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Cisco 810-110 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: AI for Code and Workflow Optimization		- Automation workflows 1. API integration basics 2. Workflow orchestration concepts - AI-assisted software development 1. SDLC integration 2. Code generation and debugging
Topic 2: 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
Topic 3: AI for Data Research and Analysis		- Data exploration and transformation 1. Insight generation and validation 2. AI-assisted data cleaning
Topic 4: Generative AI Models	20%	- Model fundamentals and use cases 1. LLMs and diffusion models overview 2. Use cases: summarization, code generation, content creation - Model hosting and architecture 1. Latency, cost, privacy considerations 2. Cloud vs local deployment trade-offs - Context and retrieval systems 1. RAG, embeddings, vector databases 2. Context windows and token limits
Topic 5: Prompt Engineering	15%	- Prompt design principles 1. Roles, instructions, constraints - Prompting techniques 1. Chained and iterative prompting 2. Few-shot prompting - Security and robustness 1. Prompt injection risks 2. Mitigation and defensive prompting
Topic 6: Agentic AI Systems		- Agent architecture 1. Autonomous agents and orchestration 2. Multi-step reasoning workflows

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Cisco AI Technical Practitioner Sample Questions (Q62-Q67):

NEW QUESTION # 62
A practitioner is estimating the operational cost of integrating a cloud-hosted LLM API into an application. How does tokenization influence the cost of using this API?

A. The number of tokens determines the per-request cost.
B. Tokenization has no impact because pricing is based on a flat-rate subscription.
C. Tokenization increases cost by requiring additional GPU run time.
D. Costs are determined by the number of API calls.

Answer: A

Explanation:
Cloud-hosted LLM APIs commonly charge based on the number of input and output tokens processed, so tokenization directly affects the per-request cost.

NEW QUESTION # 63
A practitioner must reduce the financial cost of a high-volume summarization task. Which strategy addresses token-based billing?

A. increasing the model temperature
B. increasing the model sampling rate
C. expanding the total context window
D. minimizing the input prompt size

Answer: D

Explanation:
Token-based billing is driven by the number of input and output tokens processed, so reducing the prompt size lowers the total tokens consumed across high-volume summarization requests.

NEW QUESTION # 64
How does AI support exploratory data analysis when working with large, unstructured datasets?

A. by tuning inference parameters
B. by performing bit-by-bit reconstruction
C. by compressing the datasets
D. by identifying patterns and groupings

Answer: D

Explanation:
AI supports exploratory data analysis by detecting patterns, clusters, themes, and relationships in large unstructured datasets, helping practitioners understand the data before deeper analysis.

NEW QUESTION # 65
Which Cisco AI capability helps detect abnormal network behavior?

A. Manual packet counting
B. AI-driven anomaly detection
C. Static routing
D. BIOS recovery mode

Answer: B

Explanation:
AI systems can identify unusual patterns and potential threats automatically.

NEW QUESTION # 66
Which activity is an agentic AI use case compared to a standard generative AI use case?

A. generating a meeting summary
B. autonomously fixing a build
C. translating a short email
D. writing a poem about routing

Answer: B

Explanation:
Agentic AI can plan and execute multi-step actions toward a goal, such as diagnosing a failed build, applying a fix, running validation, and iterating until the build succeeds.

NEW QUESTION # 67
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