IBM A1000-074: Assessment: Foundations of Watson AI v2 Intermediate Practice Exam: Medium Difficulty 2025

A healthcare organization wants to implement Watson Discovery to analyze thousands of medical research papers. They need to extract specific medical entities like diseases, treatments, and drug names. Which combination of Watson Discovery features would be MOST effective for this use case?

During the development of a Watson Assistant chatbot, a developer notices that the assistant frequently confuses two intents: 'check_order_status' and 'cancel_order' when users ask questions like 'What's happening with my order?'. What is the BEST approach to resolve this intent classification issue?

A machine learning model demonstrates 98% accuracy during training but only 72% accuracy when deployed in production with real user data. Which AI concept BEST describes this situation, and what is the most likely cause?

An e-commerce company wants to use Watson Natural Language Understanding (NLU) to analyze customer product reviews. They need to extract product features mentioned, determine sentiment toward each feature, and identify the overall emotional tone. Which NLU features should they configure to meet ALL these requirements?

A development team is building a Watson Assistant solution that needs to integrate with multiple backend systems (CRM, inventory, and payment processing). The assistant must retrieve real-time data from these systems during conversations. What is the MOST appropriate architectural approach?

A financial services company is implementing an AI solution to assist with loan application processing. Which combination of considerations represents the BEST approach to responsible AI implementation for this use case?

When comparing supervised learning and unsupervised learning approaches, a data scientist must choose the appropriate method for a project that involves analyzing customer transaction data to identify previously unknown purchasing patterns without predefined categories. Which approach is most suitable and why?

A Watson Assistant implementation for a travel booking company is experiencing high volumes of user requests during peak hours. The assistant needs to handle multiple concurrent conversations efficiently while maintaining context for each user. Which architectural consideration is MOST critical for this scenario?

A retail company wants to implement a cognitive search solution using Watson Discovery to help customer service agents quickly find relevant information across product manuals, FAQs, and policy documents. They need results ranked by relevance with highlighted passages. What combination of Watson Discovery capabilities should be emphasized in the implementation?

An organization is evaluating whether to implement an AI solution for their customer support operation. Currently, they handle 10,000 support tickets monthly with 70% being routine questions about password resets, account status, and basic troubleshooting. What factors should MOST influence their decision to implement a Watson-based AI solution?