UiPath-ASAPv1 Exam Dumps - UiPath Automation Solution Architect Professional v1.0 Exam

 UiPath Apps is a platform that enables users to build and share enterprise-grade custom applications that connect to data in any underlying cloud or on-premises system using the power of automation. Users can create apps using a web browser, a rich library of drag-and-drop controls, and automations from the UiPath Platform. UiPath Apps supports APIs, legacy applications, and data sources that are not easily programmable. Users can also run their apps on any device, and integrate them with other UiPath products such as UiPath Assistant, UiPath Automation Hub, and UiPath Process Mining. References: Apps - Introduction - UiPath, Introducing UiPath Apps: A Robot-Powered Low-Code Platform

The interaction between UiPath Studio and the UiPath Robot Service performs the function of executing or debugging a process. UiPath Studio is the design tool that allows users to create, edit, and test automation workflows. UiPath Robot Service is the component that runs the automation workflows on the machine. It communicates through an inter-process communication channel with Studio, the UiPath Assistant, and Robot Command Line Interface to receive and process information, and then to provide the necessary instructions to the Robot Executor. When a user wants to execute or debug a process from Studio, the Robot Service receives the command and launches the Robot Executor in the appropriate mode and session. The Robot Executor then performs the actions defined in the workflow and sends back the status and logs to the Robot Service, which in turn relays them to Studio. References:

• Robot - Robot Service - UiPath Documentation Portal
• Studio - Debugging - UiPath Documentation Portal
• Robot - Executing Processes - UiPath Documentation Portal

 UiPath Data Service is a cloud-based data platform that enables users to store and manage structured and relational data for their RPA projects. Entity Records are the basic units of data in Data Service, which consist of fields and values that represent a specific object or concept. Users can create custom Entity Records to store data that is relevant to their automation scenarios, such as customer information, order details, invoice data, etc. Users can also use suitable queries to retrieve and manipulate existing Entity Records as needed, such as filtering, sorting, aggregating, updating, or deleting data. Users can also leverage the relationships between Entity Records to access related data across different entities, such as joining, expanding, or embedding data. References: Data Service - Entities - UiPath, Data Service - Queries - UiPath, Data Service - Relationships - UiPath

According to the UiPath Automation Solution Architect course, the two primary stages in checking license utilization in UiPath projects are:

• Licensing Allocation: This stage involves planning and allocating the required licenses for the project, such as Studio, Robot, Orchestrator, and Data Service licenses. This stage also involves estimating the cost and return on investment (ROI) of the project based on the license usage.
• Development Testing: This stage involves testing the project in different environments, such as development, testing, and production, and monitoring the license consumption and performance of the project. This stage also involves optimizing the license utilization and resolving any issues or errors related to licensing.

References:

• UiPath Automation Solution Architect course, Module 4: Project Delivery2
• Data Service - Checking the License Usage - UiPath Documentation Portal1

The Taxonomy Manager wizard in UiPath Studio appears when the UiPath.IntelligentOCR.Activities package is installed. This package is part of UiPath's Document Understanding framework, which allows developers to define, manage, and categorize document fields and types. The Taxonomy Manager is a crucial tool in this process, enabling the creation and editing of taxonomy for document classification and data extraction tasks. Installing this package enables the Taxonomy Manager feature in the Studio ribbon, facilitating the development of document processing workflows.

References:

• UiPath Document Understanding Guide: Taxonomy Manager
• UiPath Marketplace: IntelligentOCR Activities

UiPath AI Center is a platform within the UiPath Automation Suite that enables the deployment, management, and monitoring of artificial intelligence (AI) models in conjunction with RPA workflows. AI Center allows users to bring AI capabilities into their automation processes, facilitating the use of machine learning models to enhance decision-making, data processing, and task execution within automations. This integration of AI with RPA opens up new possibilities for automating complex processes that require cognitive capabilities, such as natural language understanding, prediction, and classification tasks.

References:

• UiPath AI Center Guide: About AI Center
• UiPath AI Center Guide: Deploying and Managing Models

In UiPath Unassisted Task Mining, the correct type of licensing to check for running analysis is whether the customer has Mining units allocated. Task Mining uses AI algorithms to analyze user interactions and identify automation opportunities. Mining units are a specific type of licensing metric used to quantify and allocate the resources required for the Task Mining analysis. These units are consumed based on the volume of data analyzed and the computational resources utilized during the process. Ensuring the availability of Mining units is essential for the successful execution of Task Mining projects.

