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| Section | Weight | Objectives |
|---|
| Security | 26% | - Manage sensitive data in application code
- 1. AWS Secrets Manager
- 2. Encryption of data at rest and in transit
- 3. AWS Systems Manager Parameter Store
- 4. Environment variables
- Implement encryption by using AWS services
- 1. AWS Certificate Manager
- 2. AWS Secrets Manager
- 3. AWS KMS
- 4. AWS CloudHSM
- 5. Amazon S3 encryption
- Implement authentication and/or authorization for applications and AWS services
- 1. Resource-based policies, service policies, and principal policies
- 2. Role-based access control (RBAC)
- 3. Identity federation (SAML, OpenID Connect, Amazon Cognito)
- 4. User pools and identity pools in Amazon Cognito
- 5. Bearer tokens (JWT, OAuth, AWS STS)
|
| Development with AWS Services | 32% | - Use data stores in application development
- 1. Amazon RDS
- 2. Amazon EFS
- 3. Amazon DynamoDB
- 4. Amazon S3
- 5. Amazon ElastiCache
- Develop code for AWS serverless applications
- 1. AWS AppSync
- 2. Amazon EventBridge
- 3. Amazon API Gateway
- 4. AWS Step Functions
- Develop code for applications hosted on AWS
- 1. Amazon DynamoDB
- 2. Amazon SNS
- 3. Amazon API Gateway
- 4. AWS CLI
- 5. Amazon Cognito
- 6. AWS SDKs
- 7. Amazon S3
- 8. AWS CloudFormation
- 9. Amazon SQS
- 10. AWS Lambda
|
| Deployment | 24% | - Test applications in development environments
- 1. Local testing of Lambda functions
- 2. AWS SAM local
- 3. Mocking AWS services
- Prepare application artifacts to be deployed to AWS
- 1. Docker containers
- 2. AWS CloudFormation
- 3. AWS CDK
- 4. Lambda deployment packages
- 5. AWS SAM
- Deploy code by using AWS CI/CD services
- 1. Blue/green deployments
- 2. AWS CodeBuild
- 3. AWS CodeDeploy
- 4. GitHub integration
- 5. AWS CodePipeline
- 6. Rolling deployments
- 7. AWS CodeCommit
- 8. Canary deployments
- Automate deployment testing
- 1. AWS CodeBuild
- 2. AWS CodeDeploy
- 3. AWS CodePipeline
- 4. AWS CodeCommit
|
| Troubleshooting and Optimization | 18% | - Instrument code for observability
- 1. Custom metrics
- 2. Structured logging
- 3. Amazon CloudWatch metrics
- 4. AWS X-Ray
- 5. Amazon CloudWatch alarms
- Assist in a root cause analysis
- 1. Error handling and retries
- 2. AWS X-Ray
- 3. Application logging
- 4. Amazon CloudWatch Logs
- 5. AWS CloudTrail
- Optimize applications by using AWS services and features
- 1. Memory and compute optimization
- 2. Cost optimization
- 3. Caching strategies (ElastiCache, CloudFront)
- 4. Data storage optimization
- 5. Concurrency and throttling
|
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Amazon AWS Certified Developer - Associate Sample Questions (Q15-Q20):
NEW QUESTION # 15
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. 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.
- 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. 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.
- 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 # 16
A developer is building an application that gives users the ability to view bank account from multiple sources in a single dashboard. The developer has automated the process to retrieve API credentials for these sources.
The process invokes an AWS Lambda function that is associated with an AWS CloudFormation cotton resource.
The developer wants a solution that will store the API credentials with minimal operational overhead.
When solution will meet these requirements?
- A. Use the AWS SDK ssm PutParameter operation in the Lambda function from the existing custom resources to store the credentials as a parameter. Set the parameter value to reference the new credentials. Set the parameter NoEcho attribute to true.
- B. Add an AWS Secrets Manager GenerateSecretString resource to the CloudFormation template. Set the value to reference new credentials to the Cloudformation resource.
- C. Add an AWS Systems Manager Parameter Store resource to the CloudFormation template. Set the CloudFormation resource value to reference the new credentials Set the resource NoEcho attribute to true.
- D. Use the AWS SDK ssm PutParameter operation in the Lambda function from the existing, custom resource to store the credentials as a parameter. Set the parameter value to reference the new credentials. Set ma parameter type to SecureString.
