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[Hardware] DVA-C02 exam collection: AWS Certified Developer - Associate & DVA-C02 torre

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【Hardware】 DVA-C02 exam collection: AWS Certified Developer - Associate & DVA-C02 torre

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Amazon DVA-C02 (AWS Certified Developer - Associate) certification exam is an industry-recognized certification for developers who want to validate their expertise in developing and maintaining applications on the Amazon Web Services (AWS) platform. AWS Certified Developer - Associate certification is designed for professionals who have experience in designing and developing cloud-based applications using AWS services.
Amazon DVA-C02 Exam is intended for developers who have one or more years of experience in developing and maintaining AWS-based applications. DVA-C02 exam covers a wide range of topics such as AWS core services, application deployment, security, and troubleshooting, among others. DVA-C02 exam consists of multiple-choice questions and has a time limit of 130 minutes.
Amazon AWS Certified Developer - Associate Sample Questions (Q88-Q93):NEW QUESTION # 88
A company receives food orders from multiple partners. The company has a microservices application that uses Amazon API Gateway APIs with AWS Lambda integration. Each partner sends orders by calling a customized API that is exposed through API Gateway. The API call invokes a shared Lambda function to process the orders.
Partners need to be notified after the Lambda function processes the orders. Each partner must receive updates for only the partner's own orders. The company wants to add new partners in the future with the fewest code changes possible.
Which solution will meet these requirements in the MOST scalable way?
  • A. Create an Amazon Simple Notification Service (Amazon SNS) topic. Configure the Lambda function to publish messages with specific attributes to the SNS topic. Subscribe each partner to the SNS topic.
    Apply the appropriate filter policy to the topic subscriptions.
  • B. Create one Amazon Simple Notification Service (Amazon SNS) topic. Subscribe all partners to the SNS topic.
  • C. Create a different Amazon Simple Notification Service (Amazon SNS) topic for each partner.
    Configure the Lambda function to publish messages for each partner to the partner's SNS topic.
  • D. Create a different Lambda function for each partner. Configure the Lambda function to notify each partner's service endpoint directly.
Answer: A
Explanation:
Explanation
Amazon Simple Notification Service (Amazon SNS) is a fully managed messaging service that enables pub/sub communication between distributed systems. The developer can create an SNS topic and configure the Lambda function to publish messages with specific attributes to the topic. The developer can subscribe each partner to the SNS topic and apply the appropriate filter policy to the topic subscriptions. This way, each partner will receive updates for only their own orders based on the message attributes. This solution will meet the requirements in the most scalable way and allow adding new partners in the future with minimal code changes.
References:
[Amazon Simple Notification Service (SNS)]
[Filtering Messages with Attributes - Amazon Simple Notification Service]

NEW QUESTION # 89
A developer works for a company that only has a single pre-production AWS account with an AWS CloudFormation AWS Serverless Application Model (AWS SAM) stack. The developer made changes to an existing AWS Lambda function specified in the AWS SAM template and additional Amazon Simple Notification service (Amazon SNS) topics.
The developer wants to do a one-time deploy of the changes to test if the changes are working.
The developer does not want to impact the existing pre-production application that is currently being used by other team members as part of the release pipeline.
Which solution will meet these requirements?
  • A. Update the CloudFormation stack in the pre-production account. Add a separate stage that points to a new AWS account designated for a development environment.
  • B. Use the AWS SAM CLI to package and deploy the SAM application to a new AWS account designated for a development environment.
  • C. Use the AWS SAM CLI to package and create a change set against the pre-production AWS account. Execute the change set in a new AWS account designated for a development environment.
  • D. Use the AWS SAM CLI to package and deploy the SAM application to the pre-production AWS account. Specify the debug parameter.
Answer: B
Explanation:
https://docs.aws.amazon.com/serv ... uide/using-sam-cli- deploy.html

NEW QUESTION # 90
A developer is building an application that uses Amazon DynamoDB. The developer wants to retrieve multiple specific items from the database with a single API call. Which DynamoDB API call will meet these requirements with the MINIMUM impact on the database?
  • A. BatchGetltem
  • B. Query
  • C. Scan
  • D. Getltem
Answer: A

NEW QUESTION # 91
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?
  • A. Configure the Elastic Beanstalk .ebextensions directory to track the memory usage of the instances.
  • B. Configure the Amazon CloudWatch agent to track the memory usage of the instances.
  • C. Configure an Amazon CloudWatch dashboard to track the memory usage of the instances.
  • D. Configure the Amazon CloudWatch agent to push logs to Amazon CloudWatch Logs by using port 443.
Answer: B
Explanation:
Comprehensive Detailed Explanation with all AWS Reference
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 Reference:
Amazon CloudWatch Agent Overview
Elastic Beanstalk Customization Using .ebextensions
Monitoring Custom Metrics

NEW QUESTION # 92
A company wants to deploy and maintain static websites on AWS. Each website's source code is hosted in one of several version control systems, including AWS CodeCommit, Bitbucket, and GitHub. The company wants to implement phased releases by using development, staging, user acceptance testing, and production environments in the AWS Cloud. Deployments to each environment must be started by code merges on the relevant Git branch. The company wants to use HTTPS for all data exchange. The company needs a solution that does not require servers to run continuously. Which solution will meet these requirements with the LEAST operational overhead?
  • A. Host each website in different Amazon S3 buckets for each environment. Configure AWS CodePipeline to pull source code from version control. Add an AWS CodeBuild stage to copy source code to Amazon S3.
  • B. Host each website in AWS Elastic Beanstalk with multiple environments. Use the EB CLI to link each repository branch. Integrate AWS CodePipeline to automate deployments from version control code merges.
  • C. Host each website by using AWS Amplify with a serverless backend. Conned the repository branches that correspond to each of the desired environments. Start deployments by merging code changes to a desired branch.
  • D. Host each website on its own Amazon EC2 instance. Write a custom deployment script to bundle each website's static assets. Copy the assets to Amazon EC2. Set up a workflow to run the script when code is merged.
Answer: C
Explanation:
AWS Amplify is an all in one service for the requirement.
https://docs.aws.amazon.com/amplify/latest/userguide/welcome.html

NEW QUESTION # 93
......
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