IBM A1000-078 - Assessment: Foundations of AI Intermediate Practice Exam: Medium Difficulty 2025

A retail company wants to implement an AI system that can predict customer churn by analyzing purchasing patterns, customer demographics, and interaction history. The system needs to classify customers into 'likely to churn' or 'likely to remain' categories. Which combination of AI approach and learning type is most appropriate for this scenario?

An AI development team notices that their model performs exceptionally well on training data (98% accuracy) but poorly on new, unseen data (65% accuracy). The model is a deep neural network with many layers and parameters. What is the primary issue and the most effective initial remediation strategy?

A healthcare organization is developing an AI system to assist radiologists in detecting anomalies in medical images. The system must provide explanations for its predictions to meet regulatory requirements and build clinician trust. Which AI characteristic is most critical for this application, and what implementation approach supports it?

A financial services company wants to use IBM Watson Natural Language Understanding to analyze customer feedback from multiple sources (emails, chat transcripts, surveys). They need to identify customer sentiment, extract key topics, and detect emotion to improve service quality. Which combination of Watson NLU features would best address these requirements?

An e-commerce platform is implementing a recommendation system that suggests products based on user browsing history, purchase patterns, and similar user behaviors. As the system learns, it increasingly recommends only popular mainstream products, reducing exposure to niche items that some users prefer. What AI challenge does this scenario primarily illustrate?

A manufacturing company wants to use IBM Watson Visual Recognition to identify defects in products on an assembly line. They have images of both defective and non-defective products. The system needs to be customized for their specific product types and defect patterns. What approach should they take with Watson Visual Recognition?

A logistics company is developing an AI system to optimize delivery routes in real-time based on traffic conditions, weather, package priorities, and vehicle capacity. The system must learn to make sequential decisions that maximize efficiency over time. Which machine learning approach is most suitable for this dynamic decision-making scenario?

A global customer service organization wants to implement an AI-powered virtual assistant using IBM Watson Assistant to handle customer inquiries across multiple languages. The assistant needs to understand customer intents, maintain conversation context, and integrate with backend systems. Which Watson Assistant capabilities are essential for this multi-component solution?

A transportation company is implementing predictive maintenance AI to forecast equipment failures before they occur. The AI system analyzes sensor data, maintenance logs, and operational parameters. After deployment, the system's accuracy gradually decreases over several months, despite no changes to the model. What is the most likely cause and appropriate solution?

A media company wants to automatically generate tags and metadata for their large video library to improve searchability and content recommendations. They need to identify objects, scenes, activities, and spoken content within videos. Which combination of AI services and techniques would most effectively address this multi-modal content analysis requirement?