Q: 17
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?
Options
Discussion
C
D tbh
Option D
Ugh, AWS wording here is classic. It's C for this type of exam scenario.
Maybe D but if "manage the flow" means actual storage movement or archival, not traffic routing, D could be valid.
Using a VPC with an S3 endpoint (C) isolates traffic between SageMaker Studio and S3 on the AWS private network, so the data's not going out to the public internet. That’s basically how you control and secure data flow in this setup. Macie/Inspector don’t handle connectivity and Glacier Deep Archive is just about cost or retention. I’m pretty sure C fits what they're asking, but open to other takes if I'm missing something.
Its D for me. If the concern is to manage lifecycle or minimize costs for old data, S3 Glacier Deep Archive could fit. Not 100 percent on this since flow could sometimes mean storage strategy.
Not D here, it’s gotta be C. Setting up a VPC endpoint for S3 lets you control and secure the data flow straight from SageMaker to S3, which is what the question asks for. D looks tempting, but that’s just storage tiering, not flow management. Agree?
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