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IBM C1000-185 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Prompt Engineering | 16% | - Prompt design and template creation - Prompt optimization and cost reduction - Prompt Lab usage and best practices - Prompting techniques: zero-shot, few-shot, chain-of-thought - Model parameters and hyperparameter tuning |
| Topic 2: Analyze and Design a Generative AI Solution | 15% | - Use case analysis and requirements definition - Evaluation metrics and success criteria - Generative AI and LLM capabilities - Model architecture and selection criteria |
| Topic 3: Integration and Orchestration | 8% | - Workflow orchestration with LangChain - API and SDK usage - Integration with external services |
| Topic 4: Model Customization and Fine-Tuning | 31% | - Data preparation and dataset creation - Fine-tuning concepts and approaches - Customization with InstructLab - Model quantization and optimization - Synthetic data generation - Parameter-Efficient Fine-Tuning (PEFT), LoRA |
| Topic 5: Retrieval-Augmented Generation (RAG) | 17% | - Integration with watsonx.data - Vector databases and similarity search - Embedding models and vector representations - RAG architecture and implementation |
| Topic 6: Deployment and Operationalization | 13% | - Model and prompt deployment - Monitoring and performance optimization - Deployment planning and architecture - Versioning and lifecycle management |
IBM watsonx Generative AI Engineer - Associate Sample Questions:
1. You are implementing a RAG system that uses vector embeddings to retrieve relevant information from a large corpus of documents. To store and efficiently query the vector embeddings, you need to choose a suitable vector database.
Which of the following is a key capability that a vector database must support to ensure efficient retrieval in this context?
A) The ability to store sparse vectors instead of dense vectors
B) Automatic generation of vector embeddings from raw text data
C) Built-in support for Approximate Nearest Neighbor (ANN) search algorithms
D) The ability to store and query data only in JSON format
2. In which scenario would using a soft prompt be more beneficial than a hard prompt in optimizing generative AI outputs?
A) When fine-tuning a pre-trained model for domain-specific tasks, allowing the system to adapt its understanding through learned embeddings.
B) When the prompt needs to be manually adjusted by the user in real time during interaction with the AI.
C) When the task requires explicit and consistent user instructions to ensure deterministic outcomes.
D) When the model needs to generate a strictly factual output with minimal deviation from the prompt.
3. When optimizing a model using soft prompts, which of the following is a potential advantage over hard prompts in the context of a generative AI application focused on creative content generation?
A) Soft prompts offer higher flexibility by dynamically adjusting the model's behavior based on pre-learned embeddings rather than relying on static instructions.
B) Soft prompts produce more deterministic outputs because they are optimized for a specific task through manual input adjustment.
C) Soft prompts are preferable in scenarios where the task requires rigid structure and adherence to specific predefined guidelines.
D) Soft prompts allow for more human oversight by embedding specific instructions into the model's generation process.
4. You are designing a generative AI model to generate detailed technical
A) Stop Sequence = '<END>', Max Tokens = 100
B) Max Tokens = 500: This provides enough space for a detailed technical
C) Stop Sequence = 'END', Max Tokens = 500
D) Stop Sequence = None, Max Tokens = 700
5. You are designing a prompt for a generative AI model in a customer support chatbot. The goal is to help users troubleshoot issues with a software installation.
Which of the following prompts would be the most effective for guiding the AI to deliver clear, actionable troubleshooting steps?
A) "Please list all the possible errors that occur during software installation."
B) "Tell the user what software installation is and how it works."
C) "Guide the user through troubleshooting software installation issues, starting from common problems like insufficient disk space and incompatible OS."
D) "Can you tell the user about software installation?"
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: A | Question # 3 Answer: A | Question # 4 Answer: C | Question # 5 Answer: C |
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