AIGP practice questions 81–90

1. Question 81 · 161 in bank

   A leading software development company wants to integrate AI-powered chatbots into their customer service platform. After researching various AI models in the market which have been developed by third party developers, they’re considering two options: Option A - an open-source language model trained on a vast corpus of text data and capable of being trained to respond to natural language inputs. Option B - a proprietary, generative AI model pre-trained on large data sets, which uses transformer-based architectures to generate human-like responses based on multimodal user input. Option A would be the best choice for the company because:

   • AIt is less expensive to run.
   • BIt may be better suited for applications requiring customization.
   • CIt can handle voice commands and is more suitable for phone-based customer support.
   • DIt is built for large-scale, complex dialogues and would be more effective in handling high-volume customer inquiries.

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   Answer: B

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2. Question 82 · 161 in bank

   An autonomous vehicle maker deploys an AI system whereby the car is equipped with AI that makes decisions locally, without calling in to the AI’s central server. The AI is capable of making decisions without waiting for a response from a remote system. The AI can continue to function if it temporarily loses its connection to the central server, such as driving through tunnels or areas where its signal is lost. The AI can periodically receive updates to its model from its central server. A subset of anonymized data can be used to train the manufacturer’s AI model, depending on user privacy settings. The manufacturer has deployed the AI using:

   • AA cloud model.
   • BAn edge model.
   • CA federated model.
   • DA multimodal model.

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   Answer: B

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3. Question 83 · 161 in bank

   An organization is assessing the impact of four separate AI tools currently in use. Which one should it prioritize last?

   • AAn AI system that recommends products based on customer prompts via chat.
   • BAn AI system that screens resumes for university degrees.
   • CAn AI system that analyzes emotions on customer service calls.
   • DAn AI system that analyzes customer account data for creditworthiness.

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   Answer: A

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4. Question 84 · 161 in bank

   What is the most significant risk of deploying an AI model that can create realistic images and videos?

   • ACopyright infringement.
   • BSecurity breaches.
   • CDownstream harms.
   • DOutput cannot be protected.

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   Answer: C

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5. Question 85 · 161 in bank

   After deploying an AI model, what must be documented?

   • AThe data used to train, hyperparameters and stakeholder feedback.
   • BEncountered issues, the monitoring process and risks.
   • CLicensing information, the team and business goals.
   • DThe model’s architecture, performance metrics and updates.

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   Answer: B

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6. Question 86 · 161 in bank

   You asked a generative AI tool to recommend new restaurants to explore in Boston, Massachusetts that have a specialty Italian dish made in a traditional fashion without spinach and wine. The generative AI tool recommended five restaurants for you to visit. After looking up the restaurants, you discovered one restaurant did not exist and two others did not have the dish. This information provided by the generative AI tool is an example of what commonly called:

   • APrompt injection.
   • BModel collapse.
   • CHallucination.
   • DOverfitting.

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   Answer: C

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7. Question 87 · 161 in bank

   Each of the following actors are typically engaged in the AI development life cycle EXCEPT:

   • AData architects.
   • BGovernment regulators.
   • CSocio-cultural and technical experts.
   • DLegal and privacy governance experts.

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   Answer: B

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8. Question 88 · 161 in bank

   CASE STUDY - Please use the following to answer the next question: ABC Corp. is a leading insurance provider offering a range of coverage options to individuals. ABC has decided to utilize artificial intelligence to streamline and improve its customer acquisition and underwriting process, including the accuracy and efficiency of pricing policies. ABC has engaged a cloud provider to utilize and fine-tune its pre-trained, general purpose large language model (“LLM”). In particular, ABC intends to use its historical customer data – including applications, policies, and claims – and proprietary pricing and risk strategies to provide an initial qualification assessment of potential customers, which would then be routed to a human underwriter for final review. ABC and the cloud provider have completed training and testing the LLM, performed a readiness assessment, and made the decision to deploy the LLM into production. ABC has designated an internal compliance team to monitor the model during the first month, specifically to evaluate the accuracy, fairness, and reliability of its output. After the first month in production, ABC realizes that the LLM declines a higher percentage of women’s loan applications due primarily to women historically receiving lower salaries than men. Which of the following is the most important reason to train the underwriters on the model prior to deployment?

   • ATo provide a reminder of a right to appeal.
   • BTo solicit on-going feedback on model performance.
   • CTo apply their own judgment to the initial assessment.
   • DTo ensure they provide transparency to applicants on the model.

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   Answer: C

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9. Question 89 · 161 in bank

   CASE STUDY - Please use the following to answer the next question: ABC Corp. is a leading insurance provider offering a range of coverage options to individuals. ABC has decided to utilize artificial intelligence to streamline and improve its customer acquisition and underwriting process, including the accuracy and efficiency of pricing policies. ABC has engaged a cloud provider to utilize and fine-tune its pre-trained, general purpose large language model (“LLM”). In particular, ABC intends to use its historical customer data – including applications, policies, and claims – and proprietary pricing and risk strategies to provide an initial qualification assessment of potential customers, which would then be routed to a human underwriter for final review. ABC and the cloud provider have completed training and testing the LLM, performed a readiness assessment, and made the decision to deploy the LLM into production. ABC has designated an internal compliance team to monitor the model during the first month, specifically to evaluate the accuracy, fairness, and reliability of its output. After the first month in production, ABC realizes that the LLM declines a higher percentage of women’s loan applications due primarily to women historically receiving lower salaries than men. During the first month when ABC monitors the model for bias, it is most important to:

   • AContinue disparity testing.
   • BAnalyze the quality of the training and testing data.
   • CCompare the results to human decisions prior to deployment.
   • DSeek approval from management for any changes to the model.

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   Answer: A

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10. Question 90 · 161 in bank

    CASE STUDY - Please use the following to answer the next question: ABC Corp. is a leading insurance provider offering a range of coverage options to individuals. ABC has decided to utilize artificial intelligence to streamline and improve its customer acquisition and underwriting process, including the accuracy and efficiency of pricing policies. ABC has engaged a cloud provider to utilize and fine-tune its pre-trained, general purpose large language model (“LLM”). In particular, ABC intends to use its historical customer data – including applications, policies, and claims – and proprietary pricing and risk strategies to provide an initial qualification assessment of potential customers, which would then be routed to a human underwriter for final review. ABC and the cloud provider have completed training and testing the LLM, performed a readiness assessment, and made the decision to deploy the LLM into production. ABC has designated an internal compliance team to monitor the model during the first month, specifically to evaluate the accuracy, fairness, and reliability of its output. After the first month in production, ABC realizes that the LLM declines a higher percentage of women’s loan applications due primarily to women historically receiving lower salaries than men. Each of the following steps would support fairness testing by the compliance team during the first month in production EXCEPT:

    • AValidating a similar level of decision-making across different demographic groups.
    • BProviding the loan applicants with information about the model capabilities and limitations.
    • CIdentifying if additional training data should be collected for specific demographic groups.
    • DUsing tools to help understand factors that may account for differences in decision-making.

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    Answer: B

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AIGP practice, question 81. 161 questions available.