Cisco AI Technical Practitioner (AITECH 810-110) — Practice Test

Free practice questions for the Cisco AITECH 810-110 certification exam. Test your knowledge across all six exam domains before exam day.

What Is the Cisco AITECH 810-110 Exam?

The Cisco AI Technical Practitioner exam (AITECH 810-110) is a 60-minute certification exam that validates a candidate’s practical knowledge of artificial intelligence technologies in enterprise and professional contexts. It is the qualifying exam for the Cisco AI Technical Practitioner certification, one of Cisco’s newest credentials designed to meet the growing industry demand for AI-literate technical professionals.

The exam covers six core domains spanning the full spectrum of modern AI practice — from understanding how generative AI models work, to building prompts effectively, applying AI responsibly, analysing data, automating development workflows, and designing autonomous agentic AI systems.

There are no formal prerequisites for the AITECH exam, making it accessible to network engineers, developers, IT architects, and technical professionals who want to validate their AI knowledge with a recognised Cisco credential.

Who Should Take This Exam?

The AITECH 810-110 is designed for:

• Network and infrastructure engineers who work with AI-integrated systems and want to understand how AI fits into Cisco’s technology portfolio
• Software developers looking to formalise their knowledge of AI-assisted development, code generation, and workflow automation
• IT architects and consultants who need to evaluate and recommend AI tools and platforms for enterprise deployments
• Security professionals who need to understand AI-specific threats, prompt injection attacks, and responsible AI governance
• Anyone preparing for a career in AI who wants an industry-recognised entry-level certification from Cisco

The exam is particularly relevant in 2025 and 2026 as organisations accelerate AI adoption across every business function.

Exam Details at a Glance

The Six Exam Domains

The AITECH 810-110 exam is divided into six weighted domains. Understanding the weighting helps you prioritise your study time:

Domain 1 — Generative AI Models (20%)

This domain tests your understanding of how generative AI models work, the different model families available, and when to use each one. You will need to know the difference between Large Language Models (LLMs) used for text generation, and diffusion models used for image generation. Key topics include:

• Common use cases: text summarisation, content creation, code generation
• Cloud-hosted versus locally hosted models and the trade-offs around cost, latency, privacy, and scalability
• Context windows and token limits — what they are and how they affect response management
• Model selection from AI hubs and repositories for specific use cases such as reasoning and multimodality
• Retrieval Augmented Generation (RAG) — how it works, the role of embeddings, and how vector databases enable semantic search

This is one of the two highest-weighted domains at 20%, so understanding RAG, context windows, and model hosting trade-offs thoroughly is essential.

Domain 2 — Prompt Engineering (15%)

Effective prompt engineering is a core skill for anyone working with AI systems. This domain covers:

• Prompt engineering principles and patterns including roles, instructions, and constraints
• Prompting techniques: iterative/sequential prompting, chained prompting, and few-shot prompting
• Prompting for different output types including text, image, and audio generation
• Prompt injection attacks — what they are, how they work, and the different attack types
• Defensive prompting strategies and mitigation techniques for AI-generated errors including hallucinations

Domain 3 — Ethics and Security (15%)

As AI becomes embedded in business-critical systems, understanding responsible use is non-negotiable. This domain covers:

• Responsible AI principles: fairness, transparency, accountability, bias mitigation, and safety
• Approaches to protecting corporate data privacy and security when using AI systems
• AI-specific security threats and risks including misinformation and adversarial attacks
• AI governance considerations including policy frameworks, risk management, and regulatory compliance

Domain 4 — Data Research and Analysis (10%)

This domain addresses how AI accelerates and improves the data analysis process:

• AI’s role in Exploratory Data Analysis (EDA) — pattern detection, anomaly identification, and statistical summarisation
• Automated data preparation tasks including quality checks, formatting, transformation, and cleaning
• Ethical and privacy considerations when using AI to analyse data, including controls to prevent data exposure
• Techniques for AI-assisted research, ideation, and content drafting

Domain 5 — Development and Workflow Automation (20%)

Tied with Domain 1 as the highest-weighted area, this domain tests how AI integrates into the software development lifecycle:

• AI’s role across all SDLC phases: requirements, prototyping, implementation, testing, and deployment
• AI capabilities for code generation and rapid prototyping
• AI workflow design and monitoring principles
• How token usage and context window management affect prototyping cost, latency, and output quality
• How AI improves code quality through debugging assistance, error handling, and automatic documentation

Domain 6 — Agentic AI (20%)

Agentic AI is the cutting edge of the field and one of the most important emerging topics in enterprise AI. This domain covers:

• The difference between Agentic AI and standard Generative AI use cases
• AI agent design principles, autonomous capabilities, and orchestration
• The Model Context Protocol (MCP) framework — its primitives and how it enables agents to connect to external tools and services
• Human-in-the-loop (HITL) strategies and why human oversight matters in autonomous systems
• Data transformation and mapping within AI agent pipelines

How to Use These Practice Questions

This free practice test covers all six AITECH 810-110 exam domains. Here is how to get the most from it:

Select your domains. You can practise individual domains in isolation or mix questions from all six. If you have limited time, focus on Domains 1, 5, and 6 first — they account for 60% of the exam.

Use the timer. The real exam is 60 minutes. Enable the countdown timer to simulate exam conditions and identify whether time pressure affects your performance.

Review every explanation. Whether you answer correctly or not, read the explanation for each question. The explanations are written to teach the underlying concept, not just confirm the right answer.

Target 80%. The Cisco AITECH exam pass mark is 80%. Use your per-domain score breakdown on the results screen to identify which areas need more study before exam day.

Study Resources for the AITECH 810-110

To complement these practice questions, Cisco recommends the following preparation:

• Cisco AI Technical Practitioner (AITECH) official course — the primary preparation resource available through Cisco Learning Network and authorised training partners
• Cisco Learning Network at learningnetwork.cisco.com — community forums, study groups, and official exam topic breakdowns
• Cisco AI documentation and whitepapers — particularly material on Cisco’s AI portfolio, RAG implementations, and the Model Context Protocol
• Hands-on practice with AI tools including working with LLM APIs, building prompts, and experimenting with agentic frameworks

Frequently Asked Questions

Is this practice test free? Yes, completely free. No registration required.

How many questions are in the real AITECH exam? Cisco does not publish the exact question count, but the exam is 60 minutes long and covers multiple-choice questions across the six domains.

What is the pass mark for the AITECH 810-110? The passing score is 80%.

How often is this practice test updated? We update questions regularly to reflect the current exam blueprint. The current version covers the AITECH v1.0 objectives published by Cisco in 2025.

Does passing this practice test guarantee I will pass the real exam? No practice test can guarantee exam success. These questions are designed to reinforce your understanding of the exam objectives. We recommend combining practice testing with the official Cisco AITECH course and hands-on experience with AI tools.

Can I use this on mobile? Yes, the practice test is fully responsive and works on desktop, tablet, and mobile browsers.