AWS Certified AI Practitioner AIF-C01 Practice Test

AWS Certified AI Practitioner AIF-C01 Practice Test practice questions, page 19 of 20, with answer review and explanations.

Question 91

A company has installed a security camera. The company uses an ML model to evaluate the security camera footage for potential thefts. The company has discovered that the model disproportionately flags people who are members of a specific ethnic group. Which type of bias is affecting the model output?

  1. Measurement bias
  2. Sampling bias
  3. Observer bias
  4. Confirmation bias

Question 92

A company is building a customer service chatbot. The company wants the chatbot to improve its responses by learning from past interactions and online resources. Which AI learning strategy provides this self-improvement capability?

  1. Supervised learning with a manually curated dataset of good responses and bad responses
  2. Reinforcement learning with rewards for positive customer feedback
  3. Unsupervised learning to find clusters of similar customer inquiries
  4. Supervised learning with a continuously updated FAQ database

Question 93

An AI practitioner has built a deep learning model to classify the types of materials in images. The AI practitioner now wants to measure the model performance. Which metric will help the AI practitioner evaluate the performance of the model?

  1. Confusion matrix
  2. Correlation matrix
  3. R2 score
  4. Mean squared error (MSE)

Question 94

A company has built a chatbot that can respond to natural language questions with images. The company wants to ensure that the chatbot does not return inappropriate or unwanted images. Which solution will meet these requirements?

  1. Implement moderation APIs.
  2. Retrain the model with a general public dataset.
  3. Perform model validation.
  4. Automate user feedback integration.

Question 95

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?

  1. Configure AWS CloudTrail as the logs destination for the model.
  2. Enable invocation logging in Amazon Bedrock.
  3. Configure AWS Audit Manager as the logs destination for the model.
  4. Configure model invocation logging in Amazon EventBridge.