DVA-C02 Übungsfragen: AWS Certified Developer - Associate & DVA-C02 Dateien Prüfungsunterlagen

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Amazon DVA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Deployment	24%	- Prepare application artifacts to be deployed to AWS 1. AWS SAM 2. Lambda deployment packages 3. AWS CDK 4. Docker containers 5. AWS CloudFormation - Automate deployment testing 1. AWS CodeCommit 2. AWS CodeDeploy 3. AWS CodeBuild 4. AWS CodePipeline - Test applications in development environments 1. AWS SAM local 2. Local testing of Lambda functions 3. Mocking AWS services - Deploy code by using AWS CI/CD services 1. Blue/green deployments 2. AWS CodeCommit 3. Canary deployments 4. AWS CodeDeploy 5. AWS CodeBuild 6. GitHub integration 7. Rolling deployments 8. AWS CodePipeline
Troubleshooting and Optimization	18%	- Optimize applications by using AWS services and features 1. Memory and compute optimization 2. Data storage optimization 3. Cost optimization 4. Caching strategies (ElastiCache, CloudFront) 5. Concurrency and throttling - Assist in a root cause analysis 1. AWS CloudTrail 2. Error handling and retries 3. AWS X-Ray 4. Application logging 5. Amazon CloudWatch Logs - Instrument code for observability 1. Amazon CloudWatch alarms 2. Structured logging 3. Amazon CloudWatch metrics 4. Custom metrics 5. AWS X-Ray
Security	26%	- Implement authentication and/or authorization for applications and AWS services 1. User pools and identity pools in Amazon Cognito 2. Bearer tokens (JWT, OAuth, AWS STS) 3. Role-based access control (RBAC) 4. Identity federation (SAML, OpenID Connect, Amazon Cognito) 5. Resource-based policies, service policies, and principal policies - Implement encryption by using AWS services 1. AWS Certificate Manager 2. AWS Secrets Manager 3. Amazon S3 encryption 4. AWS CloudHSM 5. AWS KMS - Manage sensitive data in application code 1. AWS Secrets Manager 2. AWS Systems Manager Parameter Store 3. Environment variables 4. Encryption of data at rest and in transit
Development with AWS Services	32%	- Develop code for applications hosted on AWS 1. Amazon SNS 2. Amazon SQS 3. Amazon Cognito 4. Amazon S3 5. Amazon API Gateway 6. AWS Lambda 7. Amazon DynamoDB 8. AWS CLI 9. AWS SDKs 10. AWS CloudFormation - Develop code for AWS serverless applications 1. AWS AppSync 2. Amazon API Gateway 3. AWS Step Functions 4. Amazon EventBridge - Use data stores in application development 1. Amazon S3 2. Amazon ElastiCache 3. Amazon DynamoDB 4. Amazon EFS 5. Amazon RDS

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DVA-C02 PrüfungGuide, Amazon DVA-C02 Zertifikat - AWS Certified Developer - Associate

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Amazon AWS Certified Developer - Associate DVA-C02 Prüfungsfragen mit Lösungen (Q106-Q111):

106. Frage
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 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.
B. 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.
C. 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.
D. 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.

Antwort: D

Begründung:
Explanation
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]

107. Frage
A developer stores user data in an Amazon S3 bucket for an application. The user data must always be readily available.
The application accesses new user data frequently. The application rarely queries data that is more than 3 months old. However, the application queries some important user data consistently.
Both frequently accessed data and infrequently accessed data are stored separately within the S3 bucket. The developer has replicated the bucket to a second Region as part of a disaster recovery plan.
The developer wants to optimize storage costs for the user data based on usage patterns.
What combination of steps will meet these requirements? (Choose two.)

A. Create an S3 Lifecycle rule to move the data to the S3 Standard-Infrequent Access (S3 Standard- IA) tier after 3 months.
B. Create an S3 Lifecycle rule to move the data to the S3 Glacier Deep Archive tier after 3 months.
C. Add a filter to the Lifecycle rule, and specify the minimum object size that the rule must apply to.
D. Create an S3 Lifecycle rule to move the data to the S3 One Zone-Infrequent Access (S3 One Zone-IA) tier after 3 months.
E. Add a filter to the Lifecycle rule, and specify the key prefix the rule must apply to.

Antwort: A,E

Begründung:
You can use an S3 Lifecycle rule that targets only the infrequently accessed data (by filtering on its key prefix) and transitions those objects to the Standard-IA tier after they reach three months of age. This ensures that only the older, rarely accessed objects move to a lower-cost, yet immediately available, storage class.

108. Frage
A company is building a micro services app1 cation that consists of many AWS Lambda functions. The development team wants to use AWS Serverless Application Model (AWS SAM) templates to automatically test the Lambda functions. The development team plans to test a small percentage of traffic that is directed to new updates before the team commits to a full deployment of the application.
Which combination of steps will meet these requirements in the MOST operationally efficient way? (Select TWO.)

