UiPath-ADPv1 Exam Dumps : UiPath (ADPv1) Automation Developer Professional Exam (2023.10)

AI Computer Vision is a feature of UiPath that enables the automation of remote applications or desktops, such as Citrix Virtual Apps, Windows Remote Desktop, or VMware Horizon, by using native selectors. Native selectors are expressions that identify UI elements reliably and accurately, without relying on OCR or image recognition activities1. AI Computer Vision uses a mix of AI, OCR, text fuzzy-matching, and an anchoring system to visually locate elements on the screen and interact with them via UiPath Robots, simulating human interaction2. AI Computer Vision is especially useful for scenarios where the UI elements have low quality or scaling issues, which make them difficult to recognize with traditional methods3.

Option A is an accurate example of using AI Computer Vision features in a UiPath project, because it involves identifying and interacting with UI elements in a remote desktop application, which is one of the main use cases of AI Computer Vision. By using the Computer Vision activities, such as CV Screen Scope, CV Click, CV Get Text, etc., you can automate tasks in a remote desktop application without using selectors, OCR, or image recognition activities4.

The other options are not accurate examples of using AI Computer Vision features in a UiPath project, because they involve tasks that are not related to the automation of remote applications or desktops, or that do not use the Computer Vision activities. For example:

Option B involves training a custom machine learning model, which is not a feature of AI Computer Vision, but of the UiPath AI Fabric, a platform that enables you to deploy, consume, and improve machine learning models in UiPath.

Option C involves extracting plain text from a scanned PDF document, which is not a feature of AI Computer Vision, but of the UiPath Document Understanding, a framework that enables you to classify, extract, and validate data from various types of documents.

Option D involves performing sentiment analysis on a text string, which is not a feature of AI Computer Vision, but of the UiPath Text Analysis, a set of activities that enable you to analyze the sentiment, key phrases, and language of a text using pre-trained machine learning models.

The out_TransactionItem argument is an output argument of the GetTransactionData workflow, which is used to store the data of the current transaction item1. The REFramework is a template for creating robust and scalable automation projects that uses the State Machine workflow type2. The REFramework is designed for transactional processes, which are processes that handle multiple items of data in a loop3. However, it can also be adapted for linear processes, which are processes that execute a sequence of actions only once.

To use the REFramework for a linear process, the out_TransactionItem argument should be set to Nothing the first time when it enters the Get Transaction Data state. This will ensure that the processwill not enter the Get Transaction Data state again, as the condition for the transition from the Get Transaction Data state to the Process Transaction state is out_TransactionItem isNot Nothing1. Setting the out_TransactionItem argument to Nothing will also trigger the End Process state, which will perform the final actions and close the application1.

Option A is incorrect, because the process will enter the Get Transaction Data state even if it is a linear process, as it is the first state in the REFramework. Option B is incorrect, because there is no queue item in a linear process, as there is only one item of data to be processed. Option D is incorrect, because setting the out_TransactionItem argument to a static value will cause the process to enter the Get Transaction Data state repeatedly, as the condition for the transition will always be true.