AIF-C01 Machine Learning Operations (MLOps) 3

Question 1

Which AWS service can be used to create event-driven model retraining pipelines by reacting to new data uploaded to S3?

Accepted Answer

Amazon EventBridge

Answer

Amazon EventBridge can detect S3 events (such as new file uploads) and trigger downstream actions like starting a SageMaker Pipeline for retraining automatically.

Question 2

What does 'training-serving skew' mean in ML operations?

Accepted Answer

When the features or data preprocessing used during training differ from those used during inference

Answer

Training-serving skew occurs when the feature engineering or data transformations applied at training time differ from those at inference time, causing unexpected model behavior in production.

Question 3

Which SageMaker Model Monitor schedule type detects changes in data quality of live inference input data?

Accepted Answer

Data Quality Monitor

Answer

The Data Quality Monitor compares statistical properties of real-time inference inputs against a baseline to detect data drift such as changes in distributions, missing values, or type violations.

Question 4

In MLOps, what is the purpose of a model approval gate in a deployment pipeline?

Accepted Answer

To require a human or automated review before a trained model is promoted to production

Answer

A model approval gate (such as the 'Approved' status in SageMaker Model Registry) ensures that trained models undergo validation — automated or manual — before being deployed to production.

Question 5

What is the benefit of using Amazon SageMaker Pipelines over AWS Step Functions for ML workflows?

Accepted Answer

SageMaker Pipelines has native integrations for ML-specific steps like training, processing, and model registration

Answer

SageMaker Pipelines provides first-class ML step types (TrainingStep, ProcessingStep, RegisterModel, etc.) with lineage tracking and native SageMaker integration, making it purpose-built for ML workflows.

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AWS AI Practitioner Practice Test

AIF-C01 Machine Learning Operations (MLOps) 3