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| Section | Weight | Objectives |
|---|
| Security | 26% | - Secure application data
- 1. Manage secrets and credentials securely
- 2. Implement encryption at rest and in transit
- Apply security best practices
- 1. Follow AWS Well-Architected Framework security principles
- 2. Validate application security configurations
- Implement authentication and authorization
- 1. Use Amazon Cognito for identity management
- 2. Manage IAM roles, policies, and permissions
|
| Troubleshooting and Optimization | 18% | - Debug and resolve errors
- 1. Resolve integration and configuration problems
- 2. Identify and fix code defects
- Troubleshoot application issues
- 1. Use Amazon CloudWatch, AWS X-Ray for monitoring
- 2. Analyze logs, metrics, and traces
- Optimize application performance
- 1. Improve latency and throughput
- 2. Optimize resource usage and costs
|
| Deployment | 24% | - Prepare application artifacts for deployment
- 1. Use infrastructure as code (AWS CloudFormation, AWS SAM)
- 2. Package code and dependencies
- Deploy applications on AWS
- 1. Deploy to AWS Lambda, Amazon EC2, Elastic Beanstalk
- 2. Perform safe updates and rollbacks
- Implement CI/CD pipelines
- 1. Automate deployment and testing workflows
- 2. Use AWS CodePipeline, CodeBuild, CodeDeploy
|
| Development with AWS Services | 32% | - Write code for applications hosted on AWS
- 1. Develop serverless applications
- 2. Use AWS SDKs and APIs
- 3. Implement architectural patterns
- Interact with AWS data services
- 1. Work with Amazon DynamoDB, Amazon S3
- 2. Implement caching and data storage strategies
- Integrate AWS services into applications
- 1. Use AWS Lambda, API Gateway, Amazon EventBridge
- 2. Implement messaging and event-driven workflows
|
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Amazon AWS Certified Developer - Associate Sample Questions (Q764-Q769):
NEW QUESTION # 764
A developer is designing a serverless application with two AWS Lambda functions to process photos. One Lambda function stores objects in an Amazon S3 bucket and stores the associated metadata in an Amazon DynamoDB table. The other Lambda function fetches the objects from the S3 bucket by using the metadata from the DynamoDB table. Both Lambda functions use the same Python library to perform complex computations and are approaching the quota for the maximum size of zipped deployment packages.
What should the developer do to reduce the size of the Lambda deployment packages with the LEAST operational overhead?
- A. Package each Python library in its own .zip file archive. Deploy each Lambda function with its own copy of the library.
- B. Create a Lambda layer with the required Python library. Use the Lambda layer in both Lambda functions.
- C. Download the Python library to an S3 bucket. Program the Lambda functions to reference the object URLs.
- D. Combine the two Lambda functions into one Lambda function. Deploy the Lambda function as a single .
zip file archive.
Answer: B
Explanation:
AWS Lambda is a service that lets developers run code without provisioning or managing servers. Lambda layers are a distribution mechanism for libraries, custom runtimes, and other dependencies. The developer can create a Lambda layer with the required Python library and use the layer in both Lambda functions. This will reduce the size of the Lambda deployment packages and avoid reaching the quota for the maximum size of zipped deployment packages. The developer can also benefit from using layers to manage dependencies separately from function code.
References:
* [What Is AWS Lambda? - AWS Lambda]
* [AWS Lambda Layers - AWS Lambda]
NEW QUESTION # 765
A developer is designing a serverless application with two AWS Lambda functions to process photos. One Lambda function stores objects in an Amazon S3 bucket and stores the associated metadata in an Amazon DynamoDB table. The other Lambda function fetches the objects from the S3 bucket by using the metadata from the DynamoDB table. Both Lambda functions use the same Python library to perform complex computations and are approaching the quota for the maximum size of zipped deployment packages.
What should the developer do to reduce the size of the Lambda deployment packages with the LEAST operational overhead?
- A. Package each Python library in its own .zip file archive. Deploy each Lambda function with its own copy of the library.
- B. Create a Lambda layer with the required Python library. Use the Lambda layer in both Lambda functions.
- C. Download the Python library to an S3 bucket. Program the Lambda functions to reference the object URLs.
- D. Combine the two Lambda functions into one Lambda function. Deploy the Lambda function as a single
.zip file archive.
Answer: B
Explanation:
Explanation
AWS Lambda is a service that lets developers run code without provisioning or managing servers. Lambda layers are a distribution mechanism for libraries, custom runtimes, and other dependencies. The developer can create a Lambda layer with the required Python library and use the layer in both Lambda functions. This will reduce the size of the Lambda deployment packages and avoid reaching the quota for the maximum size of zipped deployment packages. The developer can also benefit from using layers to manage dependencies separately from function code.
References:
[What Is AWS Lambda? - AWS Lambda]
[AWS Lambda Layers - AWS Lambda]
NEW QUESTION # 766
A company uses an AWS CloudFormation template to deploy and manage its AWS infrastructure. The CloudFormation template creates Amazon VPC security groups and Amazon EC2 security groups.
A manager finds out that some engineers modified the security groups of a few EC2 instances for testing purposes. A developer needs to determine what modifications occurred.
Which solution will meet this requirement?
- A. Use Amazon Detective to detect the modifications.
- B. Perform a drift detection operation on the CloudFormation stack.
- C. Execute a change set for the CloudFormation stack.
- D. Add a Conditions section statement in the source YAML file of the template. Run the CloudFormation stack.
Answer: B
NEW QUESTION # 767
A developer is creating a new batch application that will run on an Amazon EC2 instance. The application requires read access to an Amazon S3 bucket. The developer needs to follow security best practices to grant S3 read access to the application.
Which solution meets these requirements?
- A. Add the permissions to an 1AM policy. Use 1AM web identity federation to access the S3 bucket with the policy.
- B. Add the permissions inline to an 1AM group. Attach the group to the EC2 instance profile.
- C. Add the permissions to an 1AM policy. Attach the policy to a user. Attach the user to the EC2 instance profile.
- D. Add the permissions to an 1AM policy. Attach the policy to a role. Attach the role to the EC2 instance profile.
Answer: D
NEW QUESTION # 768
An application is real-time processing millions of events that are received through an API.
What service could be used to allow multiple consumers to process the data concurrently and MOST cost-effectively?
- A. Amazon SNS with fanout to an SQS FIFO (first-in, first-out) queue for each application
- B. Amazon Kinesis Data Streams
- C. Amazon SNS with fanout to an SQS queue for each application
- D. Amazon Kinesis Firehose
Answer: B
Explanation:
Amazon Kinesis Data Streams is designed for real-time data streaming and allows multiple consumers to process data concurrently and in real-time. It can handle millions of events and provides a scalable and cost-effective solution for handling high-throughput data streams.
NEW QUESTION # 769
......
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