Amazon SageMaker

Question 1

A business analyst with no coding experience needs to create a machine learning model to predict customer churn using data in CSV files. Which SageMaker capability is most suitable?

Accepted Answer

Amazon SageMaker Canvas

Answer

Amazon SageMaker Pipelines

Answer

Amazon SageMaker Studio Lab

Answer

Amazon SageMaker JumpStart

Question 2

A company wants to deploy an image classification model that will have unpredictable and intermittent traffic (with long periods of inactivity). They want to pay only when the model processes requests. Which deployment option should they choose?

Accepted Answer

SageMaker Serverless Inference

Answer

SageMaker Real-time Inference

Answer

SageMaker Asynchronous Inference

Answer

SageMaker Batch Transform

Question 3

A data scientist needs to detect if their training dataset contains imbalances that could lead to bias against a specific demographic group before training the model. Which SageMaker tool should they use?

Accepted Answer

SageMaker Clarify

Answer

SageMaker Edge Manager

Answer

SageMaker Model Monitor

Answer

SageMaker Debugger

Question 4

Which Amazon SageMaker feature helps catalog, version, and manage the approval lifecycle of ML models to move them from development to production?

Accepted Answer

SageMaker Model Registry

Answer

SageMaker Data Wrangler

Answer

SageMaker Ground Truth

Answer

SageMaker Feature Store

Question 5

A company wants to access open-source foundation models (FMs) like Llama and Mistral, as well as proprietary models, to fine-tune them with their own data in a fully managed environment within SageMaker. Which feature facilitates this?

Accepted Answer

SageMaker JumpStart

Answer

Amazon Q Developer

Answer

Amazon Bedrock Knowledge Bases

Answer

SageMaker Autopilot

Question 6

Which SageMaker tool allows preparing data for ML using a simplified visual interface, automatically generating the transformation code in Python?

Accepted Answer

SageMaker Data Wrangler

Answer

SageMaker Inference Recommender

Answer

Amazon Glue DataBrew

Answer

SageMaker Ground Truth

Question 7

An ML team wants to ensure that the same features used to train the model are used consistently during real-time inference, avoiding discrepancies. Which component should they use?

Accepted Answer

SageMaker Feature Store

Answer

SageMaker Model Card

Answer

SageMaker Experiments

Answer

Amazon S3

Question 8

Which service would you use to label a massive image dataset with the help of human workers, including automated assistance tools?

Accepted Answer

SageMaker Ground Truth

Answer

Amazon Rekognition

Answer

SageMaker Neo

Answer

Amazon Mechanical Turk directly

Question 9

You need to automate the entire ML workflow, from data preparation to training and deployment, using a native ML CI/CD service. Which is the correct tool?

Accepted Answer

SageMaker Pipelines

Answer

Amazon EventBridge

Answer

AWS Step Functions

Answer

AWS CodePipeline

Question 10

Which SageMaker tool helps determine the optimal instance type and configuration for deploying a model, balancing cost and performance?

Accepted Answer

SageMaker Inference Recommender

Answer

Compute Optimizer

Answer

Cost Explorer

Answer

SageMaker Model Monitor