UiPath Updated UiPath-ADPv1 Exam Questions and Answers by cohen

The Connector Builder for Integration Service is a feature that enables the user to quickly add custom connectors to the tenant catalog in a no-code environment. The custom connectors can wrap any RESTful API and provide rich and scalable functionality on top of the original API1. The Connector Builder supports the following features:

REST APIs with JSON payload: The Connector Builder can connect to external systems that expose their API documentation as REST-compliant and both accept and return JSON2.

Various authentication types including OAuth 2.0 and API Key: The Connector Builder supports different types of authentication methods for the API calls, such as OAuth 2.0, Basic, Personal Access Token (PAT), API Key, etc3.

Building a connector from an API definition or from scratch: The Connector Builder allows the user to start building a connector from an existing API definition, such as a Swagger file, a Postman collection, or a URL, or from scratch by manually adding the API resources and methods4.

Option C is the correct answer, as it lists the features that the Connector Builder supports as defined in the documentation1. Option A is incorrect, because the Connector Builder does not support SOAP APIs or XML payloads, and it can build a connector from other sources besides a Swagger definition. Option B is incorrect, because the Connector Builder supports other authentication types besides OAuth 2.0 and Basic, and it can build a connector from other sources besides a Postman collection.Option D is incorrect, because the Connector Builder does not support SOAP APIs or XML payloads, and it supports other authentication types besides OAuth 2.0.

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.

In a UiPath State Machine, the Trigger section of a State activity is used to specify the condition or event that initiates a transition from the current state to another state.

The command in the UiPath installation folder that configures the UIPath.RemoteDebugging.Agent utility on a Windows robot to accept remote debugging requests from Studio is UiPath-RemoteDebugging.Agent.exe enable -port -password -verbose. This command enables the remote debugging agent on the robot machine and sets the port number and the password that are required for the connection. The verbose option enables the logging of the agent activity to the console. The remote debugging agent is a utility that allows you to debug workflows on a remote robot from Studio, byusing the Remote Debugging feature. This feature enables you to connect to a remote robot, run the workflow, and inspect the variables and arguments in real time. To use this feature, you need to install the remote debugging agent on the robot machine and configure it with the same port number and password that you use in Studio. References: [Remote Debugging] , [Remote Debugging Agent]