UiPath-ADPv1 UiPath (ADPv1) Automation Developer Professional Exam(2023.10) Free Practice Exam Questions (2025 Updated)

The purpose of credential stores in UiPath Orchestrator is to securely store sensitive data such as Robot credentials and Credential Assets for use in automation processes. Credential stores are external services that provide encryption and protection for sensitive data. Orchestrator can integrate with various credential stores, such as CyberArk, Azure Key Vault, and HashiCorp Vault, and use them to store and retrieve the credentials for the Robots and the Credential Assets. Credential Assets are global variables that can store passwords, usernames, API keys, and other confidential information. By using credential stores, the developer can ensure that the sensitive data is not exposed or compromised, and that the automation processes can access the data securely and efficiently. References: [Credential Stores], [Credential Assets]

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.

Comprehensive and Detailed Explanation: Remote Debugging is a feature of UiPath Studio that allows developers to run and debug automation projects on robots deployed to remote machines, including on Linux robots that can run cross-platform projects1. It enables developers to connect to the remote robot using either a remote machine connection or an unattended robot connection, and then use the Studio debugging tools to inspect the execution and troubleshoot any issues1. Remote Debugging uses a web-based interface that shows the UI elements and the data of the remote machine, as well as the breakpoints, variables, and output of the project2.

The other options are incorrect because:

Option A is incorrect because Remote Debugging is not limited by the involvement of Orchestrator queues and assets in the automation project. Remote Debugging can work with any project that can be executed by a robot on a remote machine, regardless of the Orchestrator entities used1.

Option B is incorrect because Remote Debugging does not enable developers to design new UI elements for the automation project. Remote Debugging is only used for testing and debugging existing projects, not for creating or modifying them1.

Option C is incorrect because Remote Debugging does not refer to the process of testing and debugging an automation project on the same machine where UiPath Studio is installed. That process is called Local Debugging, which is the default debugging mode in Studio3.

UiPath Integration Service is a component of the UiPath Platform that allows users to automate third-party applications using both UI and API integration. It has the following primary functions1:

Enables automation with a library of connectors: Connectors are pre-built API integrations that provide a consistent developer experience and simplify the integration process. Users can browse and import connectors from the Connector Catalog or the UiPath Marketplace, or create their own connectors using the Connector Builder (Preview).

Manages connections easily with standardized authentication: Users can create and manage secure connections to various applications using standardized authentication methods, such as OAuth 2.0, Basic, API Key, etc. Users can also share connections with other users, groups, or automations within the UiPath Platform.

Kicks off automations with server-side triggers or events: Users can trigger automations based on events from external applications, such as webhooks, email, or schedules. Users can also configure parameters and filters for the events to customize the automation logic.

Provides curated activities and events: Users can access a set of curated activities and events that are specific to each connector and application. These activities and events can be used in UiPath Studio or UiPath StudioX to design and execute automations.

Simplifies automation design: Users can leverage the UiPath Integration Service Designer to create and test integrations in a graphical interface. Users can also import common API formats, such as Swagger, YAML, or Postman collections, to generate connectors automatically.

To ensure the Queue Items are processed in the correct order, the Postpone property of the Add Queue Item activity should be used. The Postpone property allows you to specify the date and time after which the queue item can be processed. This property can be used to prioritize the queue items based on the order of the emails received. For example, if the email was received at 10:00 AM, the Postpone property can be set to 10:00 AM or later, so that the queue item will not be processed before that time. The Postpone property can be set to a DateTime value, a variable, or an expression that returns a DateTime value. For example, the following expression sets the Postpone property to the current date and time plus one hour:

VB DateTime.Now.AddHours(1)

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.

The use of job priorities in unattended automations within UiPath Orchestrator is to determine which processes should be executed first when dealing with multiple jobs. Job priorities are values that can be assigned to jobs or triggers when they are created or edited. The possible values are High, Normal, and Low. Job priorities affect the order in which the jobs are executed by the robots, with higher priority jobs being executed before lower priority jobs. Job priorities can help you to optimize the execution of your unattended automations, especially when you have limited resources or time-sensitive processes. You can also use job priorities to create job dependencies that must be completed before new job execution, by using the Start Job activity with the Wait for completion option and setting the priority of the child job to High. References: [Job Priority], [Start Job]

on the prerequisite for performing Remote Debugging using an Unattended Robot connection:

The prerequisite is that Studio and the remote robot must be connected to the same Orchestrator tenant. This ensures that Studio can communicate with the remote robot for debugging purposes. While having the same version and TCP/IP connectivity is beneficial, the key requirement for remote debugging is the connection to the same Orchestrator tenant.

