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AI1-C01 Pdf Files & Test AI1-C01 Result

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Amazon AWS Certified AI Practitioner Exam Sample Questions (Q73-Q78):

NEW QUESTION # 73
Which term describes the numerical representations of real-world objects and concepts that AI and natural language processing (NLP) models use to improve understanding of textual information?

A. Binaries
B. Tokens
C. Models
D. Embeddings

Answer: D

NEW QUESTION # 74
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 unsupervised learning to create a model that will estimate probability density.
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 supervised learning to create a regression model that will predict probability.

Answer: C

NEW QUESTION # 75
An AI practitioner trained a custom model on Amazon Bedrock by using a training dataset that contains confidential data. The AI practitioner wants to ensure that the custom model does not generate inference responses based on confidential data.
How should the AI practitioner prevent responses based on confidential data?

A. Encrypt the confidential data in the inference responses by using Amazon SageMaker.
B. Encrypt the confidential data in the custom model by using AWS Key Management Service (AWS KMS).
C. Mask the confidential data in the inference responses by using dynamic data masking.
D. Delete the custom model. Remove the confidential data from the training dataset. Retrain the custom model.

Answer: D

NEW QUESTION # 76
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. Decrease the number of input tokens on invocations of the LLM.
B. Create a prompt template that teaches the LLM to detect attack patterns.
C. Increase the temperature parameter on invocation requests to the LLM.
D. Avoid using LLMs that are not listed in Amazon SageMaker.

Answer: B

NEW QUESTION # 77
A large retailer receives thousands of customer support inquiries about products every day. The customer support inquiries need to be processed and responded to quickly. The company wants to implement Agents for Amazon Bedrock.
What are the key benefits of using Amazon Bedrock agents that could help this retailer?

A. Selecting the foundation model (FM) based on predefined criteria and metrics
B. Generation of custom foundation models (FMs) to predict customer needs
C. Automatically calling multiple foundation models (FMs) and consolidating the results
D. Automation of repetitive tasks and orchestration of complex workflows

Answer: D

NEW QUESTION # 78
......

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