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| Section | Weight | Objectives |
|---|
| Topic 1: Troubleshooting and Optimization | 18% | - Instrument code for observability
- 1. AWS X-Ray
- 2. Structured logging
- 3. Amazon CloudWatch alarms
- 4. Amazon CloudWatch metrics
- 5. Custom metrics
- Optimize applications by using AWS services and features
- 1. Cost optimization
- 2. Concurrency and throttling
- 3. Caching strategies (ElastiCache, CloudFront)
- 4. Data storage optimization
- 5. Memory and compute optimization
- Assist in a root cause analysis
- 1. Amazon CloudWatch Logs
- 2. Application logging
- 3. AWS X-Ray
- 4. AWS CloudTrail
- 5. Error handling and retries
|
| Topic 2: Security | 26% | - Manage sensitive data in application code
- 1. AWS Secrets Manager
- 2. Encryption of data at rest and in transit
- 3. Environment variables
- 4. AWS Systems Manager Parameter Store
- Implement encryption by using AWS services
- 1. AWS Secrets Manager
- 2. Amazon S3 encryption
- 3. AWS KMS
- 4. AWS CloudHSM
- 5. AWS Certificate Manager
- Implement authentication and/or authorization for applications and AWS services
- 1. Bearer tokens (JWT, OAuth, AWS STS)
- 2. Identity federation (SAML, OpenID Connect, Amazon Cognito)
- 3. Resource-based policies, service policies, and principal policies
- 4. Role-based access control (RBAC)
- 5. User pools and identity pools in Amazon Cognito
|
| Topic 3: Deployment | 24% | - Prepare application artifacts to be deployed to AWS
- 1. Lambda deployment packages
- 2. AWS CDK
- 3. AWS SAM
- 4. AWS CloudFormation
- 5. Docker containers
- Automate deployment testing
- 1. AWS CodeBuild
- 2. AWS CodeCommit
- 3. AWS CodeDeploy
- 4. AWS CodePipeline
- Deploy code by using AWS CI/CD services
- 1. AWS CodeBuild
- 2. Canary deployments
- 3. AWS CodeCommit
- 4. AWS CodeDeploy
- 5. AWS CodePipeline
- 6. GitHub integration
- 7. Blue/green deployments
- 8. Rolling deployments
- Test applications in development environments
- 1. Local testing of Lambda functions
- 2. AWS SAM local
- 3. Mocking AWS services
|
| Topic 4: Development with AWS Services | 32% | - Develop code for applications hosted on AWS
- 1. AWS CLI
- 2. Amazon Cognito
- 3. Amazon SQS
- 4. Amazon API Gateway
- 5. Amazon S3
- 6. AWS Lambda
- 7. Amazon DynamoDB
- 8. AWS CloudFormation
- 9. AWS SDKs
- 10. Amazon SNS
- Use data stores in application development
- 1. Amazon RDS
- 2. Amazon ElastiCache
- 3. Amazon S3
- 4. Amazon DynamoDB
- 5. Amazon EFS
- Develop code for AWS serverless applications
- 1. AWS AppSync
- 2. Amazon API Gateway
- 3. Amazon EventBridge
- 4. AWS Step Functions
|
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Amazon AWS Certified Developer - Associate Sample Questions (Q244-Q249):
NEW QUESTION # 244
A company has deployed an application on AWS Elastic Beanstalk. The company has configured the Auto Scaling group that is associated with the Elastic Beanstalk environment to have five Amazon EC2 instances. If the capacity is fewer than four EC2 instances during the deployment, application performance degrades. The company is using the all-at-once deployment policy.
What is the MOST cost-effective way to solve the deployment issue?
- A. Change the deployment policy to rolling with additional batch. Specify a batch size of 1.
- B. Change the Auto Scaling group to six desired instances.
- C. Change the deployment policy to traffic splitting. Specify an evaluation time of 1 hour.
- D. Change the deployment policy to rolling. Specify a batch size of 2.
Answer: A
Explanation:
This solution will solve the deployment issue by deploying the new version of the application to one new EC2 instance at a time, while keeping the old version running on the existing instances. This way, there will always be at least four instances serving traffic during the deployment, and no downtime or performance degradation will occur. Option A is not optimal because it will increase the cost of running the Elastic Beanstalk environment without solving the deployment issue. Option B is not optimal because it will split the traffic between two versions of the application, which may cause inconsistency and confusion for the customers. Option D is not optimal because it will deploy the new version of the application to two existing instances at a time, which may reduce the capacity below four instances during the deployment.
