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| Section | Weight | Objectives |
|---|
| Troubleshooting and Optimization | 18% | - Assist in a root cause analysis
- 1. AWS CloudTrail
- 2. Application logging
- 3. Error handling and retries
- 4. AWS X-Ray
- 5. Amazon CloudWatch Logs
- Instrument code for observability
- 1. AWS X-Ray
- 2. Custom metrics
- 3. Structured logging
- 4. Amazon CloudWatch alarms
- 5. Amazon CloudWatch metrics
- Optimize applications by using AWS services and features
- 1. Memory and compute optimization
- 2. Concurrency and throttling
- 3. Cost optimization
- 4. Caching strategies (ElastiCache, CloudFront)
- 5. Data storage optimization
|
| Security | 26% | - Implement authentication and/or authorization for applications and AWS services
- 1. Bearer tokens (JWT, OAuth, AWS STS)
- 2. Role-based access control (RBAC)
- 3. Resource-based policies, service policies, and principal policies
- 4. User pools and identity pools in Amazon Cognito
- 5. Identity federation (SAML, OpenID Connect, Amazon Cognito)
- Manage sensitive data in application code
- 1. Environment variables
- 2. AWS Systems Manager Parameter Store
- 3. Encryption of data at rest and in transit
- 4. AWS Secrets Manager
- Implement encryption by using AWS services
- 1. AWS Certificate Manager
- 2. Amazon S3 encryption
- 3. AWS CloudHSM
- 4. AWS KMS
- 5. AWS Secrets Manager
|
| Deployment | 24% | - Test applications in development environments
- 1. Local testing of Lambda functions
- 2. Mocking AWS services
- 3. AWS SAM local
- Prepare application artifacts to be deployed to AWS
- 1. AWS SAM
- 2. Lambda deployment packages
- 3. AWS CDK
- 4. AWS CloudFormation
- 5. Docker containers
- Deploy code by using AWS CI/CD services
- 1. Blue/green deployments
- 2. AWS CodePipeline
- 3. Canary deployments
- 4. AWS CodeDeploy
- 5. Rolling deployments
- 6. GitHub integration
- 7. AWS CodeCommit
- 8. AWS CodeBuild
- Automate deployment testing
- 1. AWS CodePipeline
- 2. AWS CodeDeploy
- 3. AWS CodeCommit
- 4. AWS CodeBuild
|
| Development with AWS Services | 32% | - Develop code for applications hosted on AWS
- 1. Amazon DynamoDB
- 2. Amazon S3
- 3. Amazon SQS
- 4. Amazon Cognito
- 5. AWS SDKs
- 6. AWS CLI
- 7. Amazon API Gateway
- 8. AWS CloudFormation
- 9. Amazon SNS
- 10. AWS Lambda
- Develop code for AWS serverless applications
- 1. AWS AppSync
- 2. AWS Step Functions
- 3. Amazon API Gateway
- 4. Amazon EventBridge
- Use data stores in application development
- 1. Amazon DynamoDB
- 2. Amazon S3
- 3. Amazon ElastiCache
- 4. Amazon EFS
- 5. Amazon RDS
|
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Amazon AWS Certified Developer - Associate Sample Questions (Q160-Q165):
NEW QUESTION # 160
A developer has AWS Lambda functions that need to access a company's internal data science libraries and reference data. Separate teams manage the libraries and the data. The teams must be able to update and upload new data independently. The Lambda functions are connected to the company's central VPC.
Which solution will provide the Lambda functions with access to the libraries and data?
- A. Set up an Amazon FSx for Windows File Server file system with mount targets in the central VPC.Configure the Lambda functions to mount the Amazon FSx file system. Update the Lambda function execution roles to give the functions to access the Amazon FSx file system.
- B. Attach an Amazon Elastic Block Store (Amazon EBS) volume to the Lambda functions by using EBS Multi-Attach in the central VPC. Update the Lambda function execution roles to give the functions to access the EBS volume. Update the Lambda function code to reference the files in the EBS volume.
- C. Set up an Amazon Elastic File System (Amazon EFS) file system with mount targets in the central VPConfigure the Lambda functions to mount the EFS file system. Update the Lambda function execution roles to give the functions to access the EFS file system.
- D. Compress the libraries and reference data in a Lambda /tmp folder. Update the Lambda function code to reference the files in the /tmp folder.
Answer: C
Explanation:
Configure a function to mount an Amazon Elastic File System (Amazon EFS) file system to a local directory.
https://docs.aws.amazon.com/lambda/latest/dg/configuration-filesystem.html
NEW QUESTION # 161
A developer is working on a serverless application that needs to process any changes to an Amazon DynamoDB table with an AWS Lambda function.
How should the developer configure the Lambda function to detect changes to the DynamoDB table?
- A. Enable DynamoDB Streams on the table. Create a trigger to connect the DynamoDB stream to the Lambda function.
- B. Create an Amazon Kinesis Data Firehose delivery stream, and attach it to the DynamoDB table. Configure the delivery stream destination as the Lambda function.
- C. Create an Amazon Kinesis data stream, and attach it to the DynamoDB table. Create a trigger to connect the data stream to the Lambda function.
- D. Create an Amazon EventBridge rule to invoke the Lambda function on a regular schedule. Conned to the DynamoDB table from the Lambda function to detect changes.
Answer: A
NEW QUESTION # 162
A developer is building an application that gives users the ability to view bank accounts 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 custom resource.
The developer wants a solution that will store the API credentials with minimal operational overhead.
Which solution will meet these requirements in the MOST secure way?
- A. 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.
- B. Add an AWS Secrets Manager GenerateSecretString resource to the CloudFormation template.
Set the value to reference new credentials for the CloudFormation resource. - C. 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 NoEcho attribute to true.
- D. 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.
Answer: A
Explanation:
https://docs.aws.amazon.com/systems-manager/latest/APIReference/API_PutParameter.html
NEW QUESTION # 163
A developer maintains an Amazon API Gateway REST API. Customers use the API through a frontend UI and Amazon Cognito authentication.
The developer has a new version of the API that contains new endpoints and backward-incompatible interface changes. The developer needs to provide beta access to other developers on the team without affecting customers.
Which solution will meet these requirements with the LEAST operational overhead?
- A. Implement a query parameter in the API application code that determines which code version to call.
- B. Specify new API Gateway endpoints for the API endpoints that the developer wants to add.
- C. Define a new API Gateway API that points to the new API application code. Instruct the other developers to point the endpoints to the new API.
- D. Define a development stage on the API Gateway API. Instruct the other developers to point the endpoints to the development stage.
Answer: D
Explanation:
Amazon API Gateway is a service that enables developers to create, publish, maintain, monitor, and secure APIs at any scale. The developer can define a development stage on the API Gateway API and instruct the other developers to point the endpoints to the development stage. This way, the developer can provide beta access to the new version of the API without affecting customers who use the production stage. This solution will meet the requirements with the least operational overhead.
NEW QUESTION # 164
A company uses Amazon DynamoDB as a data store for its order management system. The company frontend application stores orders in a DynamoDB table. The DynamoDB table is configured to send change events to a DynamoDB stream. The company uses an AWS Lambda function to log and process the incoming orders based on data from the DynamoDB stream.
An operational review reveals that the order quantity of incoming orders is sometimes set to 0. A developer needs to create a dashboard that will show how many unique customers this problem affects each day.
What should the developer do to implement the dashboard?
- A. Turn on custom Amazon CloudWatch metrics for the DynamoDB stream of the DynamoOB table. Create a CloudWatch alarm that groups the number of unique customers for orders with order quantity equal to 0 in 1-day periods. Add the CloudWatch alarm to a CloudWatch dashboard.
- B. Use Amazon Athena to query AWS CtoudTrail API logs for API calls. Implement an Athena query that selects the number of unique customers for orders with order quantity equal to 0 and groups the results in 1-day periods. Add the Athena query to an Amazon CloudWatch dashboard.
- C. Configure the Lambda function to send events to Amazon EventBridge. Create an EventBridge rule that groups the number of unique customers for orders with order quantity equal to 0 in 1-day periods. Add a CloudWatch dashboard as the target of the rule.
- D. Grant the Lambda function's execution role permissions to upload logs to Amazon CloudWatch Logs. Implement a CloudWatch Logs Insights query that selects the number of unique customers for orders with order quantity equal to 0 and groups the results in 1-day periods. Add the CloudWatch Logs Insights query to a CloudWatch dashboard.
Answer: D
NEW QUESTION # 165
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