UiPath-ADPv1 Advanced UI Automation Practice Question
A developer is automating a web application that uses a complex JavaScript framework. Standard UI Automation activities sometimes fail to detect elements, and the developer is considering using UiPath Computer Vision activities. Which two factors should the developer evaluate before deciding to use Computer Vision? (Choose two.)
⚠ Common exam trap
The trap here is assuming that Computer Vision requires UI Automation exposure or is limited to remote environments, when in fact it is a visual technology with its own prerequisites.
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
✓
The screen resolution and scaling must be consistent across all machines where the automation runs.
Before adopting Computer Vision, the developer must evaluate screen resolution and scaling consistency, because CV depends on visual recognition, and must ensure the CV service has an API key and internet connectivity, as it is cloud-based. These two factors directly affect whether CV can function reliably and are prerequisites for its use.
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 screen resolution and scaling must be consistent across all machines where the automation runs.
Why this is correct
Computer Vision relies on image recognition and OCR, so variations in screen resolution or scaling can cause elements to be misidentified or not found. Consistent resolution and scaling are critical for reliable CV automation. If the automation runs on machines with different display settings, the CV models may fail. Therefore, this is a key factor to evaluate before adopting CV.
- ✗
The application's UI elements must be exposed through the Microsoft UI Automation framework for CV to detect them.
Why it's wrong here
Computer Vision does not rely on the UI Automation framework; it uses visual recognition instead. In fact, CV is often used precisely when UI Automation fails because elements are not exposed. Requiring UI Automation exposure would contradict the purpose of CV. This factor is incorrect and would prevent the use of CV in scenarios where it is most needed.
- ✗
The application must be running on a remote desktop or Citrix environment for CV to work.
Why it's wrong here
Computer Vision works in any environment, including local desktops, web applications, and remote sessions. It is not limited to remote desktop or Citrix. While it is often used in such environments because of accessibility limitations, it is not a requirement. This factor is incorrect and would unnecessarily restrict the use of CV.
- ✓
The UiPath Computer Vision service requires an API key and internet connectivity to the UiPath cloud.
Why this is correct
UiPath Computer Vision activities use a cloud-based service that requires a valid API key and internet connectivity to function. Without it, CV activities cannot process images or return element descriptors. Therefore, the developer must ensure that the automation environment has the necessary connectivity and licensing. This is a critical prerequisite for using CV.
- ✗
The developer must disable all other UI Automation activities and use only CV activities in the workflow.
Why it's wrong here
Computer Vision activities can be used alongside standard UI Automation activities. There is no requirement to disable other activities; in fact, a hybrid approach is often best. CV can be used for specific elements while standard activities handle others. This factor is incorrect and would unnecessarily limit the automation design.
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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
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