IBM C1000-012日本語 : IBM Watson Application Developer V3.1 (C1000-012日本語版)

Exam Code: C1000-012J

Exam Name: IBM Watson Application Developer V3.1 (C1000-012日本語版)

Updated: Aug 13, 2026

Q & A: 100 Questions and Answers

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IBM C1000-012日本語 Exam Syllabus Topics:

Topic	Details
Topic 1	Identify The Difference Between The User Question And The User Intent Perform Domain Adaption Using Watson Knowledge Studio (WKS)
Topic 2	Measure Accuracy Of A Watson AI Service Define Precision, Recall, And Accuracy Define Intents And Classes
Topic 3	Explain The Watson REST Apis Available As Part Of The Watson AI Services On IBM Cloud Fundamentals Of IBM Watson AI Services
Topic 4	Describe The Tasks Required To Implement The Conversational Agent Digital Bot Design And Execute A Use Case Driven Service Choreography (Within An API)
Topic 5	Distinguish The Watson AI Services On IBM Cloud For Which Training Is Required Explain The Watson Sdks Available As Part Of The Watson AI Services On IBM Cloud
Topic 6	Provide Examples Of Text Classification Using The NLC Describe The IBM Watson Discovery Service Describe The Watson Conversational Agent
Topic 7	Explain And Configure The Natural Language Classification Service Explain And Configure The Visual Recognition Service
Topic 8	Explain And Execute IBM Watson Natural Language Understanding Service Explain, Setup, Configure And Query The IBM Watson Discovery Service
Topic 9	Select An Appropriate Combination Of AI Technologies Based On Use-Case And Data Format Use Cases For Artificial Intelligence
Topic 10	Explain Use Cases For Integrating External Systems (Such As Twitter, Weather API) Explain The Uses Of The Watson AI Services In The Starter Kits
Topic 11	Explain The Process To Provision And Use An Instance Of An IBM Watson AI Service Instance On IBM Cloud Explain How The Personality Insights Service Works
Topic 12	Define Common Design Patterns For Composing Multiple Watson Services Together (Across Apis) Explain And Configure The IBM Watson Assistant Service
Topic 13	Explain The Importance Of Separating Training, Validation And Test Data Define The Main Characteristics Of An AI System
Topic 14	Explain Machine Learning Technologies (Supervised, Unsupervised, Reinforcement Learning Approaches) Explain Neural Nets

Reference: https://www.ibm.com/certify/exam?id=C1000-012

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