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Amazon DVA-C02 Exam is designed to test the skills and knowledge of developers who work with Amazon Web Services (AWS). DVA-C02 exam is intended for individuals who have experience working with AWS services and developing applications that run on the AWS platform. DVA-C02 exam is designed to assess a candidate's ability to design, develop, and deploy applications on AWS.

The AWS Certified Developer - Associate certification exam covers a wide range of topics, including AWS core services, security, databases, and deployment and management. Candidates are required to have a strong understanding of programming languages such as Python, Java, and Ruby, as well as experience with AWS services such as EC2, S3, and Lambda.

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The DVA-C02 exam covers a wide range of topics related to AWS development, including developing and debugging AWS services, deploying AWS applications, and implementing security and compliance measures. DVA-C02 Exam also tests candidates' ability to use AWS services to create scalable and resilient applications, as well as their knowledge of AWS best practices.

Amazon AWS Certified Developer - Associate Sample Questions (Q225-Q230):

NEW QUESTION # 225
A developer is creating an AWS Lambda function that needs network access to private resources in a VPC.

A. Attach the Lambda function to the VPC through private subnets. Create a security group that allows network access to the private resources. Associate the security group with the Lambda function.
B. Configure a VPC endpoint connection for the Lambda function. Set up the VPC endpoint to route traffic through a NAT gateway.
C. Configure the Lambda function to route traffic through a VPN connection. Create a security group that allows network access to the private resources. Associate the security group with the Lambda function.
D. Configure an AWS PrivateLink endpoint for the private resources. Configure the Lambda function to reference the PrivateLink endpoint.

Answer: A

Explanation:
Comprehensive Detailed Step by Step Explanation with All AWS Developer Reference:
When you need to provide an AWS Lambda function access to private resources in a VPC, the most common and straightforward approach is to attach the Lambda function to a VPC via private subnets. Once the Lambda function is associated with the VPC, you need to configure appropriate security groups to control the access to the private resources.
Lambda with VPC Access: Lambda functions can be attached to private subnets in a VPC, allowing them to access resources like RDS, EC2, or internal services within that VPC.
Security Groups: A security group acts as a virtual firewall for the Lambda function, ensuring that it can access only the necessary resources and ports in the VPC.
Alternatives:
Option B involves routing traffic through a VPN, which adds unnecessary complexity and operational overhead compared to simply attaching the Lambda to the VPC.
Option C requires configuring a VPC endpoint and a NAT gateway, which can be complex and costly.
Option D refers to AWS PrivateLink, which is used to access services over private connections, but it's unnecessary in this scenario unless you need a cross-VPC connection.
Reference:
Lambda functions in a VPC

NEW QUESTION # 226
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. Download the Python library to an S3 bucket. Program the Lambda functions to reference the object URLs.
B. Combine the two Lambda functions into one Lambda function. Deploy the Lambda function as a single .zip file archive.
C. Create a Lambda layer with the required Python library. Use the Lambda layer in both Lambda functions.
D. Package each Python library in its own .zip file archive. Deploy each Lambda function with its own copy of the library.

Answer: C

Explanation:
AWS Lambda is a service that lets developers run code without provisioning or managing servers. Lambda layers are a distribution mechanism for libraries, custom runtimes, and other dependencies. The developer can create a Lambda layer with the required Python library and use the layer in both Lambda functions. This will reduce the size of the Lambda deployment packages and avoid reaching the quota for the maximum size of zipped deployment packages. The developer can also benefit from using layers to manage dependencies separately from function code.
Reference:
[What Is AWS Lambda? - AWS Lambda]
[AWS Lambda Layers - AWS Lambda]

NEW QUESTION # 227
A company runs a web application on Amazon EC2 instances behind an Application Load Balancer. The application uses Amazon DynamoDB as its database. The company wants to ensure high performance for reads and writes.
Which solution will meet these requirements MOST cost-effectively?

