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Amazon Web Services AIF-C01 Exam Sample Questions

Question # 1

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. 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.

Answer

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

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Question # 2

An AI practitioner is using an Amazon Bedrock base model to summarize session chats from the customer service department. The AI practitioner wants to store invocation logs to monitor model input and output data. Which strategy should the AI practitioner use?

A. Configure AWS CloudTrail as the logs destination for the model.

B. Enable invocation logging in Amazon Bedrock.

C. Configure AWS Audit Manager as the logs destination for the model.

D. Configure model invocation logging in Amazon EventBridge.

Answer

B. Enable invocation logging in Amazon Bedrock.

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Question # 3

In the context of machine learning, what is overfitting?

A. A model performs well on training data but poorly on unseen data.

B. A model performs equally well on both training and testing data.

C. A model underperforms on both training and testing data.

D. A model performs poorly on training data but well on unseen data.

Answer

A. A model performs well on training data but poorly on unseen data.

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Question # 4

A company wants to use AI to protect its application from threats. The AI solution needs to check if an IP address is from a suspicious source. Which solution meets these requirements?

A. Build a speech recognition system.

B. Create a natural language processing (NLP) named entity recognition system.

C. Develop an anomaly detection system.

D. Create a fraud forecasting system.

Answer

C. Develop an anomaly detection system.

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Question # 5

A company wants to create a chatbot by using a foundation model (FM) on Amazon Bedrock. The FM needs to access encrypted data that is stored in an Amazon S3 bucket. The data is encrypted with Amazon S3 managed keys (SSE-S3). The FM encounters a failure when attempting to access the S3 bucket data. Which solution will meet these requirements?

A. Ensure that the role that Amazon Bedrock assumes has permission to decrypt data with the correct encryption key.

B. Set the access permissions for the S3 buckets to allow public access to enable access over the internet.

C. Use prompt engineering techniques to tell the model to look for information in Amazon S3.

D. Ensure that the S3 data does not contain sensitive information.

Answer

A. Ensure that the role that Amazon Bedrock assumes has permission to decrypt data with the correct encryption key.

Explanation:

Amazon Bedrock needs the appropriate IAM role with permission to access and decrypt data stored in Amazon S3. If the data is encrypted with Amazon S3 managed keys (SSE-S3), the role that Amazon Bedrock assumes must have the required permissions to access and decrypt the encrypted data.

Option A (Correct): "Ensure that the role that Amazon Bedrock assumes has permission to decrypt data with the correct encryption key":This is the correct solution as it ensures that the AI model can access the encrypted data securely without changing the encryption settings or compromising data security.

Option B:"Set the access permissions for the S3 buckets to allow public access" is incorrect because it violates security best practices by exposing sensitive data to the public.

Option C:"Use prompt engineering techniques to tell the model to look for information in Amazon S3" is incorrect as it does not address the encryption and permission issue.

Option D:"Ensure that the S3 data does not contain sensitive information" is incorrect because it does not solve the access problem related to encryption.

AWS AI Practitioner References:

Managing Access to Encrypted Data in AWS:AWS recommends using proper IAM roles and policies to control access to encrypted data stored in S3.

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