Sagemaker

Question 1

What is SageMaker?

Answer 1

It is a fully managed service to build ML models.

Question 2

What are the main functions of SageMaker?

Answer 2

Collect and prepare Data

Build and train ML models

Deploy and monitor the performance

Question 3

What is Automatic Model Tuning?

Answer 3

It automatically chooses your hyperparameters for better performance. Saves time and money.

Question 4

Can you deploy your model from SageMaker?

Answer 4

Yes. It is a one-click deployment.

Question 5

What deployment options are available for SageMaker?

Answer 5

Real-time - Fast

Serverless (only select memory). Can suffer from cold start. Sporadic short term use.

Asynchronous - Near real-tiime

Batch Transform - Bulk processing for large datasets

Question 6

What is SageMaker Studio?

Answer 6

It is an end-to-end ML development interface that supports

team collaboration
tuning
deployment

Question 7

What is SageMaker Data Wrangler?

Answer 7

A tool for preparing, transforming, and feature engineering of tabular and image data for machine learning.

Question 8

Can you visualize your data in Data Wrangler?

Answer 8

Yes. you can explore and cleanse it too.

Question 9

Does Data Wrangler support SQL?

Answer 9

Yes

Question 10

What is the SageMaker feature store?

Answer 10

It ingests features from a variety of sources

Question 11

What is SageMaker Clarify?

Answer 11

It evaluates foundation models.

Question 12

Can SageMaker Clarify evaluate human factors such as humor?

Answer 12

Yes

Question 13

Does Sagemaker Clarify show model explainability?

Answer 13

Yes.

Question 14

Can SageMaker Clarify detect and explain biases in your datasets and models?

Answer 14

Yes

Question 15

What is SageMaker Ground Truth?

Answer 15

It is reinforcement learning from human feedback. Aligns model to human preferences.

Question 16

What does SageMaker Ground Truth Plus do?

Answer 16

Label Data

Question 17

What are SageMaker model cards?

Answer 17

Includes all the model information like intended uses, risk ratings, and training details.

Question 18

What is the SageMaker role manager?

Answer 18

Allows you to define roles for those responsible for contributing to the project.

Question 19

What is SageMaker Model Monitor?

Answer 19

It monitors the quality of your model in production.

Question 20

Can model drift be detected in SageMaker?

Answer 20

Yes. Using Model Monitor

Question 21

Does SageMaker have Model version control?

Answer 21

Yes. Using Model Registry

Question 22

How would you create an approval process for your model in SageMaker?

Answer 22

Using Model Registry

Question 23

What are SageMaker Pipelines?

Answer 23

They are workflows that automate the process of building, training, and deploying an ML model. CI/CD for