Identify Benefits and Capabilities of Generative AI Solutions AB-731 Practice Questions (Page 6)

Questions 26–30

1. 26foundation · easy

   Which of the following is a key security consideration for AI systems?

   • AEnsuring the model is trained on as much data as possible
   • BDeploying the model on a public cloud to increase accessibility
   • CImplementing strong authentication and access controls to prevent unauthorized use
   • DUsing a larger model to improve accuracy
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2. 27application · medium

   A financial services firm wants to deploy a generative AI chatbot that answers customer questions about their account balances and recent transactions. The firm requires that the chatbot never fabricates account information. Which grounding strategy should the firm implement?

   • AUse a generic model and instruct it to be careful with numbers.
   • BFine-tune the model on a historical dataset of customer transactions.
   • CStore all customer data in a vector database and retrieve similar past conversations.
   • DConnect the chatbot to a real-time API that retrieves the customer's account data and use that data in the prompt.
   Reveal Solution Discussion Select an answer first
4. 28foundation · easy

   A team is developing an AI model to detect fraudulent transactions. The training data contains only a small number of fraud examples compared to legitimate transactions. What is the most likely impact of this data imbalance on the model's performance?

   • AThe model may learn to predict 'not fraud' too often, missing many actual fraud cases
   • BThe model will be more accurate at detecting fraud because it sees fewer examples
   • CThe model's inference speed will decrease due to the imbalance
   • DThe model will automatically balance the classes during training
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5. 29application · medium

   A customer support team uses a generative AI system to draft responses to customer emails. The team notices that the AI sometimes includes disclaimers that are not appropriate for the company's tone. They want to reduce this behavior without changing the underlying model. What should they do?

   • ASwitch to a different, larger language model.
   • BIncrease the temperature setting to make the model more creative.
   • CRefine the system prompt to specify the desired tone and explicitly instruct the model to avoid disclaimers.
   • DRetrain the model on a new dataset of customer emails.
   Reveal Solution Discussion Select an answer first
6. 30application · medium

   A financial services firm wants to deploy a generative AI assistant that answers employee questions about internal HR policies. The policies are stored in a private SharePoint site and are updated frequently. The AI must only reference the latest approved versions and must not use general knowledge. Which approach should the firm take?

   • AUse prompt engineering alone to instruct the model to answer only from the policies.
   • BFine-tune a large language model on the HR policy documents and deploy it as a standalone model.
   • CUse a retrieval-augmented generation (RAG) solution that indexes the SharePoint site and retrieves relevant policy sections at query time.
   • DDeploy a general-purpose chatbot without any grounding and rely on its built-in knowledge.
   Reveal Solution Discussion Select an answer first