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Free SAP-C01 Exam Braindumps (page: 5)

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PDF with 528 Questions

A company has a web application that allows users to upload short videos. The videos are stored on Amazon EBS volumes and analyzed by custom recognition software for categorization.

The website contains static content that has variable traffic with peaks in certain months. The architecture consists of Amazon EC2 instances running in an Auto Scaling group for the web application and EC2 instances running in an Auto Scaling group to process an Amazon SQS queue. The company wants to re-architect the application to reduce operational overhead using AWS managed services where possible and remove dependencies on third-party software.

Which solution meets these requirements?

  1. Use Amazon ECS containers for the web application and Spot instances for the Auto Scaling group that processes the SQS queue. Replace the custom software with Amazon Rekognition to categorize the videos.
  2. Store the uploaded videos in Amazon EFS and mount the file system to the EC2 instances for the web application. Process the SQS queue with an AWS Lambda function that calls the Amazon Rekognition API to categorize the videos.
  3. Host the web application in Amazon S3. Store the uploaded videos in Amazon S3. Use S3 event notification to publish events to the SQS queue. Process the SQS queue with an AWS Lambda function that calls the Amazon Rekognition API to categorize the videos.
  4. Use AWS Elastic Beanstalk to launch EC2 instances in an Auto Scaling group for the web application and launch a worker environment to process the SQS queue. Replace the custom software with Amazon Rekognition to categorize the videos.

Answer(s): C

Explanation:

C. Host the web application in Amazon S3. Store the uploaded videos in Amazon S3. Use S3 event notification to publish events to the SQS queue. Process the SQS queue with an AWS Lambda function that calls the Amazon Rekognition API to categorize the videos is the correct solution because it reduces operational overhead by leveraging AWS managed services. Hosting the static web content in Amazon S3 removes the need for EC2 instances for the web app, and storing uploaded videos in S3 simplifies the storage solution. Using S3 event notifications to trigger an SQS queue ensures the videos are processed efficiently, and AWS Lambda coupled with Amazon Rekognition provides a scalable, managed solution for video analysis, replacing the custom recognition software.



A company has a serverless application comprised of Amazon CloudFront, Amazon API Gateway, and AWS Lambda functions. The current deployment process of the application code is to create a new version number of the Lambda function and run an AWS CLI script to update. If the new function version has errors, another CLI script reverts by deploying the previous working version of the function. The company would like to decrease the time to deploy new versions of the application logic provided by the Lambda functions, and also reduce the time to detect and revert when errors are identified.

How can this be accomplished?

  1. Create and deploy nested AWS CloudFormation stacks with the parent stack consisting of the AWS CloudFront distribution and API Gateway, and the child stack containing the Lambda function. For changes to Lambda, create an AWS CloudFormation change set and deploy; if errors are triggered, revert the AWS CloudFormation change set to the previous version.
  2. Use AWS SAM and built-in AWS CodeDeploy to deploy the new Lambda version, gradually shift traffic to the new version, and use pre-traffic and post-traffic test functions to verify code. Rollback if Amazon CloudWatch alarms are triggered.
  3. Refactor the AWS CLI scripts into a single script that deploys the new Lambda version. When deployment is completed, the script tests execute. If errors are detected, revert to the previous Lambda version.
  4. Create and deploy an AWS CloudFormation stack that consists of a new API Gateway endpoint that references the new Lambda version. Change the CloudFront origin to the new API Gateway endpoint, monitor errors and if detected, change the AWS CloudFront origin to the previous API Gateway endpoint.

Answer(s): B

Explanation:

B) Use AWS SAM and built-in AWS CodeDeploy to deploy the new Lambda version, gradually shift traffic to the new version, and use pre-traffic and post-traffic test functions to verify code. Rollback if Amazon CloudWatch alarms are triggered is the correct solution because AWS SAM (Serverless Application Model) integrates seamlessly with AWS CodeDeploy to allow safe, automated deployments of Lambda functions. The gradual traffic shifting feature minimizes the risk of deployment failures by slowly routing traffic to the new version while monitoring for errors. If an issue arises, automatic rollback can occur based on CloudWatch alarms, reducing deployment time and ensuring minimal disruption. This approach also provides better control over traffic and error detection.



A company is planning to store a large number of archived documents and make the documents available to employees through the corporate intranet. Employees will access the system by connecting through a client VPN service that is attached to a VPC. The data must not be accessible to the public.

