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The AWS Certified Developer - Associate exam covers a range of topics, including AWS core services, security, identity and access management, databases, and storage. Candidates are required to demonstrate proficiency in developing, deploying, and debugging cloud-based applications using AWS services like AWS Lambda, Amazon S3, Amazon DynamoDB, and Amazon EC2.

Amazon DVA-C02 (AWS Certified Developer - Associate) exam is a comprehensive certification that validates the skills and knowledge of developers in designing and deploying scalable, highly available, and fault-tolerant applications on AWS. DVA-C02 Exam is intended for individuals who have experience in programming and working with AWS services, and it covers a wide range of topics such as AWS core services, security, and architecture best practices.

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Amazon DVA-C02 Exam consists of 65 multiple-choice and multiple-response questions that must be completed within 130 minutes. DVA-C02 exam fee is $150, and it can be taken online or at a testing center. Candidates who successfully pass the exam will receive the AWS Certified Developer - Associate certification, which is valid for three years. They will also be listed in the AWS Certified Developer - Associate directory and have access to exclusive AWS certification events and resources.

Amazon AWS Certified Developer - Associate Sample Questions (Q534-Q539):

NEW QUESTION # 534
A developer compiles an AWS Lambda function and packages the result as a .zip file. The developer uses the Functions page on the Lambda console to attempt to upload the local packaged .zip file. When pushing the package to Lambda, the console returns the following error:

Which solutions can the developer use to publish the code? (Select TWO.)

A. Upload the package to Amazon S3. Use the Functions page on the Lambda console to upload the package from the S3 location.
B. Create an AWS Support ticket to increase the maximum package size.
C. Use the update-function-code AWS CLI command. Pass the -publish parameter.
D. Repackage the Lambda function as a Docker container image. Upload the image to Amazon Elastic Container Registry {Amazon ECR). Create a new Lambda function by using the Lambda console.
Reference the image that is deployed to Amazon ECR.
E. Sign the .zip file digitally. Create a new Lambda function by using the Lambda console. Update the configuration of the new Lambda function to include the Amazon Resource Name (ARN) of the code signing configuration.

Answer: A,D

NEW QUESTION # 535
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. Download the Python library to an S3 bucket. Program the Lambda functions to reference the object URLs.
D. Combine the two Lambda functions into one Lambda function. Deploy the Lambda function as a single .
zip file archive.

Answer: B

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.

NEW QUESTION # 536
A company uses a custom root certificate authority certificate chain (Root CA Cert) that is 10 KB in size generate SSL certificates for its on-premises HTTPS endpoints. One of the company's cloud based applications has hundreds of AWS Lambda functions that pull date from these endpoints. A developer updated the trust store of the Lambda execution environment to use the Root CA Cert when the Lambda execution environment is initialized. The developer bundled the Root CA Cert as a text file in the Lambdas deployment bundle.
After 3 months of development the root CA Cert is no longer valid and must be updated. The developer needs a more efficient solution to update the Root CA Cert for all deployed Lambda functions. The solution must not include rebuilding or updating all Lambda functions that use the Root CA Cert. The solution must also work for all development, testing and production environment. Each environment is managed in a separate AWS account.
When combination of steps Would the developer take to meet these environments MOST cost-effectively? (Select TWO)

A. Refactor the Lambda code to load the Root CA Cert from the Root CA Certs location. Modify the runtime trust store inside the Lambda function handler.
B. Store the Root CA Cert as a Secure Sting parameter in aws Systems Manager Parameter Store Create a resource-based policy. Add IAM users to allow access to the policy.
C. Store the Root CA Cert as a secret in AWS Secrets Manager. Create a resource-based policy. Add IAM users to allow access to the secret
D. Store the Root CA Cert in an Amazon S3 bucket. Create a resource- based policy to allow access to the bucket.
E. Refactor the Lambda code to load the Root CA Cert from the Root CA Cert's location. Modify the runtime trust store outside the Lambda function handler.

