Free IBM A1000-077 - Assessment: Foundations of AI Practice Test
A1000-077
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What is the primary difference between Artificial Intelligence (AI) and Machine Learning (ML)?
A retail company wants to categorize customer reviews as positive, negative, or neutral. Which type of machine learning approach is most appropriate for this task?
Which IBM Watson service would be most suitable for extracting entities, relationships, and sentiment from unstructured text data?
What is a key principle of responsible AI that addresses the need for AI systems to provide explanations for their decisions?
In the context of neural networks, what is the purpose of an activation function?
A healthcare organization is implementing an AI system to assist with medical diagnoses. Which ethical consideration should be their PRIMARY concern?
What distinguishes Deep Learning from traditional Machine Learning approaches?
A company wants to build a chatbot that can understand customer intents and provide contextual responses. Which combination of IBM Watson services would be most appropriate?
In supervised learning, what is the purpose of splitting data into training, validation, and test sets?
What is 'bias' in the context of AI ethics and fairness?
A manufacturing company wants to identify defective products on an assembly line using images. They have thousands of images of normal products but very few images of defective ones. What approach would be most effective?
What is the role of IBM Watson Studio in the AI development lifecycle?
Which type of learning involves an agent learning to make decisions by receiving rewards or penalties based on its actions in an environment?
A financial services company is deploying an AI system for loan approval decisions. What governance practice is essential to ensure regulatory compliance and accountability?
What is the primary purpose of Natural Language Processing (NLP) in AI?
A data scientist notices that their model performs excellently on training data but poorly on new, unseen data. What problem is this indicative of, and what is the appropriate solution?
An enterprise wants to implement AI governance that addresses the full AI lifecycle. Which components should be included in a comprehensive AI governance framework?
In a convolutional neural network (CNN) for image classification, what is the primary function of pooling layers?
A company wants to use IBM Watson to analyze customer call recordings to identify common issues and sentiment. Which combination of services would provide the most comprehensive solution?
What is transfer learning, and why is it particularly valuable in deep learning applications?
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