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| Section | Weight | Objectives |
|---|
| Topic 1: Deployment | 24% | - Automate deployment testing
- 1. AWS CodeBuild
- 2. AWS CodePipeline
- 3. AWS CodeDeploy
- 4. AWS CodeCommit
- Prepare application artifacts to be deployed to AWS
- 1. AWS CDK
- 2. Lambda deployment packages
- 3. Docker containers
- 4. AWS CloudFormation
- 5. AWS SAM
- Deploy code by using AWS CI/CD services
- 1. AWS CodeBuild
- 2. GitHub integration
- 3. Rolling deployments
- 4. AWS CodePipeline
- 5. Canary deployments
- 6. AWS CodeDeploy
- 7. AWS CodeCommit
- 8. Blue/green deployments
- Test applications in development environments
- 1. AWS SAM local
- 2. Mocking AWS services
- 3. Local testing of Lambda functions
|
| Topic 2: Security | 26% | - Implement authentication and/or authorization for applications and AWS services
- 1. Role-based access control (RBAC)
- 2. User pools and identity pools in Amazon Cognito
- 3. Resource-based policies, service policies, and principal policies
- 4. Identity federation (SAML, OpenID Connect, Amazon Cognito)
- 5. Bearer tokens (JWT, OAuth, AWS STS)
- Implement encryption by using AWS services
- 1. AWS CloudHSM
- 2. Amazon S3 encryption
- 3. AWS KMS
- 4. AWS Secrets Manager
- 5. AWS Certificate Manager
- Manage sensitive data in application code
- 1. AWS Systems Manager Parameter Store
- 2. Encryption of data at rest and in transit
- 3. Environment variables
- 4. AWS Secrets Manager
|
| Topic 3: Troubleshooting and Optimization | 18% | - Instrument code for observability
- 1. Custom metrics
- 2. Amazon CloudWatch alarms
- 3. Amazon CloudWatch metrics
- 4. Structured logging
- 5. AWS X-Ray
- Assist in a root cause analysis
- 1. Amazon CloudWatch Logs
- 2. AWS CloudTrail
- 3. AWS X-Ray
- 4. Application logging
- 5. Error handling and retries
- Optimize applications by using AWS services and features
- 1. Data storage optimization
- 2. Caching strategies (ElastiCache, CloudFront)
- 3. Cost optimization
- 4. Memory and compute optimization
- 5. Concurrency and throttling
|
| Topic 4: Development with AWS Services | 32% | - Use data stores in application development
- 1. Amazon EFS
- 2. Amazon ElastiCache
- 3. Amazon S3
- 4. Amazon RDS
- 5. Amazon DynamoDB
- Develop code for AWS serverless applications
- 1. Amazon API Gateway
- 2. Amazon EventBridge
- 3. AWS AppSync
- 4. AWS Step Functions
- Develop code for applications hosted on AWS
- 1. Amazon API Gateway
- 2. Amazon SNS
- 3. Amazon Cognito
- 4. Amazon SQS
- 5. AWS SDKs
- 6. AWS CloudFormation
- 7. Amazon S3
- 8. AWS CLI
- 9. Amazon DynamoDB
- 10. AWS Lambda
|
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Amazon AWS Certified Developer - Associate Sample Questions (Q226-Q231):
NEW QUESTION # 226
A company needs to deploy all its cloud resources by using AWS CloudFormation templates A developer must create an Amazon Simple Notification Service (Amazon SNS) automatic notification to help enforce this rule. The developer creates an SNS topic and subscribes the email address of the company's security team to the SNS topic.
The security team must receive a notification immediately if an 1AM role is created without the use of CloudFormation.
Which solution will meet this requirement?
- A. Create an AWS Lambda function to filter events from CloudTrail if a role was created without CloudFormation Configure the Lambda function to publish to the SNS topic. Create an Amazon EventBridge schedule to invoke the Lambda function every 15 minutes
- B. Create an Amazon EventBridge rule to filter events from CloudTrail if a role was created without CloudFormation Specify the SNS topic as the target of the EventBridge rule.
- C. Create an AWS Fargate task in Amazon Elastic Container Service (Amazon ECS) to filter events from CloudTrail if a role was created without CloudFormation Configure the Fargate task to publish to the SNS topic Create an Amazon EventBridge schedule to run the Fargate task every 15 minutes
- D. Launch an Amazon EC2 instance that includes a script to filter events from CloudTrail if a role was created without CloudFormation. Configure the script to publish to the SNS topic. Create a cron job to run the script on the EC2 instance every 15 minutes.
