AIF-C01 practice questions 191–200

1. Question 191 · 417 in bank

   An ecommerce company is using a chatbot to automate the customer order submission process. The chatbot is powered by AI and is available to customers directly from the company's website 24 hours a day, 7 days a week. Which option is an AI system input vulnerability that the company needs to resolve before the chatbot is made available?

   • AData leakage
   • BPrompt injection
   • CLarge language model (LLM) hallucinations
   • DConcept drift

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   Answer: B

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2. Question 192 · 417 in bank

   A social media company wants to prevent users from posting discriminatory content on the company's application. The company wants to use Amazon Bedrock as part of the solution. How can the company use Amazon Bedrock to meet these requirements?

   • AGive users the ability to interact based on user preferences.
   • BBlock interactions related to predefined topics.
   • CRestrict user conversations to predefined topics.
   • DProvide a variety of responses to select from for user engagement.

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   Answer: B

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3. Question 193 · 417 in bank

   An education company waftion. The application will give users the ability to enter text or provide a picture of a question. The application will respond with a written answer and an explanation of the written answer. Which model type meets these requirements?

   • AComputer vision model
   • BLarge multi-modal language model
   • CDiffusion model
   • DText-to-speech model

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   Answer: B

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4. Question 194 · 417 in bank

   In which stage of the generative AI model lifecycle are tests performed to examine the model's accuracy?

   • ADeployment
   • BData selection
   • CFine-tuning
   • DEvaluation

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   Answer: D

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5. Question 195 · 417 in bank

   Which statement correctly describes embeddings in generative AI?

   • AEmbeddings represent data as high-dimensional vectors that capture semantic relationships.
   • BEmbeddings is a technique that searches data to find the most helpful information to answer natural language questions.
   • CEmbeddings reduce the hardware requirements of a model by using a less precise data type for the weights and activations.
   • DEmbeddings provide the ability to store and retrieve data for generative AI applications.

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   Answer: A

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6. Question 196 · 417 in bank

   A company wants to add generative AI functionality to its application by integrating a large language model (LLM). The responses from the LLM must be as deterministic and as stable as possible. Which solution meets these requirements?

   • AConfigure the application to automatically set the temperature parameter to 0 when submitting the prompt to the LLM.
   • BConfigure the application to automatically add "make your response deterministic" at the end of the prompt before submitting the prompt to the LLM.
   • CConfigure the application to automatically add "make your response deterministic" at the beginning of the prompt before submitting the prompt to the LLM.
   • DConfigure the application to automatically set the temperature parameter to 1 when submitting the prompt to the LLM.

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   Answer: A

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7. Question 197 · 417 in bank

   A company needs to select a generative AI model to build an application. The application must provide responses to users in real time. Which model characteristic should the company consider to meet these requirements?

   • AModel complexity
   • BInnovation speed
   • CInference speed
   • DTraining time

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   Answer: C

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8. Question 198 · 417 in bank

   Which term refers to the instructions given to foundation models (FMs) so that the FMs provide a more accurate response to a question?

   • APrompt
   • BDirection
   • CDialog
   • DTranslation

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   Answer: A

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9. Question 199 · 417 in bank

   A retail company wants to build an ML model to recommend products to customers. The company wants to build the model based on responsible practices. Which practice should the company apply when collecting data to decrease model bias?

   • AUse data from only customers who match the demographics of the company's overall customer base.
   • BCollect data from customers who have a past purchase history.
   • CEnsure that the data is balanced and collected from a diverse group.
   • DEnsure that the data is from a publicly available dataset.

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   Answer: C

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10. Question 200 · 417 in bank

    A company is developing an ML model to predict customer churn. Which evaluation metric will assess the model's performance on a binary classification task such as predicting churn?

    • AF1 score
    • BMean squared error (MSE)
    • CR-squared
    • DTime used to train the model

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    Answer: A

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AIF-C01 practice, question 191. 417 questions available.