References:

• UiPath Task Mining Guide: Introduction to Task Mining
• UiPath Licensing Guide: Understanding Licensing

 Personal Identifiable Information (PII) is any data that potentially identifies a specific individual, allows for distinctions to be made between individuals, or could be used to de-anonymize anonymous data1. PII should be handled with care and protected from unauthorized access or disclosure. UiPath Orchestrator Queues are a way to store and process data items for automation projects. Queues have two types of data: Reference and Specific Content. Reference is a unique identifier for the data item, while Specific Content is a collection of key-value pairs that store the actual data2. To store PII in UiPath Orchestrator Queues, the best option is to use Specific Content and enable the “Store in encrypted format” option. This option encrypts the data using AES-256 encryption and prevents anyone, including database administrators, from viewing the data in plain text. Only the robots that have access to the queue can decrypt and process the data3. This ensures the security and privacy of the PII data.

References: About Queues and Transactions, Managing Queues in Studio, UiPath for Compliance, a GDPR Automation Solution

In UiPath Apps, dynamic messages can be created using expressions. The String.Format function can be used within a VB expression to dynamically insert the user's name into a message displayed on a label control, based on the input from a textbox.

When a task is assigned to a user in UiPath Action Center, its status changes to "In Progress." This status indicates that the task has been acknowledged by the user and is currently being worked on. Action Center is designed to facilitate human-in-the-loop scenarios, where human intervention is required to complete tasks that cannot be fully automated. The "In Progress" status helps track the progress of these tasks, ensuring that they are moving towards completion.

References:

• UiPath Action Center Guide: Managing Actions
• UiPath Action Center Guide: Task Statuses

In the context of the REFramework (Robotic Enterprise Framework), the optimal design segregates the responsibilities between Dispatcher and Performer processes. The Dispatcher is responsible for collecting transaction data and adding it to the queue, while the Performer processes each transaction item from the queue. In this scenario, "FindEmailsToProcess.xaml" should logically be part of a Dispatcher process that identifies and queues each relevant email as a transaction item. Subsequently, the Performer would process these items. This separation enhances modularity, scalability, and error handling by clearly delineating the responsibilities between collecting transaction data and processing it.

References:

• UiPath REFramework Guide: REFramework Documentation
• UiPath Academy: REFramework Training

References:

• Orchestrator - Queue Triggers
• Orchestrator - UI Automation Triggers
• Orchestrator - Form Triggers
• Orchestrator - Event Triggers

To access Automation Cloud, you do not need a dedicated infrastructure, an on-premises installation, or an offline access. You only need an internet connection with TLS and a compatible web browser. Automation Cloud is a cloud-based platform that delivers the full UiPath Platform, including SaaS robots and self-hosted robots, in under a minute, from any of six regions around the world. You can access it from any supported browser, such as Google Chrome, Microsoft Edge Chromium, Mozilla Firefox, or Apple Safari. Other browsers that are not listed, older versions of the listed ones, or mobile browsers are not supported and may cause errors or malfunctions. References: Automation Cloud - Software requirements - UiPath Documentation Portal, Complete cloud-based enterprise automation solution | UiPath

According to the UiPath documentation1, the Jobs History widget is a component of the Automation Cloud UI that shows the executions you initiated and their status. You can use this widget to monitor the progress and outcome of your automation jobs, such as successful, failed, stopped, or pending. You can also filter the jobs by date range, status, or process name. The Jobs History widget also provides a link to the Orchestrator service where you can view more details and manage your jobs. References: 1: Jobs History Widget - UiPath Documentation Portal

Long-running workflows are processes that require logical fragmentation or human intervention (validations, approvals, exception handling) such as invoice processing and performance reviews. UiPath provides a dedicated project template in Studio called Orchestration Process, which enables the use of a set of activities to handle these scenarios. The Orchestration Process template allows the workflow to be suspended and resumed based on certain conditions, such as the completion of a job, a queue item, a form task, or an external task. The template also integrates with UiPath Action Center, which is a feature that enables human intervention in long-running unattended workflows. The Orchestration Process template is the recommended option for designing and developing long-running workflows in UiPath Studio. References:

• Orchestrator - Working With Long-running Workflows
• New Component - Long Running Workflow Template with UiPath Tasks
• Long Running Workflow Template for Task Creation - UiPath Marketplace

Orchestration Processes in UiPath are designed to manage complex workflows that involve long-running operations, human interactions, and integration with various services. They coordinate different parts of the process according to business logic and monitor the execution to ensure that the workflow progresses smoothly.