A. Configure auto-scaling for the DynamoDB table with a target utilization of 70%. Set the minimum and maximum capacity units based on the expected workload.
B. Create an Amazon DynamoDB Accelerator (DAX) cluster. Configure the application to use the DAX endpoint.
C. Use DynamoDB on-demand capacity mode for the table. Specify a maximum throughput higher than the expected peak read and write capacity units.
D. Use DynamoDB provisioned throughput mode for the table. Create an Amazon CloudWatch alarm on the ThrottledRequests metric. Invoke an AWS Lambda function to increase provisioned capacity.

Answer: A

Explanation:
Comprehensive Detailed Explanation with all AWS Reference
Why Option A is Correct:
Auto-scaling with a target utilization ensures the DynamoDB table dynamically adjusts capacity based on workload, maintaining high performance while optimizing cost. Setting a reasonable target utilization minimizes overprovisioning and throttling risks.
Why Other Options are Incorrect:
Option B: On-demand capacity is costlier than provisioned throughput for predictable workloads.
Option C: Using manual CloudWatch alarms and Lambda for scaling is less efficient and adds operational overhead.
Option D: DAX accelerates read performance but does not improve write performance.
AWS Documentation Reference:
DynamoDB Auto Scaling

NEW QUESTION # 228
A company is providing read access to objects in an Amazon S3 bucket for different customers.
The company uses IAM permissions to restrict access to the S3 bucket. The customers can access only their own files.
Due to a regulation requirement, the company needs to enforce encryption in transit for interactions with Amazon S3.
Which solution will meet these requirements?

A. Add a bucket policy to the S3 bucket to deny S3 actions when the s3:x-amz-acl condition is equal to public-read.
B. Add an IAM policy to the IAM users that allows S3 actions when the s3:x-amz-acl condition is equal to bucket-owner-read.
C. Add an IAM policy to the IAM users to enforce the usage of the AWS SDK.
D. Add a bucket policy to the S3 bucket to deny S3 actions when the aws:SecureTransport condition is equal to false.

Answer: D

Explanation:
This solution enforces encryption in transit for interactions with Amazon S3 by denying access to the S3 bucket if the request is not made over an HTTPS connection. This condition can be enforced by using the "aws:SecureTransport" condition key in a bucket policy.

NEW QUESTION # 229
An application that runs on AWS Lambda requires access to specific highly confidential objects in an Amazon S3 bucket. In accordance with the principle of least privilege a company grants access to the S3 bucket by using only temporary credentials.
How can a developer configure access to the S3 bucket in the MOST secure way?

A. Create a secret access key and access key ID with permission to access the S3 bucket. Store the key and key ID in AWS Secrets Manager. Configure the application to retrieve the Secrets Manager secret and use the credentials to access me S3 objects.
B. Hardcode the credentials that are required to access the S3 objects in the application code. Use the credentials to access me required S3 objects.
C. Create a Lambda function execution role Attach a policy to the rote that grants access to specific objects in the S3 bucket.
D. Create a secret access key and access key ID with permission to access the S3 bucket Store the key and key ID as environment variables m Lambda. Use the environment variables to access the required S3 objects.

Answer: C

Explanation:
Explanation
This solution will meet the requirements by creating a Lambda function execution role, which is an IAM role that grants permissions to a Lambda function to access AWS resources such as Amazon S3 objects. The developer can attach a policy to the role that grants access to specific objects in the S3 bucket that are required by the application, following the principle of least privilege. Option A is not optimal because it will hardcode the credentials that are required to access S3 objects in the application code, which is insecure and difficult to maintain. Option B is not optimal because it will create a secret access key and access key ID with permission to access the S3 bucket, which will introduce additional security risks and complexity for storing and managing credentials. Option D is not optimal because it will store the secret access key and access key ID as environment variables in Lambda, which is also insecure and difficult to maintain.
References: [AWS Lambda Execution Role], [Using AWS Lambda with Amazon S3]

NEW QUESTION # 230
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Get Certified by Amazon DVA-C02 Exam to Improve Your Professional Career

DVA-C02 New Study Materials - DVA-C02 100% Exam Coverage

Amazon AWS Certified Developer - Associate Sample Questions (Q225-Q230):

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