IBM A1000-118 Practice Exam: Test Your Knowledge 2025

What is the primary difference between Artificial Intelligence (AI) and Machine Learning (ML)?

A retail company wants to automatically categorize customer service emails into different departments. Which type of machine learning approach is most appropriate for this task?

Which IBM Watson service would be most appropriate for analyzing the sentiment and emotional tone in customer feedback?

An AI system used in healthcare for diagnostic recommendations consistently performs poorly for patients from certain demographic groups. What ethical principle is primarily being violated?

What is the primary purpose of a training dataset in machine learning?

A manufacturing company wants to implement an AI system that can predict equipment failures before they occur. What type of AI application is this?

In the context of neural networks, what is the primary function of an activation function?

A company is building a chatbot using IBM Watson Assistant. They want the chatbot to understand user requests even when phrased differently. Which Watson Assistant feature enables this capability?

Which principle of responsible AI emphasizes that organizations should be able to explain how their AI systems make decisions?

What distinguishes Deep Learning from traditional Machine Learning approaches?

A data scientist notices that their model performs excellently on training data but poorly on new, unseen data. What problem is the model experiencing?

Which IBM Watson service would be most suitable for extracting structured information such as entities, relationships, and concepts from large volumes of unstructured documents?

In a business context, what is the primary benefit of implementing AI governance frameworks?

What is the fundamental concept behind reinforcement learning?

A global organization is implementing an AI-powered hiring system. To ensure ethical deployment, which of the following considerations is MOST critical?

What is the primary difference between narrow AI (weak AI) and general AI (strong AI)?

An organization wants to use IBM Watson Studio to build and deploy machine learning models. Which capability does Watson Studio provide?

In a machine learning pipeline, what is the purpose of feature engineering?

A company is implementing an AI system for customer service and wants to ensure transparency. Which approach best demonstrates transparency in AI?

A research team is developing a computer vision system that needs to identify objects in images that it has never seen during training. Which advanced AI technique would be most appropriate?