IBM A1000-118 Intermediate Practice Exam: Medium Difficulty 2025

A retail company wants to implement an AI system that can understand customer sentiment from product reviews and automatically categorize feedback as positive, negative, or neutral. The system needs to process text in multiple languages and identify specific product features mentioned. Which combination of AI capabilities would be most appropriate for this scenario?

A manufacturing company has collected 10,000 labeled images of products showing defects and non-defects over the past year. They want to build a system that can automatically identify defective products on the production line. Which machine learning approach and consideration is most appropriate?

An e-commerce platform is experiencing model drift in their product recommendation system, where prediction accuracy has decreased from 85% to 68% over six months despite no changes to the model code. What is the most likely cause and appropriate solution?

A healthcare organization wants to use IBM Watson to analyze patient symptoms and medical history to assist doctors in diagnosis. They are concerned about the system making errors that could harm patients. Which AI principle should be prioritized, and what implementation approach supports it?

A financial services company is building a credit scoring model using historical loan data. During testing, they discover the model consistently assigns lower credit scores to applicants from certain demographic groups, even when financial indicators are similar. What type of AI problem is this, and what should be done?

A company wants to use IBM Watson Assistant to create a customer service chatbot. The chatbot needs to handle common questions, escalate complex issues to human agents, and integrate with their existing CRM system. Which combination of Watson capabilities and architecture considerations is most important?

A data scientist is training a neural network and notices that training accuracy reaches 98% while validation accuracy plateaus at 72%. Training loss continues to decrease while validation loss increases after epoch 15. What problem is occurring and what is the most appropriate solution?

A company wants to implement IBM Watson Discovery to analyze thousands of legal contracts and extract key information such as party names, dates, obligations, and terms. Which Watson Discovery features would be most beneficial for this use case?

An AI system is being deployed to screen job applications. To ensure fairness and comply with anti-discrimination laws, what combination of practices should the development team implement?

A company is comparing different machine learning algorithms for a customer churn prediction project. They have structured data with 50,000 customer records and 25 features including demographics, usage patterns, and service interactions. Which algorithm selection consideration is most appropriate?