UiPath-ADPv1 Autopilot Practice Question
Exhibit
{
"AutopilotPolicy": {
"DataProcessing": "Anonymized",
"CodeGeneration": "Enabled",
"ContextAwareness": "ProjectLevel",
"Logging": "Verbose"
}
}Refer to the exhibit. Given the provided JSON configuration policy, what is the expected behavior when a developer invokes Autopilot to generate a workflow involving sensitive customer IDs?
⚠ Common exam trap
Candidates assume AI tools send raw unmasked data to the cloud, overlooking security governance configurations like 'Anonymized' that protect sensitive customer identifiers.
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
✓
Sensitive data is masked before being sent to the AI service.
The policy setting 'Anonymized' for 'DataProcessing' dictates that the model must strip or mask sensitive information before it reaches the cloud-based AI engine. This is a critical security control designed to prevent PII leakage while still allowing the model to learn context from the project structure. Developers must ensure that their local environment complies with these privacy constraints to maintain compliance with corporate data protection policies during the automation build process.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The model will fully process the sensitive data for improved context accuracy.
Why it's wrong here
The 'Anonymized' policy explicitly prevents the raw transmission of sensitive data. If the model were to process it fully, it would violate the configured security posture. This policy acts as a safety layer, ensuring that enterprise data remains secure despite being processed by an external generative AI engine.
- ✗
The request will be rejected, and code generation will be disabled.
Why it's wrong here
The policy shows 'CodeGeneration' is enabled. The anonymization process is designed to allow the feature to function while protecting the underlying data. Therefore, the system will not reject the prompt but rather apply the necessary security masking to ensure compliance before generating any requested workflow code or logic.
- ✓
Sensitive data is masked before being sent to the AI service.
Why this is correct
The configuration confirms the 'Anonymized' setting, which ensures that potentially sensitive information is sanitized before transmission. This allows the developer to leverage Autopilot's capabilities while adhering to data privacy standards. This mechanism is essential for enterprise adoption, where security and compliance are non-negotiable prerequisites for using generative AI.
- ✗
The system will generate code that includes hardcoded sensitive data for testing.
Why it's wrong here
Hardcoding sensitive data is a poor security practice and the anonymization policy is intended to prevent precisely this. The model will likely generate placeholders or generic variables instead of actual customer data. This ensures that the generated code is safe to share and deploy across different environments without risks.
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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.