Answer: D
Explanation:
Explanation
The solution that will meet the requirements is to use the AWS SDK ssm PutParameter operation in the Lambda function from the existing custom resource to store the credentials as a parameter. Set the parameter value to reference the new credentials. Set the parameter type to SecureString. This way, the developer can store the API credentials with minimal operational overhead, as AWS Systems Manager Parameter Store provides secure and scalable storage for configuration data. The SecureString parameter type encrypts the parameter value with AWS Key Management Service (AWS KMS). The other options either involve adding additional resources to the CloudFormation template, which increases complexity and cost, or do not encrypt the parameter value, which reduces security.
NEW QUESTION # 17
A company built an online event platform For each event the company organizes quizzes and generates leaderboards that are based on the quiz scores. The company stores the leaderboard data in Amazon DynamoDB and retains the data for 30 days after an event is complete The company then uses a scheduled job to delete the old leaderboard data The DynamoDB table is configured with a fixed write capacity. During the months when many events occur, the DynamoDB write API requests are throttled when the scheduled delete job runs.
A developer must create a long-term solution that deletes the old leaderboard data and optimizes write throughput Which solution meets these requirements?
- A. Use DynamoDB Streams to schedule and delete the leaderboard data
- B. Use AWS Step Functions to schedule and delete the leaderboard data.
- C. Configure a TTL attribute for the leaderboard data
- D. Set a higher write capacity when the scheduled delete job runs
Answer: C
Explanation:
DynamoDB TTL (Time-to-Live): A native feature that automatically deletes items after a specified expiration time.
Efficiency: Eliminates the need for scheduled deletion jobs, optimizing write throughput by avoiding potential throttling conflicts.
Seamless Integration: TTL works directly within DynamoDB, requiring minimal development overhead.
Reference:
DynamoDB TTL Documentation: https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/TTL.html
NEW QUESTION # 18
A company is building a new application that runs on AWS and uses Amazon API Gateway to expose APIs Teams of developers are working on separate components of the application in parallel The company wants to publish an API without an integrated backend so that teams that depend on the application backend can continue the development work before the API backend development is complete.
Which solution will meet these requirements?
- A. Create API Gateway resources and set the integration type value to MOCK Configure the method integration request and integration response to associate a response with an HTTP status code Create an API Gateway stage and deploy the API.
- B. Create API Gateway resources and set the integration type value set to HTTP_PROXY. Add mapping templates and deploy the API. Create an AWS Lambda layer that returns various HTTP status codes Associate the Lambda layer with the API deployment
- C. Create an EC2 application that returns mocked HTTP responses Create API Gateway resources and set the integration type value to AWS Create an API Gateway stage and deploy the API.
- D. Create an AWS Lambda function that returns mocked responses and various HTTP status codes. Create API Gateway resources and set the integration type value to AWS_PROXY Deploy the API.
Answer: A
Explanation:
API Gateway Mocking: This feature is built for decoupling development dependencies. Here's the process:
Create resources and methods in your API Gateway.
Set the integration type to 'MOCK'.
Define Integration Responses, mapping HTTP status codes to desired mocked responses (JSON, etc.).
Deployment and Use:
Create a deployment stage for the API.
Frontend teams can call this API and get the mocked responses without a real backend.
Reference:
Mocking API Gateway APIs: https://docs.aws.amazon.com/apigateway/latest/developerguide/how-to-mock-integration.html
NEW QUESTION # 19
A company runs an AWS CodeBuild project on medium-sized Amazon EC2 instances. The company wants to cost optimize the project and reduce the provisioning time.
Which solution will meet these requirements?
- A. Select AWS Lambda as the compute mode for the CodeBuild project.
- B. Configure the project to run on a CodeBuild reserved capacity fleet.
- C. Set up Amazon S3 caching for the CodeBuild project.
- D. Configure the project to run on a CodeBuild on-demand fleet.
Answer: C
Explanation:
CodeBuild supports S3 caching to store intermediate build artifacts and dependencies. This reduces the time required to download dependencies during subsequent builds, effectively lowering costs and improving build performance.
By using S3 caching, developers can optimize costs without changing the compute type or adding complexity.
NEW QUESTION # 20
......
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