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

A company wants to create an application by using Amazon Bedrock. The company has a limited budget and prefers flexibility without long-term commitment.

Which Amazon Bedrock pricing model meets these requirements?

Options:

A.

On-Demand

B.

Model customization

C.

Provisioned Throughput

D.

Spot Instance

Discussion
Question 25

A company deployed an AI/ML solution to help customer service agents respond to frequently asked questions. The questions can change over time. The company wants to give customer service agents the ability to ask questions and receive automatically generated answers to common customer questions. Which strategy will meet these requirements MOST cost-effectively?

Options:

A.

Fine-tune the model regularly.

B.

Train the model by using context data.

C.

Pre-train and benchmark the model by using context data.

D.

Use Retrieval Augmented Generation (RAG) with prompt engineering techniques.

Discussion
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Question 26

A company needs to build its own large language model (LLM) based on only the company's private data. The company is concerned about the environmental effect of the training process.

Which Amazon EC2 instance type has the LEAST environmental effect when training LLMs?

Options:

A.

Amazon EC2 C series

B.

Amazon EC2 G series

C.

Amazon EC2 P series

D.

Amazon EC2 Trn series

Discussion
Question 27

A company wants to make a chatbot to help customers. The chatbot will help solve technical problems without human intervention. The company chose a foundation model (FM) for the chatbot. The chatbot needs to produce responses that adhere to company tone.

Which solution meets these requirements?

Options:

A.

Set a low limit on the number of tokens the FM can produce.

B.

Use batch inferencing to process detailed responses.

C.

Experiment and refine the prompt until the FM produces the desired responses.

D.

Define a higher number for the temperature parameter.

Discussion
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