A state machine is a type of automation that uses a finite number of states in its execution. It can go into a state when it is triggered by an activity, and it exits that state when another activity is triggered. Another important aspect of state machines are transitions, as they also enable you to add conditions based on which to jump from one state to another. These are represented by arrows or branches between states.

The Final State activity is a state machine specific activity that ends a state machine cycle. This activity contains an Entry area which holds the activities that are to be performed when the state is entered. A state machine must have one initial state and one or more final states.

The Final State activity should be used in the project when marking the successful completion or termination of a state machine’s execution. This means that the automation has reached its desired outcome or encountered an unrecoverable error, and no further actions are required. The Final State activity can also be used to perform some cleanup or logging activities before ending the state machine.

The other options are not circumstances when the Final State activity should be used in the project. Option A is incorrect, because an intermediary state can have multiple possible transitions, but it does not end the state machine cycle. Option B is incorrect, because a particular state can contain complex conditional logic, but it does not end the state machine cycle. Option C is incorrect, because the initial state is the first state of a state machine, not the final state.

The Extract PDF Page Range activity is used to extract a specific set of pages from a PDF file and save them as a new PDF file1. The activity has the following properties:

•Common

oDisplayName: The display name of the activity1.

•File

oFileName: The path of the PDF file you want to extract a range of pages from. This field supports only strings and String variables1.

oOutputFileName: The name you want to use for the file that is generated from the extracted range of pages. This field supports only strings and String variables1.

oPassword: The password of the PDF file, if necessary. This field supports only strings and String variables1.

•Input

oRange: The range of pages that you want to retrieve. You can specify a single page (e.g. “7”), a range of pages (e.g. “7-12”), or a complex range, (e.g. “2-5, 7, 15-End” or “All”). Only string variables and strings are supported. By default, this field is cleared1.

•Misc

oPrivate: If selected, the values of variables and arguments are no longer logged at Verbose level1.

The statement that correctly describes this activity is B. Range argument accepts complex range values or “All”. This statement is true because the Range property allows you to specify the pages that you want to extract from the PDF file using different formats, such as single pages, ranges, or complex ranges1. You can also use the keyword “All” to extract all the pages from the PDF file1.

The other statements are incorrect because:

•A. Password-protected PDF files cannot be processed with this activity. This statement is false because the activity has a Password property that allows you to enter the password of the PDF file, if necessary1. This enables the activity to process password-protected PDF files1.

•C. OutputFileName argument is optional. This statement is false because the OutputFileName property is required for the activity to work1. This property specifies the name of the file that is generated from the extracted range of pages1. If this property is not provided, the activity will throw an exception1.

•D. PageCount argument outputs the number of extracted pages. This statement is false because the activity does not have a PageCount argument1. The activity does not output the number of extracted pages, but only the new PDF file that contains the extracted pages1.

When expanding the functionality of a workflow to compute the sum of three numbers instead of two, and having to update the test data in an Excel file accordingly, you would generally need to:

Open the Excel file that contains the test data.

Add a new column for the third number (e.g., Number3).

Fill in the data for the new column with the appropriate values for the test cases.

Save the Excel file with the updated data.

Refresh or update the data source in the test case to reflect these changes.

This is because "Refresh Test Data" suggests that the test case will re-import or re-read the test data from its source, which in this case is the updated Excel file with the additional Number3 column. "Update Test Data" might also seem appropriate, but it typically refers to a scenario where you need to update the test case's reference to the data, not the structure of the data itself. "Add Test Data" and "Remove Test Data" are not appropriate as they imply adding a new data set or removing an existing one, rather than refreshing or updating the existing data set with the new column.

Mock Testing is a concept that allows you to isolate and replace the input part of an attended RPA process, without modifying the original workflow. Mock Testing enables you to create a mock file of your workflow by selecting Mock workflow under test in the Create Test Case window. This creates a copy of your workflow with the name workflowName_mock and stores it in Project > Mocks. This folder mirrors the source workflow file tree structure. In the mock file, you can use the Surround with mock option to insert a mock activity that replaces the original input activity. For example, instead of asking the user to input a specific token, you can use a mock activity that assigns a predefined token value to a variable. This way, you can test the specific function of the process without having to enter the token manually every time. Mock Testing is useful for tests that have permanent effects in production or require special resources1.

