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| Section | Weight | Objectives |
|---|
| Topic 1: Security | 26% | - 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. User pools and identity pools in Amazon Cognito
- 4. Role-based access control (RBAC)
- 5. Bearer tokens (JWT, OAuth, AWS STS)
- Implement encryption by using AWS services
- 1. AWS Certificate Manager
- 2. AWS Secrets Manager
- 3. AWS CloudHSM
- 4. AWS KMS
- 5. Amazon S3 encryption
- 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
|
| Topic 2: Troubleshooting and Optimization | 18% | - Optimize applications by using AWS services and features
- 1. Memory and compute optimization
- 2. Concurrency and throttling
- 3. Caching strategies (ElastiCache, CloudFront)
- 4. Cost optimization
- 5. Data storage optimization
- Instrument code for observability
- 1. Amazon CloudWatch metrics
- 2. Custom metrics
- 3. Amazon CloudWatch alarms
- 4. AWS X-Ray
- 5. Structured logging
- Assist in a root cause analysis
- 1. AWS CloudTrail
- 2. AWS X-Ray
- 3. Amazon CloudWatch Logs
- 4. Error handling and retries
- 5. Application logging
|
| Topic 3: Development with AWS Services | 32% | - Develop code for AWS serverless applications
- 1. AWS Step Functions
- 2. Amazon API Gateway
- 3. Amazon EventBridge
- 4. AWS AppSync
- Use data stores in application development
- 1. Amazon RDS
- 2. Amazon S3
- 3. Amazon DynamoDB
- 4. Amazon EFS
- 5. Amazon ElastiCache
- Develop code for applications hosted on AWS
- 1. Amazon S3
- 2. Amazon SQS
- 3. Amazon DynamoDB
- 4. AWS SDKs
- 5. Amazon Cognito
- 6. AWS CloudFormation
- 7. Amazon SNS
- 8. Amazon API Gateway
- 9. AWS CLI
- 10. AWS Lambda
|
| Topic 4: Deployment | 24% | - Test applications in development environments
- 1. Mocking AWS services
- 2. AWS SAM local
- 3. Local testing of Lambda functions
- Prepare application artifacts to be deployed to AWS
- 1. AWS SAM
- 2. Lambda deployment packages
- 3. Docker containers
- 4. AWS CloudFormation
- 5. AWS CDK
- Deploy code by using AWS CI/CD services
- 1. AWS CodeCommit
- 2. Canary deployments
- 3. Blue/green deployments
- 4. AWS CodeDeploy
- 5. GitHub integration
- 6. AWS CodePipeline
- 7. Rolling deployments
- 8. AWS CodeBuild
- Automate deployment testing
- 1. AWS CodeCommit
- 2. AWS CodeDeploy
- 3. AWS CodePipeline
- 4. AWS CodeBuild
|
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Amazon AWS Certified Developer - Associate Sample Questions (Q842-Q847):
NEW QUESTION # 842
A developer is writing an application for a company. The application will be deployed on Amazon EC2 and will use an Amazon RDS for Microsoft SQL Server database. The company's security team requires that database credentials are rotated at least weekly.
How should the developer configure the database credentials for this application?
- A. Enable IAM authentication for the database. Create a database user for use with IAM authentication. Enable password rotation.
- B. Use the EC2 user data to create a database user. Provide the user name and password in environment variables to the application.
- C. Create a database user. Store the user name and password in an AWS Systems Manager Parameter Store secure string parameter. Enable rotation of the AWS Key Management Service (AWS KMS) key that is used to encrypt the parameter.
- D. Create a database user. Store the user name and password in an AWS Secrets Manager secret that has daily rotation enabled.
Answer: D
Explanation:
Create a database user. Store the user name and password in an AWS Secrets Manager secret that has daily rotation enabled. This will allow the developer to securely store the database credentials and automatically rotate them at least weekly to meet the company's security requirements.
NEW QUESTION # 843
A company runs a critical application on Amazon Elastic Container Service (Amazon ECS) by using Amazon EC2 instances. The company needs to migrate the application to Amazon ECS on AWS Fargate. A developer is configuring Fargate and the ECS capacity providers to make the change.
Which solution will meet these requirements with the LEAST downtime during migration?
- A. Use the PutClusterCapacityProviders API operation to associate the ECS cluster with the FARGATE and FARGATE_SPOT capacity provider strategies. Use FARGATE_SPOT as Provider 1 with a base value. Use FARGATE as Provider 2 for failover.
- B. Use the CreateCapacityProvider API operation to associate the ECS cluster with the FARGATE and FARGATE_SPOT capacity provider strategies. Use FARGATE as Provider 1 with a base value. Use FARGATE_SPOT as Provider 2 for failover.
- C. Use the CreateCapacityProvider API operation to associate the ECS cluster with the FARGATE and FARGATE_SPOT capacity provider strategies. Use FARGATE_SPOT as Provider 1 with a base value. Use FARGATE as Provider 2 for failover.
