IBM watsonx Generative AI Sales Intermediate
C1000-185
Prepare for the IBM watsonx Generative AI Sales Intermediate certification exam
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Real Questions
1
Analyze and Design a Generative AI Solution 15%
1.1
Understand the five capabilities of GenAI/LLMs
1 subtopics1.1.1Core capabilities of Generative AI
Learning Objectives
- Identify and explain the five core capabilities of GenAI/LLMs
- Match capabilities to business requirements
1.2
Articulate the components in Gen AI Patterns
1 subtopics1.2.1GenAI architectural patterns
1.3
Understand the limitations of GenAI/LLMs
1 subtopics1.3.1Known limitations and challenges
1.4
Understand use cases and identify Gen AI application opportunities
1 subtopics1.4.1GenAI use case identification
1.5
Understand how to choose the appropriate model for a use case
1 subtopics1.5.1Model selection criteria
1.6
Articulate the optimal model architecture based on a use case
1 subtopics1.6.1Architecture optimization
1.7
Identify and apply various tools and techniques
1 subtopics1.7.1GenAI tools and frameworks
1.8
Understand security risks associated with LLMs
1 subtopics1.8.1Security and risk management
Domain Hands-on Skills
Solution architecture designModel selectionSecurity assessment
Common Mistakes to Avoid
- Ignoring model limitations
- Inadequate security considerations
- Wrong model selection
2
Prompt Engineering 16%
3
Fine-Tuning 31%
4
Retrieval-Augmented Generation (RAG) 17%
5
Deployment 13%
6