High-volume, repetitive tasks that are predictable and do not require creativity or critical thinking are well-suited for automation with RPA. These tasks often involve routine data entry, data extraction, and rule-based decision-making, which can be efficiently handled by robots. Automating such tasks can significantly improve efficiency, accuracy, and speed, while freeing up human workers to focus on more complex and value-added activities that require human judgment, creativity, and emotional intelligence.

References:

• UiPath RPA Guide: Identifying Processes for Automation
• UiPath Best Practices: Process Selection

Splitting the process into three distinct sub-processes - Dispatcher, Performer, and Reporter - aligns with best practices for RPA design, promoting modularity and scalability. The Dispatcher's role would be to initialize the process, such as identifying and queuing work items. The Performer would then take over to handle the core automation tasks (steps 2 to 4), focusing on processing the queued items. Finally, the Reporter would compile and present the results or outcomes of the automation (steps 5 to 7). This structure not only clarifies the process flow but also facilitates easier maintenance and updates, as each sub-process can be modified independently without affecting the others.

References:

• UiPath REFramework Guide: Dispatcher-Performer Model
• UiPath Best Practices: Framework for Process Design

Machine Learning (ML) is a subset of artificial intelligence that enables systems to learn from data, identify patterns, and make decisions with minimal human intervention. Unlike traditional programming, where a developer writes the instructions to solve a problem, ML algorithms learn from the data. They improve their performance as the amount of data increases. This learning process involves training an ML model on a dataset, allowing it to learn from the examples provided. Once the model is trained, it can make predictions or decisions based on new, unseen data. This approach is powerful in handling complex tasks where defining explicit rules is challenging.

References:

• UiPath AI Center Guide: Introduction to Machine Learning
• UiPath AI Fabric: Machine Learning Models

 According to the UiPath documentation, you can create defects in Test Manager by analyzing the test execution results. You can access the test case logs from the test Results page and click on the Create Defect button. This will open a dialog box where you can enter the defect details and link it to an external tool, such as Jira1.

References:

• Test Suite - Test Results
• Issue with Creating Defect in Test Manager
• Test Suite - Troubleshooting

When estimating the development time for a process, it's crucial to include time for User Acceptance Testing (UAT). UAT is a critical phase where end-users or clients validate the developed solution against their requirements. This phase ensures that the automation meets the business needs and works as expected in the real-world environment. Including UAT in the estimation allows for addressing any feedback, making necessary adjustments, and ensuring the solution's quality before deployment. Neglecting this phase in the estimation can lead to project delays and increased costs due to unforeseen changes and corrections.

References:

• UiPath Best Practices: Testing Best Practices
• UiPath Studio Guide: About Testing

A standard business process model and notation (BPMN) is a graphical representation of the business processes and workflows in a solution. It helps to communicate the logic, flow, and interactions of the activities and actors involved in the solution. By using a standard BPMN, the solution architect can ensure that the solution design is consistent, clear, and understandable across different process diagrams, regardless of the level of detail or complexity. A standard BPMN also facilitates the alignment and integration of the solution with other systems and platforms, as well as the validation and verification of the solution requirements and functionality. References: UiPath Automation Solution Architect Learning Plan, Module 4: High-Level Solution Design1; UiPath Automation Suite - Deployment Architecture2; UiPath Academy - Roles of a Solution Architect in Automation, RPA Setting3.

The process shown in the diagram can be optimized by reading the email as the first step and opening CRM and logging in only if there’s an email. This way, the process can avoid unnecessary steps and save time and resources. If there is no email, the process can end without opening CRM. If there is an email, the process can extract the user information from the email and use it to log in to CRM and navigate to the user profile. This can also reduce the risk of errors and exceptions due to invalid or missing user information. Reading the email as the first step can also help the process to prioritize the emails based on their importance or urgency and handle them accordingly. References:

• UiPath Process Mining: Use process monitoring and optimization to propel RPA
• Optimizing Processes with UiPath Process Mining
• Optimization maximum utilisation - UiPath Community Forum

 The diagram shows a flowchart of a process that involves logging into two applications, extracting and filling information from one application to another, and looping through multiple claims. However, the diagram does not include any exception handling for any of the steps, which means that the process will fail if any error or unexpected situation occurs. For example, what if the login to Application1 or Application2 fails due to system error or invalid credentials? What if the browser cannot open or verify the title? What if the claim information cannot be exported or filled in correctly? What if the search or extraction in Application2 fails or returns incorrect results? These are some of the possible scenarios that could cause the process to stop or produce incorrect outcomes, and the diagram does not show how to handle them gracefully. Exception handling is an essential part of designing a robust and reliable RPA solution, as it allows the process to recover from errors, log the issues, notify the users, and continue with the next steps or transactions.

