Amazon DVA-C02 Real Exam Questions
The questions for DVA-C02 were last updated at Sep 05,2024.
- Exam Code: DVA-C02
- Exam Name: AWS Certified Developer - Associate
- Certification Provider: Amazon
- Latest update: Sep 05,2024
A developer wants to insert a record into an Amazon DynamoDB table as soon as a new file is added to an Amazon S3 bucket.
Which set of steps would be necessary to achieve this?
- A . Create an event with Amazon EventBridge that will monitor the S3 bucket and then insert the records into DynamoDB.
- B . Configure an S3 event to invoke an AWS Lambda function that inserts records into DynamoDB.
- C . Create an AWS Lambda function that will poll the S3 bucket and then insert the records into DynamoDB.
- D . Create a cron job that will run at a scheduled time and insert the records into DynamoDB.
A developer needs to perform geographic load testing of an API. The developer must deploy resources to multiple AWS Regions to support the load testing of the API.
How can the developer meet these requirements without additional application code?
- A . Create and deploy an AWS Lambda function in each desired Region. Configure the Lambda function to create a stack from an AWS CloudFormation template in that Region when the function is invoked.
- B . Create an AWS CloudFormation template that defines the load test resources. Use the AWS CLI create-stack-set command to create a stack set in the desired Regions.
- C . Create an AWS Systems Manager document that defines the resources. Use the document to create the resources in the desired Regions.
- D . Create an AWS CloudFormation template that defines the load test resources. Use the AWS CLI deploy command to create a stack from the template in each Region.
A developer is designing an AWS Lambda function that creates temporary files that are less than 10 MB during invocation. The temporary files will be accessed and modified multiple times during invocation. The developer has no need to save or retrieve these files in the future. Where should the temporary files be stored?
- A . the /tmp directory
- B . Amazon Elastic File System (Amazon EFS)
- C . Amazon Elastic Block Store (Amazon EBS)
- D . Amazon S3
An application that is hosted on an Amazon EC2 instance needs access to files that are stored in an
Amazon S3 bucket. The application lists the objects that are stored in the S3 bucket and displays a table to the user. During testing, a developer discovers that the application does not show any objects in the list.
What is the MOST secure way to resolve this issue?
- A . Update the IAM instance profile that is attached to the EC2 instance to include the S3: * permission for the S3 bucket.
- B . Update the IAM instance profile that is attached to the EC2 instance to include the S3: ListBucket permission for the S3 bucket.
- C . Update the developer’s user permissions to include the S3: ListBucket permission for the S3 bucket.
- D . Update the S3 bucket policy by including the S3: ListBucket permission and by setting the Principal element to specify the account number of the EC2 instance.
A company has deployed infrastructure on AWS. A development team wants to create an AWS Lambda function that will retrieve data from an Amazon Aurora database. The Amazon Aurora database is in a private subnet in company’s VPC. The VPC is named VPC1. The data is relational in nature. The Lambda function needs to access the data securely.
Which solution will meet these requirements?
- A . Create the Lambda function. Configure VPC1 access for the function. Attach a security group named SG1 to both the Lambda function and the database. Configure the security group inbound and outbound rules to allow TCP traffic on Port 3306.
- B . Create and launch a Lambda function in a new public subnet that is in a new VPC named VPC2.
Create a peering connection between VPC1 and VPC2. - C . Create the Lambda function. Configure VPC1 access for the function. Assign a security group named SG1 to the Lambda function. Assign a second security group named SG2 to the database. Add an inbound rule to SG1 to allow TCP traffic from Port 3306.
- D . Export the data from the Aurora database to Amazon S3. Create and launch a Lambda function in VPC1. Configure the Lambda function query the data from Amazon S3.
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 an EC2 instance to host the MySQL database. Store the session data and the application data in the MySQL database.
- B . 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.
- C . Use Amazon ElastiCache for Memcached to store and manage the session data and the application data.
- D . Use the EC2 instance store to manage the session data. Use an Amazon RDS for MySQL DB instance to store the application data.
