IBM Certification IBM Watson AI & Machine Learning 1 — Questions and Answers
Question 1: Which IBM Watson service is used to build and train machine learning models through a visual interface without writing code?
- Watson Studio AutoAI (Correct answer)
- Watson Assistant
- Watson Discovery
- Watson Natural Language Understanding
Correct answer: Watson Studio AutoAI
Watson Studio AutoAI automates the process of building, training, and deploying machine learning models through a visual, no-code interface.
Question 2: What is the primary purpose of IBM Watson Discovery?
- To build chatbots
- To extract insights from unstructured data using NLP (Correct answer)
- To manage cloud infrastructure
- To monitor IT operations
Correct 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.
Question 3: Which Watson service allows developers to create conversational AI chatbots and virtual assistants?
- Watson Knowledge Catalog
- Watson OpenScale
- Watson Assistant (Correct answer)
- Watson Machine Learning
Correct answer: Watson Assistant
Watson Assistant is the IBM service specifically designed for building and deploying AI-powered chatbots and virtual assistants.
Question 4: In IBM Watson Machine Learning, what is the role of a deployment space?
- It stores raw training data
- It manages user authentication
- It provides an environment to host and serve deployed models (Correct answer)
- It monitors network security
Correct 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.
Question 5: Which IBM tool is used to monitor AI models for fairness, explainability, and drift in production?
- Watson Studio
- IBM OpenScale (Watson OpenPages)
- IBM Watson OpenScale / IBM OpenScale (Correct answer)
- IBM Cognos Analytics
Correct 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.
Question 6: What format does IBM Watson Machine Learning primarily use to store and exchange trained model artifacts?
- CSV
- XML
- PMML or scikit-learn/TensorFlow native formats packaged in a .tar.gz (Correct answer)
- JSON only
Correct 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.
IBM Certification IBM Watson AI & Machine Learning 1
Which IBM Watson service is used to build and train machine learning models through a visual interface without writing code?