RELIABLE DVA-C02 TEST NOTES, DVA-C02 DUMP FILE

Reliable DVA-C02 Test Notes, DVA-C02 Dump File

Reliable DVA-C02 Test Notes, DVA-C02 Dump File

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Amazon AWS Certified Developer - Associate Sample Questions (Q283-Q288):

NEW QUESTION # 283
A developer wants to deploy a new version of an AWS Elastic Beanstalk application. During deployment the application must maintain full capacity and avoid service interruption. Additionally, the developer must minimize the cost of additional resources that support the deployment.
Which deployment method should the developer use to meet these requirements?

  • A. Bluegreen
  • B. Immutable
  • C. All at once
  • D. Rolling with additional batch

Answer: D

Explanation:
This solution will meet the requirements by using a rolling with additional batch deployment method, which deploys the new version of the application to a separate group of instances and then shifts traffic to those instances in batches. This way, the application maintains full capacity and avoids service interruption during deployment, as well as minimizes the cost of additional resources that support the deployment. Option A is not optimal because it will use an all at once deployment method, which deploys the new version of the application to all instances simultaneously, which may cause service interruption or downtime during deployment. Option C is not optimal because it will use a blue/green deployment method, which deploys the new version of the application to a separate environment and then swaps URLs with the original environment, which may incur more costs for additional resources that support the deployment. Option D is not optimal because it will use an immutable deployment method, which deploys the new version of the application to a fresh group of instances and then redirects traffic to those instances, which may also incur more costs for additional resources that support the deployment.


NEW QUESTION # 284
A company is building a serverless application on AWS. The application uses an AWS Lambda function to process customer orders 24 hours a day, 7 days a week. The Lambda function calls an external vendor's HTTP API to process payments.
During load tests, a developer discovers that the external vendor payment processing API occasionally times out and returns errors. The company expects that some payment processing API calls will return errors.
The company wants the support team to receive notifications in near real time only when the payment processing external API error rate exceed 5% of the total number of transactions in an hour. Developers need to use an existing Amazon Simple Notification Service (Amazon SNS) topic that is configured to notify the support team.
Which solution will meet these requirements?

  • A. Publish the results of the external payment processing API calls to a new Amazon SNS topic.
    Subscribe the support team members to the new SNS topic.
  • B. Publish custom metrics to CloudWatch that record the failures of the external payment processing API calls. Configure a CloudWatch alarm to notify the existing SNS topic when error rate exceeds the specified rate.
  • C. Write the results of payment processing API calls to Amazon CloudWatch. Use Amazon CloudWatch Logs Insights to query the CloudWatch logs. Schedule the Lambda function to check the CloudWatch logs and notify the existing SNS topic.
  • D. Write the results of the external payment processing API calls to Amazon S3. Schedule an Amazon Athena query to run at regular intervals. Configure Athena to send notifications to the existing SNS topic when the error rate exceeds the specified rate.

Answer: B

Explanation:
You can use the Embedded Metrics format to embed custom metrics alongside detailed log event data. CloudWatch automatically extracts the custom metrics so you can visualize and alarm on them, for real-time incident detection.
https://docs.aws.amazon.com/lambda/latest/operatorguide/custom-metrics.html


NEW QUESTION # 285
A developer is creating a serverless application that uses an AWS Lambda function The developer will use AWS CloudFormation to deploy the application The application will write logs to Amazon CloudWatch Logs The developer has created a log group in a CloudFormation template for the application to use The developer needs to modify the CloudFormation template to make the name of the log group available to the application at runtime Which solution will meet this requirement?

  • A. Pass the log group's name to the application in the user data section of the CloudFormation template.
  • B. Pass the log group's Amazon Resource Name (ARN) as an environment variable to the Lambda function
  • C. Use the CloudFormation template's Mappings section to specify the log group's name for the application.
  • D. Use the AWS:lnclude transform in CloudFormation to provide the log group's name to the application

Answer: B

Explanation:
CloudFormation and Lambda Environment Variables:
CloudFormation is an excellent tool to manage infrastructure as code, including the log group resource.
Lambda functions can access environment variables at runtime, making them a suitable way to pass configuration information like the log group ARN.
CloudFormation Template Modification:
In your CloudFormation template, define the log group resource.
In the Lambda function resource, add an Environment section:
YAML
Environment:
Variables:
LOG_GROUP_ARN: !Ref LogGroupResourceName
Use code with caution.
content_copy
The !Ref intrinsic function retrieves the log group's ARN, which CloudFormation generates during stack creation.
Using the ARN in Your Lambda Function:
Within your Lambda code, access the LOG_GROUP_ARN environment variable.
Configure your logging library (e.g., Python's logging module) to send logs to the specified log group.
Reference:
AWS Lambda Environment Variables: https://docs.aws.amazon.com/lambda/latest/dg/configuration-envvars.html CloudFormation !Ref Intrinsic Function: https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/intrinsic-function-reference-ref.html


NEW QUESTION # 286
A company is running a custom application on a set of on-premises Linux servers that are accessed using Amazon API Gateway. AWS X-Ray tracing has been enabled on the API test stage.
How can a developer enable X-Ray tracing on the on-premises servers with the LEAST amount of configuration?

  • A. Install and run the X-Ray SDK on the on-premises servers to capture and relay the data to the X-Ray service.
  • B. Capture incoming requests on-premises and configure an AWS Lambda function to pull, process, and relay relevant data to X-Ray using the PutTelemetryRecords API call.
  • C. Install and run the X-Ray daemon on the on-premises servers to capture and relay the data to the X-Ray service.
  • D. Capture incoming requests on-premises and configure an AWS Lambda function to pull, process, and relay relevant data to X-Ray using the PutTraceSegments API call.

Answer: C

Explanation:
The X-Ray daemon is a software that collects trace data from the X-Ray SDK and relays it to the X-Ray service. The X-Ray daemon can run on any platform that supports Go, including Linux, Windows, and macOS. The developer can install and run the X-Ray daemon on the on-premises servers to capture and relay the data to the X-Ray service with minimal configuration. The X-Ray SDK is used to instrument the application code, not to capture and relay data. The Lambda function solutions are more complex and require additional configuration.
Reference:
[AWS X-Ray concepts - AWS X-Ray]
[Setting up AWS X-Ray - AWS X-Ray]


NEW QUESTION # 287
A developer has written a distributed application that uses micro services. The microservices are running on Amazon EC2 instances. Because of message volume, the developer is unable to match log output from each microservice to a specific transaction. The developer needs to analyze the message flow to debug the application.
Which combination of steps should the developer take to meet this requirement? (Select TWO.)

  • A. Set up Amazon CloudWatch metric streams to collect streaming data from the microservices.
  • B. Add the AWS X-Ray software development kit (SDK) to the microservices. Use X-Ray to trace requests that each microservice makes.
  • C. Configure an interface VPC endpoint to allow traffic to reach the global AWS X-Ray daemon on TCP port 2000.
  • D. Enable AWS X-Ray. Configure Amazon CloudWatch to push logs to X-Ray.
  • E. Download the AWS X-Ray daemon. Install the daemon on an EC2 instance. Ensure that the EC2 instance allows UDP traffic on port 2000.

Answer: B,E


NEW QUESTION # 288
......

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