environments.
* Option C: CodeBuild already operates on an on-demand basis, so this does not address the need for optimization or reduced provisioning time.
References:
* AWS CodeBuild Caching Documentation

問題 #359
A company is using Amazon API Gateway to develop an API for its application on AWS. A developer needs to test and generate API responses. Other teams are required to test the API immediately.
What should the developer do to meet these requirements?

A. Set up the request validators in the API ' s OpenAPI definition file. Import the OpenAPI definitions into API Gateway to test the API.
B. Set up a mock integration request in API Gateway. Configure the method ' s integration request and integration response to associate a response with a given status code.
C. Set up a gateway response for the API in API Gateway. Configure response headers with hardcoded HTTP status codes and responses.
D. Set up a request parameter-based Lambda authorizer to control access to the API. Configure the Lambda function with the necessary mapping template.

答案：B

解題說明：
API Gateway mock integration is designed for exactly this situation: generating API responses directly from API Gateway without requiring a working backend. This lets dependent teams test immediately while the real backend is still being developed. The developer can configure the integration request and integration response mapping to return specific payloads and status codes. Request validators check incoming requests but do not generate backend responses. Gateway responses customize API Gateway-generated error responses, not normal business responses for application testing. A Lambda authorizer controls access and would require a Lambda function, which adds unnecessary implementation work. AWS documentation confirms that mock integrations let API developers generate responses directly from API Gateway and unblock teams before backend development is complete. ( AWS Documentation )

問題 #360
A developer has written the following IAM policy to provide access to an Amazon S3 bucket:

Which access does the policy allow regarding the s3:GetObject and s3:PutObject actions?

A. Access on all buckets except the "DOC-EXAMPLE-BUCKET" bucket
B. Access on all objects in the "DOC-EXAMPLE-BUCKET" bucket along with access to all S3 actions for objects in the "DOC-EXAMPLE-BUCKET" bucket that start with "secrets"
C. Access on all buckets that start with "DOC-EXAMPLE-BUCKET" except the
"DOC-EXAMPLE-BUCKET/secrets" bucket
D. Access on all objects in the "DOC-EXAMPLE-BUCKET" bucket except on objects that start with
"secrets"

答案：D

解題說明：
Explanation
The IAM policy shown in the image is a resource-based policy that grants or denies access to an S3 bucket based on certain conditions. The first statement allows access to any S3 action on any object in the
"DOC-EXAMPLE-BUCKET" bucket when the request is made over HTTPS (the value of aws:SecureTransport is true). The second statement denies access to the s3:GetObject and s3:PutObject actions on any object in the "DOC-EXAMPLE-BUCKET/secrets" prefix when the request is made over HTTP (the value of aws:SecureTransport is false). Therefore, the policy allows access on all objects in the
"DOC-EXAMPLE-BUCKET" bucket except on objects that start with "secrets". Reference: Using IAM policies for Amazon S3

問題 #361
A company wants to share information with a third party. The third party has an HTTP API endpoint that the company can use to share the information. The company has the required API key to access the HTTP API.
The company needs a way to manage the API key by using code. The integration of the API key with the application code cannot affect application performance.
Which solution will meet these requirements MOST securely?

A. Store the API credentials in AWS Secrets Manager. Retrieve the API credentials at runtime by using the AWS SDK. Use the credentials to make the API call.
B. Store the API credentials in a local code variable. Push the code to a secure Git repository. Use the local code variable at runtime to make the API call.
C. Store the API credentials as an object in a private Amazon S3 bucket. Restrict access to the S3 object by using IAM policies. Retrieve the API credentials at runtime by using the AWS SDK. Use the credentials to make the API call.
D. Store the API credentials in an Amazon DynamoDB table. Restrict access to the table by using resource-based policies. Retrieve the API credentials at runtime by using the AWS SDK. Use the credentials to make the API call.

答案：A

解題說明：
AWS Secrets Manager is a service that helps securely store, rotate, and manage secrets such as API keys, passwords, and tokens. The developer can store the API credentials in AWS Secrets Manager and retrieve them at runtime by using the AWS SDK. This solution will meet the requirements of security, code management, and performance. Storing the API credentials in a local code variable or an S3 object is not secure, as it exposes the credentials to unauthorized access or leakage. Storing the API credentials in a DynamoDB table is also not secure, as it requires additional encryption and access control measures. Moreover, retrieving the credentials from S3 or DynamoDB may affect application performance due to network latency.
Reference:
[What Is AWS Secrets Manager? - AWS Secrets Manager]
[Retrieving a Secret - AWS Secrets Manager]

問題 #362
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從Google Drive中免費下載最新的Testpdf DVA-C02 PDF版考試題庫：https://drive.google.com/open?id=11cB6qvyUsbkR03zi8wiFMoQ0_4R_Yhfr