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| Section | Weight | Objectives |
|---|
| Topic 1: Deployment | 24% | - Prepare application artifacts to be deployed to AWS
- 1. AWS CDK
- 2. AWS SAM
- 3. Docker containers
- 4. AWS CloudFormation
- 5. Lambda deployment packages
- Deploy code by using AWS CI/CD services
- 1. AWS CodePipeline
- 2. Blue/green deployments
- 3. AWS CodeDeploy
- 4. Rolling deployments
- 5. GitHub integration
- 6. Canary deployments
- 7. AWS CodeCommit
- 8. AWS CodeBuild
- Test applications in development environments
- 1. AWS SAM local
- 2. Mocking AWS services
- 3. Local testing of Lambda functions
- Automate deployment testing
- 1. AWS CodePipeline
- 2. AWS CodeDeploy
- 3. AWS CodeCommit
- 4. AWS CodeBuild
|
| Topic 2: Troubleshooting and Optimization | 18% | - Optimize applications by using AWS services and features
- 1. Cost optimization
- 2. Memory and compute optimization
- 3. Caching strategies (ElastiCache, CloudFront)
- 4. Concurrency and throttling
- 5. Data storage optimization
- Assist in a root cause analysis
- 1. AWS X-Ray
- 2. AWS CloudTrail
- 3. Application logging
- 4. Amazon CloudWatch Logs
- 5. Error handling and retries
- Instrument code for observability
- 1. AWS X-Ray
- 2. Amazon CloudWatch alarms
- 3. Structured logging
- 4. Amazon CloudWatch metrics
- 5. Custom metrics
|
| Topic 3: Security | 26% | - Implement encryption by using AWS services
- 1. AWS Certificate Manager
- 2. AWS Secrets Manager
- 3. AWS KMS
- 4. AWS CloudHSM
- 5. Amazon S3 encryption
- Manage sensitive data in application code
- 1. Environment variables
- 2. AWS Secrets Manager
- 3. Encryption of data at rest and in transit
- 4. AWS Systems Manager Parameter Store
- Implement authentication and/or authorization for applications and AWS services
- 1. Bearer tokens (JWT, OAuth, AWS STS)
- 2. User pools and identity pools in Amazon Cognito
- 3. Identity federation (SAML, OpenID Connect, Amazon Cognito)
- 4. Resource-based policies, service policies, and principal policies
- 5. Role-based access control (RBAC)
|
| Topic 4: Development with AWS Services | 32% | - Use data stores in application development
- 1. Amazon DynamoDB
- 2. Amazon ElastiCache
- 3. Amazon S3
- 4. Amazon RDS
- 5. Amazon EFS
- Develop code for AWS serverless applications
- 1. AWS Step Functions
- 2. Amazon API Gateway
- 3. AWS AppSync
- 4. Amazon EventBridge
- Develop code for applications hosted on AWS
- 1. Amazon DynamoDB
- 2. AWS Lambda
- 3. Amazon S3
- 4. AWS SDKs
- 5. Amazon API Gateway
- 6. AWS CloudFormation
- 7. Amazon SNS
- 8. Amazon Cognito
- 9. AWS CLI
- 10. Amazon SQS
|
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Amazon AWS Certified Developer - Associate Sample Questions (Q571-Q576):
NEW QUESTION # 571
A developer is creating an ecommerce workflow in an AWS Step Functions state machine that includes a HTTP Task state. The task passes shipping information and order details to an endpoint.
The developer needs to test the workflow to confirm that the HTTP headers and body are correct and that the responses meet expectations.
- A. Use the TestState API to invoke only the HTTP Task. Set the inspection level to TRACE.
- B. Use the TestState API to invoke the state machine. Set the inspection level to DEBUG.
- C. Use the data flow simulator to invoke only the HTTP Task. View the request and response data.
- D. Change the log level of the state machine to ALL. Run the state machine.
Answer: A
Explanation:
Comprehensive and Detailed Step-by-Step
To confirm that the HTTP headers, body, and responses meet expectations, you need to test the specific HTTP Task state in isolation and inspect the details.
Option A: TestState API with TRACE:
The TestState API allows developers to test individual states in a state machine without executing the entire workflow.
Setting the inspection level to TRACE provides detailed information about the HTTP request and response, including headers, body, and status codes.
This option provides the precise and granular testing required to verify the HTTP Task functionality.
Why Other Options Are Incorrect:
Option B: The DEBUG inspection level provides less detailed information than TRACE and focuses on general debugging, not a detailed view of HTTP interactions.
Option C: Step Functions does not have a "data flow simulator" to test individual tasks; this option is not valid.
Option D: Changing the state machine's log level to ALL increases logging granularity for the entire state machine but does not allow isolated testing of a specific HTTP Task.
Reference:
AWS Step Functions: Testing State Machines
NEW QUESTION # 572
A developer is investigating an issue in part of a company's application. In the application messages are sent to an Amazon Simple Queue Service (Amazon SQS) queue The AWS Lambda function polls messages from the SQS queue and sends email messages by using Amazon Simple Email Service (Amazon SES) Users have been receiving duplicate email messages during periods of high traffic.
