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Cisco 810-110 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI for Code and Workflow Optimization | - Workflow automation
| |
| Topic 2: AI Ethics and Security | - Security threats and mitigations
| |
| Topic 3: Prompt Engineering | 15% | - Security and safety
|
| Topic 4: Agentic AI | 20% | - Model Context Protocol (MCP)
|
| Topic 5: Generative AI Models | 20% | - Context windows and token management
|
| Topic 6: Data Research and Analysis | - Data analysis techniques
|
Cisco AI Technical Practitioner Sample Questions:
Question 1
What is the primary goal of Retrieval-Augmented Generation (RAG) in AI systems?
A. Encrypt AI datasets
B. Reduce GPU usage only
C. Replace neural networks
D. Improve model responses with external knowledge
Question 2
Which threat involves an attacker intentionally contaminating the training set of a model to influence its future behavior?
A. algorithmic bias
B. gradient inversion
C. direct prompt injection
D. data poisoning
Question 3
What is fine-tuning in generative AI?
A. Encrypting prompts
B. Formatting storage drives
C. Training a pre-trained model on specialized data
D. Replacing CPUs
Question 4
What is the role of embeddings in AI systems?
A. Assigning IP addresses
B. Encrypting traffic
C. Representing data numerically in vector space
D. Compressing logs
Question 5
What happens when the input provided to an LLM exceeds its context window limit?
A. The model loses the earliest part of the text.
B. The model caches the overflow data.
C. The model increases its context window size.
D. The model switches to a different algorithm.
Solutions:
| Question 1 Answer: D | Question 2 Answer: D | Question 3 Answer: C | Question 4 Answer: C | Question 5 Answer: A |
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