- D. Use the PutClusterCapacityProviders API operation to associate the ECS cluster with the FARGATE and FARGATE_SPOT capacity provider strategies. Use FARGATE as Provider 1 with a base value. Use FARGATE_SPOT as Provider 2 for failover.
Answer: D
NEW QUESTION # 844
A company hosts a client-side web application for one of its subsidiaries on Amazon S3. The web application can be accessed through Amazon CloudFront from https://www.example.com. After a successful rollout, the company wants to host three more client-side web applications for its remaining subsidiaries on three separate S3 buckets.
To achieve this goal, a developer moves all the common JavaScript files and web fonts to a central S3 bucket that serves the web applications. However, during testing, the developer notices that the browser blocks the JavaScript files and web fonts.
What should the developer do to prevent the browser from blocking the JavaScript files and web fonts?
- A. Create a Content-MD5 header that provides a message integrity check for the central S3 bucket. Insert the Content-MD5 header for each web application request.
- B. Create a bucket policy that allows access to the central S3 bucket. Attach the bucket policy to the central S3 bucket.
- C. Create four access points that allow access to the central S3 bucket. Assign an access point to each web application bucket.
- D. Create a cross-origin resource sharing (CORS) configuration that allows access to the central S3 bucket.
Add the CORS configuration to the central S3 bucket.
Answer: D
NEW QUESTION # 845
A developer is creating an application that will give users the ability to store photos from their cellphones in the cloud. The application needs to support tens of thousands of users. The application uses an Amazon API Gateway REST API that is integrated with AWS Lambda functions to process the photos. The application stores details about the photos in Amazon DynamoDB.
Users need to create an account to access the application. In the application, users must be able to upload photos and retrieve previously uploaded photos. The photos will range in size from 300 KB to 5 MB.
Which solution will meet these requirements with the LEAST operational overhead?
- A. Create a users table in DynamoDB. Use the table to manage user accounts. Create a Lambda authorizer that validates user credentials against the users table. Integrate the Lambda authorizer with API Gateway to control access to the API. Use the Lambda function to store the photos in Amazon S3. Store the object's S3 key as part of the photo details in the DynamoDB table.Retrieve previously uploaded photos by querying DynamoDB for the S3 key.
- B. Use Amazon Cognito user pools to manage user accounts. Create an Amazon Cognito user pool authorizer in API Gateway to control access to the API. Use the Lambda function to store the photos in Amazon S3. Store the object's S3 key as part of the photo details in the DynamoDB table. Retrieve previously uploaded photos by querying DynamoDB for the S3 key.
- C. Create an IAM user for each user of the application during the sign-up process. Use IAM authentication to access the API Gateway API. Use the Lambda function to store the photos in Amazon S3. Store the object's S3 key as part of the photo details in the DynamoDB table.
Retrieve previously uploaded photos by querying DynamoDB for the S3 key. - D. Use Amazon Cognito user pools to manage user accounts. Create an Amazon Cognito user pool authorizer in API Gateway to control access to the API. Use the Lambda function to store the photos and details in the DynamoDB table. Retrieve previously uploaded photos directly from the DynamoDB table.
Answer: B
Explanation:
Amazon Cognito user pools provide managed user registration, authentication, and integration with API Gateway through a user pool authorizer. Amazon S3 is the appropriate storage service for photo objects, while DynamoDB should store metadata such as the user ID, photo details, and S3 object key for efficient lookup and retrieval.
NEW QUESTION # 846
A developer is using an AWS Lambda function to generate avatars for profile pictures that are uploaded to an Amazon S3 bucket. The Lambda function is automatically invoked for profile pictures that are saved under the /original/ S3 prefix. The developer notices that some pictures cause the Lambda function to time out. The developer wants to implement a fallback mechanism by using another Lambda function that resizes the profile picture.
Which solution will meet these requirements with the LEAST development effort?
- A. Set the image resize Lambda function as a destination of the avatar generator Lambda function for the events that fail processing.
- B. Create an AWS Step Functions state machine that invokes the avatar generator Lambda function and uses the image resize Lambda function as a fallback. Create an Amazon EventBridge rule that matches events from the S3 bucket to invoke the state machine.
- C. Create an Amazon Simple Notification Service (Amazon SNS) topic. Set the SNS topic as a destination with an on failure condition for the avatar generator Lambda function. Subscribe the image resize Lambda function to the SNS topic.
- D. Create an Amazon Simple Queue Service (Amazon SQS) queue. Set the SQS queue as a destination with an on failure condition for the avatar generator Lambda function. Configure the image resize Lambda function to poll from the SQS queue.
Answer: A
Explanation:
The solution that will meet the requirements with the least development effort is to set the image resize Lambda function as a destination of the avatar generator Lambda function for the events that fail processing.
This way, the fallback mechanism is automatically triggered by the Lambda service without requiring any additional components or configuration. The other options involve creating and managing additional resources such as queues, topics, state machines, or rules, which would increase the complexity and cost of the solution.
Reference: Using AWS Lambda destinations
NEW QUESTION # 847
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