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Amazon AWS Certified AI Practitioner Exam Sample Questions (Q49-Q54):

NEW QUESTION # 49
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?

A. Increase the temperature parameter on invocation requests to the LLM.
B. Create a prompt template that teaches the LLM to detect attack patterns.
C. Avoid using LLMs that are not listed in Amazon SageMaker.
D. Decrease the number of input tokens on invocations of the LLM.

Answer: B

NEW QUESTION # 50
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?

A. Use code that will calculate probability by using simple rules and computations.
B. Use unsupervised learning to create a model that will estimate probability density.
C. Use supervised learning to create a regression model that will predict probability.
D. Use reinforcement learning to train a model to return the probability.

Answer: A

NEW QUESTION # 51
An accounting firm wants to implement a large language model (LLM) to automate document processing.
The firm must proceed responsibly to avoid potential harms.
What should the firm do when developing and deploying the LLM? (Select TWO.)

A. Adjust the temperature parameter of the model.
B. Modify the training data to mitigate bias.
C. Include fairness metrics for model evaluation.
D. Apply prompt engineering techniques.
E. Avoid overfitting on the training data.

Answer: B,C

Explanation:
I'll continue with more questions. Stay tuned!

NEW QUESTION # 52
A company is building a contact center application and wants to gain insights from customer conversations.
The company wants to analyze and extract key information from the audio of the customer calls.
Which solution meets these requirements?

A. Transcribe call recordings by using Amazon Transcribe.
B. Create classification labels by using Amazon Comprehend.
C. Build a conversational chatbot by using Amazon Lex.
D. Extract information from call recordings by using Amazon SageMaker Model Monitor.

Answer: A

NEW QUESTION # 53
A financial institution is using Amazon Bedrock to develop an AI application. The application is hosted in a VPC. To meet regulatory compliance standards, the VPC is not allowed access to any internet traffic.
Which AWS service or feature will meet these requirements?

A. AWS PrivateLink
B. Amazon CloudFront
C. Amazon Macie
D. Internet gateway

Answer: A

NEW QUESTION # 54
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