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The DVA-C02 certification exam consists of 65 multiple-choice and multiple-response questions that are to be completed in 130 minutes. DVA-C02 exam covers a range of topics, including AWS core services, database technologies, security and compliance, and deployment and monitoring. Candidates who pass the DVA-C02 exam demonstrate their ability to develop, deploy, and maintain applications using AWS services in a cost-effective, scalable, and reliable manner. AWS Certified Developer - Associate certification is suitable for developers, DevOps engineers, and solutions architects who want to advance their careers in cloud computing and demonstrate their expertise in AWS.
Amazon DVA-C02 (AWS Certified Developer - Associate) Certification Exam is a valuable credential for professionals who want to specialize in developing and deploying applications on AWS. DVA-C02 exam covers a range of topics related to AWS development, including core services, application services, security, best practices, and troubleshooting. AWS Certified Developer - Associate certification is recognized globally and can help professionals advance their careers and increase their earning potential.
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Amazon AWS Certified Developer - Associate Sample Questions (Q64-Q69):
NEW QUESTION # 64
When using the AWS Encryption SDK, how does the developer keep track of the data encryption keys used to encrypt data?
- A. The SDK stores the data encryption keys automatically in Amazon S3.
- B. The data encryption key is stored in the Userdata for the EC2 instance.
- C. The developer must manually keep track of the data encryption keys used for each data object.
- D. The SDK encrypts the data encryption key and stores it (encrypted) as part of the returned ciphertext.
Answer: D
NEW QUESTION # 65
A developer is using AWS Amplify Hosting to build and deploy an application. The developer is receiving an increased number of bug reports from users. The developer wants to add end-to-end testing to the application to eliminate as many bugs as possible before the bugs reach production.
Which solution should the developer implement to meet these requirements?
- A. Add a test phase to the amplify.yml build settings for the application.
- B. Add a test phase to the aws-exports.js file for the application.
- C. Run the amplify add test command in the Amplify CLI.
- D. Create unit tests in the application. Deploy the unit tests by using the amplify push command in the Amplify CLI.
Answer: A
NEW QUESTION # 66
A developer is creating an ecommerce workflow in an AWS Step Functions state machine that includes a HTTP Task state. The task passes shipping information and order details to an endpoint.
The developer needs to test the workflow to confirm that the HTTP headers and body are correct and that the responses meet expectations.
- A. Use the TestState API to invoke the state machine. Set the inspection level to DEBUG.
- B. Use the data flow simulator to invoke only the HTTP Task. View the request and response data.
- C. Change the log level of the state machine to ALL. Run the state machine.
- D. Use the TestState API to invoke only the HTTP Task. Set the inspection level to TRACE.
Answer: D
Explanation:
Comprehensive and Detailed Step-by-Step Explanation:To confirm that the HTTP headers, body, and responses meet expectations, you need to test the specific HTTP Task state in isolation and inspect the details.
* Option A: TestState API with TRACE:
* The TestState API allows developers to test individual states in a state machine without executing the entire workflow.
* Setting the inspection level to TRACE provides detailed information about the HTTP request and response, including headers, body, and status codes.
* This option provides the precise and granular testing required to verify the HTTP Task functionality.
* Why Other Options Are Incorrect:
* Option B: The DEBUG inspection level provides less detailed information than TRACE and focuses on general debugging, not a detailed view of HTTP interactions.
* Option C: Step Functions does not have a "data flow simulator" to test individual tasks; this option is not valid.
* Option D: Changing the state machine's log level to ALL increases logging granularity for the entire state machine but does not allow isolated testing of a specific HTTP Task.
References:
* AWS Step Functions: Testing State Machines
NEW QUESTION # 67
A developer has written an AWS Lambda function. The function is CPU-bound. The developer wants to ensure that the function returns responses quickly.
How can the developer improve the function's performance?
- A. Increase the function's CPU core count.
- B. Increase the function's reserved concurrency.
- C. Increase the function's memory.
- D. Increase the function's timeout.
Answer: C
NEW QUESTION # 68
A developer is building various microservices for an application that will run on Amazon EC2 instances. The developer needs to monitor the end-to-end view of the requests between the microservices and debug any issues in the various microservices.
What should the developer do to accomplish these tasks?
- A. Use Amazon CloudWatch to aggregate the microservices' logs and metrics, and build the monitoring dashboard.
- B. Use AWS CloudTrail to aggregate the microservices' logs and metrics, and build the monitoring dashboard.
- C. Use AWS Health to monitor the health of all the microservices.
- D. Use the AWS X-Ray SDK to add instrumentation in all the microservices, and monitor using the X-Ray service map.
Answer: D
Explanation:
To monitor end-to-end requests and debug issues acrossmicroservices, you needdistributed tracing. Among AWS tools,AWS X-Rayis specifically built for this use case.
Step-by-Step Breakdown:
Step 1: Understand the Requirement
The developer needs:
* End-to-end request tracingacross microservices
* Debugging capabilityfor performance issues or failures
* This points directly to adistributed tracing solutionrather than just logs or metrics.
Step 2: Evaluate the Options
Option A: Amazon CloudWatch
* CloudWatch is powerful formetrics,logs, andalerts.
* But it does not providedistributed tracingorrequest path visualizationbetween microservices.
* So, it'snot sufficient alonefor the requirement.
Option B: AWS CloudTrail
* CloudTrail tracksAPI callsmade through the AWS Management Console, CLI, SDKs.
* It is meant forauditing and governance, not microservices request tracing.
* Not suitable for debugging microservices interactions.
Option C: AWS X-Ray SDK with X-Ray service map
* #Purpose-built fordistributed tracing
* Automatically collects data about requestsas they travel through your microservices
* You caninstrumentyour code with the AWS X-Ray SDK inJava, Node.js, Python, Go, .NET, etc.
* Visualizes requests using aservice map, showing latency, errors, and time spent in downstream services.
How it works:
* Instrument each microserviceusing the AWS X-Ray SDK.
* Use the SDK totrace requests, propagate trace headers across services.
* TheX-Ray daemoncollects and sends trace data to the X-Ray service.
* You can view theservice map, see bottlenecks, error rates, etc.
Option D: AWS Health
* AWS Health provides information onAWS service outagesor account-level events.
* It doesnotmonitor yourapplication or microserviceshealth or request flows.
Correct Choice: Cis the only option that meets the developer's requirement to monitorend-to-end request pathsand debug issues in amicroservicesarchitecture.
AWS Developer References:
* AWS X-Ray Documentation:https://docs.aws.amazon.com/xray/latest/devguide/aws-xray.html
* Instrumenting your application:https://docs.aws.amazon.com/xray/latest/devguide/xray-sdk.html
* Viewing the Service Map:https://docs.aws.amazon.com/xray/latest/devguide/xray-console-service-map.
html
* Tracing Microservices with AWS X-Ray:https://aws.amazon.com/blogs/compute/tracing-microservices- aws-x-ray/
NEW QUESTION # 69
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