References:

• Exception Handling - UiPath Studio
• Global Exception Handler - UiPath Studio
• RPA Solution Architect Learning Plans

 According to the UiPath documentation1, Automation Ops is a component of the UiPath platform meant for creating, deploying, and managing Robotic Process Automation (RPA) governance policies in UiPath Studio, UiPath StudioX, and UiPath Assistant. You can use a single, simple web portal to manage and implement governance rules based on user profiles, such as defining the acceptable feeds, packages, widgets, and activities, restricting the applications and URLs that can be automated, and assigning roles and responsibilities for reviewing and approving the automation projects. Automation Ops also integrates with Git repositories and CI/CD pipelines to provide source control and automation delivery capabilities. Therefore, the correct answer is D. Configure and deploy governance policies, as this is one of the main functionalities of Automation Ops. References: 1: Automation Ops - UiPath Documentation

The Robotic Enterprise Framework is a pre-built template that follows the best practices for implementing an unattended transactional process. It is designed to handle exceptions, application errors, transactions, logging, and reporting. It also uses queues and orchestrator assets to manage the data and configuration of the process. The Robotic Enterprise Framework is suitable for complex and long-running processes that require high reliability and scalability.

References:

• Robotic Enterprise Framework
• RPA Solution Architect Learning Plans

The correct flow from a high level design standpoint in UiPath Test Manager1 is:

Step 1 = Create Project Step 2 = Create Requirement Step 3 = Create TestCase Step 4 = Create TestSet

According to the UiPath documentation and the Test Manager Overview Demo1, the high level design flow in UiPath Test Manager1 involves the following steps:

• Create Project: A project is a container for all the testing artifacts related to a specific application or process. You can create a project in Test Manager by giving it a name, a description, and a type (RPA or Application). You can also import a project from another source, such as Jira or Azure DevOps 2.
• Create Requirement: A requirement is a statement of what the application or process should do or achieve. You can create a requirement in Test Manager by giving it a name, a description, and a custom attribute. You can also import a requirement from another source, such as Jira or Azure DevOps 2.
• Create TestCase: A test case is a set of steps or actions that verify a specific requirement. You can create a test case in Test Manager by giving it a name, a description, a type (manual or automated), and a custom attribute. You can also import a test case from another source, such as Studio or Task Capture 2.
• Create TestSet: A test set is a collection of test cases that are executed together as part of a testing cycle. You can create a test set in Test Manager by giving it a name, a description, a type (manual or automated), and a custom attribute. You can also import a test set from another source, such as Orchestrator 2.

References:

• 2: UiPath Test Manager - UiPath Documentation Portal
• 3: Task Capture - UiPath Test Manager - UiPath Documentation Portal
• 1: Test Manager Overview Demo - Test Automation Case | UiPath

This answer is correct because high runtime, high volume, and low SLA indicate that the automation process is complex, frequent, and critical, which requires more resources and licenses to execute and manage. For example, more unattended robots may be needed to run the process without human intervention, more Orchestrator tenants may be needed to isolate and scale the process across different environments, and more Studio licenses may be needed to design and test the process12

References:

• Automation Pricing - Complete UiPath Enterprise Solution | UiPath
• UiPath Pricing 2024: Its 3 RPA Pricing Models, Clearly Explained

Optical Character Recognition (OCR) is a foundational technology that converts different types of documents, such as scanned paper documents or PDFs, into editable and searchable data by recognizing text within digital images. UiPath Document Understanding builds upon OCR technology but goes further by not only recognizing text but also understanding the structure, context, and semantics of documents. This enables the extraction of specific information, classification of documents, and interpretation of the document's meaning, facilitating the automation of complex document processing workflows that involve various document types and require contextual understanding.

References:

• UiPath Document Understanding Guide: Introduction to Document Understanding
• UiPath OCR Activities Guide: OCR Activities

In UiPath Orchestrator, calendars are used to define working and non-working days for robots. To accommodate non-working days, such as weekends or holidays, a user can create a new calendar and manually mark these days. Additionally, for ease and efficiency, a .csv file containing all non-working days can be prepared and uploaded to Orchestrator. This feature is particularly useful for planning and scheduling unattended robots, ensuring that they operate according to the organization's working calendar.

