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Amazon AWS Certified AI Practitioner Sample Questions:

1. Which functionality does Amazon SageMaker Clarify provide?

A) Integrates a Retrieval Augmented Generation (RAG) workflow
B) Monitors the quality of ML models in production
C) Identifies potential bias during data preparation
D) Documents critical details about ML models

2. Which AWS service or feature can help an AI development team quickly deploy and consume a foundation model (FM) within the team's VPC?

A) Amazon SageMaker endpoints
B) PartyRock, an Amazon Bedrock Playground
C) Amazon SageMaker JumpStart
D) Amazon Personalize

3. A company built a deep learning model for object detection and deployed the model to production.
Which AI process occurs when the model analyzes a new image to identify objects?

A) Model deployment
B) Inference
C) Bias correction
D) Training

4. A company is building an ML model to analyze archived data. The company must perform inference on large datasets that are multiple GBs in size. The company does not need to access the model predictions immediately.
Which Amazon SageMaker inference option will meet these requirements?

A) Real-time inference
B) Asynchronous inference
C) Batch transform
D) Serverless inference

5. An AI company periodically evaluates its systems and processes with the help of independent software vendors (ISVs). The company needs to receive email message notifications when an ISV's compliance reports become available.
Which AWS service can the company use to meet this requirement?

A) AWS Trusted Advisor
B) AWS Artifact
C) AWS Audit Manager
D) AWS Data Exchange

Solutions: