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| Section | Weight | Objectives |
|---|
| Topic 1: Development with AWS Services | 32% | - Develop code for applications hosted on AWS
- 1. AWS SDKs
- 2. AWS CloudFormation
- 3. AWS Lambda
- 4. Amazon S3
- 5. AWS CLI
- 6. Amazon DynamoDB
- 7. Amazon Cognito
- 8. Amazon SNS
- 9. Amazon API Gateway
- 10. Amazon SQS
- Use data stores in application development
- 1. Amazon S3
- 2. Amazon ElastiCache
- 3. Amazon DynamoDB
- 4. Amazon EFS
- 5. Amazon RDS
- Develop code for AWS serverless applications
- 1. Amazon EventBridge
- 2. AWS Step Functions
- 3. AWS AppSync
- 4. Amazon API Gateway
|
| Topic 2: Deployment | 24% | - Deploy code by using AWS CI/CD services
- 1. Rolling deployments
- 2. GitHub integration
- 3. AWS CodePipeline
- 4. AWS CodeBuild
- 5. Canary deployments
- 6. Blue/green deployments
- 7. AWS CodeDeploy
- 8. AWS CodeCommit
- Test applications in development environments
- 1. Mocking AWS services
- 2. Local testing of Lambda functions
- 3. AWS SAM local
- Automate deployment testing
- 1. AWS CodePipeline
- 2. AWS CodeBuild
- 3. AWS CodeDeploy
- 4. AWS CodeCommit
- Prepare application artifacts to be deployed to AWS
- 1. AWS CloudFormation
- 2. AWS SAM
- 3. Docker containers
- 4. Lambda deployment packages
- 5. AWS CDK
|
| Topic 3: Troubleshooting and Optimization | 18% | - Optimize applications by using AWS services and features
- 1. Cost optimization
- 2. Concurrency and throttling
- 3. Data storage optimization
- 4. Memory and compute optimization
- 5. Caching strategies (ElastiCache, CloudFront)
- Instrument code for observability
- 1. Amazon CloudWatch metrics
- 2. Amazon CloudWatch alarms
- 3. Structured logging
- 4. Custom metrics
- 5. AWS X-Ray
- Assist in a root cause analysis
- 1. Error handling and retries
- 2. AWS CloudTrail
- 3. Amazon CloudWatch Logs
- 4. Application logging
- 5. AWS X-Ray
|
| Topic 4: Security | 26% | - Implement encryption by using AWS services
- 1. AWS Certificate Manager
- 2. AWS KMS
- 3. AWS Secrets Manager
- 4. Amazon S3 encryption
- 5. AWS CloudHSM
- 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)
- Manage sensitive data in application code
- 1. Environment variables
- 2. AWS Systems Manager Parameter Store
- 3. AWS Secrets Manager
- 4. Encryption of data at rest and in transit
|
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Amazon AWS Certified Developer - Associate Sample Questions (Q553-Q558):
NEW QUESTION # 553
A developer needs to export the contents of several Amazon DynamoDB tables into Amazon S3 buckets to comply with company data regulations. The developer uses the AWS CLI to run commands to export from each table to the proper S3 bucket. The developer sets up AWS credentials correctly and grants resources appropriate permissions. However, the exports of some tables fail.
What should the developer do to resolve this issue?
- A. Ensure that DynamoDB streaming is enabled for the tables.
- B. Ensure that point-in-time recovery is enabled on the DynamoDB tables.
- C. Ensure that DynamoDB Accelerator (DAX) is enabled.
- D. Ensure that the target S3 bucket is in the same AWS Region as the DynamoDB table.
Answer: D
Explanation:
Comprehensive Detailed and Lengthy Step-by-Step Explanation with All AWS Developer References:
1. Understanding the Use Case:
The developer needs to export DynamoDB table data into Amazon S3 buckets using the AWS CLI, and some exports are failing. Proper credentials and permissions have already been configured.
2. Key Conditions to Check:
* Region Consistency:DynamoDB exports require that the target S3 bucket and the DynamoDB table reside in the same AWS Region. If they are not in the same Region, the export process will fail.
* Point-in-Time Recovery (PITR):PITR is not required for exporting data from DynamoDB to S3.
Enabling PITR allows recovery of table states at specific points in time but does not directly influence export functionality.
* DynamoDB Streams:Streams allow real-time capture of data modifications but are unrelated to the bulk export feature.
* DAX (DynamoDB Accelerator):DAX is a caching service that speeds up read operations for DynamoDB but does not affect the export functionality.
3. Explanation of the Options:
* Option A:"Ensure that point-in-time recovery is enabled on the DynamoDB tables."While PITR is useful for disaster recovery and restoring table states, it is not required for exporting data to S3. This option does not address the export failure.
* Option B:"Ensure that the target S3 bucket is in the same AWS Region as the DynamoDB table."This is the correct answer. DynamoDB export functionality requires the target S3 bucket to reside in the same AWS Region as the DynamoDB table. If the S3 bucket is in a different Region, the export will fail.