Which reasons could explain the duplicate email messages? (Select TWO.)
- A. Standard SQS queues support at-least-once message delivery
- B. The SQS queue's visibility timeout is lower than or the same as the Lambda function's timeout.
- C. The Amazon SES bounce rate metric is too high.
- D. Amazon SES has the DomainKeys Identified Mail (DKIM) authentication incorrectly configured
- E. Standard SQS queues support exactly-once processing, so the duplicate email messages are because of user error.
Answer: A
Explanation:
SQS Delivery Behavior: Standard SQS queues guarantee at-least-once delivery, meaning messages may be processed more than once. This can lead to duplicate emails in this scenario.
Visibility Timeout: If the visibility timeout on the SQS queue is too short, a message might become visible for another consumer before the first Lambda function finishes processing it. This can also lead to duplicates.
Reference:
Amazon SQS Delivery Semantics: [invalid URL removed]
Amazon SQS Visibility Timeout: https://docs.aws.amazon.com/AWSSimpleQueueService/latest/SQSDeveloperGuide/sqs-visibility-timeout.html
NEW QUESTION # 573
A developer is optimizing an AWS Lambda function and wants to test the changes in production on a small percentage of all traffic. The Lambda function serves requests to a REST API in Amazon API Gateway. The developer needs to deploy their changes and perform a test in production without changing the API Gateway URL.
Which solution will meet these requirements?
- A. Define an alias on the $LATEST version of the Lambda function. Update the API Gateway endpoint to reference the new Lambda function alias. Upload and publish the optimized Lambda function code. On the production API Gateway stage, define a canary release and set the percentage of traffic to direct to the canary release. Update the API Gateway endpoint to use the SLAT EST version of the Lambda function. Publish to the canary stage.
- B. Define a function version for the currently deployed production Lambda function. Update the API Gateway endpoint to reference the new Lambda function version. Upload and publish the optimized Lambda function code. Update the API Gateway endpoint to use the $LATEST version of the Lambda function. Deploy the API to the production API Gateway stage.
- C. Define a function version for the currently deployed production Lambda function. Update the API Gateway endpoint to reference the new Lambda function version. Upload and publish the optimized Lambda function code. Update the API Gateway endpoint to use the $LATEST version of the Lambda function. Deploy a new API Gateway stage.
- D. Define a function version for the currently deployed production Lambda function. Update the API Gateway endpoint to reference the new Lambda function version. Upload and publish the optimized Lambda function code. On the production API Gateway stage, define a canary release and set the percentage of traffic to direct to the canary release. Update the API Gateway endpoint to use the
$LATEST version of the Lambda function. Publish the API to the canary stage.
Answer: A
Explanation:
* A Lambda alias is a pointer to a specific Lambda function version or another alias1. A Lambda alias allows you to invoke different versions of a function using the same name1. You can also split traffic between two aliases by assigning weights to them1.
* In this scenario, the developer needs to test their changes in production on a small percentage of all traffic without changing the API Gateway URL. To achieve this, the developer can follow these steps:
* Define an alias on the $LATEST version of the Lambda function. This will create a new alias that points to the latest code of the function.
* Update the API Gateway endpoint to reference the new Lambda function alias. This will make the API Gateway invoke the alias instead of a specific version of the function.
* Upload and publish the optimized Lambda function code. This will update the $LATEST version of the function with the new code.
* On the production API Gateway stage, define a canary release and set the percentage of traffic to direct to the canary release. This will enable API Gateway to perform a canary deployment on a new API2. A canary deployment is a software development strategy in which a new version of an API is deployed for testing purposes, and the base version remains deployed as a production release for normal operations on the same stage2. The canary release receives a small percentage of API traffic and the production release takes up the rest2.
* Update the API Gateway endpoint to use the $LATEST version of the Lambda function. This will
* make the canary release invoke the latest code of the function, which contains the optimized changes.
* Publish to the canary stage. This will deploy the changes to a subset of users for testing.
* By using this solution, the developer can test their changes in production on a small percentage of all traffic without changing the API Gateway URL. The developer can also monitor and compare metrics between the canary and production releases, and promote or disable the canary as needed2.
NEW QUESTION # 574
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) 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.
- 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) 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.
Answer: B
Explanation:
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 # 575
A developer is setting up infrastructure by using AWS Cloud Formation. If an error occurs when the resources described in the CloudFormation template are provisioned, successfully provisioned resources must be preserved. The developer must provision and update the CloudFormation stack by using the AWS CLI.
Which solution will meet these requirements?
- A. Add an --enable-terminal ion-protection command line option to the create-stack command and the update-stack command.
- B. Add a -tags Key=PreserveResources.VaIue=True command line option to the create-stack command and the update-stack command.
- C. Add a -disable-roll back command line option to the create-stack command and the update-stack command
- D. Add a -parameters ParameterKey=P reserve Resources. ParameterVaIue=True command line option to the create-stack command and the update-stack command.
Answer: C
NEW QUESTION # 576
......
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