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Amazon Exam MLS-C01 Topic 6 Question 77 Discussion

Actual exam question for Amazon's MLS-C01 exam
Question #: 77
Topic #: 6
[All MLS-C01 Questions]

A data scientist is using an Amazon SageMaker notebook instance and needs to securely access data stored in a specific Amazon S3 bucket.

How should the data scientist accomplish this?

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Suggested Answer: C

by Blondell at Jul 24, 2023, 02:06 PM

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Melina
24 days ago
Okay, so basically, we need to give the notebook instance the permissions it needs to access the S3 bucket. Simple as that!
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Pa
25 days ago
Using the AWS CLI on the instance with an access key? That's a big no-no! Never store credentials directly on the instance.
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Alpha
8 days ago
A) Add an S3 bucket policy allowing GetObject, PutObject, and ListBucket permissions to the Amazon SageMaker notebook ARN as principal.
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Nadine
1 months ago
Hmm, I'm not sure about using a custom KMS key. That seems like overkill for a simple S3 access scenario.
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Jolanda
16 days ago
A) Add an S3 bucket policy allowing GetObject, PutObject, and ListBucket permissions to the Amazon SageMaker notebook ARN as principal.
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Margart
2 months ago
Option C is the way to go! Attaching the right IAM role to the notebook is the secure and recommended approach.
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Heidy
27 days ago
User 2: Yeah, attaching the right IAM role is the way to securely access the data.
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Julio
30 days ago
User 1: I think option C is the best choice.
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Yoko
2 months ago
I agree with Tawna, attaching the policy to the IAM role seems like the best option.
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Dominga
2 months ago
I disagree, I believe encrypting the objects with a custom AWS KMS key is the way to go.
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Tawna
2 months ago
I think the data scientist should add an S3 bucket policy to the notebook ARN.
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