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

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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: 186 Q&A's Shared By: lennie
Question 28

Which option is a benefit of using Amazon SageMaker Model Cards to document AI models?

Options:

A.

Providing a visually appealing summary of a model's capabilities.

B.

Standardizing information about a model's purpose, performance, and limitations.

C.

Reducing the overall computational requirements of a model.

D.

Physically storing models for archival purposes.

Discussion
Question 29

A company is developing a new model to predict the prices of specific items. The model performed well on the training dataset. When the company deployed the model to production, the model's performance decreased significantly.

What should the company do to mitigate this problem?

Options:

A.

Reduce the volume of data that is used in training.

B.

Add hyperparameters to the model.

C.

Increase the volume of data that is used in training.

D.

Increase the model training time.

Discussion
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Question 30

A publishing company built a Retrieval Augmented Generation (RAG) based solution to give its users the ability to interact with published content. New content is published daily. The company wants to provide a near real-time experience to users.

Which steps in the RAG pipeline should the company implement by using offline batch processing to meet these requirements? (Select TWO.)

Options:

A.

Generation of content embeddings

B.

Generation of embeddings for user queries

C.

Creation of the search index

D.

Retrieval of relevant content

E.

Response generation for the user

Discussion
Question 31

A company needs to choose a model from Amazon Bedrock to use internally. The company must identify a model that generates responses in a style that the company's employees prefer.

What should the company do to meet these requirements?

Options:

A.

Evaluate the models by using built-in prompt datasets.

B.

Evaluate the models by using a human workforce and custom prompt datasets.

C.

Use public model leaderboards to identify the model.

D.

Use the model InvocationLatency runtime metrics in Amazon CloudWatch when trying models.

Discussion
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