Cisco AI Technical Practitioner Sample Questions:
1. Which Cisco AI capability helps detect abnormal network behavior?
A) BIOS recovery mode
B) Static routing
C) Manual packet counting
D) AI-driven anomaly detection
2. A marketing team must generate high-fidelity images for a new product launch. Which model is designed to handle this task through the process of iterative noise reduction?
A) variational autoencoders
B) large language models
C) diffusion models
D) generative adversarial networks
3. 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) anonymizing or redacting PH from the dataset before transmitting the request
C) encrypting the data payload during transit to the AI service provider
D) ensuring the AI provider maintains industry-standard SOC 2 compliance
4. 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) Tokenization has no impact because pricing is based on a flat-rate subscription.
B) The number of tokens determines the per-request cost.
C) Costs are determined by the number of API calls.
D) Tokenization increases cost by requiring additional GPU run time.
5. 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) drift monitoring
C) injection mitigation
D) data lineage
Solutions:
Question # 1 Answer: D | Question # 2 Answer: C | Question # 3 Answer: B | Question # 4 Answer: B | Question # 5 Answer: A |
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