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

Last checked October 22, 2026 against the official Cisco exam page.

1. Question 1Generative AI models

   A support team wants a chatbot that answers in fluent language. Which model type is designed to generate new text by predicting the next token?

   1. AA k-means clustering model
   2. BA convolutional image classifier
   3. CA large language model (LLM)
   4. DA linear regression model
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   Correct answer: C

   Large language models are trained to predict the next token in sequences, which lets them generate fluent text. Regression and clustering models do not generate language, and image classifiers label pictures rather than write text.

2. Question 2AI ethics and security

   A bank deploys an AI model that influences loan decisions. Which practice best supports fair treatment of applicants?

   1. ARely on the model's own self-reported confidence score for each loan decision
   2. BEvaluate outcomes across demographic groups and document the results
   3. CKeep the scoring criteria undisclosed from internal and external auditors
   4. DRemove the model from human review once it is deployed to live production
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   Correct answer: B

   Measuring outcomes across groups and documenting them makes bias visible and auditable. Removing review, relying on self-reported confidence, and hiding criteria each weaken accountability.

3. Question 3Data research and analysis

   An analyst wants to know whether a dataset has a strong relationship between two numeric variables before building a model. Which technique is most appropriate first?

   1. AImage segmentation
   2. BPacket capturing
   3. CText-to-speech synthesis
   4. DCorrelation analysis
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   Correct answer: D

   Correlation analysis measures how strongly two numeric variables move together, which helps guide feature selection. The other techniques apply to images, audio, or network traffic.

4. Question 4Agentic AI

   An AI agent is given a goal of resolving a customer request. What distinguishes it from a simple chatbot?

   1. AIt can answer questions by matching replies against a fixed FAQ list
   2. BIt has no network connectivity and cannot reach external systems or databases
   3. CIt requires a human operator to approve and type each step in the chat window
   4. DIt can plan steps and call tools to take actions toward the goal
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   Correct answer: D

   An agent decides on a sequence of steps and invokes tools, such as look-ups or updates, to achieve a goal. A simple chatbot mainly answers messages, and agents can access external systems through approved tools.

5. Question 5Prompt engineering

   A prompt asks a model to classify customer feedback. Which prompt element most reliably improves consistency of the output?

   1. AA longer prompt with background detail and no examples or format
   2. BA random seed value chosen freshly for each sampling request
   3. CA clear instruction with an explicit output format and one or two examples
   4. DA prompt written entirely in uppercase letters and bold headings
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   Correct answer: C

   Explicit instructions, a defined output format, and a few examples narrow what a good answer looks like and make results easier to parse. Length alone, capital letters, and random seeds do not improve consistency.