AWS-Certified-Developer-Associate Free Practice Test

A company is building a new application that runs on AWS and uses Amazon API Gateway to expose APIs Teams of developers are working on separate components of the application in parallel The company wants to publish an API without an integrated backendso that teams that depend on the application backend can continue the development work before the API backend development is complete.
Which solution will meet these requirements?

1. A. Create API Gateway resources and set the integration type value to MOCK Configure the method integration request and integration response to associate a response with an HTTP status code Create an API Gateway stage and deploy the API.
2. B. Create an AWS Lambda function that returns mocked responses and various HTTP status code
3. C. Create API Gateway resources and set the integration type value to AWS_PROXY Deploy the API.
4. D. Create an EC2 application that returns mocked HTTP responses Create API Gateway resources and set the integration type value to AWS Create an API Gateway stage and deploy the API.
5. E. Create API Gateway resources and set the integration type value set to HTTP_PROX
6. F. Add mapping templates and deploy the AP
7. G. Create an AWS Lambda layer that returns various HTTP status codes Associate the Lambda layer with the API deployment

Correct Answer: A
The best solution for publishing an API without an integrated backend is to use the MOCK integration type in API Gateway. This allows the developer to return a static response to the client without sending the request to a backend service. The developer can configure the method integration request and integration response to associate a response with an HTTP status code, such as 200 OK or 404 Not Found. The developer can also create an API Gateway stage and deploy the API to make it available to the teams that depend on the application backend. The other solutions are either not feasible or not efficient. Creating an AWS Lambda function, an EC2 application, or an AWS Lambda layer would require additional resources and code to generate the mocked responses and HTTP status codes. These solutions would also incur additional costs and complexity, and would not leverage the built-in functionality of API Gateway. References
✑ Set up mock integrations for API Gateway REST APIs
✑ Mock Integration for API Gateway - AWS CloudFormation
✑ Mocking API Responses with API Gateway
✑ How to mock API Gateway responses with AWS SAM

A company is running a custom application on a set of on-premises Linux servers that are accessed using Amazon API Gateway. AWS X-Ray tracing has been enabled on the API test stage.
How can a developer enable X-Ray tracing on the on-premises servers with the LEAST amount of configuration?

1. A. Install and run the X-Ray SDK on the on-premises servers to capture and relay the data to the X-Ray service.
2. B. Install and run the X-Ray daemon on the on-premises servers to capture and relay the data to the X-Ray service.
3. C. Capture incoming requests on-premises and configure an AWS Lambda function to pull, process, and relay relevant data to X-Ray using the PutTraceSegments API call.
4. D. Capture incoming requests on-premises and configure an AWS Lambda function to pull, process, and relay relevant data to X-Ray using the PutTelemetryRecords API call.

Correct Answer: B
The X-Ray daemon is a software that collects trace data from the X-Ray SDK and relays it to the X-Ray service. The X-Ray daemon can run on any platform that supports Go, including Linux, Windows, and macOS. The developer can install and run the X-Ray daemon on the on-premises servers to capture and relay the data to the X-Ray service with minimal configuration. The X-Ray SDK is used to instrument the application code, not to capture and relay data. The Lambda function solutions are more complex and require additional configuration.
References:
✑ [AWS X-Ray concepts - AWS X-Ray]
✑ [Setting up AWS X-Ray - AWS X-Ray]

A developer has an application that stores data in an Amazon S3 bucket. The application uses an HTTP API to store and retrieve objects. When the PutObject API operation adds objects to the S3 bucket the developer must encrypt these objects at rest by using server- side encryption with Amazon S3 managed keys (SSE-S3).
Which solution will meet this requirement?

1. A. Create an AWS Key Management Service (AWS KMS) ke
2. B. Assign the KMS key to the S3 bucket.
3. C. Set the x-amz-server-side-encryption header when invoking the PutObject API operation.
4. D. Provide the encryption key in the HTTP header of every request.
5. E. Apply TLS to encrypt the traffic to the S3 bucket.

Correct Answer: B
Amazon S3 supports server-side encryption, which encrypts data at rest on the server that stores the data. One of the encryption options is SSE-S3, which uses keys managed by S3. To use SSE-S3, the x-amz-server-side-encryption header must be set to AES256 when invoking the PutObject API operation. This instructs S3 to encrypt the object data with SSE-S3 before saving it on disks in its data centers and decrypt it when it isdownloaded. Reference: Protecting data using server-side encryption with Amazon S3- managed encryption keys (SSE-S3)

A developer has created an AWS Lambda function that makes queries to an Amazon Aurora MySQL DB instance. When the developer performs a test the OB instance shows an error for too many connections.
Which solution will meet these requirements with the LEAST operational effort?

1. A. Create a read replica for the DB instance Query the replica DB instance instead of the primary DB instance.
2. B. Migrate the data lo an Amazon DynamoDB database.
3. C. Configure the Amazon Aurora MySQL DB instance tor Multi-AZ deployment.
4. D. Create a proxy in Amazon RDS Proxy Query the proxy instead of the DB instance.

Correct Answer: D
This solution will meet the requirements by using Amazon RDS Proxy, which is a fully managed, highly available database proxy for Amazon RDS that makes applications more scalable, more resilient to database failures, and more secure. The developer can create a proxy in Amazon RDS Proxy, which sits between the application
and the DB instance and handles connection management, pooling, and routing. The developer can query the proxy instead of the DB instance, which reduces the number of open connections to the DB instance and avoids errors for too many connections. Option A is not optimal because it will create a read replica for the DB instance, which may not solve the problem of too many connections as read replicas also have connection limits and may incur additional costs. Option B is not optimal because it will migrate the data to an Amazon DynamoDB database, which may introduce additional complexity and overhead for migrating and accessing data from a different database service. Option C is not optimal because it will configure the Amazon Aurora MySQL DB instance for Multi-AZ deployment, which may improve availability and durability of the DB instance but not reduce the number of connections.
References: [Amazon RDS Proxy], [Working with Amazon RDS Proxy]

Users are reporting errors in an application. The application consists of several micro services that are deployed on Amazon Elastic Container Serves (Amazon ECS) with AWS Fargate.
When combination of steps should a developer take to fix the errors? (Select TWO)

1. A. Deploy AWS X-Ray as a sidecar container to the micro service
2. B. Update the task role policy to allow access to me X -Ray API.
3. C. Deploy AWS X-Ray as a daemon set to the Fargate cluste
4. D. Update the service rolepolicy to allow access to the X-Ray API.
5. E. Instrument the application by using the AWS X-Ray SD
6. F. Update the application to use the Put-XrayTrace API call to communicate with the X-Ray API.
7. G. Instrument the application by using the AWS X-Ray SD
8. H. Update the application to communicate with the X-Ray daemon.
9. I. Instrument the ECS task to send the stout and spider- output to Amazon CloudWatch Log
10. J. Update the task role policy to allow the cloudwatch Putlogs action.

Correct Answer: AE
The combination of steps that the developer should take to fix the errors is to deploy AWS X-Ray as a sidecar container to the microservices and instrument the ECS task to send the stdout and stderr output to Amazon CloudWatch Logs. This way, the developer can use AWS X-Ray to analyze and debug the performance of the microservices and identify any issues or bottlenecks. The developer can also use CloudWatch Logs to monitor and troubleshoot the logs from the ECS task and detect any errors or exceptions. The other options either involve using AWS X-Ray as a daemon set, which is not supported by Fargate, or using the PutTraceSegments API call, which is not necessary when using a sidecar container.
Reference: Using AWS X-Ray with Amazon ECS