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| Section | Weight | Objectives |
|---|
| Deployment | 24% | - Deploy applications on AWS
- 1. Perform safe updates and rollbacks
- 2. Deploy to AWS Lambda, Amazon EC2, Elastic Beanstalk
- Implement CI/CD pipelines
- 1. Automate deployment and testing workflows
- 2. Use AWS CodePipeline, CodeBuild, CodeDeploy
- Prepare application artifacts for deployment
- 1. Package code and dependencies
- 2. Use infrastructure as code (AWS CloudFormation, AWS SAM)
|
| Development with AWS Services | 32% | - Integrate AWS services into applications
- 1. Implement messaging and event-driven workflows
- 2. Use AWS Lambda, API Gateway, Amazon EventBridge
- Write code for applications hosted on AWS
- 1. Use AWS SDKs and APIs
- 2. Implement architectural patterns
- 3. Develop serverless applications
- Interact with AWS data services
- 1. Work with Amazon DynamoDB, Amazon S3
- 2. Implement caching and data storage strategies
|
| Troubleshooting and Optimization | 18% | - Troubleshoot application issues
- 1. Analyze logs, metrics, and traces
- 2. Use Amazon CloudWatch, AWS X-Ray for monitoring
- Optimize application performance
- 1. Optimize resource usage and costs
- 2. Improve latency and throughput
- Debug and resolve errors
- 1. Resolve integration and configuration problems
- 2. Identify and fix code defects
|
| Security | 26% | - Implement authentication and authorization
- 1. Use Amazon Cognito for identity management
- 2. Manage IAM roles, policies, and permissions
- Secure application data
- 1. Implement encryption at rest and in transit
- 2. Manage secrets and credentials securely
- Apply security best practices
- 1. Validate application security configurations
- 2. Follow AWS Well-Architected Framework security principles
|
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Amazon AWS Certified Developer - Associate Sample Questions (Q536-Q541):
NEW QUESTION # 536
A gaming application stores scores for players in an Amazon DynamoDB table that has four attributes: user_id, user_name, user_score, and user_rank. The users are allowed to update their names only. A user is authenticated by web identity federation.
Which set of conditions should be added in the policy attached to the role for the dynamodb:PutItem API call?
- A. "Condition": {
"ForAllValues:StringEquals": {
"dynamodb:LeadingKeys": ["${www.amazon.com:user_name}"], "dynamodb:Attributes":
["username", "userid"]
}
} - B. "Condition": {
"ForAllValues:StringEquals": {
"dynamodb:LeadingKeys": ["${www.amazon.com:user_name}"], "dynamodb:Attributes": ["user_id"]
}
} - C. "Condition": {
"ForAllValues:StringEquals": {
"dynamodb:LeadingKeys": ["${www.amazon.com:user_id}"], "dynamodb:Attributes": ["user_name"]
}
} - D. "Condition": {
"ForAllValues:StringEquals": {
"dynamodb:LeadingKeys": ["${www.amazon.com:user_id}"], "dynamodb:Attributes": ["user_name",
"user_id"]
}
}
Answer: C
Explanation:
The LeadingKeys condition restricts operations to the authenticated user's user_id. The Attributes condition limits the updatable attributes to user_name.
NEW QUESTION # 537
A company wants to launch a REST API across multiple environments. The company needs to configure staging testing, and production environments.
The configuration must provide built-in support for version control. The team must be able to promote the test environment to the production environment when required.
Which solution will meet these requirements in the MOST operationally efficient way?
- A. Identify the API methods required for the configuration. Create an AWS Lambda function for each required API method. Use Lambda canary deployments with a weighted alias for new releases and version control.
- B. Use Amazon API Gateway to create a REST API. Set up an API method for each environment.
Deploy the REST API Associate the REST API deployment with the appropriate method. - C. Create a REST API for each environment in Amazon API Gateway. Deploy the APIs and distribute the URL of the API to the corresponding users.
- D. Use Amazon API Gateway to create a REST API Set up an API method for each environment.Deploy the REST API and associate the deployment with the appropriate stage.
Answer: D
Explanation:
Amazon API Gateway stages provide separate staging, testing, and production environments for the same REST API. Each stage can reference a specific immutable API deployment, which provides deployment versioning and enables a tested deployment to be promoted to production efficiently.
