IBM Watson AI & Machine Learning Flashcards
6 cards from real IBM Certification practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 6 IBM Watson AI & Machine Learning flashcards as text
Which IBM Watson service is used to build and train machine learning models through a visual interface without writing code?
Answer: Watson Studio AutoAI
Watson Studio AutoAI automates the process of building, training, and deploying machine learning models through a visual, no-code interface.
What is the primary purpose of IBM Watson Discovery?
Answer: To extract insights from unstructured data using NLP
Watson Discovery uses NLP and AI to extract actionable insights from large volumes of unstructured text data.
Which Watson service allows developers to create conversational AI chatbots and virtual assistants?
Answer: Watson Assistant
Watson Assistant is the IBM service specifically designed for building and deploying AI-powered chatbots and virtual assistants.
In IBM Watson Machine Learning, what is the role of a deployment space?
Answer: It provides an environment to host and serve deployed models
A Watson Machine Learning deployment space is an environment where trained models are hosted and served for online or batch predictions.
Which IBM tool is used to monitor AI models for fairness, explainability, and drift in production?
Answer: IBM Watson OpenScale / IBM OpenScale
IBM OpenScale (now IBM Watson OpenScale / IBM AI Fairness 360 integrated product) monitors production AI models for bias, fairness, and performance drift.
What format does IBM Watson Machine Learning primarily use to store and exchange trained model artifacts?
Answer: PMML or scikit-learn/TensorFlow native formats packaged in a .tar.gz
Watson Machine Learning stores trained model artifacts in framework-native formats (e.g., scikit-learn, TensorFlow) packaged as compressed archives.