Answer: B
Explanation:
Explanation
Creating an Amazon EventBridge rule is the most efficient and scalable way to monitor and react to events from CloudTrail, such as the creation of an IAM role without CloudFormation. EventBridge allows you to specify a filter pattern to match the events you are interested in, and then specify an SNS topic as the target to send notifications. This solution does not require any additional resources or code, and it can trigger notifications in near real-time. The other solutions involve creating and managing additional resources, such as Lambda functions, Fargate tasks, or EC2 instances, and they rely on polling CloudTrail events every 15 minutes, which can introduce delays and increase costs. References
* Using Amazon EventBridge rules to process AWS CloudTrail events
* Using AWS CloudFormation to create and manage AWS Batch resources
* How to use AWS CloudFormation to configure auto scaling for Amazon Cognito and AWS AppSync
* Using AWS CloudFormation to automate the creation of AWS WAF web ACLs, rules, and conditions
NEW QUESTION # 227
An Amazon Simple Queue Service (Amazon SQS) queue serves as an event source for an AWS Lambda function. In the SQS queue, each item corresponds to a video file that the Lambda function must convert to a smaller resolution. The Lambda function is timing out on longer video files, but the Lambda function's timeout is already configured to its maximum value.
What should a developer do to avoid the timeouts without additional code changes?
- A. Increase the visibility timeout on the SQS queue.
- B. Use multi-threading for the conversion.
- C. Increase the instance size of the host that runs the Lambda function.
- D. Increase the memory configuration of the Lambda function.
Answer: B
NEW QUESTION # 228
A developer is planning to use an Amazon API Gateway and AWS Lambda to provide a REST API. The developer will have three distinct environments to manage: development, test, and production.
How should the application be deployed while minimizing the number of resources to manage?
- A. Create one API Gateway and one Lambda function, and use a REST parameter to identify the environment.
- B. Assign a Region for each environment and deploy API Gateway and Lambda to each Region.
- C. Create one API Gateway with multiple stages with one Lambda function with multiple aliases.
- D. Create a separate API Gateway and separate Lambda function for each environment in the same Region.
Answer: C
NEW QUESTION # 229
A developer is building a microservices-based application by using Python on AWS and several AWS services The developer must use AWS X-Ray The developer views the service map by using the console to view the service dependencies. During testing, the developer notices that some services are missing from the service map What can the developer do to ensure that all services appear in the X-Ray service map?
- A. Enable X-Ray data aggregation in Amazon CloudWatch Logs for all the services that the application uses
- B. Instrument the application by using the X-Ray SDK for Python. Install the X-Ray SDK for all the services that the application uses
- C. Modify the X-Ray Python agent configuration in each service to increase the sampling rate
- D. Increase the X-Ray service map timeout value in the X-Ray console
Answer: B
Explanation:
* AWS X-Ray SDK: The primary way to enable X-Ray tracing within applications. The SDK sends data about requests and subsegments to the X-Ray daemon for service map generation.
* Instrumenting All Services: To visualize a complete microservice architecture on the service map, each relevant service must include the X-Ray SDK.
References:
* AWS X-Ray Documentation: https://docs.aws.amazon.com/xray/
* X-Ray SDK for Python: https://docs.aws.amazon.com/xray/latest/devguide/xray-sdk-python.html
NEW QUESTION # 230
A developer is trying get data from an Amazon DynamoDB table called demoman-table. The developer configured the AWS CLI to use a specific IAM use's credentials and ran the following command.

The command returned errors and no rows were returned.
What is the MOST likely cause of these issues?
- A. The IAM user needs an associated policy with read access to demoman-table
- B. Amazon DynamoOB cannot be accessed from the AWS CLI and needs to called via the REST API
- C. The developer needs to log a ticket with AWS Support to enable access to the demoman-table
- D. The command is incorrect; it should be rewritten to use put-item with a string argument
Answer: A
Explanation:
This solution will most likely solve the issues because it will grant the IAM user the necessary permission to access the DynamoDB table using the AWS CLI command. The error message indicates that the IAM user does not have sufficient access rights to perform the scan operation on the table. Option A is not optimal because it will change the command to use put-item instead of scan, which will not achieve the desired result of getting data from the table. Option B is not optimal because it will involve contacting AWS Support, which may not be necessary or efficient for this issue. Option C is not optimal because it will state that DynamoDB cannot be accessed from the AWS CLI, which is incorrect as DynamoDB supports AWS CLI commands.
References: AWS CLI for DynamoDB, [IAM Policies for DynamoDB]
NEW QUESTION # 231
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