SECRETS TO PASS AMAZON DVA-C02 EXAM SUCCESSFULLY AND EFFECTIVELY

Secrets To Pass Amazon DVA-C02 Exam Successfully And Effectively

Secrets To Pass Amazon DVA-C02 Exam Successfully And Effectively

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Amazon DVA-C02 (AWS Certified Developer - Associate) Certification Exam is a professional certification program offered by Amazon Web Services (AWS) that is specifically designed for developers who want to demonstrate their expertise in designing, deploying, and maintaining applications on AWS. AWS Certified Developer - Associate certification is ideal for developers who have some experience working with AWS and want to validate their skills to potential employers or clients.

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Amazon AWS Certified Developer - Associate Sample Questions (Q186-Q191):

NEW QUESTION # 186
A company stores its data in data tables in a series of Amazon S3 buckets. The company received an alert that customer credit card information might have been exposed in a data table on one of the company's public applications. A developer needs to identify all potential exposures within the application environment.
Which solution will meet these requirements?

  • A. Use Amazon Macie to run a job on the S3 buckets that contain the affected data. Filter the findings by using the SensitiveData:S3Object/Financial finding type.
  • B. Use Amazon Macie to run a job on the S3 buckets that contain the affected data. Filter the findings by using the SensitiveData:S3Object/Personal finding type.
  • C. Use Amazon Athena to run a job on the S3 buckets that contain the affected data. Filter the findings by using the SensitiveData:S3Object/Financial finding type.
  • D. Use Amazon Athena to run a job on the S3 buckets that contain the affected data. Filter the findings by using the SensitiveData:S3Object/Personal finding type.

Answer: A

Explanation:
Use Amazon Macie to run a job on the S3 buckets that contain the affected data. Filter the findings by using the SensitiveData:S3Object/Financial finding type.
Option A and D suggest using Amazon Athena, which is an interactive query service that can be used to analyze data stored in S3 using standard SQL queries. While Athena can help identify data in S3 buckets, it does not provide the same level of automated scanning and pattern matching that Amazon Macie does.
Option C is incorrect because the SensitiveData:S3Object/Personal finding type is designed to identify personally identifiable information (PII), such as names and addresses, but not credit card information.


NEW QUESTION # 187
A developer previously deployed an AWS Lambda function as a .zip package. The developer needs to deploy the Lambda function as a container.

  • A. Create an Amazon ECR repository in the same AWS Region as the Lambda function. Package the Lambda function into a container image. Build the image and upload it to the Amazon ECR repository. Update the existing Lambda function configuration to specify the repository URI and container image tag.
  • B. Create an AWS CloudFormation template that defines the Lambda function and its resources as code. Include a container image in the template, and store the image in an Amazon S3 bucket. Deploy the CloudFormation template. Specify the S3 bucket URI.
  • C. Create an Amazon ECR repository in the same AWS Region as the Lambda function. Build the image and upload it to the Amazon ECR repository. Update the existing Lambda function to use the new image by specifying the repository URI.
  • D. Create an AWS SAM template that defines the Lambda function and its resources as code. Include a container image in the template, and store the container image in an Amazon S3 bucket. Deploy the AWS SAM template. Specify the S3 bucket URI.

Answer: A

Explanation:
Comprehensive Detailed Explanation with all AWS Reference
Why Option A is Correct:
Converting a Lambda function to use a container image involves packaging the function code into a container image, storing the image in Amazon Elastic Container Registry (ECR), and updating the function to use the ECR repository URI.
Why Other Options are Incorrect:
Option B: SAM templates support container-based Lambda deployment, but storing the image in S3 is not applicable.
Option C: CloudFormation does not natively support specifying Lambda container images in S3.
Option D: While partially correct, it omits the need to specify the image tag for the deployment.
AWS Documentation Reference:
Lambda Container Images


NEW QUESTION # 188
A developer is modifying an existing AWS Lambda function White checking the code the developer notices hardcoded parameter various for an Amazon RDS for SQL Server user name password database host and port. There also are hardcoded parameter values for an Amazon DynamoOB table. an Amazon S3 bucket, and an Amazon Simple Notification Service (Amazon SNS) topic.
The developer wants to securely store the parameter values outside the code m an encrypted format and wants to turn on rotation for the credentials. The developer also wants to be able to reuse the parameter values from other applications and to update the parameter values without modifying code.
Which solution will meet these requirements with the LEAST operational overhead?

