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Exam AWS Certified AI Practitioner AIF-C01 All Questions

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Exam AWS Certified AI Practitioner AIF-C01 topic 1 question 84 discussion

A company is using Amazon SageMaker Studio notebooks to build and train ML models. The company stores the data in an Amazon S3 bucket. The company needs to manage the flow of data from Amazon S3 to SageMaker Studio notebooks.
Which solution will meet this requirement?

  • A. Use Amazon Inspector to monitor SageMaker Studio.
  • B. Use Amazon Macie to monitor SageMaker Studio.
  • C. Configure SageMaker to use a VPC with an S3 endpoint.
  • D. Configure SageMaker to use S3 Glacier Deep Archive.
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Suggested Answer: C 🗳️

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Jessiii
2 weeks, 6 days ago
Selected Answer: C
To manage the flow of data from Amazon S3 to SageMaker Studio notebooks securely and efficiently, configuring SageMaker to use a VPC (Virtual Private Cloud) with an S3 endpoint is the best solution. This setup ensures that data transfer between SageMaker and S3 happens within the AWS network, without going through the public internet, which improves security and performance. S3 VPC endpoint: An S3 VPC endpoint allows secure, private access to Amazon S3 from resources in your VPC, enabling SageMaker to securely retrieve data stored in S3 buckets without leaving the AWS network. This setup helps manage data flow efficiently.
upvoted 1 times
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chris_spencer
3 weeks ago
Selected Answer: C
S3 gateway endpoint should be a default in every VPC.
upvoted 1 times
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85b5b55
1 month ago
Selected Answer: C
Deploy and run the Amazon SageMaker Studio on VPC and Connect to S3 using S3 Gateway endpoint.
upvoted 2 times
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Amitst
2 months, 4 weeks ago
Selected Answer: C
C. Configure SageMaker to use a VPC with an S3 endpoint.
upvoted 1 times
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