Winter Special - Limited Time 65% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: top65certs

Pass Using AIF-C01 Exam Dumps

Page: 3 / 7
Total 93 questions

AWS Certified AI Practitioner Exam Questions and Answers

Question 9

A company wants to use a large language model (LLM) to develop a conversational agent. The company needs to prevent the LLM from being manipulated with common prompt engineering techniques to perform undesirable actions or expose sensitive information.

Which action will reduce these risks?

Options:

A.

Create a prompt template that teaches the LLM to detect attack patterns.

B.

Increase the temperature parameter on invocation requests to the LLM.

C.

Avoid using LLMs that are not listed in Amazon SageMaker.

D.

Decrease the number of input tokens on invocations of the LLM.

Question 10

A company has a foundation model (FM) that was customized by using Amazon Bedrock to answer customer queries about products. The company wants to validate the model's responses to new types of queries. The company needs to upload a new dataset that Amazon Bedrock can use for validation.

Which AWS service meets these requirements?

Options:

A.

Amazon S3

B.

Amazon Elastic Block Store (Amazon EBS)

C.

Amazon Elastic File System (Amazon EFS)

D.

AWS Snowcone

Question 11

A company is building a large language model (LLM) question answering chatbot. The company wants to decrease the number of actions call center employees need to take to respond to customer questions.

Which business objective should the company use to evaluate the effect of the LLM chatbot?

Options:

A.

Website engagement rate

B.

Average call duration

C.

Corporate social responsibility

D.

Regulatory compliance

Question 12

A company wants to develop an educational game where users answer questions such as the following: "A jar contains six red, four green, and three yellow marbles. What is the probability of choosing a green marble from the jar?"

Which solution meets these requirements with the LEAST operational overhead?

Options:

A.

Use supervised learning to create a regression model that will predict probability.

B.

Use reinforcement learning to train a model to return the probability.

C.

Use code that will calculate probability by using simple rules and computations.

D.

Use unsupervised learning to create a model that will estimate probability density.

Page: 3 / 7
Total 93 questions