DVA-C02 TEST LAB QUESTIONS | RELIABLE DVA-C02 DUMPS EBOOK

DVA-C02 Test Lab Questions | Reliable DVA-C02 Dumps Ebook

DVA-C02 Test Lab Questions | Reliable DVA-C02 Dumps Ebook

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Tags: DVA-C02 Test Lab Questions, Reliable DVA-C02 Dumps Ebook, Online DVA-C02 Bootcamps, Valid Test DVA-C02 Braindumps, DVA-C02 Valid Exam Camp

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Amazon DVA-C02 Certification Exam covers a broad range of topics, including AWS core services, databases, application deployment, security, and monitoring. DVA-C02 exam consists of 65 multiple-choice and multiple-response questions that must be completed within 130 minutes. The passing score for DVA-C02 exam is 720 out of 1000, and it is available in multiple languages. Successful completion of this certification exam demonstrates the candidate's ability to develop and deploy scalable, secure, and reliable applications on the AWS platform, making them a valuable asset to any organization that uses AWS.

Amazon DVA-C02 (AWS Certified Developer - Associate) exam is a certification offered by Amazon Web Services (AWS) for developers who want to demonstrate their expertise in designing, developing, and deploying cloud-based solutions using AWS technologies. DVA-C02 Exam validates a candidate's ability to write code using AWS APIs, create and maintain applications using AWS services, and deploy applications on AWS infrastructure. AWS Certified Developer - Associate certification is recommended for developers with one or more years of experience with AWS.

Professionals who earn the AWS Certified Developer - Associate certification can expect to have a wide range of career opportunities available to them. AWS Certified Developer - Associate certification is recognized by organizations around the world as a standard of excellence in cloud computing and application development. It can help professionals to stand out in a crowded job market and demonstrate their commitment to staying up-to-date with the latest trends and technologies in the field.

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Amazon AWS Certified Developer - Associate Sample Questions (Q270-Q275):

NEW QUESTION # 270
A developer is preparing to deploy an AWS CloudFormation stack for an application from a template that includes an IAM user.
The developer needs to configure the application's resources to retain the IAM user after successful creation. However, the developer also needs to configure the application to delete the IAM user if the stack rolls back.

  • A. Update the stack policy to include the following statements:
    {
    "Statement": [{
    "Effect": "Deny",
    "Action": "Update:*",
    "Principal": "*",
    "Resource": "*",
    "Condition": {
    "StringEquals": {
  • B. Update the CloudFormation service role to include the following policy:
    {
    "Version": "2012-10-17",
    "Statement": [{
    "Effect": "Allow",
    "Action": ["cloudformation:UpdateTerminationProtection"],
    "Resource": "*"
    }]
    }
  • C. Update CloudFormation template with the following deletion policy:
    AWSTemplateFormatVersion: '2010-09-09'
    Resources:
    appUser:
    Type: AWS::IAM::User
    DeletionPolicy: RetainExceptOnCreate
  • D. Update CloudFormation template with the following deletion policy:
    AWSTemplateFormatVersion: '2010-05-09'
    Resources:
    appUser:
    Type: AWS::IAM::User
    DeletionPolicy: Retain

Answer: C

Explanation:
"ResourceType": "AWS::IAM::User"
}
}
}]
}
Explanation:
Comprehensive Detailed Explanation with all AWS Reference
Why Option B is Correct:
The RetainExceptOnCreate deletion policy ensures that the IAM user is retained after successful stack creation but is deleted if the stack creation fails or rolls back. This meets both requirements.
Why Other Options are Incorrect:
Option A: The Retain policy retains the resource regardless of stack status and does not delete the IAM user upon rollback.
Option C: Updating the service role for termination protection does not address the specific deletion behavior for the IAM user.
Option D: Stack policy controls updates, not resource deletion behavior during rollbacks.
AWS Documentation Reference:
CloudFormation DeletionPolicy Attribute


NEW QUESTION # 271
A company has an application that is deployed on AWS Elastic Beanstalk. The application generates user-specific PDFs and stores the PDFs in an Amazon S3 bucket. The application then uses Amazon Simple Email Service (Amazon SES) to send the PDFs by email to subscribers.
Users no longer access the PDFs 90 days after the PDFs are generated. The S3 bucket is not versioned and contains many obsolete PDFs.
A developer must reduce the number of files in the S3 bucket by removing PDFs that are older than 90 days.
Which solution will meet this requirement with the LEAST development effort?