The documents that the company is storing are copies of data that is held on physical media elsewhere. The number of requests will be low. Availability and speed of retrieval are not concerns of the company.

Which solution will meet these requirements at the LOWEST cost?

  1. Create an Amazon S3 bucket. Configure the S3 bucket to use the S3 One Zone-Infrequent Access (S3 One Zone-IA) storage class as default. Configure the S3 bucket for website hosting. Create an S3 interface endpoint. Configure the S3 bucket to allow access only through that endpoint.
  2. Launch an Amazon EC2 instance that runs a web server. Attach an Amazon Elastic File System (Amazon EFS) file system to store the archived data in the EFS One Zone-Infrequent Access (EFS One Zone-IA) storage class Configure the instance security groups to allow access only from private networks.
  3. Launch an Amazon EC2 instance that runs a web server Attach an Amazon Elastic Block Store (Amazon EBS) volume to store the archived data. Use the Cold HDD (sc1) volume type. Configure the instance security groups to allow access only from private networks.
  4. Create an Amazon S3 bucket. Configure the S3 bucket to use the S3 Glacier Deep Archive storage class as default. Configure the S3 bucket for website hosting. Create an S3 interface endpoint. Configure the S3 bucket to allow access only through that endpoint.

Answer(s): A

Explanation:

A) Create an Amazon S3 bucket. Configure the S3 bucket to use the S3 One Zone-Infrequent Access (S3 One Zone-IA) storage class as default. Configure the S3 bucket for website hosting. Create an S3 interface endpoint. Configure the S3 bucket to allow access only through that endpoint is the correct answer because it offers the lowest cost option for infrequently accessed data while ensuring security and accessibility within the corporate network.

Using S3 One Zone-IA significantly reduces the cost by storing data in a single Availability Zone, which is ideal since availability and redundancy are not a concern. An S3 interface endpoint allows access to the data securely without exposing it to the public internet, adhering to the security requirement. Website hosting on S3 is not strictly necessary for this use case but could provide a simple interface for document access, adding convenience for employees.

This approach balances cost-efficiency with security, making it the best choice given the company's requirements.



A company is using an on-premises Active Directory service for user authentication. The company wants to use the same authentication service to sign in to the company’s AWS accounts, which are using AWS Organizations. AWS Site-to-Site VPN connectivity already exists between the on-premises environment and all the company’s AWS accounts.

The company’s security policy requires conditional access to the accounts based on user groups and roles. User identities must be managed in a single location.

Which solution will meet these requirements?

  1. Configure AWS IAM Identity Center (AWS Single Sign-On) to connect to Active Directory by using SAML 2.0. Enable automatic provisioning by using the System for Cross-domain Identity Management (SCIM) v2.0 protocol. Grant access to the AWS accounts by using attribute-based access controls (ABACs).
  2. Configure AWS IAM Identity Center (AWS Single Sign-On) by using IAM Identity Center as an identity source. Enable automatic provisioning by using the System for Cross-domain Identity Management (SCIM) v2.0 protocol. Grant access to the AWS accounts by using IAM Identity Center permission sets.
  3. In one of the company’s AWS accounts, configure AWS Identity and Access Management (IAM) to use a SAML 2.0 identity provider. Provision IAM users that are mapped to the federated users. Grant access that corresponds to appropriate groups in Active Directory. Grant access to the required AWS accounts by using cross-account IAM users.
  4. In one of the company’s AWS accounts, configure AWS Identity and Access Management (IAM) to use an OpenID Connect (OIDC) identity provider. Provision IAM roles that grant access to the AWS account for the federated users that correspond to appropriate groups in Active Directory. Grant access to the required AWS accounts by using cross-account IAM roles.

Answer(s): A

Explanation:

A) Configure AWS IAM Identity Center (AWS Single Sign-On) to connect to Active Directory by using SAML 2.0. Enable automatic provisioning by using the System for Cross-domain Identity Management (SCIM) v2.0 protocol. Grant access to the AWS accounts by using attribute-based access controls (ABACs) is the correct solution because it allows seamless integration with the on-premises Active Directory for user authentication. AWS IAM Identity Center (AWS SSO) can connect with the Active Directory through SAML 2.0, which supports the single sign-on functionality. SCIM 2.0 ensures automatic provisioning of users and groups, and ABAC allows for conditional access based on user attributes, aligning with the company’s security policy requirements.



Page 5 of 134



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