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UiPath UiPath-ADPv1 Prüfungsplan:

Thema	Einzelheiten
Thema 1	Design and Development: This section covers designing workflows using sequences, flowcharts, and state machines, building reusable components with libraries, exception handling and debugging techniques, etc.
Thema 2	UiPath Activities: In this section, the discussion is related to various UiPath activities for UI interaction, data manipulation, control flow, and more.
Thema 3	Debugging and Testing: This section is about utilizing logging and debugging tools and adopting unit testing and test automation strategies.
Thema 4	UiPath Studio Fundamentals: In this section, the focus is given to the understanding of Robotic Process Automation (RPA) concepts; it covers UiPath Studio and its components, Working with the UiPath user interface, project creation, management, and version control.

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UiPath-ADPv1 PDF Demo - UiPath-ADPv1 Deutsch

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UiPath (ADPv1) Automation Developer Professional UiPath-ADPv1 Prüfungsfragen mit Lösungen (Q101-Q106):

101. Frage
Given the following workflow:

What will be the output of the Log Message activity?

A. "apple pear orange", "mango kiwi"
B. apple, pear, orange, mango, kiwi
C. apple pear orange, mango kiwi
D. apple, pear, orange

Antwort: B

102. Frage
Which of the following examples accurately demonstrates the correct usage of Al Computer Vision features in a UiPath project?

A. Employing Al Computer Vision to identify and interact with Ul elements in a remote desktop application with low quality or scaling issues.
B. Using Al Computer Vision to extract plain text from a scanned PDF document and store the output in a string variable.
C. Applying Al Computer Vision to perform sentiment analysis on a provided text string and displaying the result.
D. Utilizing Al Computer Vision to train a custom machine learning model to recognize specific patterns in data.

Antwort: A

Begründung:
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.
References:
1: Studio - About Selectors - UiPath Documentation Portal 2: AI Computer Vision - Introduction - UiPath Documentation Portal 3: The New UiPath AI Computer Vision Is Now in Public Preview 4: Activities - Computer Vision activities - UiPath Documentation Portal : [AI Fabric - Overview - UiPath Documentation Portal] : [Document Understanding - Overview - UiPath Documentation Portal] : [Text Analysis - UiPath Activities]

103. Frage
What happens when closing a Remote Debugging Connection while a debugging execution is in progress?

A. It is not possible to close the connection while debugging is in progress.
B. Debugging execution stops gracefully, then the connection is closed.
C. The remote robot continues the execution after Studio closes the connection.
D. Debugging execution ends in exception, then the connection is closed.

Antwort: B

Begründung:
When you close a remote debugging connection while a debugging execution is in progress, the execution is stopped gracefully on the remote robot and the connection is closed. This means that the robot will finish the current activity and then stop the execution, without throwing any exception or error. This is the recommended way to end a remote debugging session, as it ensures that the robot is in a consistent state and ready for the next execution. References: [Remote Debugging]

104. Frage
Which major sections can be added or modified in the State activity of a UiPath project that uses State Machines?

A. Entry actions. Exit actions, Trigger conditions, and Transitions.
B. Entry actions, Exit actions, Guard conditions, and Transitions.
C. Entry actions. Exit actions, Conditional expressions, and Transitions.
D. Entry actions, Exit actions, Guard and Trigger attributes, and Transitions.

Antwort: B

105. Frage
Which command in the UiPath installation folder configures the UIPath.RemoteDebugging.Agent utility on a Windows robot to accept remote debugging requests from Studio?

A. UiPath.RemoteDebuqqinq.Aqent.exe enable -port -username -password -verbose
B. UiPath-RemoteDebuqqinq.Aqent.exe enable -port -password -verbose
C. dotnet ./UiPath.RemoteDebuqqinq.Aqent.dll enable -port -password -verbose
D. UiPath.RemoteDebuqqinq.Aqent.exe start -port -password -verbose

Antwort: B

Begründung:
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, by using 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]

106. Frage
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