UiPath-ADPv1 Autopilot Practice Question
A developer uses Autopilot for Developers to create a workflow that reads an Excel file and filters rows. After generation, the developer must verify the result before committing it. Which two actions are appropriate parts of that verification? (Choose two.)
⚠ Common exam trap
The trap here is equating successful compilation with correct business logic, when generated workflows can compile and still filter the wrong data.
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
✓
Review the generated activities and property values to confirm they match the intended Excel range, sheet, and filter criteria.
Verification of a generated workflow combines code review of activities and properties with execution against representative data. Review confirms the model interpreted the requirement correctly, and a test run confirms runtime behavior. Assuming correctness, substituting an unrelated script, or testing directly in production all bypass meaningful verification.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Assume the generated workflow is correct because Autopilot validates syntax during generation and would not emit invalid activities.
Why it's wrong here
Syntax validity does not guarantee semantic correctness. Autopilot can produce compilable workflows that use the wrong column, sheet, or filter operator. Assuming correctness because the code compiles skips the verification the scenario requires and risks committing logic that runs but yields incorrect business results.
- ✓
Review the generated activities and property values to confirm they match the intended Excel range, sheet, and filter criteria.
Why this is correct
Inspecting the generated activities and their properties verifies that the model's interpretation aligns with the requirement. This catches mismatches such as a wrong sheet name, an incorrect range, or a filter applied to the wrong column. Combined with a test run, code review provides confidence before the workflow is accepted into the project.
- ✗
Publish the workflow to Orchestrator and schedule it immediately so that production data can reveal any filtering errors.
Why it's wrong here
Publishing and scheduling untested logic exposes production data and downstream systems to potential errors. Verification belongs in a controlled environment with representative samples, not in production. Using live execution as the test mechanism violates safe deployment practice and is not an appropriate part of reviewing a generated draft.
- ✗
Delete the generated Excel activities and replace them with a manually written script invoked through the Invoke Power Shell activity.
Why it's wrong here
Replacing generated activities with a PowerShell script is not a verification step and abandons the UiPath-native approach. It introduces a different execution context and maintenance burden without confirming whether the original generated logic was correct. Verification should assess the draft as generated, not substitute an unrelated implementation.
- ✓
Run the generated workflow against a representative sample file and confirm the filtered output matches expectations.
Why this is correct
Executing the draft with realistic data is the most direct way to confirm the generated filtering logic behaves correctly. Autopilot output can compile yet still misinterpret column names, data types, or filter conditions, so a test run against a representative sample surfaces such issues before the workflow is committed to the repository.
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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.