Pass the UiPath UiPath Certified Professional - Developer Track UiPath-ASAPv1 Questions and answers with CertsForce

Automated Test Sets can be executed from both Orchestrator and Test Manager, depending on the source and type of the test cases. Test Sets that have been linked from Orchestrator can be executed automatically or manually, if they have manual steps defined. Test Sets that have been created in Test Manager can also be executed automatically or manually, if they have test cases linked from Studio or manual steps12.

References:

Test Suite - Test Sets

Test Suite - Executing Tests

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

A PDD is a Process Definition Document that describes the business process to be automated, its inputs, outputs, exceptions, and dependencies. It is a key document for the RPA project, as it serves as the basis for the solution design and development2. The business analyst is the one who leads the creation of the PDD, by gathering the requirements from the subject matter experts, analyzing the current state of the process, and documenting the steps and logic of the process in a clear and detailed manner. The business analyst also ensures that the PDD is aligned with the client’s expectations, objectives, and standards, and that it is reviewed and approved by the relevant stakeholders before handing it over to the RPA developers13.

References:

1: What does a Business Analyst is? - UiPath Community Forum

2: What is PDD?and what the difference between PDD and SDD

3: Developers and Business Analysts - Help - UiPath Community Forum

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

In UiPath Data Service, an "Entity" represents a data model that defines the structure of data stored within the service, similar to a table in a relational database. Entities are used to model and manage business data in Data Service.

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

 Package Explorer is a feature that enables you to view the contents of any package version uploaded to Orchestrator. You can access it from the Packages page, by clicking the Explore button next to the package name. Package Explorer displays a graphical representation of the entry .xml file of the package, as well as the variables, arguments, and imports that are part of it. You can also view the properties of each activity, such as selectors, text, or output variables. Package Explorer can help you troubleshoot errors, compare different versions of a package, or inspect the logic of a package without opening it in Studio.

References:

Package Explorer

New package Explorer options with 2019.10 Beta

Folders, entities and permissions are the elements of UiPath Automation Platform that are best suited for managing long-running activities in RPA projects. Folders enable the organization and isolation of data, processes, queues, and other resources within a tenant. Entities are custom data structures that can store information related to long-running workflows, such as invoices, orders, or contracts. Permissions control the access and actions that users and robots can perform on folders, entities, and other resources.

References:

Folders

Entities

Permissions

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

Semi-structured documents are documents that have some degree of structure, but not enough to be easily processed by traditional data management systems. They usually have a common schema or layout, but the data fields may vary in number, position, or content. They may also contain unstructured elements such as text, images, or handwriting. Examples of semi-structured documents are invoices, receipts, purchase orders, utility bills, and contracts. These documents are often used in business processes and require data extraction and classification. UiPath Document Understanding provides out-of-the-box Machine Learning Models to handle semi-structured documents in a template-less approach12.

References:

Introducing Document Understanding - UiPath

Document Understanding - About ML Packages - UiPath Documentation Portal