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UiPath UiPath-ADPv1 Exam Syllabus Topics:

Topic	Details
Topic 1	Debugging and Testing: This section is about utilizing logging and debugging tools and adopting unit testing and test automation strategies.
Topic 2	UiPath Activities: In this section, the discussion is related to various UiPath activities for UI interaction, data manipulation, control flow, and more.
Topic 3	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.
Topic 4	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.

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UiPath-ADPv1 Updated CBT - UiPath-ADPv1 Pass Leader Dumps

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UiPath (ADPv1) Automation Developer Professional Sample Questions (Q56-Q61):

NEW QUESTION # 56
Given a dataiable "dt" with the following header:
"Surname. Address. Zip Code, Given Name, Phone Number.
What is the correct configuration of the Invoke Method activity so that the resulting header will be:
"Surname. Given Name. Address. Zip Code. Phone Number".

Answer: D

NEW QUESTION # 57
Which activity Is specific tor Ul synchronization in UlPath Studio?

A. Get Processes
B. Check App State
C. Process Start Trigger
D. Use Applicationy/Browser

Answer: B

Explanation:
The Check App State activity is specifically designed for UI synchronization. It checks the state of a UI element, ensuring that subsequent actions are performed when the UI element is in the desired state.

NEW QUESTION # 58
Which of the following examples accurately demonstrates the correct usage of Al Computer Vision features in a UiPath project?

A. Using Al Computer Vision to extract plain text from a scanned PDF document and store the output in a string variable.
B. Employing Al Computer Vision to identify and interact with Ul elements in a remote desktop application with low quality or scaling issues.
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.

Answer: B

Explanation:
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]

NEW QUESTION # 59
What happens when the area selection feature in the UiPath Computer Vision wizard is used?

A. A duplicated UI can be selected, and the copy is modified in the automation process.
B. The selected area is automatically resized to fit all UI elements within it.
C. A portion of the application UI can be selected, which is helpful when dealing with multiple fields bearing the same label.
D. The selected area is treated as a single UI element, with no further analysis of its contents.

Answer: C

Explanation:
The area selection feature in the UiPath Computer Vision wizard is used to indicate a specific region of the screen that you want to work with. It can be activated by clicking the Indicate on screen button in the CV Screen Scope activity or any other Computer Vision activity that requires a target element. The area selection feature allows you to draw a box around the desired area, and then choose an anchor for it. The anchor is a stable UI element that helps locate the target area at runtime.
The area selection feature is helpful when dealing with multiple fields bearing the same label, such as text boxes, check boxes, or radio buttons. In such cases, the Computer Vision engine may not be able to identify the correct field to interact with, or it may return ambiguous results. By using the area selection feature, you can narrow down the scope of the target element and avoid confusion.
The other options are not correct descriptions of the area selection feature. Option A is false, because the selected area is not treated as a single UI element, but as a region that contains one or more UI elements. The Computer Vision engine still analyzes the contents of the selected area and returns the best match for the target element. Option B is false, because the selected area is not automatically resized to fit all UI elements within it. The selected area remains fixed, unless you manually adjust it. Option C is false, because the area selection feature does not create a duplicate UI, nor does it modify the copy in the automation process. The area selection feature only selects a portion of the existing UI, and performs the specified action on it.
References: Using the Computer Vision activities - UiPath Documentation Portal, Computer Vision activities - UiPath Documentation Portal, Extract multiple words - AI Computer Vision - UiPath Community Forum, Computer Vision Recording - UiPath Community Forum

NEW QUESTION # 60
Which one of the following expressions Is the equivalent of the If activity from the picture?

A. message = lf(number mod 2 = 0 {"Odd number"} else {'Even number"})
B. message = lf(number mod 2 = 0. "Even number", "Odd number")
C. message = lf(number mod 2 = 0 then "Odd number" else "Even number")
D. message = lf(number mod 2 = 0. Odd number. Even number)

Answer: B

Explanation:
This expression evaluates if the number modulo 2 equals 0, which would mean it is even. If true, it assigns the string "Even number" to the variable message. If false (meaning the number is odd), it assigns "Odd number" to message

NEW QUESTION # 61
......

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