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| Section | Weight | Objectives |
|---|
| Security | 26% | - Implement encryption by using AWS services
- 1. AWS Certificate Manager
- 2. AWS CloudHSM
- 3. AWS Secrets Manager
- 4. AWS KMS
- 5. Amazon S3 encryption
- Manage sensitive data in application code
- 1. Encryption of data at rest and in transit
- 2. AWS Systems Manager Parameter Store
- 3. Environment variables
- 4. AWS Secrets Manager
- Implement authentication and/or authorization for applications and AWS services
- 1. Resource-based policies, service policies, and principal policies
- 2. Identity federation (SAML, OpenID Connect, Amazon Cognito)
- 3. Bearer tokens (JWT, OAuth, AWS STS)
- 4. User pools and identity pools in Amazon Cognito
- 5. Role-based access control (RBAC)
|
| Troubleshooting and Optimization | 18% | - Optimize applications by using AWS services and features
- 1. Cost optimization
- 2. Data storage optimization
- 3. Caching strategies (ElastiCache, CloudFront)
- 4. Memory and compute optimization
- 5. Concurrency and throttling
- Assist in a root cause analysis
- 1. AWS X-Ray
- 2. AWS CloudTrail
- 3. Application logging
- 4. Error handling and retries
- 5. Amazon CloudWatch Logs
- Instrument code for observability
- 1. AWS X-Ray
- 2. Amazon CloudWatch alarms
- 3. Structured logging
- 4. Custom metrics
- 5. Amazon CloudWatch metrics
|
| Development with AWS Services | 32% | - Develop code for AWS serverless applications
- 1. AWS AppSync
- 2. Amazon API Gateway
- 3. Amazon EventBridge
- 4. AWS Step Functions
- Use data stores in application development
- 1. Amazon RDS
- 2. Amazon DynamoDB
- 3. Amazon ElastiCache
- 4. Amazon S3
- 5. Amazon EFS
- Develop code for applications hosted on AWS
- 1. Amazon DynamoDB
- 2. AWS CloudFormation
- 3. Amazon S3
- 4. Amazon SQS
- 5. Amazon Cognito
- 6. Amazon API Gateway
- 7. AWS SDKs
- 8. Amazon SNS
- 9. AWS CLI
- 10. AWS Lambda
|
| Deployment | 24% | - Automate deployment testing
- 1. AWS CodeCommit
- 2. AWS CodePipeline
- 3. AWS CodeBuild
- 4. AWS CodeDeploy
- Prepare application artifacts to be deployed to AWS
- 1. AWS CDK
- 2. AWS CloudFormation
- 3. Docker containers
- 4. Lambda deployment packages
- 5. AWS SAM
- Test applications in development environments
- 1. Mocking AWS services
- 2. Local testing of Lambda functions
- 3. AWS SAM local
- Deploy code by using AWS CI/CD services
- 1. Blue/green deployments
- 2. GitHub integration
- 3. Canary deployments
- 4. AWS CodeCommit
- 5. Rolling deployments
- 6. AWS CodePipeline
- 7. AWS CodeBuild
- 8. AWS CodeDeploy
|
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Amazon AWS Certified Developer - Associate Sample Questions (Q377-Q382):
NEW QUESTION # 377
An application that runs on AWS Lambda requires access to specific highly confidential objects in an Amazon S3 bucket. In accordance with the principle of least privilege, a company grants access to the S3 bucket by using only temporary credentials.
How can a developer configure access to the S3 bucket in the MOST secure way?
- A. Create a secret access key and access key ID with permission to access the S3 bucket. Store the key and key ID in AWS Secrets Manager. Configure the application to retrieve the Secrets Manager secret and use the credentials to access the S3 objects.
- B. Hardcode the credentials that are required to access the S3 objects in the application code. Use the credentials to access the required S3 objects.
- C. Create a secret access key and access key ID with permission to access the S3 bucket. Store the key and key ID as environment variables in Lambda. Use the environment variables to access the required S3 objects.
- D. Create a Lambda function execution role. Attach a policy to the role that grants access to specific objects in the S3 bucket.
Answer: D
Explanation:
https://docs.aws.amazon.com/lambda/latest/operatorguide/least-privilege.html
NEW QUESTION # 378
A company's developer has deployed an application in AWS by using AWS CloudFormation. The CloudFormation stack includes parameters in AWS Systems Manager Parameter Store that the application uses as configuration settings. The application can modify the parameter values.
