Pass your actual test at first attempt with Cisco 810-110 training material
Updated: Sep 04, 2026
No. of Questions: 73 Questions & Answers with Testing Engine
Download Limit: Unlimited
Exam-Killer 810-110 updated and latest training material covers the main exam objectives of the actual test, which can ensure you pass easily. Free update for one year of 810-110 training material is available after purchase. Besides, our 810-110 test engine can simulate the actual test environment for better preparation.
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| Certification Vendor: | Cisco |
|---|---|
| Exam Name: | Cisco AI Technical Practitioner v1.0 (AITECH) |
| Exam Number: | 810-110 |
| Certificate Validity Period: | 3 years |
| Exam Price: | USD 150 |
| Real Exam Qty: | 40 |
| Passing Score: | Pass/Fail |
| Exam Duration: | 60 minutes |
| Exam Format: | Multiple Choice |
| Available Languages: | English |
| Recommended Training: | Cisco AI Technical Practitioner Training |
| Exam Registration: | Cisco Official Exam Page |
| Sample Questions: | Cisco 810-110 Sample Questions |
| Exam Way: | Online proctored or at authorized test centers |
| Pre Condition: | No formal prerequisites |
| Official Syllabus URL: | https://learningcontent.cisco.com/documents/marketing/exam-topics/810-110-AITECH-v1.0.pdf |
| Section | Weight | Objectives |
|---|---|---|
| Agentic AI | 15% | - Model Context Protocol (MCP) framework - Agent design principles and capabilities - Agentic AI vs Generative AI use cases - Human-in-the-loop strategies |
| Prompt Engineering | 15% | - Advanced prompting techniques - Defensive prompting and error mitigation - Prompt design principles and best practices |
| Data Research and Analysis | 15% | - Data quality, bias and validation - Data collection, preparation and preprocessing - Data visualization and insight generation |
| AI for Code and Workflow Optimization | 15% | - Automation and workflow enhancement - AI-assisted code generation and improvement - Integration of AI tools in development processes |
| AI Ethics and Security | 20% | - Compliance and governance frameworks - AI-specific threats, risks and misinformation - Data privacy and security in AI systems - Responsible AI principles |
| Generative AI Models | 20% | - Model hosting options and trade-offs - Model selection and evaluation in AI hubs - Generative AI model families and use cases - Context windows, token limits and response management |
Question 1
Which approach protects PII when utilizing a public AI service for data analysis?
A. utilizing system prompts to instruct the AI to ignore sensitive data fields
B. ensuring the AI provider maintains industry-standard SOC 2 compliance
C. encrypting the data payload during transit to the AI service provider
D. anonymizing or redacting PH from the dataset before transmitting the request
Question 2
What is fine-tuning in generative AI?
A. Training a pre-trained model on specialized data
B. Replacing CPUs
C. Formatting storage drives
D. Encrypting prompts
Question 3
Which AI-assisted task standardizes inconsistent date formats (e.g., MM/DD/YY and DD-MM- YYYY)?
A. data correlation
B. data transformation
C. thematic summarization
D. data visualization
Question 4
What is the role of the client in the Model Context Protocol?
A. to orchestrate interactions with servers
B. to act as an LLM for inferencing
C. to act as a tool or service provider
D. to provide resources for task execution
Question 5
What is occurring when an agent converts a CSV list into a Markdown table for a final report?
A. data transformation
B. data quantization
C. data filtering
D. data classification
Solutions:
| Question 1 Answer: D | Question 2 Answer: A | Question 3 Answer: B | Question 4 Answer: A | Question 5 Answer: A |
Exam-Killer exam questions are exactly the same as the actual exam.
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Definitely I passed this 810-110 exam.
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Valid 810-110 real exam questions from Exam-Killer.
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