NEW QUESTION # 538
A developer has a financial application. The application uses AWS Secrets Manager to manage an Amazon RDS for PostgreSQL database's username and password. The developer needs to rotate the password while maintaining the application's high availability. Which solution will meet these requirements with LEAST development effort?
- A. Use the PostgreSQL client to create a new database username and password. Include the new secret values by performing an immediate rotation. Use the AWS CLI to update the RDS database password. Perform an immediate rotation of the Secrets Manager secrets.
- B. Rotate the secret by using the single-user rotation strategy. Update the application with an appropriate retry strategy to handle authentication failures.
- C. Rotate the secret by using multivalue answer rotation. Update the application with an appropriate retry strategy to handle authentication failures.
- D. Rotate the secret by using the alternating-users rotation strategy. Update the application with an appropriate retry strategy to handle authentication failures.
Answer: B
Explanation:
Using the single-user rotation strategy in AWS Secrets Manager is the simplest and most automated approach for rotating RDS credentials. Secrets Manager handles updating the secret and synchronizing it with the database. With a retry strategy in the application to handle any brief authentication failures during rotation, this solution provides high availability with minimal development effort.
NEW QUESTION # 539
A developer is building a highly secure healthcare application using serverless components. This application requires writing temporary data to /tmp storage on an AWS Lambda function. How should the developer encrypt this data?
- A. Use OpenSSL to generate a symmetric encryption key on Lambda startup. Use this key to encrypt the data prior to writing to /tmp.
- B. Enable Amazon EBS volume encryption with an AWS KMS key in the Lambda function configuration so that all storage attached to the Lambda function is encrypted.
- C. Set up the Lambda function with a role and key policy to access an AWS KMS key. Use the key to generate a data key used to encrypt all data prior to writing to /tmp storage.
- D. Use an on-premises hardware security module (HSM) to generate keys, where the Lambda function requests a data key from the HSM and uses that to encrypt data on all requests to the function.
Answer: C
Explanation:
The most secure and AWS-recommended approach is to use AWS KMS to generate a data key, then use that key to encrypt the data before writing to /tmp in the Lambda function. This ensures that the data is protected with KMS-managed encryption while maintaining high performance and compliance with healthcare data requirements.
NEW QUESTION # 540
A developer is using AWS Step Functions to automate a workflow The workflow defines each step as an AWS Lambda function task The developer notices that runs of the Step Functions state machine fail in the GetResource task with either an UlegalArgumentException error or a TooManyRequestsException error The developer wants the state machine to stop running when the state machine encounters an UlegalArgumentException error. The state machine needs to retry the GetResource task one additional time after 10 seconds if the state machine encounters a TooManyRequestsException error. If the second attempt fails, the developer wants the state machine to stop running.
How can the developer implement the Lambda retry functionality without adding unnecessary complexity to the state machine'?
- A. Duplicate the GetResource task Rename the new GetResource task to TryAgain Add a catcher to the original GetResource task Configure the catcher with an error type of TooManyRequestsException.Configure the next step to be TryAgain.
- B. Add a retrier to the GetResource task Configure the retrier with an error type of TooManyRequestsException, an interval of 10 seconds, and a maximum attempts value of 1.
- C. Add a catcher to the GetResource task Configure the catcher with an error type of TooManyRequestsException. an interval of 10 seconds, and a maximum attempts value of 1. Configure the next step to be the GetResource task.
- D. Add a Delay task after the GetResource task. Add a catcher to the GetResource task. Configure the catcher with an error type of TooManyRequestsException. Configure the next step to be the Delay task Configure the Delay task to wait for an interval of 10 seconds Configure the next step to be the GetResource task.
Answer: B
Explanation:
* Step Functions Retriers:Retriers provide a built-in way to gracefully handle transient errors within State Machines. Here's how to use them:
* Directly attach a retrier to the problematic 'GetResource' task.
* Configure the retrier:
* ErrorEquals: Set this to ['TooManyRequestsException'] to target the specific error.
* IntervalSeconds: Set to 10 for the desired retry delay.
* MaxAttempts: Set to 1, as you want only one retry attempt.
* Error Handling:
* Upon 'TooManyRequestsException', the retrier triggers the task again after 10 seconds.
* On a second failure, Step Functions moves to the next state or fails the workflow, as per your design.
* 'IllegalArgumentException' causes error propagation as intended.
NEW QUESTION # 541
......
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