NEW QUESTION # 245
A developer is creating an application that reads and writes to multiple Amazon S3 buckets. The application will be deployed to an Amazon EC2 instance. The developer wants to make secure API requests from the EC2 instances without the need to manage the security credentials for the application. The developer needs to apply the principle of least privilege.
Which solution will meet these requirements?
- A. Create an IAM user. Create access keys and secret keys for the user. Associate the user with an IAM policy that allows s3:* permissions.
- B. Associate the EC2 instance with an IAM role that has an AmazonS3FullAccess AWS managed policy.
- C. Create a bucket policy on the S3 bucket that allows s3:ListBucket and s3:*Object permissions to the EC2 instance.
- D. Associate the EC2 instance with an IAM role that has an IAM policy that allows s3:ListBucket and s3:*Object permissions for specific S3 buckets.
Answer: D
NEW QUESTION # 246
A developer is building an application that includes an AWS Lambda function that is written in .NET Core.
The Lambda function's code needs to interact with Amazon DynamoDB tables and Amazon S3 buckets. The developer must minimize the Lambda function's deployment time and invocation duration.
Which solution will meet these requirements?
- A. Include the entire AWS SDK for .NET in the Lambda function's deployment package.
- B. Configure the Lambda function to download the AWS SDK for .NET from an S3 bucket at runtime.
- C. Include only the AWS SDK for .NET modules for DynamoDB and Amazon S3 in the Lambda function's deployment package.
- D. Increase the Lambda function's memory.
Answer: C
NEW QUESTION # 247
A Developer has been asked to build a real-time dashboard web application to visualize the key prefixes and storage size of objects in Amazon S3 buckets. Amazon DynamoDB will be used to store the Amazon S3 metadata.
What is the optimal and MOST cost-effective design to ensure that the real-time dashboard is kept up to date with the state of the objects in the Amazon S3 buckets?
- A. Use an Amazon CloudWatch event backed by an AWS Lambda function. Issue an Amazon S3 API call to get a list of all Amazon S3 objects and persist the metadata within DynamoDB. Have the web application poll the DynamoDB table to reflect this change.
- B. Use Amazon S3 Event Notification backed by a Lambda function to persist the metadata into DynamoDB. Have the web application poll the DynamoDB table to reflect this change.
- C. Create a new Amazon EMR cluster to get all the metadata about Amazon S3 objects; persist the metadata into DynamoDB. Have the web application poll the DynamoDB table to reflect this change.
- D. Run a cron job within an Amazon EC2 instance to list all objects within Amazon S3 and persist the metadata into DynamoDB. Have the web application poll the DynamoDB table to reflect this change.
Answer: B
Explanation:
Cloudwatch notifications are at best every minute at extra cost. Lambda off an S3 notification will provide real-time data and lambda is the most cost effective processing method.
NEW QUESTION # 248
A development team is creating a serverless application that uses AWS Lambda functions. The team wants to streamline a testing workflow by sharing test events across multiple developers within the same AWS account. The team wants to ensure all developers can use consistent test events without compromising security.
- A. Set up a Git repository to store test events. Provide the developers with access to the repository.
- B. Export test events as JSON files. Store the files in an Amazon S3 bucket. Configure granular IAM permissions to allow the developers to access the S3 bucket.
- C. Configure test events to be shareable. Configure granular IAM permissions to allow the developers to access shared test events.
- D. Store test events in an Amazon DynamoDB table. Create an AWS Lambda function to retrieve shared test events for the developers.
Answer: B
Explanation:
Comprehensive and Detailed Step-by-Step
Option A: Use Amazon S3 for Shared Test Events:
Storing JSON test event files in an S3 bucket provides a centralized, cost-effective, and highly available solution.
Granular IAM policies can restrict access to specific developers or roles, ensuring security while maintaining consistency for shared test events.
This solution has minimal operational overhead and integrates easily with existing workflows.
Why Other Options Are Incorrect:
Option B: Using DynamoDB and a Lambda function introduces unnecessary complexity for a relatively simple requirement. S3 provides a simpler and more cost-efficient solution.
Option C: AWS Lambda test events are not inherently shareable across developers, making this option invalid.
Option D: Using a Git repository adds operational overhead and requires developers to clone/update repositories for access, which is more cumbersome compared to S3.
Reference:
Amazon S3 for Centralized Storage
NEW QUESTION # 249
......
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