When the developer updated the stack to create additional resources with tags, the developer noted that the parameter values were reset and that the values ignored the latest changes made by the application. The developer needs to change the way the company deploys the CloudFormation stack. The developer also needs to avoid resetting the parameter values outside the stack.
Which solution will meet these requirements with the LEAST development effort?
- A. Modify the CloudFormation stack to set the deletion policy to Retain for the Parameter Store parameters.
- B. Create an Amazon RDS DB instance as a resource in the CloudFormation stack. Create a table in the database for parameter configuration. Migrate the parameters that the application is modifying from Parameter Store to the configuration table.
- C. Modify the CloudFormation stack policy to deny updates on Parameter Store parameters.
- D. Create an Amazon DynamoDB table as a resource in the CloudFormation stack to hold configuration data for the application. Migrate the parameters that the application is modifying from Parameter Store to the DynamoDB table.
Answer: A
NEW QUESTION # 379
A developer needs to freeze changes to an AWS CodeCommit repository before a production release. The developer will work on new features while a quality assurance (QA) team tests the release.
The QA testing and all bug fixes must take place in isolation from the main branch. After the release, the developer must integrate all bug fixes into the main branch.
Which solution will meet these requirements?
- A. Create a Git tag on the latest Git commit that will be in the release. Continue developing new features, and merge the features into the main branch. Apply fixes to the main branch. Update the Git tag for the release to be on the latest commit on the main branch.
- B. Create a release branch from the latest Git commit that will be in the release. Apply fixes to the release branch. Continue developing new features, and merge the features into the main branch.
Merge the release branch into the main branch after the release. - C. Create a Git tag on the latest Git commit that will be in the release. Continue developing new features, and merge the features into the main branch. Apply the Git commits for fixes to the Git tag for the release.
- D. Create a release branch from the latest Git commit that will be in the release. Apply fixes to the release branch. Continue developing new features, and merge the features into the main branch.
Rebase the main branch onto the release branch after the release.
Answer: B
Explanation:
Create a release branch from the latest Git commit that will be in the release. Apply fixes to the release branch. Continue developing new features, and merge the features into the main branch.
Merge the release branch into the main branch after the release.
NEW QUESTION # 380
A developer is configuring an Amazon API Gateway REST API. The REST API contains a resource that implements a GET method. The GET method uses an integration request that has an integration type of Lambda function to invoke an AWS Lambda function. The developer configures the API to have multiple environment stages and stage variables.
During testing, the developer makes a single GET request to the API resource and received an
500 Internal Server Error. The developer must resolve the error.
Which solution will meet this requirement?
- A. Configure a resource-based policy on the Lambda function to grant the REST API permissions to call the backend integration.
- B. Configure the Lambda function to use a Lambda layer for the REST API.
- C. Deploy the REST API and the Lambda function in the same Availability Zone.
- D. Configure reserved concurrency for the Lambda function.
Answer: A
Explanation:
When API Gateway invokes a Lambda function, Lambda must explicitly allow that invocation.
This is done by adding a resource-based permission on the Lambda function that grants the API Gateway service (with the specific API/stage/method/resource ARN) the lambda:InvokeFunction permission. Missing or incorrect invoke permissions commonly results in API Gateway returning a
500 Internal Server Error for a Lambda integration.
NEW QUESTION # 381
A developer is creating a Java application that will store sensitive data in an Amazon DynamoDB table. The data must be encrypted at all times.
How can the developer meet this requirement?
- A. Enable encryption at rest by using an AWS Key Management Service (AWS KMS) AWS owned key for the DynamoDB table.
- B. Implement client-side encryption in the application code by using the DynamoDB Encryption Client.
- C. Enable encryption at rest by using an AWS Key Management Service (AWS KMS) customer managed key for the DynamoDB table.
- D. Use an HTTPS connection to encrypt data in transit.
Answer: B
Explanation:
With server-side encryption, TLS encrypts your data in transit over an HTTPS connection. Your data is decrypted at the DynamoDB endpoint, and then re-encrypted before being stored in DynamoDB. Client-side encryption provides end-to-end protection for your data from its source through storage in DynamoDB and back to you.
https://docs.aws.amazon.com/kms/latest/developerguide/services-dynamodb.html
NEW QUESTION # 382
......
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