  • A. Create an S3 Lifecycle rule for the S3 bucket to expire objects after 90 days.
  • B. Update the application code. In the code, add a rule to scan all the objects in the S3 bucket every day and to delete objects after 90 days.
  • C. Partition the S3 objects with a // key prefix. Create an AWS Lambda function to remove objects that have prefixes that have reached the expiration date.
  • D. Create an AWS Lambda function. Program the Lambda function to scan all the objects in the S3 bucket every day and to delete objects after 90 days.

Answer: A


NEW QUESTION # 272
A developer needs to migrate an online retail application to AWS to handle an anticipated increase in traffic. The application currently runs on two servers: one server for the web application and another server for the database. The web server renders webpages and manages session state in memory. The database server hosts a MySQL database that contains order details. When traffic to the application is heavy, the memory usage for the web server approaches 100% and the application slows down considerably.
The developer has found that most of the memory increase and performance decrease is related to the load of managing additional user sessions. For the web server migration, the developer will use Amazon EC2 instances with an Auto Scaling group behind an Application Load Balancer.
Which additional set of changes should the developer make to the application to improve the application's performance?

  • A. Use the EC2 instance store to manage the session data. Use an Amazon RDS for MySQL DB instance to store the application data.
  • B. Use Amazon ElastiCache for Memcached to store and manage the session data and the application data.
  • C. Use Amazon ElastiCache for Memcached to store and manage the session data. Use an Amazon RDS for MySQL DB instance to store the application data.
  • D. Use an EC2 instance to host the MySQL database. Store the session data and the application data in the MySQL database.

Answer: C

Explanation:
Using Amazon ElastiCache for Memcached to store and manage the session data will reduce the memory load and improve the performance of the web server. Using Amazon RDS for MySQL DB instance to store the application data will provide a scalable, reliable, and managed database service. Option A is not optimal because it does not address the memory issue of the web server. Option C is not optimal because it does not provide a persistent storage for the application data. Option D is not optimal because it does not provide a high availability and durability for the session data.


NEW QUESTION # 273
A developer is creating an AWS Serverless Application Model (AWS SAM) template. The AWS SAM template contains the definition of multiple AWS Lambda functions, an Amazon S3 bucket, and an Amazon CtoudFront distribution. One of the Lambda functions runs on Lambda@Edge in the CloudFront distribution.
The S3 bucket is configured as an origin for the CloudFront distribution.
When the developer deploys the AWS SAM template in the eu-west-1 Region, the creation of the stack fails.
Which of the following could be the reason for this issue?

  • A. Lambda@Edge functions can be created only in the us-east-1 Region.
  • B. A single AWS SAM template cannot contain multiple Lambda functions.
  • C. CloudFront distributions can be created only in the us-east-1 Region.
  • D. The CloudFront distribution and the S3 bucket cannot be created in the same Region.

Answer: A


NEW QUESTION # 274
A developer migrated a legacy application to an AWS Lambda function. The function uses a third-party service to pull data with a series of API calls at the end of each month. The function than processes the data to generate the monthly reports. The function has Been working with no issues so far.
The third-party service recently issued a restriction to allow a feed number to API calls each minute and each day. If the API calls exceed the limit tor each minute or each day, then the service will produce errors. The API also provides the minute limit and daily limit in the response header. This restriction might extend the overall process to multiple days because the process is consuming more API calls than the available limit.
What is the MOST operationally efficient way to refactor the server less application to accommodate this change?

  • A. Use Amazon Kinesis Data Firehose to batch me API calls and deliver them to an Amazon S3 bucket win an event notification to invoke the Lambda function.
  • B. Use an Amazon CloudWatch Logs metric to count the number of API calls. Configure an Amazon CloudWatch alarm flat slops the currently running instance of the Lambda function when the metric exceeds the API threshold limits.
  • C. Use an Amazon Simple Queue Service (Amazon SQS) queue to hold the API calls. Configure the Lambda function to poll the queue within the API threshold limits.
  • D. Use an AWS Step Functions State machine to monitor API failures. Use the Wait state to delay calling the Lambda function.

Answer: D

Explanation:
Explanation
The solution that will meet the requirements is to use an AWS Step Functions state machine to monitor API failures. Use the Wait state to delay calling the Lambda function. This way, the developer can refactor the serverless application to accommodate the change in a way that is automated and scalable. The developer can use Step Functions to orchestrate the Lambda function and handle any errors or retries. The developer can also use the Wait state to pause the execution for a specified duration or until a specified timestamp, which can help avoid exceeding the API limits. The other options either involve using additional services that are not necessary or appropriate for this scenario, or do not address the issue of API failures.


NEW QUESTION # 275
......

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