A company has an application that runs as a series of AWS Lambda functions. Each Lambda function receives data from an Amazon Simple Notification Service (Amazon SNS) topic and writes the data to an Amazon Aurora DB instance.
To comply with an information security policy, the company must ensure that the Lambda functions all use a single securely encrypted database connection string to access Aurora.
Which solution will meet these requirements'?

• A.Use IAM database authentication for Aurora to enable secure database connections for ail the Lambda functions.
• B.Store the credentials and read the credentials from an encrypted Amazon RDS DB instance.
• C.Store the credentials in AWS Systems Manager Parameter Store as a secure string parameter.
• D.Use Lambda environment variables with a shared AWS Key Management Service (AWS KMS) key for encryption.

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A developer deployed an application to an Amazon EC2 instance The application needs to know the public IPv4 address of the instance How can the application find this information?

• A.Query the instance metadata from http./M69.254.169.254. latestmeta-data/.
• B.Query the instance user data from http '169 254.169 254. latest/user-data/
• C.Query the Amazon Machine Image (AMI) information from http://169.254.169.254/latest/meta-data/ami/.
• D.Check the hosts file of the operating system

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A company is working on a new serverless application. A developer needs to find an automated way to deploy AWS Lambda functions and the dependent Infrastructure with minimum coding effort. The application also needs to be reliable.
Which method will meet these requirements with the LEAST operational overhead?

• A.Build the application by using shell scripts to create .zip files for each Lambda function. Manually upload the .zip files to the AWS Management Console.
• B.Build the application by using the AWS Serverless Application Model (AWS SAM). Use a continuous integration and continuous delivery (CI/CD) pipeline and the SAM CLI to deploy the Lambda functions.
• C.Build a container for each Lambda function. Store the container images in AWS CodeArtifact. Deploy the containers as Lambda functions by using the AWS CLI in a continuous integration and continuous delivery (CI/CD) pipeline.
• D.Build the application by using shell scripts to create .zip files for each Lambda function. Upload the .zip files. Deploy the .zip files as Lambda functions by using the AWS CLI in a continuous integration and continuous delivery (CI/CD) pipeline.

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A developer is creating an AWS Lambda function that searches for items from an Amazon DynamoDB table that contains customer contact information- The DynamoDB table items have the customer's email_address as the partition key and additional properties such as customer_type, name, and job_tltle.
The Lambda function runs whenever a user types a new character into the customer_type text input The developer wants the search to return partial matches of all the email_address property of a particular customer_type The developer does not want to recreate the DynamoDB table.
What should the developer do to meet these requirements?

• A.Add a global secondary index (GSI) to the DynamoDB table with customer_type as the partition key and email_address as the sort key Perform a query operation on the GSI by using the begvns_wth key condition expression With the emad_address property
• B.Add a global secondary index (GSI) to the DynamoDB table With ernail_address as the partition key and customer_type as the sort key Perform a query operation on the GSI by using the begins_wtth key condition expression With the emal_address property.
• C.Add a local secondary index (LSI) to the DynamoDB table With customer_type as the partition key and email_address as the sort key Perform a query operation on the LSI by using the begins_wlth key condition expression With the email_address property
• D.Add a local secondary Index (LSI) to the DynamoDB table With job_tltle as the partition key and emad_address as the sort key Perform a query operation on the LSI by using the begins_wrth key condition expression With the email_address property

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A company stores customer credit reports in an Amazon S3 bucket. An analytics service uses standard Amazon S3 GET requests to access the reports. A developer must implement a solution to redact personally identifiable information (PII) from the reports before the reports reach the analytics service.

• A.Load the S3 objects into Amazon Redshift by using a COPY command. Implement dynamic data masking. Refactor the analytics service to read from Amazon Redshift.
• B.Set up an S3 Object Lambda function. Attach the function to an S3 Object Lambda Access Point. Program the function to call a PII redaction API.
• C.Use AWS Key Management Service (AWS KMS) to implement encryption in the S3 bucket. Re-upload all the existing S3 objects. Give the kms permission to the analytics service.
• D.Create an Amazon Simple Notification Service (Amazon SNS) topic. Implement message data protection. Refactor the analytics service to publish data access requests to the SNS topic.

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