Cisco 810-110 - Cisco AI Technical Practitioner (AITECH) Exam

Question #1 (Topic: Exam A)
Why are embeddings essential to the retrieval phase of a RAG system?
A. They compress the prompt length. B. They provide a keyword index. C. They represent semantic meaning. D. They reduce model hallucination.
Answer: C
Question #2 (Topic: Exam A)
Which factor should be considered when selecting a pre-trained model for a mobile application with limited local computational resources?
A. training duration of the model B. parameter count of the model C. release frequency of the model D. response creativity level of the model
Answer: B
Question #3 (Topic: Exam A)
A practitioner must reduce the financial cost of a high-volume summarization task. Which strategy addresses token-based billing?
A. expanding the total context window B. increasing the model temperature C. increasing the model sampling rate D. minimizing the input prompt size
Answer: D
Question #4 (Topic: Exam A)
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. diffusion models B. generative adversarial networks C. variational autoencoders D. large language models
Answer: A
Question #5 (Topic: Exam A)
Which risk occurs when an AI model provides an outdated technical specification because it was trained before the new standard was released?
A. data poisoning B. knowledge cut-off C. disinformation D. misinformation
Answer: B
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