A developer is designing a serverless application with two AWS Lambda functions to process photos. One Lambda function stores objects in an Amazon S3 bucket and stores the associated metadata in an Amazon DynamoDB table. The other Lambda function fetches the objects from the S3 bucket by using the metadata from the DynamoDB table. Both Lambda functions use the same Python library to perform complex computations and are approaching the quota for the maximum size of zipped deployment packages.
What should the developer do to reduce the size of the Lambda deployment packages with the LEAST operational overhead?
- A . Package each Python library in its own .zip file archive. Deploy each Lambda function with its own copy of the library.
- B . Create a Lambda layer with the required Python library. Use the Lambda layer in both Lambda functions.
- C . Combine the two Lambda functions into one Lambda function. Deploy the Lambda function as a single .zip file archive.
- D . Download the Python library to an S3 bucket. Program the Lambda functions to reference the object URLs.
A developer is creating an application that includes an Amazon API Gateway REST API in the us-east-2 Region. The developer wants to use Amazon CloudFront and a custom domain name for the API. The developer has acquired an SSL/TLS certificate for the domain from a third-party provider.
How should the developer configure the custom domain for the application?
- A . Import the SSL/TLS certificate into AWS Certificate Manager (ACM) in the same Region as the API.
Create a DNS A record for the custom domain. - B . Import the SSL/TLS certificate into CloudFront. Create a DNS CNAME record for the custom domain.
- C . Import the SSL/TLS certificate into AWS Certificate Manager (ACM) in the same Region as the API.
Create a DNS CNAME record for the custom domain. - D . Import the SSL/TLS certificate into AWS Certificate Manager (ACM) in the us-east-1 Region. Create a DNS CNAME record for the custom domain.
A developer is creating an application that will give users the ability to store photos from their cellphones in the cloud. The application needs to support tens of thousands of users. The application uses an Amazon API Gateway REST API that is integrated with AWS Lambda functions to process the photos. The application stores details about the photos in Amazon DynamoDB.
Users need to create an account to access the application. In the application, users must be able to upload photos and retrieve previously uploaded photos. The photos will range in size from 300 KB to 5 MB.
Which solution will meet these requirements with the LEAST operational overhead?
- A . Use Amazon Cognito user pools to manage user accounts. Create an Amazon Cognito user pool authorizer in API Gateway to control access to the API. Use the Lambda function to store the photos and details in the DynamoDB table. Retrieve previously uploaded photos directly from the DynamoDB table.
- B . Use Amazon Cognito user pools to manage user accounts. Create an Amazon Cognito user pool authorizer in API Gateway to control access to the API. Use the Lambda function to store the photos in Amazon S3. Store the object’s S3 key as part of the photo details in the DynamoDB table. Retrieve previously uploaded photos by querying DynamoDB for the S3 key.
- C . Create an IAM user for each user of the application during the sign-up process. Use IAM authentication to access the API Gateway API. Use the Lambda function to store the photos in Amazon S3. Store the object’s S3 key as part of the photo details in the DynamoDB table. Retrieve previously uploaded photos by querying DynamoDB for the S3 key.
- D . Create a users table in DynamoDB. Use the table to manage user accounts. Create a Lambda authorizer that validates user credentials against the users table. Integrate the Lambda authorizer with API Gateway to control access to the API. Use the Lambda function to store the photos in Amazon S3. Store the object’s S3 key as par of the photo details in the DynamoDB table. Retrieve previously uploaded photos by querying DynamoDB for the S3 key.
A company is migrating legacy internal applications to AWS. Leadership wants to rewrite the internal employee directory to use native AWS services. A developer needs to create a solution for storing employee contact details and high-resolution photos for use with the new application.
Which solution will enable the search and retrieval of each employee’s individual details and high-resolution photos using AWS APIs?
- A . Encode each employee’s contact information and photos using Base64. Store the information in an Amazon DynamoDB table using a sort key.
- B . Store each employee’s contact information in an Amazon DynamoDB table along with the object keys for the photos stored in Amazon S3.
- C . Use Amazon Cognito user pools to implement the employee directory in a fully managed software-as-a-service (SaaS) method.
- D . Store employee contact information in an Amazon RDS DB instance with the photos stored in Amazon Elastic File System (Amazon EFS).