IBM Certification IBM Watson AI & Machine Learning 2 — Questions and Answers
Question 1: Which IBM Watson NLP service identifies the language, sentiment, entities, and keywords in text?
- Watson Tone Analyzer
- Watson Natural Language Understanding (Correct answer)
- Watson Speech to Text
- Watson Personality Insights
Correct answer: Watson Natural Language Understanding
Watson Natural Language Understanding analyzes text to extract entities, keywords, sentiment, categories, and other semantic metadata.
Question 2: What is the difference between Watson Speech to Text and Watson Text to Speech?
- They are the same service with different names
- Speech to Text converts audio to written text; Text to Speech converts written text to audio (Correct answer)
- Speech to Text translates between languages; Text to Speech summarizes documents
- Speech to Text is for mobile only; Text to Speech is for web only
Correct 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.
Question 3: In IBM Watson Studio, what is a Jupyter Notebook used for?
- Managing user access policies
- Writing, running, and documenting data science code interactively (Correct answer)
- Deploying models to production automatically
- Scheduling ETL pipeline jobs
Correct 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.
Question 4: Which IBM Watson service is best suited for analyzing the emotional tone of written communication?
- Watson Language Translator
- Watson Tone Analyzer (Correct answer)
- Watson Knowledge Studio
- Watson Visual Recognition
Correct answer: Watson Tone Analyzer
Watson Tone Analyzer detects emotional and language tones—such as joy, anger, or confidence—in written text.
Question 5: What is the purpose of IBM Watson Knowledge Studio?
- To manage IBM cloud costs
- To train custom NLP models that recognize domain-specific entities and relations (Correct answer)
- To provision IBM virtual servers
- To create relational database schemas
Correct 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.
Question 6: Which IBM platform serves as the central hub for data, AI, and analytics tools including Watson Studio and Watson Machine Learning?
- IBM Db2 Warehouse
- IBM Cloud Pak for Data (Correct answer)
- IBM InfoSphere
- IBM Rational
Correct 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.
Which IBM Watson NLP service identifies the language, sentiment, entities, and keywords in text?