A. Enable gradual deployments through AWS SAM templates.
B. Set the deployment preference type to Canary10Percen130Minutes Use hooks to test the deployment.
C. Declare the EventlnvokeConfig on the Lambda functions in the AWS SAM templates with OnSuccess and OnFailure configurations.
D. Set the deployment preference type to Linear10PefcentEvery10Minutes Use hooks to test the deployment.
E. Use AWS SAM CLI commands in AWS CodeDeploy lo invoke the Lambda functions lo lest the deployment

Antwort: A,B

Begründung:
This solution will meet the requirements by using AWS Serverless Application Model (AWS SAM) templates and gradual deployments to automatically test the Lambda functions. AWS SAM templates are configuration files that define serverless applications and resources such as Lambda functions. Gradual deployments are a feature of AWS SAM that enable deploying new versions of Lambda functions incrementally, shifting traffic gradually, and performing validation tests during deployment. The developer can enable gradual deployments through AWS SAM templates by adding a DeploymentPreference property to each Lambda function resource in the template. The developer can set the deployment preference type to Canary10Percent30Minutes, which means that 10 percent of traffic will be shifted to the new version of the Lambda function for 30 minutes before shifting 100 percent of traffic. The developer can also use hooks to test the deployment, which are custom Lambda functions that run before or after traffic shifting and perform validation tests or rollback actions.
References: [AWS Serverless Application Model (AWS SAM)], [Gradual Code Deployment]

109. Frage
A company is implementing an application on Amazon EC2 instances. The application needs to process incoming transactions. When the application detects a transaction that is not valid, the application must send a chat message to the company's support team. To send the message, the application needs to retrieve the access token to authenticate by using the chat API.
A developer needs to implement a solution to store the access token. The access token must be encrypted at rest and in transit. The access token must also be accessible from other AWS accounts.
Which solution will meet these requirements with the LEAST management overhead?

A. Use AWS Secrets Manager with an AWS Key Management Service (AWS KMS) customer managed key to store the access token. Add a resource-based policy to the secret to allow access from other accounts. Update the IAM role of the EC2 instances with permissions to access Secrets Manager.
Retrieve the token from Secrets Manager. Use the decrypted access token to send the message to the chat.
B. Encrypt the access token by using an AWS Key Management Service (AWS KMS) customer managed key. Store the access token in an Amazon DynamoDB table. Update the IAM role of the EC2 instances with permissions to access DynamoDB and AWS KMS. Retrieve the token from DynamoDB. Decrypt the token by using AWS KMS on the EC2 instances. Use the decrypted access token to send the message to the chat.
C. Encrypt the access token by using an AWS Key Management Service (AWS KMS) AWS managed key.
Store the access token in an Amazon S3 bucket. Add a bucket policy to the S3 bucket to allow access from other accounts. Update the IAM role of the EC2 instances with permissions to access Amazon S3 and AWS KMS. Retrieve the token from the S3 bucket. Decrypt the token by using AWS KMS on the EC2 instances. Use the decrypted access token to send the massage to the chat.
D. Use an AWS Systems Manager Parameter Store SecureString parameter that uses an AWS Key Management Service (AWS KMS) AWS managed key to store the access token. Add a resource-based policy to the parameter to allow access from other accounts. Update the IAM role of the EC2 instances with permissions to access Parameter Store. Retrieve the token from Parameter Store with the decrypt flag enabled. Use the decrypted access token to send the message to the chat.

Antwort: A

Begründung:
https://aws.amazon.com/premiumsupport/knowledge-center/secrets-manager-share-between-accounts/
https://docs.aws.amazon.com/secretsmanager/latest/userguide/auth-and-access_examples_cross.html

110. Frage
A developer is debugging an issue with an application that is based on an AWS Lambda function.
The Lambda function intermittently fails during a 1-hour window. The developer needs to investigate the root cause of the intermittent failures.
The application sends logs to an Amazon CloudWatch Logs log group. The developer must be able to collect logs that relate to Lambda function failures. The developer must capture the dates and times at which the failures occurred.
Which solution will meet these requirements in the MOST operationally efficient way?

A. Download log flies from the CloudWatch Logs log group to the developer's local machine. Use a local text search tool to search for the error messages.
B. Use CloudWatch Insights to run a query on the log group that searches for specific patterns that match the error messages.
C. Use the AWS CLI in AWS CloudShell to browse the CloudWatch Logs log group to search for the error messages.
D. Export the CloudWatch Logs log group to an Amazon S3 bucket. Use Amazon Athena to run a SQL query against the bucket to search for the error messages.

Antwort: B

Begründung:
CloudWatch Logs Insights enables efficient, interactive querying of log data with minimal operational overhead. It allows filtering logs for error patterns and extracting timestamps within a specific time window, making it the most operationally efficient solution for debugging Lambda failures.

111. Frage
......

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