References:

• UiPath Orchestrator Guide: Managing Calendars
• UiPath Orchestrator Guide: About Calendars

UiPath Automation Cloud is a cloud-based enterprise automation solution that lets you start and scale your automation from the cloud with SaaS robots and self-hosted robots. It offers security, compliance, governance, and insights for your RPA initiatives. It does not require manual installation and maintenance, as it is delivered as a service. It does not have single or multi-node deployment options, as it is hosted on UiPath’s infrastructure. It does not provide major updates twice yearly, as it is updated continuously with new features and improvements.

References:

• Complete cloud-based enterprise automation solution | UiPath
• Automation Cloud - UiPath Documentation Portal
• Automation Cloud - About Automation Cloud - UiPath Documentation Portal

UiPath Automation Hub is a cloud-based platform that helps organizations manage their automation pipeline, from ideation to deployment and maintenance. Automation Hub enables users to submit, evaluate, prioritize, and track automation ideas, as well as collaborate with other stakeholders and developers. The UiPath Automation Hub lifecycle consists of the following phases:

• Idea: This is the initial phase where users can submit their automation ideas, either by filling out a form or by using the Task Capture tool to record their manual tasks. Users can also browse and vote for existing ideas, or provide feedback and comments.
• Qualification: This is the phase where the automation ideas are assessed and validated by the automation experts, such as business analysts, solution architects, or automation sponsors. The qualification criteria include the feasibility, complexity, impact, and alignment of the automation idea with the business goals and strategy. The qualified ideas are then approved and moved to the next phase.
• Assessment: This is the phase where the automation experts perform a detailed analysis of the automation idea, such as defining the scope, requirements, inputs, outputs, exceptions, risks, and dependencies. The assessment also involves estimating the effort, cost, and benefits of the automation, as well as creating a high-level solution design and a process map. The assessed ideas are then prioritized and assigned to the development team.
• Development: This is the phase where the developers use UiPath Studio and other tools to build, test, and debug the automation solution, following the best practices and standards. The development also involves creating the documentation, such as the technical specification document, the test cases, and the user guide. The developed automation is then deployed to the testing environment and moved to the next phase.
• Testing: This is the phase where the automation solution is tested and validated by the quality assurance team, the business users, and the automation experts, using UiPath Test Suite and other tools. The testing involves verifying the functionality, performance, security, and compliance of the automation, as well as identifying and resolving any defects or issues. The tested automation is then deployed to the production environment and moved to the next phase.
• Maintenance: This is the final phase where the automation solution is monitored and maintained by the operations team, using UiPath Orchestrator and other tools. The maintenance involves ensuring the availability, reliability, and scalability of the automation, as well as performing any updates, enhancements, or fixes as needed. The maintenance also involves measuring and reporting the outcomes and benefits of the automation, as well as collecting feedback and suggestions for improvement.

References: Automation Hub - Automation Pipeline Management | UiPath, Overview - Product Lifecycle - UiPath, Studio - Automation Lifecycle - UiPath.

Ensuring the security and compliance of automation solutions is paramount, especially when dealing with sensitive data. A critical security and compliance check performed by Solution Architects during code reviews is verifying that Personally Identifiable Information (PII) is not written as clear text in logs. Writing PII to logs can lead to security breaches and non-compliance with data protection regulations such as GDPR. Solution Architects must ensure that the code is designed to either mask or exclude PII from logs, thereby protecting sensitive information and adhering to compliance standards.

References:

• UiPath Security Guide: Logging Best Practices
• UiPath Security and Compliance: Data Protection and Privacy

According to the UiPath Automation Solution Architect Learning Plan, the Solution Architect is responsible for creating the Automation Runbook document, which is a detailed guide for the deployment and maintenance of the automation solution. The Automation Runbook document contains information such as the automation objectives, scope, dependencies, risks, roles and responsibilities, deployment steps, testing scenarios, troubleshooting tips, and support contacts. The Automation Runbook document is created after the Solution Design Document (SDD) and before the deployment of the automation solution.

