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Cisco AI Technical Practitioner Sample Questions (Q57-Q62):

NEW QUESTION # 57
What is the benefit of AI Ops (AIOps) in networking?

A. Eliminates all routers
B. Automates monitoring and incident analysis
C. Removes cloud computing
D. Disables telemetry

Answer: B

Explanation:
AIOps uses AI to improve IT operations, detect anomalies, and accelerate troubleshooting.

NEW QUESTION # 58
A practitioner uses self-consistency by running the same prompt three times and comparing the results. What is the goal of this strategy?

A. to bypass the context window
B. to verify the output reliability
C. to increase the response speed
D. to increase the model creativity

Answer: B

Explanation:
Self-consistency compares multiple responses to the same prompt to check whether the model produces stable, reliable results across repeated runs.

NEW QUESTION # 59
Which design principle helps prevent an autonomous agent from looping infinitely and wasting tokens?

A. using known patterns
B. using smaller contexts
C. implementing constraints
D. removing system prompts

Answer: C

Explanation:
Implementing constraints, such as maximum iteration limits, stop conditions, and execution boundaries, helps prevent an autonomous agent from repeatedly running actions without reaching a valid endpoint.

NEW QUESTION # 60
Why is a Human-in-the-Loop workflow essential when an AI agent has write access to a production database?

A. to provide administrative credentials required to bypass MFA requirements
B. to allow the AI agent to bypass the integrity constraints of the database
C. to allow the AI agent to automatically resolve transaction deadlocks
D. to serve as a safety gate against unintended data modifications

Answer: D

Explanation:
A Human-in-the-Loop workflow adds human approval before the agent performs high-risk write operations, helping prevent accidental, incorrect, or harmful changes to production data.

NEW QUESTION # 61
Which generative AI model family should be used for identifying and summarizing technical themes across thousands of unstructured network incident reports?

A. large language models
B. generative adversarial networks
C. variational autoencoders
D. diffusion models

Answer: A

Explanation:
Large language models are designed to process and generate natural language, making them suitable for identifying recurring technical themes and summarizing large volumes of unstructured incident reports.

NEW QUESTION # 62
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