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Cisco 810-110 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: AI for Data Research and Analysis		- Data exploration and transformation 1. Insight generation and validation 2. AI-assisted data cleaning
Topic 2: Ethics and Security	15%	- Responsible AI principles 1. Bias mitigation 2. Fairness, transparency, accountability - Data privacy and governance 1. Secure AI data handling - AI security threats 1. Misinformation and hallucinations 2. AI-specific attack surfaces
Topic 3: 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 4: Generative AI Models	20%	- Model hosting and architecture 1. Cloud vs local deployment trade-offs 2. Latency, cost, privacy considerations - Model fundamentals and use cases 1. LLMs and diffusion models overview 2. Use cases: summarization, code generation, content creation - Context and retrieval systems 1. RAG, embeddings, vector databases 2. Context windows and token limits
Topic 5: Agentic AI Systems		- Agent architecture 1. Multi-step reasoning workflows 2. Autonomous agents and orchestration
Topic 6: Prompt Engineering	15%	- Prompting techniques 1. Chained and iterative prompting 2. Few-shot prompting - Prompt design principles 1. Roles, instructions, constraints - Security and robustness 1. Prompt injection risks 2. Mitigation and defensive prompting

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Cisco AI Technical Practitioner Sample Questions (Q46-Q51):

NEW QUESTION # 46
Which concept helps reduce overfitting in machine learning?

A. Regularization
B. Disabling validation
C. Increasing random noise only
D. Ignoring datasets

Answer: A

Explanation:
Regularization techniques help models generalize better and avoid memorizing training data.

NEW QUESTION # 47
What is a corporate data privacy risk when using a public AI chatbot?

A. The data will be encrypted at rest instead of in transit.
B. The AI will provide hallucinated technical specifications.
C. The AI will provide biased technical advice.
D. The input data may be used for model training.

Answer: D

Explanation:
A public AI chatbot may retain submitted corporate data or use it to improve model training, which can expose confidential, proprietary, or regulated information outside the organization's control.

NEW QUESTION # 48
Which workflow mechanism is being used when a company implements a policy where an AI agent can draft a customer email, but a human must authorize the transmission?

A. approval gate
B. injection mitigation
C. data lineage
D. drift monitoring

Answer: A

Explanation:
An approval gate requires human authorization before a high-impact or externally visible action is executed, such as sending an AI-drafted customer email.

NEW QUESTION # 49
What is fine-tuning in generative AI?

A. Formatting storage drives
B. Training a pre-trained model on specialized data
C. Encrypting prompts
D. Replacing CPUs

Answer: B

Explanation:
Fine-tuning adapts a general AI model to specific domains or business use cases.

NEW QUESTION # 50
Which strategy should be used to mitigate hallucinations when asking an AI to summarize a specific technical document?

A. requesting citations for the summary
B. using a short system prompt
C. increasing the model creativity
D. removing negative constraints

Answer: A

Explanation:
Requesting citations grounds the summary in the provided technical document and makes the model support its claims with specific source references, reducing the chance of unsupported or fabricated content.

NEW QUESTION # 51
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