UiPath-ADPv1 Autopilot Practice Question
Which THREE actions are essential to maintain governance when integrating Autopilot into a large-scale development team?
⚠ Common exam trap
Candidates often focus only on technical security measures like encryption, failing to recognize that governance requires a mix of policy enforcement, human oversight, and continuous training for the human developers.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Implement and strictly enforce data anonymization policies for all prompts.
Governance is paramount when utilizing generative AI in enterprise settings. By enforcing strict security policies, mandating human code review, and providing training on prompt engineering, organizations can mitigate the risks associated with AI-generated code. These steps ensure that the speed of AI is balanced with the rigor required for enterprise-grade software development, preventing unauthorized data leakage and ensuring that all automated processes adhere to the organization's high standards for quality, security, and stability.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Implement and strictly enforce data anonymization policies for all prompts.
Why this is correct
Data anonymization is the first line of defense against PII leakage. Enforcing this policy ensures that no sensitive organizational information enters the AI model. This is critical for enterprise compliance, especially in regulated industries where data privacy is governed by strict laws that prohibit the exposure of sensitive customer data.
- ✓
Require mandatory peer review for all workflows built using Autopilot.
Why this is correct
Peer review is a standard governance mechanism that becomes even more important when code is generated by AI. It ensures that the generated logic is scrutinized by a human, validating that it meets all business and security requirements, thereby catching potential issues before they reach a production or UAT environment.
- ✗
Allow developers to bypass security warnings if they are experienced.
Why it's wrong here
Security policies must be absolute, not optional based on experience. Bypassing warnings creates systemic vulnerabilities that can lead to data breaches or non-compliance. Governance frameworks rely on consistent application of rules; creating exceptions based on perceived seniority undermines the security posture and introduces unnecessary risk to the organization.
- ✓
Provide comprehensive training on prompt engineering and model limitations.
Why this is correct
Training is essential to ensure developers understand how to use the tool effectively and safely. By educating them on prompt engineering, the organization improves productivity while helping developers understand the limitations and risks of AI, ultimately leading to better, more reliable code and a more responsible use of the technology.
- ✗
Disable all logging of Autopilot usage to protect developer privacy.
Why it's wrong here
Logging is necessary for auditability and security monitoring. Disabling it prevents the organization from tracking how the tool is used, which is a major compliance failure. In case of a security incident, the lack of logs would make it impossible to conduct a proper forensic analysis of the events.
About these practice questions
This UiPath-ADPv1 question is part of Courseiva's 276-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →
JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official UiPath exam blueprint
This UiPath-ADPv1 practice question is part of Courseiva's free UiPath certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the UiPath-ADPv1 exam.