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 NLP service identifies the language, sentiment, entities, and keywords in text?
Answer: Watson Natural Language Understanding
Watson Natural Language Understanding analyzes text to extract entities, keywords, sentiment, categories, and other semantic metadata.
What is the difference between Watson Speech to Text and Watson Text to Speech?
Answer: Speech to Text converts audio to written text; Text to Speech converts written text to audio
Watson Speech to Text transcribes audio input into written text, while Watson Text to Speech synthesizes written text into spoken audio.
In IBM Watson Studio, what is a Jupyter Notebook used for?
Answer: Writing, running, and documenting data science code interactively
Jupyter Notebooks in Watson Studio provide an interactive environment for writing and executing code alongside documentation for data science workflows.
Which IBM Watson service is best suited for analyzing the emotional tone of written communication?
Answer: Watson Tone Analyzer
Watson Tone Analyzer detects emotional and language tones—such as joy, anger, or confidence—in written text.
What is the purpose of IBM Watson Knowledge Studio?
Answer: To train custom NLP models that recognize domain-specific entities and relations
Watson Knowledge Studio allows subject matter experts to annotate documents and train custom NLP models for domain-specific entity and relation extraction.
Which IBM platform serves as the central hub for data, AI, and analytics tools including Watson Studio and Watson Machine Learning?
Answer: IBM Cloud Pak for Data
IBM Cloud Pak for Data is the integrated platform that hosts Watson Studio, Watson Machine Learning, and other data and AI services.