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| Certification Vendor: | Amazon AWS |
|---|---|
| Exam Name: | AWS Certified Developer - Associate |
| Exam Number: | DVA-C02 |
| Exam Format: | Multiple-choice, Multiple-response |
| Related Certifications: | AWS Certified SysOps Administrator - Associate AWS Certified Solutions Architect - Associate |
| Passing Score: | 720 (scaled score 100–1000) |
| Exam Duration: | 130 minutes |
| Real Exam Qty: | 65 (50 scored, 15 unscored) |
| Certificate Validity Period: | 3 years |
| Exam Price: | 150 USD |
| Available Languages: | Simplified Chinese, Portuguese (Brazil), Japanese, Korean, English, Spanish (Latin America) |
| Recommended Training: | AWS Certified Developer - Associate Exam Prep AWS Skill Builder |
| Exam Registration: | Pearson VUE Registration AWS Certification Registration |
| Sample Questions: | Amazon DVA-C02 Sample Questions |
| Exam Way: | Online proctored or onsite at Pearson VUE testing centers |
| Pre Condition: | Recommended: 1+ year of hands-on experience developing applications on AWS, familiarity with AWS core services, basic understanding of cloud architecture |
| Official Syllabus URL: | https://docs.aws.amazon.com/aws-certification/latest/developer-associate-02/developer-associate-02.html |
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Amazon DVA-C02 exam is designed to test the skills and knowledge of developers who work with Amazon Web Services (AWS). DVA-C02 exam is intended for individuals who have experience working with AWS services and developing applications that run on the AWS platform. DVA-C02 Exam is designed to assess a candidate's ability to design, develop, and deploy applications on AWS.
NEW QUESTION # 177
A company hosts a batch processing application on AWS Elastic Beanstalk with instances that run the most recent version of Amazon Linux. The application sorts and processes large datasets. In recent weeks, the application's performance has decreased significantly during a peak period for traffic. A developer suspects that the application issues are related to the memory usage. The developer checks the Elastic Beanstalk console and notices that memory usage is not being tracked.
How should the developer gather more information about the application performance issues?
Answer: B
Explanation:
Comprehensive Detailed Explanation with all AWS References
To monitor memory usage in Amazon Elastic Beanstalk environments, it's important to understand that default Elastic Beanstalk monitoring capabilities in Amazon CloudWatch do not track memory usage, as memory metrics are not collected by default. Instead, the Amazon CloudWatch agent must be configured to collect memory usage metrics.
* Why Option C is Correct:
* The Amazon CloudWatch agent can be installed and configured to monitor system-level metrics such as memory and disk utilization.
* To enable memory tracking, developers need to install the CloudWatch agent on the Amazon Elastic Compute Cloud (EC2) instances associated with the Elastic Beanstalk environment.
* After installation, the agent can be configured to collect memory metrics, which can then be sent to CloudWatch for further analysis.
* How to Implement This Solution:
* Install the CloudWatch Agent:Use .ebextensions or AWS Systems Manager to install and configure the CloudWatch agent on the EC2 instances running in the Elastic Beanstalk environment.
* Modify CloudWatch Agent Configuration:Create a config.json file that specifies memory usage tracking and other desired metrics.
* Enable Metrics Reporting:The CloudWatch agent can push the metrics to CloudWatch, where they can be monitored.
* Why Other Options are Incorrect:
* Option A: Configuring the agent to push logs is not sufficient to track memory metrics. This option addresses logging but not system-level metrics like memory usage.
* Option B: The .ebextensions directory is used to customize Elastic Beanstalk environments but does not directly track memory metrics without additional configuration of the CloudWatch agent.
* Option D: Configuring a CloudWatch dashboard will only visualize the metrics that are already being collected. It will not enable memory usage tracking.
* AWS Documentation References:
* Amazon CloudWatch Agent Overview
* Elastic Beanstalk Customization Using .ebextensions
* Monitoring Custom Metrics
NEW QUESTION # 178
An organization is using Amazon CloudFront to ensure that its users experience low-latency access to its web application. The organization has identified a need to encrypt all traffic between users and CloudFront, and all traffic between CloudFront and the web application.
How can these requirements be met? (Choose two.)
Answer: C,D
Explanation:
B: Setting the Origin Protocol Policy to "HTTPS Only" ensures that CloudFront always uses HTTPS to connect to the origin, which is the web application in this scenario.
D: Setting the Viewer Protocol Policy to "HTTPS Only" ensures that CloudFront will only serve requests over HTTPS. Setting it to "Redirect HTTP to HTTPS" ensures that any HTTP request from viewers is redirected to HTTPS.
NEW QUESTION # 179
A gaming application stores scores for players in an Amazon DynamoDB table that has four attributes:
user_id, user_name, user_score, and user_rank. The users are allowed to update their names only. A user is authenticated by web identity federation.
Which set of conditions should be added in the policy attached to the role for the dynamodb:PutItem API call?
Answer: A
Explanation:
The correct policy condition ensures that:
The LeadingKeys condition restricts operations to the authenticated user ' s user_id.
The Attributes condition limits the updatable attributes to user_name.
Explanation of Choices:
Option A: Correctly enforces both the key restriction (dynamodb:LeadingKeys) and ensures only the user_name attribute can be updated.
Option B, C, D: Use incorrect conditions, such as referencing user_name in the LeadingKeys or including other attributes like user_id in updatable fields.
Reference:AWS DynamoDB Condition Keys Documentation
NEW QUESTION # 180
A developer is building a highly secure healthcare application using serverless components. This application requires writing temporary data to /Imp storage on an AWS Lambda function.
How should the developer encrypt this data?
Answer: D
NEW QUESTION # 181
A company created an application to consume and process data. The application uses Amazon SQS and AWS Lambda functions. The application is currently working as expected, but it occasionally receives several messages that it cannot process properly. The company needs to clear these messages to prevent the queue from becoming blocked. A developer must implement a solution that makes queue processing always operational. The solution must give the company the ability to defer the messages with errors and save these messages for further analysis. What is the MOST operationally efficient solution that meets these requirements?
Answer: A
Explanation:
Using a dead-letter queue (DLQ) with Amazon SQS is the most operationally efficient solution for handling unprocessable messages.
Amazon SQS Dead-Letter Queue:
A DLQ is used to capture messages that fail processing after a specified number of attempts.
Allows the application to continue processing other messages without being blocked.
Messages in the DLQ can be analyzed later for debugging and resolution.
Why DLQ is the Best Option:
Operational Efficiency: Automatically defers messages with errors, ensuring the queue is not blocked.
Analysis Ready: Messages in the DLQ can be inspected to identify recurring issues.
Scalable: Works seamlessly with Lambda and SQS at scale.
Why Not Other Options:
Option A: Logs the messages but does not resolve the queue blockage issue.
Option C: FIFO queues and 0-second retention do not provide error handling or analysis capabilities.
Option D: Alerts administrators but does not handle or store the unprocessable messages.
Steps to Implement:
Create a new SQS queue to serve as the DLQ.
Attach the DLQ to the primary queue and configure the Maximum Receives setting.
Using Amazon SQS Dead-Letter Queues
Best Practices for Using Amazon SQS with AWS Lambda
NEW QUESTION # 182
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