References:

• UiPath Automation Solution Architect Learning Plan
• Automation Suite - Alert Runbooks
• Activities - Start Runbook

According to the UiPath documentation1, the Add Transaction Item activity adds a new item in the queue and starts a transaction. The status of the item is set to InProgress. This means that the item is locked for processing by the current robot and cannot be retrieved by other robots until the transaction is completed or abandoned. The Add Transaction Item activity also returns the item as a QueueItem variable, which can be used to access its properties and data. The Add Queue Item activity adds a new item in an Orchestrator queue. The status of the item will be New. This means that the item is available for processing by any robot that uses the Get Transaction Item activity. The Add Queue Item activity does not return the item as a variable, but it allows setting its priority, reference, and deadline. Therefore, the correct answer is C. The status of the queue item added with ‘Add Transaction Item’ is “InProgress” The status of the queue item added with ‘Add Queue Item’ is "New’. References: 1: Queues and Transactions - UiPath Documentation Portal

This answer is correct because long-running workflows are processes that require logical fragmentation or human intervention (validations, approvals, exception handling) such as invoice processing and performance reviews. They are handled with a set of instruments in the UiPath suite: a dedicated project template in Studio called Orchestration Process, actions and resource allocation capabilities in Orchestrator. Long-running workflows use a pair of activities to introduce a condition that suspends the main job until the condition is met, and then resumes the job with the obtained data. The condition can be a job, a queue item, a form action, or an external action12

References:

• Orchestrator - Working With Long-running Workflows
• Designing long-running workflows - UiPath Documentation Portal

According to the UiPath documentation and the UiPath Academy course, unattended automation is best suited for back-office processes that do not require human intervention or supervision, such as data processing, report generation, file management, etc. Unattended automation can run in the background, on a different machine than the user, and can be scheduled or triggered by events12. The high-level solution diagram you provided shows a process that involves extracting data from an input file using a machine learning model, updating information in a storage bucket, uploading files to SharePoint, and adding the document path to a processing queue. These tasks do not require any user interface interaction or human input, and can be performed by an unattended robot without any disruption to the user’s work. Therefore, unattended without UI interaction is the recommended type of automation for this scenario.

References:

• Attended, Unattended and Hybrid - UiPath1
• UiPath Automation Solution Architect | UiPath Academy2

In UiPath Orchestrator, using the queue name as an argument for the process is the most efficient way to handle varying data sources for different schedule times. When scheduling the process, you can specify different queue names as input arguments for each trigger (9AM, 1PM, 6PM). This approach allows for a single, flexible process that adapts to different data sources at different times without the need for multiple deployments or manual updates to assets or configuration files.

References:

• UiPath Orchestrator Guide: Managing Triggers
• UiPath Orchestrator Guide: About Arguments

In UiPath's documentation regarding the Dispatcher and Performer model, it is emphasized that the Dispatcher is responsible for adding items to the queue, while the Performer processes these items. An accurate split between Dispatcher and Performer tasks is crucial for efficient process design. The given estimation table should clearly distinguish tasks that add items to the queue (Dispatcher) from those that process items from the queue (Performer). Mixing or inaccurately assigning these tasks can lead to inefficiencies and confusion in process execution. (Source: https://docs.uipath.com/orchestrator/docs/about-queues-and-transactions )

UiPath Apps is a low-code platform for developing user interfaces for RPA projects built with UiPath. It allows you to create apps using a web browser, a rich library of drag-and-drop controls, and automations from the UiPath Platform. UiPath Apps supports APIs, legacy applications, and data sources that are not easily programmable. You can build custom business applications that connect to data in any underlying cloud or on-premises system using the power of automation. You can also design apps that run in multiple form factors, such as a full-page console, a sidebar, or any other size for either desktop or mobile devices. You can use UiPath Apps to create simple or complex applications with base user interaction and advanced functionality, such as conditional logic, data validation, and error handling. You can also integrate and manage UiPath RPA automations within your apps, using attended or unattended robots to interact with back-end systems. UiPath Apps is not primarily focused on data analysis and machine learning, although you can use UiPath activities and integrations to perform such tasks within your automations. References:

• Apps - Introduction - UiPath Documentation Portal
• Introducing UiPath Apps: A Robot-Powered Low-Code Platform
• UiPath Apps

 UiPath Automation Hub is a collaborative tool that helps users discover and manage automation opportunities and process improvements, prioritized by impact and ROI. It also facilitates collaboration across SMEs, developers, and the CoE, and provides a central repository for process documentation and reusable components.

References:

• Automation Hub - Automation Pipeline Management | UiPath
• Automation Hub - Introduction
• UiPath Automation Hub Overview | UiPath Academy