810-110 Exam Preparation: Cisco AI Technical Practitioner & 810-110 Practice Labs

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Cisco 810-110 Exam Syllabus Topics:

Section	Weight	Objectives
Ethics and Security	15%	- Responsible AI principles 1. Bias mitigation 2. Fairness, transparency, accountability - AI security threats 1. AI-specific attack surfaces 2. Misinformation and hallucinations - Data privacy and governance 1. Secure AI data handling
AI for Data Research and Analysis		- Data exploration and transformation 1. Insight generation and validation 2. AI-assisted data cleaning
AI for Code and Workflow Optimization		- AI-assisted software development 1. SDLC integration 2. Code generation and debugging - Automation workflows 1. Workflow orchestration concepts 2. API integration basics
Agentic AI Systems		- Agent architecture 1. Multi-step reasoning workflows 2. Autonomous agents and orchestration
Generative AI Models	20%	- Context and retrieval systems 1. RAG, embeddings, vector databases 2. Context windows and token limits - Model fundamentals and use cases 1. Use cases: summarization, code generation, content creation 2. LLMs and diffusion models overview - Model hosting and architecture 1. Latency, cost, privacy considerations 2. Cloud vs local deployment trade-offs
Prompt Engineering	15%	- Security and robustness 1. Prompt injection risks 2. Mitigation and defensive prompting - Prompt design principles 1. Roles, instructions, constraints - Prompting techniques 1. Chained and iterative prompting 2. Few-shot prompting

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Cisco AI Technical Practitioner Sample Questions (Q66-Q71):

NEW QUESTION # 66
What is an advantage of cloud-hosted API services when comparing cloud-hosted and locally hosted AI models?

A. full control over data residency and privacy
B. rapid elastic scaling for unpredictable inference demand
C. lower network latency for all end users
D. elimination of per-token operational costs

Answer: B

Explanation:
Cloud-hosted API services can scale inference capacity quickly based on demand, making them suitable for workloads with unpredictable or fluctuating usage.

NEW QUESTION # 67
Which AI-driven activity involves a developer providing runtime error logs to a model to receive an explanation of the root cause and a suggested fix?

A. continuous integration optimization
B. AI-assisted debugging
C. automated unit testing
D. code scaffolding

Answer: B

Explanation:
AI-assisted debugging uses error logs, stack traces, and runtime context to help identify the root cause of a failure and suggest a corrective fix.

NEW QUESTION # 68
How does context window management help control the cost of a long-running AI conversation?

A. by increasing the context window size to reduce the total number of API calls
B. by automatically switching to a lower-cost model as the conversation history grows
C. by capping the cumulative number of input tokens sent with each new prompt
D. by switching to an algorithm that reduces the character-to-token ratio

Answer: C

Explanation:
Context window management controls cost by limiting how much prior conversation history is included with each new request, reducing the number of input tokens processed and billed.

NEW QUESTION # 69
What is the benefit of AI Ops (AIOps) in networking?

A. Disables telemetry
B. Automates monitoring and incident analysis
C. Eliminates all routers
D. Removes cloud computing

Answer: B

Explanation:
AIOps uses AI to improve IT operations, detect anomalies, and accelerate troubleshooting.

NEW QUESTION # 70
Which AI model type is best suited for image recognition tasks?

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

Answer: B

Explanation:
CNNs are optimized for image and visual pattern recognition.

NEW QUESTION # 71
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