100% PASS-RATE SAP-C02 TOP EXAM DUMPS & USEFUL SAP-C02 TEST VCE & CORRECT CLEAR SAP-C02 EXAM

100% Pass-Rate SAP-C02 Top Exam Dumps & Useful SAP-C02 Test Vce & Correct Clear SAP-C02 Exam

100% Pass-Rate SAP-C02 Top Exam Dumps & Useful SAP-C02 Test Vce & Correct Clear SAP-C02 Exam

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Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q191-Q196):

NEW QUESTION # 191
A Solutions Architect is constructing a containerized.NET Core application for AWS Fargate. The application's backend needs a high-availability version of Microsoft SQL Server. All application levels must be extremely accessible. The credentials associated with the SQL Server connection string should not be saved to disk inside the.NET Core front-end containers.
Which tactics should the Solutions Architect use to achieve these objectives?

  • A. Set up SQL Server to run in Fargate with Service Auto Scaling. Create an Amazon ECS task execution role that allows the Fargate task definition to get the secret value for the credentials to SQL Server running in Fargate. Specify the ARN of the secret in AWS Secrets Manager in the secrets section of the Fargate task definition so the sensitive data can be injected into the containers as environment variables on startup for reading into the application to construct the connection string. Set up the .NET Core service using Service Auto Scaling behind an Application Load Balancer in multiple Availability Zones.
  • B. Create a Multi-AZ deployment of SQL Server on Amazon RDS. Create a secret in AWS Secrets Manager for the credentials to the RDS database. Create an Amazon ECS task execution role that allows the Fargate task definition to get the secret value for the credentials to the RDS database in Secrets Manager. Specify the ARN of the secret in Secrets Manager in the secrets section of the Fargate task definition so the sensitive data can be injected into the containers as environment variables on startup for reading into the application to construct the connection string. Set up the .NET Core service in Fargate using Service Auto Scaling behind an Application Load Balancer in multiple Availability Zones.
  • C. Create an Auto Scaling group to run SQL Server on Amazon EC2. Create a secret in AWS Secrets Manager for the credentials to SQL Server running on EC2. Create an Amazon ECS task execution role that allows the Fargate task definition to get the secret value for the credentials to SQL Server on EC2. Specify the ARN of the secret in Secrets Manager in the secrets section of the Fargate task definition so the sensitive data can be injected into the containers as environment variables on startup for reading into the application to construct the connection string. Set up the .NET Core service using Service Auto Scaling behind an Application Load Balancer in multiple Availability Zones.
  • D. Create a Multi-AZ deployment of SQL Server on Amazon RDS. Create a secret in AWS Secrets Manager for the credentials to the RDS database. Create non- persistent empty storage for the .NET Core containers in the Fargate task definition to store the sensitive information. Create an Amazon ECS task execution role that allows the Fargate task definition to get the secret value for the credentials to the RDS database in Secrets Manager. Specify the ARN of the secret in Secrets Manager in the secrets section of the Fargate task definition so the sensitive data can be written to the non-persistent empty storage on startup for reading into the application to construct the connection string. Set up the .NET Core service using Service Auto Scaling behind an Application Load Balancer in multiple Availability Zones.

Answer: B

Explanation:
Secrets Manager natively supports SQL Server on RDS. No real need to create additional 'ephemeral storage' to fetch credentials, as these can be injected to containers as environment variables. https://aws.amazon.com/premiumsupport/knowledge-center/ecs-data-security-container-task/


NEW QUESTION # 192
A company is implementing a serverless architecture by using AWS Lambda functions that need to access a Microsoft SQL Server DB instance on Amazon RDS. The company has separate environments for development and production, including a clone of the database system.
The company's developers are allowed to access the credentials for the development database. However, the credentials for the production database must be encrypted with a key that only members of the IT security team's IAM user group can access. This key must be rotated on a regular basis.
What should a solutions architect do in the production environment to meet these requirements?

  • A. Store the database credentials in the environment variables of each Lambda function. Encrypt the environment variables by using an AWS Key Management Service (AWS KMS) customer managed key. Restrict access to the customer managed key so that only the IT security team can access the key.
  • B. Store the database credentials in AWS Systems Manager Parameter Store by using a SecureString parameter that is encrypted by an AWS Key Management Service (AWS KMS) customer managed key.
    Attach a role to each Lambda function to provide access to the SecureString parameter. Restrict access to the Securestring parameter and the customer managed key so that only the IT security team can access the parameter and the key.
  • C. Store the database credentials in AWS Secrets Manager as a secret that is associated with an AWS Key Management Service (AWS KMS) customer managed key. Attach a role to each Lambda function to provide access to the secret. Restrict access to the secret and the customer managed key so that only the IT security team can access the secret and the key.
  • D. Encrypt the database credentials by using the AWS Key Management Service (AWS KMS) default Lambda key. Store the credentials in the environment variables of each Lambda function. Load the credentials from the environment variables in the Lambda code. Restrict access to the KMS key o that only the IT security team can access the key.

Answer: C

Explanation:
Explanation
Storing the database credentials in AWS Secrets Manager as a secret that is associated with an AWS Key Management Service (AWS KMS) customer managed key will enable encrypting and managing the credentials securely1. AWS Secrets Manager helps you to securely encrypt, store, and retrieve credentials for your databases and other services2. Attaching a role to each Lambda function to provide access to the secret will enable retrieving the credentials programmatically1. Restricting access to the secret and the customer managed key so that only members of the IT security team's IAM user group can access them will enable meeting the security requirements1.


