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

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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: 365 Q&A's Shared By: laurie
Question 24

A social media company wants to use a large language model (LLM) for content moderation. The company wants to evaluate the LLM outputs for bias and potential discrimination against specific groups or individuals.

Which data source should the company use to evaluate the LLM outputs with the LEAST administrative effort?

Options:

A.

User-generated content

B.

Moderation logs

C.

Content moderation guidelines

D.

Benchmark datasets

Discussion
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Question 25

A company has fine-tuned an Amazon Bedrock foundation model (FM) to produce short document summaries. The company wants an automated metric that compares each model-generated summary with its human-written reference summary.

Which metric will meet these requirements?

Options:

A.

F1 score

B.

Recall-Oriented Understudy for Gisting Evaluation (ROUGE)

C.

Perplexity

D.

Fréchet Inception Distance (FID)

Discussion
Question 26

A retail company is tagging its product inventory. A tag is automatically assigned to each product based on the product description. The company created one product category by using a large language model (LLM) on Amazon Bedrock in few-shot learning mode.

The company collected a labeled dataset and wants to scale the solution to all product categories.

Which solution meets these requirements?

Options:

A.

Use prompt engineering with zero-shot learning.

B.

Use prompt engineering with prompt templates.

C.

Customize the model with continued pre-training.

D.

Customize the model with fine-tuning.

Discussion
Question 27

A company wants to customize a foundation model (FM). The company wants to understand the customization methods and data types that are available.

Select the correct customization method from the following list for each description. Select each customization method one time. (Select THREE.)

Customization methods:

• Continued pre-training

• Distillation

• Fine-tuning

Questions 27

Options:

Discussion
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