  • A. Create RDS database parameters in AWS Systems Manager Parameter. Store for the user name password, database, host and port. Create encrypted Lambda environment variables for me DynamoDB table, S3 bucket, and SNS topic. Create a Lambda function and set the logic for the credentials rotation task Schedule the credentials rotation task in Amazon EventBridge.
  • B. Create RDS database parameters in AWS Systems Manager Parameter. Store for the user name password database, host, and port. Store the DynamoDB table. S3 bucket, and SNS topic in Amazon S3 Create a Lambda function and set the logic for the credentials rotation Invoke the Lambda function on a schedule.
  • C. Create an RDS database secret in AWS Secrets Manager. Set the user name password, database, host and port. Turn on secret rotation. Create Secure String parameters in AWS Systems Manager Parameter Store for the DynamoDB table, S3 bucket and SNS topic.
  • D. Create an RDS database secret in AWS Secrets Manager. Set the user name password, database, host and port. Turn on secret rotation. Create encrypted Lambda environment variables for the DynamoDB table, S3 bucket and SNS topic.

Answer: C

Explanation:
This solution will meet the requirements by using AWS Secrets Manager and AWS Systems Manager Parameter Store to securely store the parameter values outside the code in an encrypted format. AWS Secrets Manager is a service that helps protect secrets such as database credentials by encrypting them with AWS Key Management Service (AWS KMS) and enabling automatic rotation of secrets. The developer can create an RDS database secret in AWS Secrets Manager and set the user name, password, database, host, and port for accessing the RDS database. The developer can also turn on secret rotation, which will change the database credentials periodically according to a specified schedule or event. AWS Systems Manager Parameter Store is a service that provides secure and scalable storage for configuration data and secrets. The developer can create Secure String parameters in AWS Systems Manager Parameter Store for the DynamoDB table, S3 bucket, and SNS topic, which will encrypt them with AWS KMS. The developer can also reuse the parameter values from other applications and update them without modifying code. Option A is not optimal because it will create encrypted Lambda environment variables for the DynamoDB table, S3 bucket, and SNS topic, which may not be reusable or updatable without modifying code. Option C is not optimal because it will create RDS database parameters in AWS Systems Manager Parameter Store, which does not support automatic rotation of secrets. Option D is not optimal because it will store the DynamoDB table, S3 bucket, and SNS topic in Amazon S3, which may introduce additional costs and complexity for accessing configuration data.
References: AWS Secrets Manager, [AWS Systems Manager Parameter Store]


NEW QUESTION # 189
A developer is deploying an AWS Lambda function The developer wants the ability to return to older versions of the function quickly and seamlessly.
How can the developer achieve this goal with the LEAST operational overhead?

  • A. Use AWS OpsWorks to perform blue/green deployments.
  • B. Use AWS CodePipeline for deployments and rollbacks.
  • C. Use a function alias with different versions.
  • D. Maintain deployment packages for older versions in Amazon S3.

Answer: C

Explanation:
Explanation
A function alias is a pointer to a specific Lambda function version. You can use aliases to create different environments for your function, such as development, testing, and production. You can also use aliases to perform blue/green deployments by shifting traffic between two versions of your function gradually. This way, you can easily roll back to a previous version if something goes wrong, without having to redeploy your code or change your configuration. Reference: AWS Lambda function aliases


NEW QUESTION # 190
A developer is integrating Amazon ElastiCache in an application. The cache will store data from a database.
The cached data must populate real-time dashboards. Which caching strategy will meet these requirements?

  • A. A write-through cache
  • B. A write-behind cache
  • C. A read-through cache
  • D. A lazy-loading cache

Answer: A


NEW QUESTION # 191
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