Free UiPath UiPath-ASAPv1 Practice Exam with Questions & Answers

The use case of the diagram is Invoice Processing. The diagram represents a typical workflow in a document processing scenario using UiPath RPA tools. It shows the process starting from document collection from emails and SharePoint folders, processing attachments, classifying documents, and handling exceptions until the final step of invoice type classification.

The workflow involves various components of UiPath such as queues in Orchestrator for managing work items, actions by Subject Matter Experts (SMEs) for validation, and use of the Storage Buckets for storing information. It also shows the handling of different document types and exceptions, which is typical in invoice processing scenarios where not all documents are standardized and may require human intervention.

References: UiPath Automation Solution Architect materials which include best practices for setting up workflows and queues, document processing, classification, validation, and exception handling, all of which are relevant to Invoice Processing scenarios. These are covered in the UiPath Academy's Automation Solution Architect course and in the official UiPath documentation at https://docs.uipath.com/ .

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

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

Rule-based extraction is a technique that applies a set of predefined rules and patterns to extract data from a document. For example, you can use document templates, data position, occurrence patterns, or regular expressions to define the rules. Rule-based extraction is suitable for structured documents, such as forms, that have a fixed format and layout. However, rule-based extraction can be limited by the complexity and variability of the rules, and it may not be able to handle semi-structured or unstructured documents, such as invoices, contracts, or emails, that have different formats, layouts, or data types.

Model-based extraction is a technique that uses machine learning algorithms to automatically learn and extract data from a document. For example, you can use classification, clustering, or regression algorithms to train a model based on a set of labeled or unlabeled data. Model-based extraction is effective for semi-structured or unstructured documents, such as invoices, contracts, or emails, that have similar types of information but different formats, layouts, or data types. However, model-based extraction can require more computational resources and data preparation, and it may not be as accurate or consistent as rule-based extraction.

References:

• Document Processing with Improved Data Extraction | UiPath
• Data Extraction Types & Techniques: A Complete Guide
• NLP Methods’ Information Extraction for Textual Data: An Analytical …

 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

For UiPath license estimation, two key best practices include assessing the number and complexity of processes to determine the required types of robots (e.g., Attended, Unattended, Studio, StudioX) and evaluating concurrent robot usage during peak workloads. Understanding the complexity of the processes helps in choosing the right type of robots that align with the tasks' needs, ensuring efficient automation. Concurrent usage assessment is crucial for optimizing resource allocation, especially during peak periods, to maintain high efficiency and productivity without overprovisioning resources. This strategic approach to licensing can significantly enhance the scalability and cost-effectiveness of RPA initiatives.

References:

• UiPath Licensing Guide: Robot Types and Licensing
• UiPath Best Practices: License Management

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

 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 Isolated option for the Invoke Workflow File activity allows the invoked workflow to run in a separate Windows process, which can help with isolating a faulty workflow from the main workflow. However, this option requires that the arguments passed to the invoked workflow are serializable, meaning that they can be converted into a binary format that can be transferred across processes. Simple types, such as integers, strings, booleans, etc., are serializable by default. Reference types, such as arrays, lists, dictionaries, etc., are serializable if they implement the ISerializable interface or have the [Serializable] attribute. Class types are serializable if they meet the same criteria as reference types. Data Row is an example of a non-serializable type that cannot be used as an argument for an isolated workflow. References: Invoke Workflow File, Using Arguments, What is the the use of “isolated” property of invoke workflow, How to pass arguments to Isolated Workflow.

Stability and standardization are important factors to consider when assessing the technical feasibility of process automation, because they affect how easy or difficult it is to develop and maintain the automation solution. A stable and standardized process has fewer exceptions, variations, and changes, which means it can be automated more reliably and efficiently. A process that is unstable or non-standardized may require more complex logic, exception handling, and frequent updates, which can increase the development time and cost, as well as the maintenance effort and risk. Therefore, stability and standardization are indicators of how suitable a process is for automation and how likely it is to deliver the expected benefits. (https://docs.uipath.com/automation-hub/docs/technical-feasibility)

References:

• UiPath Automation Hub - Technical Feasibility
• UiPath Academy - RPA Solution Architecture Fundamentals
• UiPath Certified Professional Automation Solution Architect