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Amazon Web Services Updated AIF-C01 Exam Questions and Answers by maximillian

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Amazon Web Services AIF-C01 Exam Overview :

Exam Name: AWS Certified AI Practitioner Exam
Exam Code: AIF-C01 Dumps
Vendor: Amazon Web Services Certification: AWS Certified AI Practitioner
Questions: 97 Q&A's Shared By: maximillian
Question 12

A company is using the Generative AI Security Scoping Matrix to assess security responsibilities for its solutions. The company has identified four different solution scopes based on the matrix.

Which solution scope gives the company the MOST ownership of security responsibilities?

Options:

A.

Using a third-party enterprise application that has embedded generative AI features.

B.

Building an application by using an existing third-party generative AI foundation model (FM).

C.

Refining an existing third-party generative AI foundation model (FM) by fine-tuning the model by using data specific to the business.

D.

Building and training a generative AI model from scratch by using specific data that a customer owns.

Discussion
Question 13

A company is building a solution to generate images for protective eyewear. The solution must have high accuracy and must minimize the risk of incorrect annotations.

Which solution will meet these requirements?

Options:

A.

Human-in-the-loop validation by using Amazon SageMaker Ground Truth Plus

B.

Data augmentation by using an Amazon Bedrock knowledge base

C.

Image recognition by using Amazon Rekognition

D.

Data summarization by using Amazon QuickSight

Discussion
Question 14

Which functionality does Amazon SageMaker Clarify provide?

Options:

A.

Integrates a Retrieval Augmented Generation (RAG) workflow

B.

Monitors the quality of ML models in production

C.

Documents critical details about ML models

D.

Identifies potential bias during data preparation

Discussion
Question 15

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?

Options:

A.

Batch transform

B.

Real-time inference

C.

Serverless inference

D.

Asynchronous inference

Discussion
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