* Option C:"Ensure that DynamoDB streaming is enabled for the tables."Streams are useful for capturing real-time changes in DynamoDB tables but are unrelated to the export functionality. This option does not resolve the issue.
* Option D:"Ensure that DynamoDB Accelerator (DAX) is enabled."DAX accelerates read operations but does not influence the export functionality. This option is irrelevant to the issue.
4. Resolution Steps:
To ensure successful exports:
* Verify the Region of the DynamoDB tables:
* Check the Region where each table is located.
* Verify the Region of the target S3 buckets:
* Confirm that the target S3 bucket for each export is in the same Region as the corresponding DynamoDB table.
* If necessary, create new S3 buckets in the appropriate Regions.
* Run the export command again with the correct setup:
aws dynamodb export-table-to-point-in-time \
--table-name <TableName> \
--s3-bucket <BucketName> \
--s3-prefix <Prefix> \
--export-time <ExportTime> \
--region <Region>
References:
* Exporting DynamoDB Data to Amazon S3
* S3 Bucket Region Requirements for DynamoDB Exports
* AWS CLI Reference for DynamoDB Export
NEW QUESTION # 554
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 par 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 is a service that provides a secure user directory that scales to hundreds of millions of users. The developer can use Amazon Cognito user pools to manage user accounts and create an Amazon Cognito user pool authorizer in API Gateway to control access to the API. The developer can use the Lambda function to store the photos in Amazon S3, which is a highly scalable, durable, and secure object storage service. The developer can store the object's S3 key as part of the photo details in the DynamoDB table, which is a fast and flexible NoSQL database service. The developer can retrieve previously uploaded photos by querying DynamoDB for the S3 key and fetching the photos from S3. This solution will meet the requirements with the least operational overhead.
NEW QUESTION # 555
A developer is incorporating AWS X-Ray into an application that handles personal identifiable information (PII). The application is hosted on Amazon EC2 instances. The application trace messages include encrypted PII and go to Amazon CloudWatch. The developer needs to ensure that no PII goes outside of the EC2 instances.
Which solution will meet these requirements?
- A. Manually instrument the X-Ray SDK in the application code.
- B. Use AWS Distro for Open Telemetry.
- C. Use Amazon Macie to detect and hide PII. Call the X-Ray API from AWS Lambda.
- D. Use the X-Ray auto-instrumentation agent.
Answer: A
Explanation:
This solution will meet the requirements by allowing the developer to control what data is sent to X-Ray and CloudWatch from the application code. The developer can filter out any PII from the trace messages before sending them to X-Ray and CloudWatch, ensuring that no PII goes outside of the EC2 instances. Option B is not optimal because it will automatically instrument all incoming and outgoing requests from the application, which may include PII in the trace messages. Option C is not optimal because it will require additional services and costs to use Amazon Macie and AWS Lambda, which may not be able to detect and hide all PII from the trace messages. Option D is not optimal because it will use Open Telemetry instead of X-Ray, which may not be compatible with CloudWatch and other AWS services.
NEW QUESTION # 556
An application that runs on AWS Lambda requires access to specific highly confidential objects in an Amazon S3 bucket. In accordance with the principle of least privilege, a company grants access to the S3 bucket by using only temporary credentials.
How can a developer configure access to the S3 bucket in the MOST secure way?
- A. Hardcode the credentials that are required to access the S3 objects in the application code. Use the credentials to access the required S3 objects.
- B. Create a Lambda function execution role. Attach a policy to the role that grants access to specific objects in the S3 bucket.
- C. Create a secret access key and access key ID with permission to access the S3 bucket. Store the key and key ID as environment variables in Lambda. Use the environment variables to access the required S3 objects.
- D. Create a secret access key and access key ID with permission to access the S3 bucket. Store the key and key ID in AWS Secrets Manager. Configure the application to retrieve the Secrets Manager secret and use the credentials to access the S3 objects.
Answer: B
Explanation:
https://docs.aws.amazon.com/lambda/latest/operatorguide/least-privilege.html
NEW QUESTION # 557
A developer has an application that asynchronously invokes an AWS Lambda function. The developer wants to store messages that resulted in failed invocations of the Lambda function so that the application can retry the call later.
What should the developer do to accomplish this goal with the LEAST operational overhead?
- A. Send Amazon EventBridge events to an Amazon Simple Queue Service (Amazon SQS) queue.Configure the Lambda function to pull messages from the SQS queue. Run the Lambda function again.
- B. Configure Amazon EventBridge to send the messages to Amazon Simple Notification Service (Amazon SNS) to initiate the Lambda function again.
- C. Implement a dead-letter queue for discarded messages. Set the dead-letter queue as an event source for the Lambda function.
- D. Set up Amazon CloudWatch Logs log groups to filter and store the messages in an Amazon S3 bucket. Import the messages in Lambda. Run the Lambda function again.
Answer: C
Explanation:
https://docs.aws.amazon.com/lambda/latest/dg/invocation-async.html#invocation-dlq
NEW QUESTION # 558
......
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