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>> UiPath-ADPv1 Practice Questions <<
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NEW QUESTION # 152
A developer plans to build an automation process using the REFramework with Orchestrator queues. Based on UiPath best practice, what is the recommended sequence of steps to update the template and create/update Queues and Values?
Instructions: Drag the Description found on the left and drop on the correct Step Sequence found on the right.
Answer:
Explanation:
Explanation:
A screenshot of a computer program Description automatically generated
To align with UiPath's best practices when updating the REFramework template for use with Orchestrator queues, the sequence of steps should ensure proper setup of the queues in Orchestrator, configuration of the project to interact with these queues, and implementation of the business logic to process items from the queues.
Here's how the steps should be sequenced:
Step 1: Create the queue in Orchestrator and set its Auto Retry value as required by the process documentation.This step ensures that the queue is available in Orchestrator with the correct settings before the automation attempts to interact with it.
Step 2: Edit the project's configuration file (Data/Config.xlsx) and configure parameters OrchestratorQueueName and OrchestratorQueueFolder.Once the queue is created, the next step is to ensure that the automation project is configured to reference the correct queue and folder within Orchestrator.
Step 3: Edit GetTransactionData.xaml workflow and assign a proper value for the out_TransactionID argument.This configuration allows the workflow to correctly fetch transaction items from the Orchestrator queue for processing.
Step 4: Edit workflow Process.xaml and implement the logic to process each TransactionItem.Finally, the core processing logic that operates on each queue item is implemented, allowing the automation to perform the necessary actions for each transaction.
NEW QUESTION # 153
What are the four job types present in the Job Type field according to the place of execution and robot impersonation?
Answer: C
Explanation:
In UiPath, the four job types according to the place of execution and robot impersonation are Foreground unattended, Background unattended, Attended, and Development. These job types differentiate the automation tasks based on whether they require user interaction (Attended), can run in the background without user intervention (Background unattended), are designed for development and testing purposes (Development), or are unattended tasks that require a virtual environment (Foreground unattended).References:
UiPath Orchestrator Guide: Job Types
NEW QUESTION # 154
What is the default priority value for the Job Priority field in UiPath Orchestrator when starting a job manually?
Answer: C
Explanation:
When starting a job manually in UiPath Orchestrator, the default priority value for the Job Priority field is Inherited. This means that the job inherits the priority value that was set at the process level when the package was deployed. The possible priority values are High, Normal, and Low. The priority value determines the order in which the jobs are executed by the robots, with higher priority jobs being executed first. The priority value can be changed manually when starting a job, or it can be set dynamically using the Start Job activity in a workflow. References: [Starting a Job], [Job Priority]
NEW QUESTION # 155
A developer examines a workflow in which filenames are stored within a collection. The collection is initialized with a single filename. When adding a new filename to the collection, which collection variable type will cause an error?
Answer: A
Explanation:
The collection variable type that will cause an error when adding a new filename to the collection is System.Array. This is because System.Array is a fixed-size collection that cannot be resized or modified once it is initialized. Therefore, if the collection is initialized with a single filename, it cannot accommodate any more filenames. To add a new filename to the collection, the developer should use a dynamic collection type, such as System.Collections.Generic.List or System.Data.DataTable, that can grow or shrink as needed.
Alternatively, the developer can use System.Collections.Generic.Dictionary if the filenames need to be associated with some keys or values. References: [Array Class], [Collection Classes]
NEW QUESTION # 156
Which of the following examples accurately demonstrates the correct usage of Al Computer Vision features in a UiPath project?
Answer: D
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 # 157
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