DVA-C02認證 - DVA-C02考試資訊

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Amazon DVA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Deployment	24%	- Infrastructure as code 1. AWS CloudFormation templates - CI/CD and deployment strategies 1. AWS CodeBuild and CodeDeploy usage 2. AWS CodePipeline workflows
Security	26%	- Application authentication and authorization 1. IAM roles and policies 2. Cognito user authentication - Data security 1. Secure API access patterns 2. Encryption using AWS KMS
Development with AWS Services	32%	- Application development and integration 1. Event-driven architectures with SNS/SQS 2. API Gateway and REST APIs - AWS core services development 1. Amazon S3 usage in applications 2. Amazon DynamoDB integration patterns 3. AWS Lambda functions development
Troubleshooting and Optimization	18%	- Monitoring and logging 1. Amazon CloudWatch metrics and logs - Performance optimization 1. Fault tolerance and resilience patterns 2. Application performance tuning

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最新的 AWS Certified Associate DVA-C02 免費考試真題 (Q668-Q673):

問題 #668
A company wants to use generative AI for development. The generative AI implementation must include the company's internal code bases. The implementation must also answer queries based on the company's code repositories and internal documentation. The implementation must not expose the code repositories and internal documentation to other companies. Which solution will meet these requirements in the MOST operationally efficient way?

A. Deploy a Hugging Face model on Amazon SageMaker AI. Implement a Retrieval Augmented Generation (RAG) workflow with a vector database that contains the company's internal code base and documentation.
B. Implement Amazon Bedrock with custom knowledge bases to incorporate internal documentation and code repositories.
C. Set up a self-hosted instance of a Meta Llama 2 model. Fine-tune the model on the company's internal code base and documentation.
D. Deploy Amazon Q Developer with chat customizations. Connect Amazon Q developer to the private code repositories. Activate customization in the integrated development environment (IDE).

答案：D

解題說明：
Amazon Q Developer is purpose-built for software development use cases, including answering questions and generating assistance based on private code repositories and internal documentation. Its chat customization capability lets the company connect those private data sources while keeping the content isolated from other customers, and it does so with far less operational overhead than building and maintaining a self-hosted or SageMaker-based generative AI solution.

問題 #669
A developer has an application that is composed of many different AWS Lambda functions. The Lambda functions all use some of the same dependencies. To avoid security issues the developer is constantly updating the dependencies of all of the Lambda functions. The result is duplicated effort to reach function.
How can the developer keep the dependencies of the Lambda functions up to date with the LEAST additional complexity?

A. Define a Lambda layer that contains all of the shared dependencies.
B. Upgrade the Lambda functions to the most recent runtime version.
C. Use an AWS CodeCommit repository to host the dependencies in a centralized location.
D. Define a maintenance window for the Lambda functions to ensure that the functions get updated copies of the dependencies.

答案：A

解題說明：
This solution allows the developer to keep the dependencies of the Lambda functions up to date with the least additional complexity because it eliminates the need to update each function individually. A Lambda layer is a ZIP archive that contains libraries, custom runtimes, or other dependencies. The developer can create a layer that contains all of the shared dependencies and attach it to multiple Lambda functions. When the developer updates the layer, all of the functions that use the layer will have access to the latest version of the dependencies.

問題 #670
A developer is updating an application to store data in an Amazon S3 bucket. The application and the S3 bucket are in the same AWS account. The data needs to be encrypted by an AWS KMS key. The data must be accessible to an application that runs in a second AWS account. The developer has already created a bucket policy that allows the second AWS account to access the S3 bucket. Which combination of steps should the developer take to meet these requirements?
(Choose two.)

A. Use an AWS managed KMS key to encrypt the data.
B. Update the S3 bucket policy to allow access to the KMS key.
C. Update the KMS key policy to allow access from the second AWS account.
D. Use a customer managed KMS key to encrypt the data.
E. Update the KMS key policy to allow access from the S3 bucket.

答案：C,D

解題說明：
A customer managed KMS key is required to grant cross-account access, unlike AWS managed keys which are limited to a single account.
The KMS key policy must explicitly grant usage permissions to the second AWS account so it can decrypt the data encrypted with the key.

問題 #671
A company has deployed infrastructure on AWS. A development team wants to create an AWS Lambda function that will retrieve data from an Amazon Aurora database. The Amazon Aurora database is in a private subnet in company's VPC. The VPC is named VPC1. The data is relational in nature. The Lambda function needs to access the data securely.
Which solution will meet these requirements?

A. Create the Lambda function. Configure VPC1 access for the function. Attach a security group named SG1 to both the Lambda function and the database. Configure the security group inbound and outbound rules to allow TCP traffic on Port 3306.
B. Export the data from the Aurora database to Amazon S3. Create and launch a Lambda function in VPC1. Configure the Lambda function query the data from Amazon S3.
C. Create the Lambda function. Configure VPC1 access for the function. Assign a security group named SG1 to the Lambda function. Assign a second security group named SG2 to the database. Add an inbound rule to SG1 to allow TCP traffic from Port 3306.
D. Create and launch a Lambda function in a new public subnet that is in a new VPC named VPC2. Create a peering connection between VPC1 and VPC2.

答案：A

解題說明：
AWS Lambda is a service that lets you run code without provisioning or managing servers. Lambda functions can be configured to access resources in a VPC, such as an Aurora database, by specifying one or more subnets and security groups in the VPC settings of the function. A security group acts as a virtual firewall that controls inbound and outbound traffic for the resources in a VPC. To allow a Lambda function to communicate with an Aurora database, both resources need to be associated with the same security group, and the security group rules need to allow TCP traffic on Port 3306, which is the default port for MySQL databases. Reference: [Configuring a Lambda function to access resources in a VPC]

問題 #672
An application that is hosted on an Amazon EC2 instance needs access to files that are stored in an Amazon S3 bucket. The application lists the objects that are stored in the S3 bucket and displays a table to the user.
During testing, a developer discovers that the application does not show any objects in the list.
What is the MOST secure way to resolve this issue?

A. Update the developer's user permissions to include the S3:ListBucket permission for the S3 bucket.
B. Update the IAM instance profile that is attached to the EC2 instance to include the S3:* permission for the S3 bucket.
C. Update the IAM instance profile that is attached to the EC2 instance to include the S3:ListBucket permission for the S3 bucket.
D. Update the S3 bucket policy by including the S3:ListBucket permission and by setting the Principal element to specify the account number of the EC2 instance.

答案：C

解題說明：
Explanation
IAM instance profiles are containers for IAM roles that can be associated with EC2 instances. An IAM role is a set of permissions that grant access to AWS resources. An IAM role can be used to allow an EC2 instance to access an S3 bucket by including the appropriate permissions in the role's policy. The S3:ListBucket permission allows listing the objects in an S3 bucket. By updating the IAM instance profile with this permission, the application on the EC2 instance can retrieve the objects from the S3 bucket and display them to the user. Reference: Using an IAM role to grant permissions to applications running on Amazon EC2 instances

問題 #673
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