PASS GUARANTEED QUIZ AMAZON - DVA-C02 - EFFICIENT EXAM AWS CERTIFIED DEVELOPER - ASSOCIATE BOOTCAMP

Pass Guaranteed Quiz Amazon - DVA-C02 - Efficient Exam AWS Certified Developer - Associate Bootcamp

Pass Guaranteed Quiz Amazon - DVA-C02 - Efficient Exam AWS Certified Developer - Associate Bootcamp

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Tags: Exam DVA-C02 Bootcamp, Associate DVA-C02 Level Exam, DVA-C02 Free Brain Dumps, DVA-C02 Interactive Course, New DVA-C02 Test Notes

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To be eligible for the Amazon DVA-C02 exam, candidates must have at least one year of experience in developing and maintaining AWS-based applications. They should have a good understanding of AWS core services and be proficient in at least one programming language such as Java, Python, or Ruby. Candidates should also have experience working with AWS SDKs and APIs, and be familiar with AWS CLI and CloudFormation.

Amazon DVA-C02 (AWS Certified Developer – Associate) exam is a certification exam designed for individuals who want to demonstrate their expertise in developing and deploying applications on the Amazon Web Services (AWS) platform. AWS Certified Developer - Associate certification is ideal for developers who have experience in programming languages such as Python, Java, and Ruby, and are looking to build, deploy, and manage applications using AWS services.

To prepare for the DVA-C02 Exam, candidates should have hands-on experience working with AWS services and should be familiar with AWS best practices. They should also have a good understanding of programming languages such as Java, Python, and Ruby, as well as database technologies such as MySQL and Oracle. Candidates can prepare for the exam by taking online courses, attending AWS training sessions, and practicing with sample questions and scenarios.

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Amazon AWS Certified Developer - Associate Sample Questions (Q200-Q205):

NEW QUESTION # 200
A developer is working on an ecommerce website. The developer wants to review server logs without logging in to each of the application servers individually. The website runs on multiple Amazon EC2 instances, is written in Python, and needs to be highly available.
How can the developer update the application to meet these requirements with MINIMUM changes?

  • A. Set up centralized logging by using Amazon OpenSearch Service, Logstash, and OpenSearch Dashboards.
  • B. Scale down the application to one larger EC2 instance where only one instance is recording logs.
  • C. Install the unified Amazon CloudWatch agent on the EC2 instances. Configure the agent to push the application logs to CloudWatch.
  • D. Rewrite the application to be cloud native and to run on AWS Lambda, where the logs can be reviewed in Amazon CloudWatch.

Answer: C

Explanation:
Option D is the best option because it requires minimum changes and leverages the existing infrastructure.


NEW QUESTION # 201
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 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.
  • C. 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.
  • 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: B

Explanation:
AWS Amplify is a set of tools and services that enables developers to build and deploy full-stack web and mobile applications that are powered by AWS. AWS Amplify supports hosting static websites on Amazon S3 and Amazon CloudFront, with HTTPS enabled by default. AWS Amplify also integrates with various version control systems, such as AWS CodeCommit, Bitbucket, and GitHub, and allows developers to connect different branches to different environments. AWS Amplify automatically builds and deploys the website whenever code changes are merged to a connected branch, enabling phased releases with minimal operational overhead. Reference: AWS Amplify Console


NEW QUESTION # 202
A company deploys a new application to AWS. The company is streaming application logs to Amazon CloudWatch Logs. The company's development team must receive notification by email when the word "ERROR" appears in any log lines. A developer sets up an Amazon Simple Notification Service (Amazon SNS) topic and subscribes the development team to the topic.
What should the developer do next to meet the requirements?

  • A. Select the appropriate log group. Create an SNS subscription filter with "ERROR" as the filter pattern. Select the SNS topic as the destination.
  • B. Create a CloudWatch alarm that includes "ERROR" as a filter pattern, a log group dimension that defines the appropriate log group, and a destination that notifies the SNS topic.
  • C. In CloudWatch Logs Insights, select the appropriate log group. Create a metric query to search for the term "ERROR" in the logs. Create an alarm on this metric that notifies the SNS topic when the metric is 1 or higher.
  • D. Select the appropriate log group. Create a CloudWatch metric filter with "ERROR" as the search term. Create an alarm on this metric that notifies the SNS topic when the metric is 1 or higher.

Answer: D

Explanation:
https://docs.aws.amazon.com/sns/latest/dg/sns-monitoring-using-cloudwatch.html


NEW QUESTION # 203
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)

  • A. Deploy AWS X-Ray as a sidecar container to the micro services. Update the task role policy to allow access to me X -Ray API.
  • B. Instrument the ECS task to send the stout and spider- output to Amazon CloudWatch Logs. Update the task role policy to allow the cloudwatch Putlogs action.
  • C. Instrument the application by using the AWS X-Ray SDK. Update the application to communicate with the X-Ray daemon.
  • D. Deploy AWS X-Ray as a daemon set to the Fargate cluster. Update the service role policy to allow access to the X-Ray API.
  • E. Instrument the application by using the AWS X-Ray SDK. Update the application to use the Put-XrayTrace API call to communicate with the X-Ray API.

Answer: A,B

Explanation:
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.


NEW QUESTION # 204
A company runs an application on AWS. The application uses an AWS Lambda function that is configured with an Amazon Simple Queue Service (Amazon SQS) queue called high priority queue as the event source. A developer is updating the Lambda function with another SQS queue called low priority queue as the event source. The Lambda function must always read up to 10 simultaneous messages from the high priority queue before processing messages from low priority queue. The Lambda function must be limited to 100 simultaneous invocations.
Which solution will meet these requirements?

  • A. Set the delivery delay to 0 seconds for the high priority queue and to 10 seconds for the low priority queue.
  • B. Set the event source mapping maximum concurrency to 10 for the high priority queue and to 90 for the low priority queue.
  • C. Set the event source mapping batch size to 10 for the high priority queue and to 90 for the low priority queue.
  • D. Set the event source mapping batch window to 10 for the high priority queue and to 90 for the low priority queue.

Answer: B

Explanation:
https://docs.aws.amazon.com/lambda/latest/dg/with-sqs.html#events-sqs-max-concurrency


NEW QUESTION # 205
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