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The DVA-C02 exam consists of 65 multiple-choice and multiple-response questions that must be completed in 130 minutes. DVA-C02 exam fee is $150, and candidates must score at least 720 out of 1000 to pass. DVA-C02 exam is available in English, Japanese, Korean, and Simplified Chinese, and can be taken either in-person at a testing center or remotely through online proctoring. AWS Certified Developer - Associate certification is valid for three years, after which the candidate must recertify to maintain their status as an AWS Certified Developer - Associate.
The DVA-C02 exam is an important certification for developers looking to validate their skills and knowledge in AWS development. It covers a wide range of topics related to AWS development, including AWS core services, developer tools, and programming languages commonly used in AWS development. By passing the DVA-C02 Exam, candidates can demonstrate their ability to design, develop, and deploy cloud-based applications using AWS services and best practices, making them a valuable asset to any organization.
Earning the DVA-C02 certification can open up many career opportunities in AWS development. According to the AWS certification website, certified developers can earn an average salary of $130,000 per year. Additionally, the certification can help you stand out in a competitive job market and demonstrate your commitment to professional development.
Amazon AWS Certified Developer - Associate Sample Questions (Q387-Q392):
NEW QUESTION # 387
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. 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.
- B. 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. - C. 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.
- D. 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.
Answer: B
Explanation:
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
NEW QUESTION # 388
An application uses an Amazon EC2 Auto Scaling group. A developer notices that EC2 instances are taking a long time to become available during scale-out events. The UserData script is taking a long time to run.
The developer must implement a solution to decrease the time that elapses before an EC2 instance becomes available. The solution must make the most recent version ofthe application available at all times and must apply all available security updates. The solution also must minimize the number of images that are created.
The images must be validated.
Which combination of steps should the developer take to meet these requirements? (Choose two.)
- A. Set up AWS CodeDeploy to deploy the most recent version of the application at runtime.
- B. Use EC2 Image Builder to create an Amazon Machine Image (AMI). Install all the patches and agents that are needed to manage and run the application. Update the Auto Scaling group launch configuration to use the AMI.
- C. Remove any commands that perform operating system patching from the UserData script.
- D. Set up AWS CodePipeline to deploy the most recent version of the application at runtime.
- E. Use EC2 Image Builder to create an Amazon Machine Image (AMI). Install the latest version of the application and all the patches and agents that are needed to manage and run the application. Update the Auto Scaling group launch configuration to use the AMI.
Answer: C,E
Explanation:
AWS CloudFormation is a service that enables developers to model and provision AWS resources using templates. The developer can use the following steps to avoid accidental database deletion in the future:
* Set up AWS CodeDeploy to deploy the most recent version of the application at runtime. This will ensure that the application code is always up to date and does not depend on the AMI.
* Remove any commands that perform operating system patching from the UserData script. This will reduce the time that the UserData script takes to run and speed up the instance launch process.
NEW QUESTION # 389
A company is building a web application on AWS. When a customer sends a request, the application will generate reports and then make the reports available to the customer within one hour. Reports should be accessible to the customer for 8 hours. Some reports are larger than 1 MB. Each report is unique to the customer. The application should delete all reports that are older than 2 days.
Which solution will meet these requirements with the LEAST operational overhead?
- A. Generate the reports and then store the reports as Amazon DynamoDB items that have a specified TTL.
Generate a URL that retrieves the reports from DynamoDB. Provide the URL to customers through the web application. - B. Generate the reports and then store the reports in an Amazon S3 bucket that uses server-side encryption. Generate a presigned URL that contains an expiration date Provide the URL to customers through the web application. Add S3 Lifecycle configuration rules to the S3 bucket to delete old reports.
- C. Generate the reports and then store the reports in an Amazon S3 bucket that uses server-side encryption. Attach the reports to an Amazon Simple Notification Service (Amazon SNS) message.
Subscribe the customer to email notifications from Amazon SNS. - D. Generate the reports and then store the reports in an Amazon RDS database with a date stamp.Generate an URL that retrieves the reports from the RDS database. Provide the URL to customers through the web application. Schedule an hourly AWS Lambda function to delete database records that have expired date stamps.
Answer: B
Explanation:
Explanation
This solution will meet the requirements with the least operational overhead because it uses Amazon S3 as a scalable, secure, and durable storage service for the reports. The presigned URL will allow customers to access their reports for a limited time (8 hours) without requiring additional authentication. The S3 Lifecycle configuration rules will automatically delete the reports that are older than 2 days, reducing storage costs and complying with the data retention policy. Option A is not optimal because it will incur additional costs and complexity to store the reports as DynamoDB items, which have a size limit of 400 KB. Option B is not optimal because it will not provide customers with access to their reports within one hour, as Amazon SNS email delivery is not guaranteed. Option D is not optimal because it will require more operational overhead to manage an RDS database and a Lambda function for storing and deleting the reports.
References: Amazon S3 Presigned URLs, Amazon S3 Lifecycle
NEW QUESTION # 390
A developer is deploying a new application to Amazon Elastic Container Service (Amazon ECS).
The developer needs to securely store and retrieve different types of variables. These variables include authentication information for a remote API, the URL for the API, and credentials. The authentication information and API URL must be available to all current and future deployed versions of the application across development, testing, and production environments. How should the developer retrieve the variables with the FEWEST application changes?
- A. Update the application to retrieve the variables from AWS Systems Manager Parameter Store.
Use unique paths in Parameter Store for each variable in each environment. Store the credentials in AWS Secrets Manager in each environment. - B. Update the application to retrieve the variables from AWS Key Management Service (AWS KMS).
Store the API URL and credentials as unique keys for each environment. - C. Update the application to retrieve the variables from each of the deployed environments. Define the authentication information and API URL in the ECS task definition as unique names during the deployment process.
- D. Update the application to retrieve the variables from an encrypted file that is stored with the application. Store the API URL and credentials in unique files for each environment.
Answer: A
Explanation:
The application has credentials and URL, so it's convenient to store them in ssm parameter store restive them.
NEW QUESTION # 391
A developer is creating a mobile app that calls a backend service by using an Amazon API Gateway REST API. For integration testing during the development phase, the developer wants to simulate different backend responses without invoking the backend service.
Which solution will meet these requirements with the LEAST operational overhead?
- A. Create an AWS Lambda function. Use API Gateway proxy integration to return constant HTTP responses.
- B. Customize the API Gateway stage to select a response type based on the request.
- C. Use a request mapping template to select the mock integration response.
- D. Create an Amazon EC2 instance that serves the backend REST API by using an AWS CloudFormation template.
Answer: C
Explanation:
Explanation
Amazon API Gateway supports mock integration responses, which are predefined responses that can be returned without sending requests to a backend service. Mock integration responses can be used for testing or prototyping purposes, or for simulating different backend responses based on certain conditions. A request mapping template can be used to select a mock integration response based on an expression that evaluates some aspects of the request, such as headers, query strings, or body content. This solution does not require any additional resources or code changes and has the least operational overhead. Reference: Set up mock integrations for an API Gateway REST API
https://docs.aws.amazon.com/apigateway/latest/developerguide/how-to-mock-integration.html
NEW QUESTION # 392
......
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