EXAM DVA-C02 SYLLABUS | VALID DVA-C02: AWS CERTIFIED DEVELOPER - ASSOCIATE

Exam DVA-C02 Syllabus | Valid DVA-C02: AWS Certified Developer - Associate

Exam DVA-C02 Syllabus | Valid DVA-C02: AWS Certified Developer - Associate

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Tags: Exam DVA-C02 Syllabus, Latest Test DVA-C02 Discount, DVA-C02 Certification Questions, DVA-C02 Latest Exam Cram, New DVA-C02 Exam Topics

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After passing the Amazon DVA-C02 exam you can gain more career opportunities and feel confident to pursue a rewarding career in your professional life. You can enhance your earning, get an instant promotion, can use the Amazon DVA-C02 Certification badge, and will be ready to gain more job roles.

The 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 like AWS Lambda, API Gateway, and DynamoDB. Candidates are tested on their ability to design, develop, and deploy cloud-based applications using AWS services. They are also expected to have a good understanding of AWS security, best practices, and cost optimization.

Amazon DVA-C02 exam is a comprehensive and challenging certification that can help developers advance their careers by demonstrating their expertise in AWS technologies. Candidates who pass the exam will be able to showcase their skills to potential employers and clients, and will have access to a range of job opportunities in the fast-growing cloud computing industry.

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 AWS Certified Developer - Associate Sample Questions (Q194-Q199):

NEW QUESTION # 194
A healthcare company uses AWS Amplify to host a patient management system. The system uses Amazon API Gateway to expose RESTful APIs. The backend logic of the system is handled by AWS Lambda functions.
One of the Lambda functions receives patient data that includes personally identifiable information (PII). The Lambda function sends the patient data to an Amazon DynamoDB table. The company must encrypt all patient data at rest and in transit before the data is stored in DynamoDB.

  • A. Configure the Lambda function to use AWS KMS keys with the AWS Database Encryption SDK to encrypt the patient data before sending the data to DynamoDB.
  • B. Use an AWS Step Functions workflow to transfer the data to an Amazon SQS queue. Configure a Lambda function to encrypt the data in the queue before sending the data to the DynamoDB table.
  • C. Use AWS managed AWS KMS keys to encrypt the data in the DynamoDB table.
  • D. Configure a DynamoDB stream on the table to invoke a Lambda function. Configure the Lambda function to use an AWS KMS key to encrypt the DynamoDB table and to update the table.

Answer: A

Explanation:
Comprehensive Detailed Explanation with all AWS References
* Why Option A is Correct:Encrypting PII at rest and in transit before storing it in DynamoDB ensures end-to-end security. Using the AWS Database Encryption SDK with KMS keys allows the Lambda function to encrypt data before transmission, meeting security and compliance requirements.
* Why Other Options are Incorrect:
* Option B: While AWS-managed KMS keys encrypt DynamoDB data at rest, they do not encrypt data in transit.
* Option C: DynamoDB streams process updates after the data is written to the table, failing to encrypt PII in transit.
* Option D: Step Functions and SQS add unnecessary complexity and still require encryption logic for both transit and at rest.
* AWS Documentation References:
* Encrypting Data in DynamoDB
* AWS Database Encryption SDK


NEW QUESTION # 195
A company is using Amazon OpenSearch Service to implement an audit monitoring system. A developer needs to create an AWS Cloudformation custom resource that is associated with an AWS Lambda function to configure the OpenSearch Service domain. The Lambda function must access the OpenSearch Service domain by using Open Search Service internal master user credentials.
What is the MOST secure way to pass these credentials to the Lambdas function?

  • A. Use CloudFoimalion to create an AWS Secrets Manager Secret. Use a CloudFormation dynamic reference to retrieve the secret's value for the OpenSearch Service domain's MasterUserOptions. Create an 1AM role that has the secrets manager. GetSecretvalue permission. Assign the role to the Lambda Function Store the secrets name as the Lambda function's environment variable. Resole the secret's value at runtime.
  • B. Use a CloudFormation parameter to pass the master uses credentials at deployment to the OpenSearch Service domain's MasterUserOptions and the Lambda function's environment varleWe Encrypt the parameters value by using the AWS Key Management Service (AWS KMS) encrypt command.
  • C. Use a CloudFormation parameter to pass the master user credentials at deployment to the OpenSearch Service domain's MasterUserOptions and the Lambda function's environment variable. Set the No Echo attenuate to true.
  • D. Use a CloudFormation parameter to pass the master user credentials at deployment to the OpenSearch Service domain's MasterUserOptions and to create a parameter. In AWS Systems Manager Parameter Store. Set the No Echo attribute to true. Create an 1AM role that has the ssm GetParameter permission.
    Assign me role to the Lambda function. Store me parameter name as the Lambda function's environment variable. Resolve the parameter's value at runtime.

Answer: A

Explanation:
The solution that will meet the requirements is to use CloudFormation to create an AWS Secrets Manager secret. Use a CloudFormation dynamic reference to retrieve the secret's value for the OpenSearch Service domain's MasterUserOptions. Create an IAM role that has the secretsmanager:GetSecretValue permission.
Assign the role to the Lambda function. Store the secret's name as the Lambda function's environment variable. Resolve the secret's value at runtime. This way, the developer can pass the credentials to the Lambda function in a secure way, as AWS Secrets Manager encrypts and manages the secrets. The developer can also use a dynamic reference to avoid exposing the secret's value in plain text in the CloudFormation template. The other options either involve passing the credentials as plain text parameters, which is not secure, or encrypting them with AWS KMS, which is less convenient than using AWS Secrets Manager.


NEW QUESTION # 196
A company is building a compute-intensive application that will run on a fleet of Amazon EC2 instances. The application uses attached Amazon Elastic Block Store (Amazon EBS) volumes for storing dat a. The Amazon EBS volumes will be created at time of initial deployment. The application will process sensitive information. All of the data must be encrypted. The solution should not impact the application's performance.
Which solution will meet these requirements?

  • A. Configure the fleet of EC2 instances to use encrypted EBS volumes to store data.
  • B. Configure an Amazon Machine Image (AMI) that has an encrypted root volume and store the data to ephemeral disks.
  • C. Configure a custom encryption algorithm for the application that will encrypt and decrypt all data.
  • D. Configure the application to write all data to an encrypted Amazon S3 bucket.

Answer: A

Explanation:
Amazon Elastic Block Store (Amazon EBS) provides block level storage volumes for use with Amazon EC2 instances1. Amazon EBS encryption offers a straight-forward encryption solution for your EBS resources associated with your EC2 instances1. When you create an encrypted EBS volume and attach it to a supported instance type, the following types of data are encrypted: Data at rest inside the volume, all data moving between the volume and the instance, all snapshots created from the volume, and all volumes created from those snapshots1. Therefore, option A is correct.


NEW QUESTION # 197
A developer is creating an application that must transfer expired items from Amazon DynamoDB to Amazon S3. The developer sets up the DynamoDB table to automatically delete items after a specific TTL. The application must process the items in DynamoDB and then must store the expired items in Amazon S3. The entire process, including item processing and storage in Amazon S3, will take 5 minutes.
Which solution will meet these requirements with the LEAST operational overhead?

  • A. Configure DynamoDB Streams to invoke an AWS Lambda function. Program the Lambda function to process the items and to store the expired items in Amazon S3.
  • B. Configure DynamoDB Accelerator (DAX) to query for expired items based on the TTL. Save the results to Amazon S3.
  • C. Deploy a custom application on an Amazon Elastic Container Service (Amazon ECS) cluster on Amazon EC2 instances. Program the custom application to process the items and to store the expired items in Amazon S3.
  • D. Create an Amazon EventBridge rule to invoke an AWS Lambda function. Program the Lambda function to process the items and to store the expired items in Amazon S3.

Answer: A


NEW QUESTION # 198
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. 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.
  • B. 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.
  • C. 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.
  • D. 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.

Answer: D

Explanation:
AWS Lambda is a service that lets you run code without provisioning or managing servers. Lambda functions can be configured to access resources in a VPC, such as an Aurora database, by specifying one or more subnets and security groups in the VPC settings of the function. A security group acts as a virtual firewall that controls inbound and outbound traffic for the resources in a VPC. To allow a Lambda function to communicate with an Aurora database, both resources need to be associated with the same security group, and the security group rules need to allow TCP traffic on Port 3306, which is the default port for MySQL databases. Reference: [Configuring a Lambda function to access resources in a VPC]


NEW QUESTION # 199
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