Free Practice Questions for UiPath UiPath-ADPv1 Exam

LINQ stands for Language-Integrated Query, which is a set of features that allows you to query data from different sources using a common syntax1. In UiPath, you can use LINQ to query data from collections, such as lists, arrays, or dictionaries, or from data tables, such as Excel or CSV files2.

Option D is an accurate example of using LINQ for querying data in a UiPath process, because it uses the Where method to filter a list of strings based on a condition, and returns the result as a new list. The condition is that the string must be equal to “UiPath”, which is specified by the lambda expression Function(x) x = "UiPath". The ToList method converts the query result into a list type3.

The other options are not accurate examples of using LINQ for querying data in a UiPath process, because they either use methods that are not part of LINQ, or use LINQ for purposes other than querying data. For example:

Option A uses a custom method FindDuplicates, which is not a standard LINQ method, and does not specify a lambda expression to define the query criteria4.

Option B uses LINQ to sort data table rows, which is not a querying operation, and does not use the Field method to access the column values5.

Option C uses the Merge method, which is a data table method, not a LINQ method, and does not use any query expression at all.

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 andtesting purposes (Development), or are unattended tasks that require a virtual environment (Foreground unattended).References:

UiPath Orchestrator Guide: Job Types

When creating a new test case in UiPath Studio, you can configure a data source that can be imported through arguments and used when running the test case. You can choose from different options for the data source, such as File, Data Service, Test Data Queue, and Auto Generate. Each option has different implications for how the test data is updated in UiPath Orchestrator once the test case is published.

The option that restricts dynamic data update in UiPath Orchestrator once the test case is published is File. This option allows you to use Excel and CSV files as data sources for your test cases. When you import a file as a data source, a JSON file is created in the Test Data folder of your project, which contains the test data values. When you publish the test case, the JSON file is also published and stored in Orchestrator. The test data values are not updated dynamically in Orchestrator, unless you manuallyupdate the test data by choosing the Update Test Data option in Studio or Test Explorer. This option is useful when you want to use static or predefined test data that does not change frequently.

The other options do not restrict dynamic data update in UiPath Orchestrator once the test case is published. Option A, Test Data Queue, allows you to use a queue in Orchestrator as a data source for your test cases. You need to configure a JSON schema and add a test data queue in Orchestrator before using this option. The test data values are updated dynamically in Orchestrator, as the queue items are processed by the test case. This option is useful when you want to use queue items as test data and track their status and progress. Option B, Data Service with Filter, allows you to use Data Service entities as data sources for your test cases. Data Service is a feature of Automation Cloud that lets you create and manage data entities and relationships. You need to select an entity and apply a filter using the Query Builder before using this option. The test data values are updated dynamically in Orchestrator, as the entity records are modified by the test case or other processes. This option is useful when you want to use data entities as test data and perform CRUD operations on them. Option D, Auto Generate, allows you to use test data that is automatically generated by UiPath Studio to cover as many paths as possible during execution. You need to select a test data generation strategy and a number of test data sets before using this option. The test data values are updated dynamically in Orchestrator, as the test case is executed with different data sets. This option is useful when you want to use random or diverse test data that can increase the test coverage and quality.

The correct option about a State Machine layout is that it can have only one initial state and multiple final states. A State Machine is a type of workflow that consists of a set of states, transitions, and triggers. A state represents a stage of the process, a transition represents a change from one state to another, and a trigger represents a condition or an event that activates a transition. A State Machine can have only one initial state, which is the starting point of the workflow, and one or more final states,which are the end points of the workflow. A State Machine can also have intermediate states, which are the states between the initial and the final states. A State Machine can have multiple paths and branches, depending on the logic and the triggers of the workflow.

The UiPath Remote Runtime component is a component 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. The UiPath Remote Runtime component works as follows:

It is installed on the remote server where the applications or desktops are hosted.

It communicates with the dedicated UiPath extension that is installed on the client machine where Studio or Robot is installed.

It gathers information about the targeted UI elements of the remote applications and sends them to the corresponding extension.

It allows the extension to generate native selectors for the remote UI elements in UIExplorer, a tool that helps you create and edit selectors2.

The UiPath Remote Runtime component is required for automating in virtual environments, as it provides a bridge between the remote server and the client machine, and enables the use of native selectors, which are more reliable and efficient than OCR or image recognition activities3.

To use UI Automation activities in a scenario where the destination remote computer is reached by jumping through multiple RDP connections, the following prerequisites are required:

Machine A - install the RDP extension. This extension enables the robot to generate native selectors over RDP connections and interact with the UI elements on the remote machines.

Machine B - install the RDP extension and the RemoteRuntime.msi. The RDP extension allows the robot to connect to Machine C from Machine B, while the RemoteRuntime component enables the communication between the robot and the UI elements on Machine B.

Machine C - install the RemoteRuntime.msi. This component enables the communication between the robot and the UI elements on Machine C, where the automation must be performed. References: [Remote Runtime Architecture], [Multiple RDP Connections], [UiPath Extension for Microsoft Remote Desktop and Apps]

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]

Orchestrator alerts are real-time notifications related to robots, queue items, triggers, and more. Alerts can have one of the following severity levels, which indicate the importance and impact of the events1:

Info - notifies you about low importance events, that do not interrupt the process execution, such as robots becoming available, users being assigned as reviewers, etc.

Success - notifies you about a successful status, such as a job being completed, a queue item being processed, etc.

Warn - notifies you about possible risky events that may interrupt your process execution, but any interruption can be recovered, such as queue items failing with business exceptions, triggers not being able to create new jobs, etc.

Error - notifies you about imminent risky events that prevent the process from executing successfully, such as jobs failing, robots not responding, queue items failing with application exceptions, etc.

Fatal - notifies you about events that force-stop the process execution, such as robots going offline or being disconnected, etc.

Option A is the correct answer, as it lists the five severity levels of Orchestrator alerts as defined in the documentation1. Option B is incorrect, because there is no Critical severity level, but rather Fatal. Option C is incorrect, because there are no Information, Complete, or Failure severity levels, but ratherInfo, Success, and Fatal. Option D is incorrect, because there are no Completed or Fatal severity levels, but rather Success and Fatal.

A background process is a type of automation that can run in parallel with one foreground process on the same robot, without requiring user interaction. A foreground process is a type of automation that requires user interaction and runs on the visible desktop. A background process can transition to foreground by using the Use Foreground activity, which moves the current background process into the foreground, executing all the activities it contains. After the execution is complete, the process is moved back into the background.

The other options are not activities that can be used to transition a background process to foreground. Option B, Activate, is an activity that activates a specified UI element by bringing it to the foreground. Option C, Maximize Window, is an activity that maximizes a specified window. Option D, Set Focus, is an activity that sets the keyboard focus to a specified UI element.