AMAZON SAP-C02 LATEST MOCK TEST - RELIABLE SAP-C02 DUMPS SHEET

Amazon SAP-C02 Latest Mock Test - Reliable SAP-C02 Dumps Sheet

Amazon SAP-C02 Latest Mock Test - Reliable SAP-C02 Dumps Sheet

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Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q26-Q31):

NEW QUESTION # 26
A company has developed APIs that use Amazon API Gateway with Regional endpoints. The APIs call AWS Lambda functions that use API Gateway authentication mechanisms. After a design review, a solutions architect identifies a set of APIs that do not require public access.
The solutions architect must design a solution to make the set of APIs accessible only from a VPC. All APIs need to be called with an authenticated user.
Which solution will meet these requirements with the LEAST amount of effort?

  • A. Deploy the Lambda functions inside the VPC. Provision an EC2 instance, and install an Apache server.From the Apache server, call the Lambda functions. Use the internal CNAME record of the EC2 instance to call the API from the VPC.
  • B. Create an internal Application Load Balancer (ALB). Create a target group. Select the Lambda function to call. Use the ALB DNS name to call the API from the VPC.
  • C. Update the API endpoint from Regional to private in API Gateway. Create an interface VPC endpoint in the VPC. Create a resource policy, and attach it to the API. Use the VPC endpoint to call the API from the VPC.
  • D. Remove the DNS entry that is associated with the API in API Gateway. Create a hosted zone in Amazon Route 53. Create a CNAME record in the hosted zone. Update the API in API Gateway with the CNAME record. Use the CNAME record to call the API from the VPC.

Answer: C

Explanation:
This solution requires the least amount of effort as it only requires to update the API endpoint to private in API Gateway and create an interface VPC endpoint. Then create a resource policy and attach it to the API.
This will make the API only accessible from the VPC and still keep the authentication mechanism intact.
Reference:
* https://aws.amazon.com/premiumsupport/knowledge-center/private-api-gateway-vpc-endpoint/
* https://aws.amazon.com/api-gateway/features/


NEW QUESTION # 27
A company runs its application on Amazon EC2 instances and AWS Lambda functions. The EC2 instances experience a continuous and stable load. The Lambda functions experience a varied and unpredictable load. The application includes a caching layer that uses an Amazon MemoryDB for Redis cluster.
A solutions architect must recommend a solution to minimize the company's overall monthly costs.
Which solution will meet these requirements?

  • A. Purchase a Compute Savings Plan to cover the EC2 instances. Purchase Lambda reserved concurrency to cover the expected Lambda usage. Purchase reserved nodes to cover the MemoryDB cache nodes.
  • B. Purchase an EC2 Instance Savings Plan to cover the EC2 instances. Purchase a Compute Savings Plan for Lambda to cover the minimum expected consumption of the Lambda functions. Purchase reserved nodes to cover the MemoryDB cache nodes.
  • C. Purchase a Compute Savings Plan to cover the EC2 instances and the MemoryDB cache nodes.Purchase Lambda reserved concurrency to cover the expected Lambda usage.
  • D. Purchase a Compute Savings Plan to cover the entire expected cost of the EC2 instances, Lambda functions, and MemoryDB cache nodes.

Answer: B

Explanation:
This option uses different types of savings plans and reserved nodes to minimize the company's overall monthly costs for running its application on EC2 instances, Lambda functions, and MemoryDB cache nodes.
Savings plans are flexible pricing models that offer significant savings on AWS usage (up to 72%) in exchange for a commitment of a consistent amount of usage (measured in $/hour) for a one-year or three-year term. There are two types of savings plans: Compute Savings Plans and EC2 Instance Savings Plans.
Compute Savings Plans apply to any compute usage across EC2 instances, Fargate containers, Lambda functions, SageMaker notebooks, and ECS tasks. EC2 Instance Savings Plans apply to a specific instance family within a region and provide more savings than Compute Savings Plans (up to 66% versus up to 54%).
Reserved nodes are similar to savings plans but apply only to MemoryDB cache nodes. They offer up to 55% savings compared to on-demand pricing.


NEW QUESTION # 28
A company uses an organization in AWS Organizations to manage the company's AWS accounts. The company uses AWS CloudFormation to deploy all infrastructure. A finance team wants to buikJ a chargeback model The finance team asked each business unit to tag resources by using a predefined list of project values.
When the finance team used the AWS Cost and Usage Report in AWS Cost Explorer and filtered based on project, the team noticed noncompliant project values. The company wants to enforce the use of project tags for new resources.
Which solution will meet these requirements with the LEAST effort?