The other options are incorrect because:

Option A is incorrect because Application Testing is not a concept that can be used to isolate and replace the input part of an attended RPA process, without modifying the original workflow. Application Testing is a type of testing that focuses on verifying the functionality, usability, performance, and security of an application2.

Option B is incorrect because Data-Driven Testing is not a concept that can be used to isolate and replace the input part of an attended RPA process, without modifying the original workflow. Data-Driven Testing is a type of testing that uses external data sources, such as Excel files or databases, to provide input values and expected results for the test cases3.

Option D is incorrect because RPA Testing is not a concept that can be used to isolate and replace the input part of an attended RPA process, without modifying the original workflow. RPA Testing is a type of testing that involves using robots to automate the testing of other robots or applications.

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]

The Verbose logging level includes the following information by default:

Execution Started log entry - generated every time a process is started.

Execution Ended log entry - generated every time a process is finalized.

Transaction Started log entry - generated every time a transaction item is obtained by the robot from Orchestrator.

Transaction Ended log entry - generated every time the robot sets the transaction status to either Success or Failed.

Activity Information log entry - generated every time an activity is started, faulted or finished inside a workflow.

Arguments and Variables Information log entry - show values of the variables and arguments that are used.

The Verbose logging level is the most detailed one and it is useful for debugging purposes, as it provides a lot of information about the execution flow and the data used by the robot. However, it also generates a lot of log entries, which can affect the performance and the storage space of the robot and Orchestrator. References: [Logging Levels]

An Application Exception typically refers to errors arising from technical issues with applications, such as non-responsiveness or crashes. These exceptions are not related to the logic or data used by the application but are due to the application's functioning itself.

A mock file is a copy of a workflow file that is used for testing purposes, where some activities are replaced by mock activities that simulate the expected behavior1. A mock file can be created by selecting Mock workflow under test in the Create Test Case window2. The mock file is stored in the Project > Mocks folder, and it has the same name as the original workflow file, with the suffix “_mock” added2. For example, if the original workflow file is named “MySequence.xaml”, the mock file will be named “MySequence_mock.xaml”.

When a mock file is created, the changes made in the original workflow file are automatically applied to the mock file when the project is saved2. This means that any new activities or modifications in theoriginal workflow file are reflected in the mock file, except for the activities that are surrounded by mock activities2. The mock activities are not affected by the changes in the original workflow file, and they can only be edited within the mock file2.

Therefore, if you update “MySequence” and add a Log Message activity and a Verify Expression activity, and then save the project, the changes will be applied to the mock file, assuming that the file is closed. This means that the mock file will also have the Log Message activity and the Verify Expression activity added, unless they are inside a mock activity

A test case is a set of steps and expected results that verify a certain functionality or behavior of an automation. A test case can be created in UiPath Studio or UiPath Test Manager, and it can contain both manual and automated steps. A test case can be executed manually or automatically, depending on the type of steps it contains.

A test case follows the Given-When-Then structure, which is a common format for writing test scenarios. The Given section describes the preconditions or initial state of the system before the test is executed. The When section describes the actions or events that trigger the test. The Then section describes the expected outcomes or postconditions of the test.

The InitAllApplications TestCase is a test case that verifies the initialization of all the applications that are used in the automation project. It is usually created in UiPath Studio, using the Test Cases feature. The InitAllApplications TestCase can be linked to the InitAllApplications.xaml workflow, which is a component of the REFramework template that opens and logs in to all the applications that are required for the automation.

The pre-requisite for running the InitAllApplications TestCase is to invoke the InitAllSettings.xaml file in the Given section of the test case. The InitAllSettings.xaml workflow is another component of the REFramework template that reads the configuration data from the Config.xlsx file and initializes the settings and assets for the automation project. By invoking the InitAllSettings.xaml file in the Given section, the test case ensures that the settings and assets are available and ready before opening and logging in to the applications.

The other options are not pre-requisites for running the InitAllApplications TestCase. Option B is incorrect, because the SetTransactionStatus.xaml file is not related to the initialization of applications, but to the setting of the status of a queue item after processing it. Option C is incorrect, because the CloseAllApplications.xaml file is not related to the initialization of applications, but to the closing ofall the applications that were opened by the automation. Option D is incorrect, because the KillAllProcesses.xaml file is not related to the initialization of applications, but to the killing of all the processes that are associated with the automation.