FREE PDF QUIZ UIPATH-ADPV1 - USEFUL NEW UIPATH (ADPV1) AUTOMATION DEVELOPER PROFESSIONAL EXAM PAPERS

Free PDF Quiz UiPath-ADPv1 - Useful New UiPath (ADPv1) Automation Developer Professional Exam Papers

Free PDF Quiz UiPath-ADPv1 - Useful New UiPath (ADPv1) Automation Developer Professional Exam Papers

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UiPath (ADPv1) Automation Developer Professional Sample Questions (Q34-Q39):

NEW QUESTION # 34
How should the computation of the signature be done for client apps that receive Orchestrator requests and need to check their authenticity?
Instructions: Drag the Description found on the left and drop on the correct Step Sequence found on the right.

Answer:

Explanation:


NEW QUESTION # 35
What is the output type returned when using a Get Test Data Queue Item activity?

  • A. Dictionary
  • B. Object
  • C. Queueltem

Answer: C


NEW QUESTION # 36
Which are the actions that can be done in Test Explorer?

  • A. Export test data, group tests together, analyze activity coverage.
  • B. Export test data, perform debugging, analyze activity coverage.
  • C. Perform debugging, analyze activity coverage, group tests together.
  • D. Export test results, group tests together, analyze activity coverage.

Answer: D

Explanation:
Test Explorer is a panel that shows information relevant to test automation in UiPath Studio. You can use Test Explorer and its sub-panels to perform various actions, such as1:
Export test results: You can export the test results shown in the Test Results panel to a JSON or HTML file, which can be used for further analysis or reporting.
Group tests together: You can group tests together based on different criteria, such as test type, test status, test suite, etc. This helps you organize and filter the tests in the Test Explorer panel.
Analyze activity coverage: You can analyze the activity coverage of your test cases by using the Activity Coverage panel, which shows the percentage of activities that have been executed during the test run. You can also filter the activities by covered or uncovered in the Designer panel.
The other options are not actions that can be done in Test Explorer, because they either involve features that are not part of Test Explorer, or they are not related to test automation. For example:
Option A is incorrect, because Test Explorer does not have a feature to export test data, but only test results. Test data can be generated or managed by using other activities, such as Generate Test Data or Test Data Queue.
Option B is incorrect, because Test Explorer does not have a feature to perform debugging, but only to run or retry tests. Debugging can be done by using the Debug tab in Studio, which allows you to set breakpoints, inspect variables, and step through the workflow.
Option D is incorrect, because Test Explorer does not have a feature to export test data, but only test results. Test data can be generated or managed by using other activities, such as Generate Test Data or Test Data Queue.
References:
1: Studio - Test Explorer - UiPath Documentation Portal


NEW QUESTION # 37
Which of the following examples accurately demonstrates the correct usage of Al Computer Vision features in a UiPath project?

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

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 # 38
On 10/04/2023 five Queue Items were added to a queue. What is the appropriate processing sequence for Queue Items based on their properties?
Instructions: Drag the Queue Item found on the "Left" and drop on the correct Process Sequence found on the
"Right".

Answer:

Explanation:

Explanation:
The processing sequence for queue items in UiPath Orchestrator is determined primarily by the deadline and priority of each item. Items with an earlier deadline are processed first. If multiple items have the same deadline, then priority determines the order: High, Normal, then Low.
Following this logic, the processing sequence would be:
1st: Deadline = 10/04/2023 Priority = LowSince this is the only item with the deadline of the current day (assuming today is 10/04/2023), it should be processed first regardless of its priority.
2nd: No deadline Priority = HighAlthough this item has no deadline, its high priority places it next in the sequence after items with a deadline for the current day.
3rd: Deadline = 10/05/2023 Priority = HighThis item is next due to its combination of an imminent deadline and high priority.
4th: Deadline = 10/05/2023 Priority = NormalThis item has the same deadline as the third but a lower priority, so it comes next.
5th: Deadline = 10/06/2023 Priority = HighThis item, while high priority, has the latest deadline, so it is processed last.
So the order would be:
1st: Deadline = 10/04/2023 Priority = Low2nd: No deadline Priority = High3rd: Deadline = 10/05/2023 Priority = High4th: Deadline = 10/05/2023 Priority = Normal5th: Deadline = 10/06/2023 Priority = High


NEW QUESTION # 39
......

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