  • A. Create a tag policy that contains the allowed project tag values in the AWS management account. Create an 1AM policy that denies the cloudformation:CreateStack API operation unless a project tag is added.
    Assign the policy to each user.
  • B. Create a tag policy that contains the allowed project tag values in the organization's management account. Create an SCP that denies the cloudformation:CreateStack API operation unless a project tag is added. Attach the SCP to each OU.
  • C. Use AWS Service Catalog to manage the CloudFoanation stacks as products. Use a TagOptions library to control project tag values. Share the portfolio with all OUs that are in the organization.
  • D. Create a tag policy that contains the allowed project tag values in each OU. Create an SCP that denies the cloudformation:CreateStack API operation unless a project tag is added. Attach the SCP to each OU.

Answer: B

Explanation:
The best solution is to create a tag policy that contains the allowed project tag values in the organization's management account and create an SCP that denies the cloudformation:CreateStack API operation unless a project tag is added. A tag policy is a type of policy that can help standardize tags across resources in the organization's accounts. A tag policy can specify the allowed tag keys, values, and case treatment for compliance. A service control policy (SCP) is a type of policy that can restrict the actions that users and roles can perform in the organization's accounts. An SCP can deny access to specific API operations unless certain conditions are met, such as having a specific tag. By creating a tag policy in the management account and attaching it to each OU, the organization can enforce consistent tagging across all accounts. By creating an SCP that denies the cloudformation:CreateStack API operation unless a project tag is added, the organization can prevent users from creating new resources without proper tagging. This solution will meet the requirements with the least effort, as it does not involve creating additional resources or modifying existing ones. References: Tag policies - AWS Organizations, Service control policies - AWS Organizations, AWS CloudFormation User Guide


NEW QUESTION # 29
A company is running applications on AWS in a multi-account environment. The company's sales team and marketing team use separate AWS accounts in AWS Organizations.
The sales team stores petabytes of data in an Amazon S3 bucket. The marketing team uses Amazon QuickSight for data visualizations. The marketing team needs access to data that the sates team stores in the S3 bucket. The company has encrypted the S3 bucket with an AWS Key Management Service (AWS KMS) key. The marketing team has already created the IAM service role for QuickSight to provide QuickSight access in the marketing AWS account. The company needs a solution that will provide secure access to the data in the S3 bucket across AWS accounts.
Which solution will meet these requirements with the LEAST operational overhead?

  • A. Create an SCP to grant access to the S3 bucket to the marketing account. Use AWS Resource Access Manager (AWS RAM) to share the KMS key from the sates account with the marketing account. Update the QuickSight permissions in the marketing account to grant access to the S3 bucket.
  • B. Create a new S3 bucket in the marketing account. Create an S3 replication rule in the sales account to copy the objects to the new S3 bucket in the marketing account. Update the QuickSight permissions in the marketing account to grant access to the new S3 bucket.
  • C. Update the S3 bucket policy in the marketing account to grant access to the QuickSight role. Create a KMS grant for the encryption key that is used in the S3 bucket. Grant decrypt access to the QuickSight role. Update the QuickSight permissions in the marketing account to grant access to the S3 bucket.
  • D. Create an 1AM role in the sales account and grant access to the S3 bucket. From the marketing account, assume the 1AM role in the sales account to access the S3 bucket. Update the QuickSight rote, to create a trust relationship with the new 1AM role in the sales account.

Answer: D


NEW QUESTION # 30
A company has implemented an ordering system using an event driven architecture. During initial testing, the system stopped processing orders. Further log analysis revealed that one order message in an Amazon Simple Queue Service (Amazon SQS) standard queue was causing an error on the backend and blocking all subsequent order messages. The visibility timeout of the queue is set to 30 seconds, and the backend processing timeout is set to 10 seconds. A solutions architect needs to analyze faulty order messages and ensure that the system continues to process subsequent messages.
Which step should the solutions architect take to meet these requirements?

  • A. Configure a new SOS FIFO queue as a dead-letter queue to isolate the faulty messages
  • B. Configure a new SOS standard queue as a dead-letter queue to isolate the faulty messages.
  • C. Increase the backend processing timeout to 30 seconds to match the visibility timeout
  • D. Reduce the visibility timeout of the queue to automatically remove the faulty message

Answer: B

Explanation:
Explanation
Configuring a new SQS standard queue as a dead-letter queue to isolate the faulty messages will allow the system to continue processing subsequent messages1. A dead-letter queue is a queue that receives messages that can't be processed successfully by the source queue2. A standard queue supports multiple consumers and allows out-of-order processing of messages1. This is suitable for an event-driven architecture where order is not important.


NEW QUESTION # 31
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