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DVA-C02 Exam Labs - DVA-C02 Exam Dumps Provider
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Amazon DVA-C02 certification exam is a multiple-choice exam that consists of 65 questions. Candidates are given 130 minutes to complete the exam. DVA-C02 exam is available in multiple languages, including English, Japanese, Korean, and Simplified Chinese. DVA-C02 exam fee is $150, and candidates can take the exam at a testing center or online.
Amazon DVA-C02 exam covers a wide range of topics, including AWS core services such as EC2, S3, and RDS, as well as developer-focused services such as AWS Lambda, AWS Elastic Beanstalk, and AWS CloudFormation. Candidates are also tested on their knowledge of programming languages such as Java, Python, and JavaScript, as well as modern application development practices such as DevOps, continuous integration and delivery, and serverless architecture.
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.
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Amazon AWS Certified Developer - Associate Sample Questions (Q541-Q546):
NEW QUESTION # 541
A developer has created an AWS Lambda function for a company's application. The developer must make the Lambda function available for other developers at the company to deploy as needed. The other developers must be able to use the application without needing to configure the environment or resources.
The developer decides to publish the application in the AWS Serverless Application Repository and needs to build the AWS SAM template for the deployment.
Which sections is the developer required to include in the template? (Choose two.)
- A. Resources
- B. Transform
- C. Parameters
- D. Globals
- E. Metadata
Answer: A,B
Explanation:
A valid AWS SAM template for the Serverless Application Repository must include the Resources section to define the AWS resources (such as the Lambda function) and the Transform section to specify the use of the AWS SAM transform. These are mandatory to describe the infrastructure and enable SAM processing.
NEW QUESTION # 542
An online food company provides an Amazon API Gateway HTTP API 1o receive orders for partners. The API is integrated with an AWS Lambda function. The Lambda function stores the orders in an Amazon DynamoDB table.
The company expects to onboard additional partners Some to me panthers require additional Lambda function to receive orders. The company has created an Amazon S3 bucket. The company needs 10 store all orders and updates m the S3 bucket for future analysis How can the developer ensure that an orders and updates are stored to Amazon S3 with the LEAST development effort?
- A. Create a new Lambda function and a new API Gateway API endpoint. Configure the new Lambda function to write to the S3 bucket. Modify the original Lambda function to post updates to the new API endpoint.
- B. Modify the Lambda function to punish to a new Amazon. Simple Lambda function receives orders. Subscribe a new Lambda function to the topic. Configure the new Lambda function to write to the S3 bucket as updates come through the topic.
- C. Use Amazon Kinesis Data Streams to create a new data stream. Modify the Lambda function to publish orders to the oats stream Configure in data stream to write to the S3 bucket.
- D. Enable DynamoDB Streams on me DynamoOB table. Create a new lambda function. Associate the stream's Amazon Resource Name (ARN) with the Lambda Function Configure the Lambda function to write to the S3 bucket as records appear in the table's stream.
Answer: D
Explanation:
This solution will ensure that all orders and updates are stored to Amazon S3 with the least development effort because it uses DynamoDB Streams to capture changes in the DynamoDB table and trigger a Lambda function to write those changes to the S3 bucket. This way, the original Lambda function and API Gateway API endpoint do not need to be modified, and no additional services are required. Option A is not optimal because it will require more development effort to create a new Lambda function and a new API Gateway API endpoint, and to modify the original Lambda function to post updates to the new API endpoint. Option B is not optimal because it will introduce additional costs and complexity to use Amazon Kinesis Data Streams to create a new data stream, and to modify the Lambda function to publish orders to the data stream. Option D is not optimal because it will require more development effort to modify the Lambda function to publish to a new Amazon SNS topic, and to create and subscribe a new Lambda function to the topic.
NEW QUESTION # 543
A developer created a web API that receives requests by using an internet-facing Application Load Balancer (ALB) with an HTTPS listener. The developer configures an Amazon Cognito user pool and wants to ensure that every request to the API is authenticated through Amazon Cognito.
What should the developer do to meet this requirement?
- A. Add a listener rule to the listener to return a fixed response if the Authorization header is missing.
Set the fixed response to 401 Unauthorized. - B. Create a new target group that includes an AWS Lambda function target that validates the Authorization header by using Amazon Cognito. Associate the target group with the listener.
- C. Create an Amazon API Gateway API. Configure all API methods to be forwarded to the ALB endpoint. Create an authorizer of the COGNITO_USER_POOLS type. Configure every API method to use that authorizer.
- D. Create an authentication action for the listener rules of the ALSet the rule action type to authenticate-cognito. Set the OnUnauthenticatedRequest field to "deny."
Answer: D
NEW QUESTION # 544
An ecommerce application is running behind an Application Load Balancer. A developer observes some unexpected load on the application during non-peak hours. The developer wants to analyze patterns for the client IP addresses that use the application. Which HTTP header should the developer use for this analysis?
- A. The X-F Forwarded-Host header
- B. The X-Forwarded-Port header
- C. The X-Forwarded-Proto header
- D. The X-Forwarded-For header
Answer: D
Explanation:
The HTTP header that the developer should use for this analysis is the X-Forwarded-For header. This header contains the IP address of the client that made the request to the Application Load Balancer. The developer can use this header to analyze patterns for the client IP addresses that use the application. The other headers either contain information about the protocol, host, or port of the request, which are not relevant for the analysis.
NEW QUESTION # 545
A company is migrating its PostgreSQL database into the AWS Cloud. The company wants to use a database that will secure and regularly rotate database credentials. The company wants a solution that does not require additional programming overhead.
Which solution will meet these requirements?
- A. Use Amazon DynamoDB for the database. Store the database credentials in AWS Secrets Manager Turn on rotation.
- B. Use Amazon Aurora PostgreSQL for the database. Store the database credentials in AWS Secrets Manager Turn on rotation.
- C. Use Amazon DynamoDB for the database. Store the database credentials in AWS Systems Manager Parameter Store Turn on rotation.
- D. Use Amazon Aurora PostgreSQL tor the database. Store the database credentials in AWS Systems Manager Parameter Store Turn on rotation.
Answer: B
Explanation:
This solution meets the requirements because it uses a PostgreSQL-compatible database that can secure and regularly rotate database credentials without requiring additional programming overhead. Amazon Aurora PostgreSQL is a relational database service that is compatible with PostgreSQL and offers high performance, availability, and scalability. AWS Secrets Manager is a service that helps you protect secrets needed to access your applications, services, and IT resources. You can store database credentials in AWS Secrets Manager and use them to access your Aurora PostgreSQL database. You can also enable automatic rotation of your secrets according to a schedule or an event. AWS Secrets Manager handles the complexity of rotating secrets for you, such as generating new passwords and updating your database with the new credentials. Using Amazon DynamoDB for the database will not meet the requirements because it is a NoSQL database that is not compatible with PostgreSQL. Using AWS Systems Manager Parameter Store for storing and rotating database credentials will require additional programming overhead to integrate with your database.
NEW QUESTION # 546
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