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Sagemaker

Authored by Malena Lindberg

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Professional Development

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Sagemaker
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8 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is AWS Sagemaker?

Generative AI platform

Image and video analysis service

Cloud machine learning platform

Intelligent search service

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is NOT a feature of Sagemaker?

Studio

Query engine

Model Registry

Experiments

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which type of inference would be best if you have low latency requirement?

Real-time inference

Serverless inference

Asynchronous inference

Batch transform

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which environment should you use if you want to have a lot of own code and want to have control of the training process?

Studio

Canvas

Autopilot

Jumpstart

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the benefit of using a shadow model?

Overcome overfitting

Optimize GPU use

Validate a new model before deploying to production

Fine tune your model

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Where can you track the versions of your deployed model?

Model registry

Experiments

Endpoints

Hyperparameter tuning jobs

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which feature allows you to automate end-to-end ML workflows?

Data Wrangler

Debugger

Projects

Pipelines

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