NEW QUESTION # 193
A company wants to migrate virtual Microsoft workloads from an on-premises data center to AWS The company has successfully tested a few sample workloads on AWS. The company also has created an AWS Site-to-Site VPN connection to a VPC A solutions architect needs to generate a total cost of ownership (TCO) report for the migration of all the workloads from the data center Simple Network Management Protocol (SNMP) has been enabled on each VM in the data center The company cannot add more VMs m the data center and cannot install additional software on the VMs The discovery data must be automatically imported into AWS Migration Hub Which solution will meet these requirements?

  • A. Launch a Windows Amazon EC2 instance Install the Migration Evaluator agentless collector on the EC2 instance Configure Migration Evaluator to generate the TCO report
  • B. Use the AWS Migration Readiness Assessment tool inside the VPC Configure Migration Evaluator to generate the TCO report
  • C. Use the AWS Application Migration Service agentless service and the AWS Migration Hub Strategy Recommendations to generate the TCO report
  • D. Launch a Windows Amazon EC2 instance. Install the Migration Evaluator agentless collector on the EC2 instance. Configure Migration Hub to generate the TCO report

Answer: C

Explanation:
AWS Application Migration Service:
AWS Application Migration Service (MGN) facilitates the migration of virtual machines (VMs) to AWS without installing additional software on the VMs. This agentless service helps in seamlessly migrating workloads to AWS.
AWS Migration Hub Strategy Recommendations:
AWS Migration Hub Strategy Recommendations offer insights and guidance for planning and implementing migration strategies. It helps in generating a Total Cost of Ownership (TCO) report by automatically importing discovery data from the VMs.
Generating the TCO Report:
The combined use of AWS Application Migration Service and Migration Hub Strategy Recommendations enables the automatic import of discovery data and the generation of an accurate TCO report, ensuring a smooth and cost-effective migration process.
Reference
AWS Migration Hub Strategy Recommendations (AWS Documentation).


NEW QUESTION # 194
An external audit of a company's serverless application reveals IAM policies that grant too many permissions.
These policies are attached to the company's AWS Lambda execution roles. Hundreds of the company's Lambda functions have broad access permissions, such as full access to Amazon S3 buckets and Amazon DynamoDB tables. The company wants each function to have only the minimum permissions that the function needs to complete its task.
A solutions architect must determine which permissions each Lambda function needs.
What should the solutions architect do to meet this requirement with the LEAST amount of effort?

  • A. Turn on AWS CloudTrail logging for the AWS account. Create a script to parse the CloudTrail log, search for AWS API calls by Lambda execution role, and create a summary report. Review the report.
    Create IAM access policies that provide more restrictive permissions for each Lambda function.
  • B. Set up Amazon CodeGuru to profile the Lambda functions and search for AWS API calls. Create an inventory of the required API calls and resources for each Lambda function. Create new IAM access policies for each Lambda function. Review the new policies to ensure that they meet the company's business requirements.
  • C. Turn on AWS CloudTrail logging for the AWS account. Use AWS Identity and Access Management Access Analyzer to generate IAM access policies based on the activity recorded in the CloudTrail log.
    Review the generated policies to ensure that they meet the company's business requirements.
  • D. Turn on AWS CloudTrail logging for the AWS account. Export the CloudTrail logs to Amazon S3. Use Amazon EMR to process the CloudTrail logs in Amazon S3 and produce a report of API calls and resources used by each execution role. Create a new IAM access policy for each role. Export the generated roles to an S3 bucket. Review the generated policies to ensure that they meet the company's business requirements.

Answer: C

Explanation:
IAM Access Analyzer helps you identify the resources in your organization and accounts, such as Amazon S3 buckets or IAM roles, shared with an external entity. This lets you identify unintended access to your resources and data, which is a security risk. IAM Access Analyzer identifies resources shared with external principals by using logic-based reasoning to analyze the resource-based policies in your AWS environment.
https://docs.aws.amazon.com/IAM/latest/UserGuide/what-is-access-analyzer.html


NEW QUESTION # 195
A company is building a software-as-a-service (SaaS) solution on AWS. The company has deployed an Amazon API Gateway REST API with AWS Lambda integration in multiple AWS Regions and in the same production account.
The company offers tiered pricing that gives customers the ability to pay for the capacity to make a certain number of API calls per second. The premium tier offers up to 3,000 calls per second, and customers are identified by a unique API key. Several premium tier customers in various Regions report that they receive error responses of 429 Too Many Requests from multiple API methods during peak usage hours. Logs indicate that the Lambda function is never invoked.
What could be the cause of the error messages for these customers?

  • A. The Lambda function its Region limit for concurrency.
  • B. The Lambda function reached its concurrency limit.
  • C. The company reached its API Gateway account limit for calls per second.
  • D. The company reached its API Gateway default per-method limit for calls per second.

Answer: C

Explanation:
Explanation
https://docs.aws.amazon.com/apigateway/latest/developerguide/api-gateway-request-throttling.html#apig-reques


NEW QUESTION # 196
......

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