Answer: B,E

Explanation:
This solution will meet the requirements by storing the Root CA Cert as a Secure String parameter in AWS Systems Manager Parameter Store, which is a secure and scalable service for storing and managing configuration data and secrets. The resource-based policy will allow IAM users in different AWS accounts and environments to access the parameter without requiring cross-account roles or permissions. The Lambda code will be refactored to load the Root CA Cert from the parameter store and modify the runtime trust store outside the Lambda function handler, which will improve performance and reduce latency by avoiding repeated calls to Parameter Store and trust store modifications for each invocation of the Lambda function. Option A is not optimal because it will use AWS Secrets Manager instead of AWS Systems Manager Parameter Store, which will incur additional costs and complexity for storing and managing a non-secret configuration data such as Root CA Cert. Option C is not optimal because it will deactivate the application secrets and monitor the application error logs temporarily, which will cause application downtime and potential data loss. Option D is not optimal because it will modify the runtime trust store inside the Lambda function handler, which will degrade performance and increase latency by repeating unnecessary operations for each invocation of the Lambda function.

NEW QUESTION # 537
A company runs a payment application on Amazon EC2 instances behind an Application Load Balance The EC2 instances run in an Auto Scaling group across multiple Availability Zones The application needs to retrieve application secrets during the application startup and export the secrets as environment variables These secrets must be encrypted at rest and need to be rotated every month.
Which solution will meet these requirements with the LEAST development effort?

A. Save the secrets as base64 encoded environment variables in the application properties. Retrieve the secrets during the application startup. Reference the secrets in the application code. Write a script to rotate the secrets saved as environment variables.
B. Store the secrets in AWS Secrets Manager Provision a new customer master key Use the key to encrypt the secrets Enable automatic rotation Configure an Amazon EC2 user data script to programmatically retrieve the secrets during the startup and export as environment variables
C. Save the secrets as strings in AWS Systems Manager Parameter Store and use the default AWS Key Management Service (AWS KMS) key Configure an Amazon EC2 user data script to retrieve the secrets during the startup and export as environment variables Configure an AWS Lambda function to rotate the secrets in Parameter Store every month.
D. Save the secrets in a text file and store the text file in Amazon S3 Provision a customer managed key Use the key for secret encryption in Amazon S3 Read the contents of the text file and read the export as environment variables Configure S3 Object Lambda to rotate the text file every month

Answer: B

Explanation:
* AWS Secrets Manager: Built for managing secrets, providing encryption, automatic rotation, and access control.
* Customer Master Key (CMK): Provides an extra layer of control over encryption through AWS KMS.
* Automatic Rotation: Enhances security by regularly changing the secret.
* User Data Script: Allows secrets retrieval at instance startup and sets them as environment variables for seamless use within the application.

NEW QUESTION # 538
A developer wants to store information about movies. Each movie has a title, release year, and genre. The movie information also can include additional properties about the cast and production crew. This additional information is inconsistent across movies. For example, one movie might have an assistant director, and another movie might have an animal trainer.
The developer needs to implement a solution to support the following use cases:
For a given title and release year, get all details about the movie that has that title and release year.
For a given title, get all details about all movies that have that title.
For a given genre, get all details about all movies in that genre.
Which data store configuration will meet these requirements?

A. On an Amazon RDS DB instance, create a table that contains columns for title, release year, and genre. Configure the title as the primary key.
B. On an Amazon RDS DB instance, create a table where the primary key is the title and all other data is encoded into JSON format as one additional column.
C. Create an Amazon DynamoDB table. Configure the table with a primary key that consists of the genre as the partition key and the release year as the sort key. Create a global secondary index that uses the title as the partition key.
D. Create an Amazon DynamoDB table. Configure the table with a primary key that consists of the title as the partition key and the release year as the sort key. Create a global secondary index that uses the genre as the partition key and the title as the sort key.

Answer: D

Explanation:
Amazon DynamoDB is a fully managed NoSQL database service that provides fast and consistent performance with seamless scalability. The developer can create a DynamoDB table and configure the table with a primary key that consists of the title as the partition key and the release year as the sort key. This will enable querying for a given title and release year efficiently. The developer can also create a global secondary index that uses the genre as the partition key and the title as the sort key. This will enable querying for a given genre efficiently. The developer can store additional properties about the cast and production crew as attributes in the DynamoDB table. These attributes can have different data types and structures, and they do not need to be consistent across items.
Reference:
[Amazon DynamoDB]
[Working with Queries - Amazon DynamoDB]
[Working with Global Secondary Indexes - Amazon DynamoDB]

NEW QUESTION # 539
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