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Simulation test system

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Cisco 810-110 Exam Syllabus Topics:

Section	Weight	Objectives
Prompt Engineering	15%	- Defensive prompting and error mitigation - Prompt design principles and best practices - Advanced prompting techniques
Agentic AI	15%	- Human-in-the-loop strategies - Model Context Protocol (MCP) framework - Agent design principles and capabilities - Agentic AI vs Generative AI use cases
Generative AI Models	20%	- Generative AI model families and use cases - Model hosting options and trade-offs - Model selection and evaluation in AI hubs - Context windows, token limits and response management
AI Ethics and Security	20%	- Data privacy and security in AI systems - AI-specific threats, risks and misinformation - Compliance and governance frameworks - Responsible AI principles
Data Research and Analysis	15%	- Data quality, bias and validation - Data visualization and insight generation - Data collection, preparation and preprocessing
AI for Code and Workflow Optimization	15%	- Integration of AI tools in development processes - AI-assisted code generation and improvement - Automation and workflow enhancement

Cisco AI Technical Practitioner Sample Questions:

1. Why is a Human-in-the-Loop requirement essential for AI governance in high-stakes environments like healthcare or finance?

A) to protect sensitive customer data
B) to prevent unauthorized access to data
C) to increase the speed of AI response
D) to ensure the validity of AI decisions

2. Why is a Human-in-the-Loop workflow essential when an AI agent has write access to a production database?

A) to allow the AI agent to bypass the integrity constraints of the database
B) to serve as a safety gate against unintended data modifications
C) to provide administrative credentials required to bypass MFA requirements
D) to allow the AI agent to automatically resolve transaction deadlocks

3. Which activity is an indirect prompt injection attack?

A) A prompt forces AI to ignore safety filters.
B) A user types a malicious command.
C) AI reads a poisoned data source.
D) The model generates a false fact.

4. Which threat involves an attacker intentionally contaminating the training set of a model to influence its future behavior?

A) algorithmic bias
B) data poisoning
C) gradient inversion
D) direct prompt injection

5. Which AI model type is best suited for image recognition tasks?

A) Convolutional Neural Network (CNN)
B) K-Means
C) Decision Tree only
D) Linear Regression

Solutions:

Question # 1
Answer: D

Question # 2
Answer: B

Question # 3
Answer: C

Question # 4
Answer: B

Question # 5
Answer: A