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Exam Number : C1000-012
Exam Name : IBM Watson Application Developer V3.1
Vendor Name : IBM
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C1000-012 test
Format | C1000-012 Course Contents | C1000-012 Course Outline | C1000-012 test
Syllabus | C1000-012 test
Objectives
Number of questions: 60
Number of questions to pass: 44
Time allowed: 90 mins
Status: Live
Section 1 - Fundamentals of Artificial Intelligence (AI) Computing 27%
Define the main characteristics of an AI system.
Explain neural nets.
Explain Machine Learning technologies (supervised, unsupervised, reinforcement learning approaches).
Define a common set of use cases for AI systems.
Define Precision, Recall, and Accuracy
Explain the importance of separating training, validation and test data.
Measure accuracy of a Watson AI service.
Perform Domain Adaption using Watson Knowledge Studio (WKS).
Define Intents and Classes.
Identify the difference between the user question and the user intent.
Section 2 - Use Cases for Artificial Intelligence 15%
Select an appropriate combination of AI technologies based on use-case and data format.
Explain the uses of the Watson AI services in the Starter Kits.
Describe the Watson Conversational Agent.
Explain use cases for integrating external systems (such as Twitter, Weather API).
Describe the IBM Watson Discovery Service
Section 3 - Fundamentals of IBM Watson AI services 33%
Distinguish the Watson AI services on IBM Cloud for which training is required.
Provide examples of text classification using the NLC.
Explain the Watson SDKs available as part of the Watson AI services on IBM Cloud.
Explain the Watson REST APIs available as part of the Watson AI services on IBM Cloud.
Explain and configure the Natural Language Classification service.
Explain and configure the Visual Recognition service.
Explain how the Personality Insights service works.
Explain how the Tone Analyzer service works.
Explain and execute IBM Watson Natural Language Understanding service.
Explain, setup, configure and query the IBM Watson Discovery service.
Explain and configure the IBM Watson Assistant service
Section 4 - Developing AI applications using IBM Watson AI Services on IBM Cloud 22%
Call a Watson API to analyze content.
Describe the tasks required to implement the Conversational Agent / Digital Bot.
Transform service outputs for consumption by other services.
Define common design patterns for composing multiple Watson services together (across APIs).
Design and execute a use case driven service choreography (within an API).
Explain the process to provision and use an instance of an IBM Watson AI service instance on IBM Cloud.
Explain the advantages of using IBM Cloud as the cloud platform for AI application development and deployment.
Section 5 – Administration & DevOps for applications using IBM Watson AI services on IBM Cloud 3%
Describe the process of obtaining credentials for Watson AI services on IBM Cloud.
Examine application logs provided on IBM Cloud.
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