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

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.

 Artificial intelligence (AI) is a broad term that covers various technologies that enable machines to perform tasks that traditionally require human intelligence, such as reasoning, learning, problem-solving, and using language. AI can be classified into different types, such as weak AI, strong AI, and artificial general intelligence (AGI), depending on the level of intelligence and the scope of tasks that the machines can perform2. Some of the common applications of AI include natural language processing, computer vision, speech recognition, machine learning, and deep learning3.

References:

1: Artificial intelligence (AI) | Definition, Examples, Types, Applications, Companies, & Facts | Britannica

2: What Is Artificial Intelligence? Definition, Uses, and Types | Coursera

3: What is Artificial Intelligence (AI) ? | IBM

To arrange the flow steps in UiPath Test Manager before deployment in the correct order, follow these sequences:

1st = Requirements are created either in UiPath Test Manager or in an external tool.This step is crucial as it sets the foundation for what needs to be tested, aligning the testing process with business and functional requirements.

2nd = Tester defines test cases in UiPath Test Manager and optionally documents them with Task Capture.Once requirements are established, testers can define and document test cases that correspond to those requirements, ensuring that all aspects of the requirement are covered.

3rd = Test manager assigns test cases to requirements.This step involves mapping each test case to its corresponding requirement to ensure that all requirements are adequately tested.

4th = Developer takes documentation and automates defined test cases in Studio.With the test cases defined and assigned, developers can then proceed to automate these test cases in UiPath Studio, creating automated tests that can be executed against the application or process being tested.

5th = Developer links the test case in Studio to the test case in UiPath Test Manager.After automating the test cases, developers need to link these automated tests in Studio back to the original test cases in Test Manager. This linkage ensures traceability and allows for integrated test management and execution.

6th = Architect deploys automated test cases from Studio to Orchestrator.The final step in the process is for the architect to deploy the automated test cases from UiPath Studio to UiPath Orchestrator. This deployment makes the automated tests available for scheduling and execution as part of the overall testing strategy.

UiPath AI Center is a service that allows you to integrate and automate AI models into your RPA workflows. You can use pre-built or custom models, templates, and a drag-and-drop interface to deploy, manage, and improve your AI-enhanced automations. You can also consume the models within Studio or Orchestrator using the ML Skill activity or the ML Extract activity.

References:

RPA & AI Integration with AI Center

AI Center - About AI Center

How to use UiPath AI Center for Object Detection

UiPath offers two main delivery options for the UiPath Platform, which are designed to provide customers with flexibility and choice on how to deploy and manage their automation solutions. These options are:

UiPath Automation Cloud: This is a cloud-based service that provides the complete UiPath Platform as a software as a service (SaaS) offering. Customers can access all the UiPath products and services from a single web portal, without having to worry about infrastructure, maintenance, or updates. UiPath Automation Cloud is scalable, secure, and compliant with various standards and regulations.

UiPath Automation Suite: This is a self-hosted solution that delivers the same cloud-native platform architecture and functionality as UiPath Automation Cloud, but on-premises or in a public cloud of the customer’s choice. Customers can install and configure UiPath Automation Suite on Linux-based hardware or virtual machines, and benefit from the containerized and microservices-based design, the unified user experience, and the platform services. UiPath Automation Suite also includes tools for managing and monitoring the Kubernetes and Linux infrastructure, as well as periodic updates for the entire package.

References: Overview - Product Differences - UiPath, Delivering Cloud Native Infrastructure On-Premises | UiPath, Overview - Platform Guidelines for Partners - UiPath.

The best practice for naming activities in a workflow is to assign description and unique names to activities based on their function. This helps to facilitate easier debugging, as it makes the workflow more readable, understandable, and maintainable. It also helps to identify the purpose and scope of each activity, and to avoid confusion or ambiguity when multiple activities of the same type are used in the workflow. For example, instead of using the default name “Type Into” for an activity that types a password into a login field, a better name would be “Type Password”. Similarly, instead of using the default name “Click” for an activity that clicks a submit button, a better name would be “Click Submit”.

References:

Studio - Naming Rules - UiPath Documentation Portal

Naming Rules and Best Practices - Studio - UiPath Community Forum

Variables, arguments and workflows naming - best practice - Help - UiPath Community Forum

Inviting users in bulk is the best approach to invite 100 users simultaneously to UiPath Automation Cloud. This method allows you to use a .csv file containing the users to be invited and the user groups they belong to. You can invite up to 1000 users simultaneously with one CSV file1. This is more efficient and convenient than creating robot accounts, inviting each user individually, or adding the users to a group.

References:

Adding Users in Bulk

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.

Image classification is one of the use cases of AI Center for handling unstructured data, as it allows robots to identify and categorize images based on their content and features. For example, image classification can be used to automate tasks such as sorting documents, detecting defects, or recognizing faces. AI Center provides pre-built models for image classification, as well as the option to upload custom models or use third-party models. Image classification can be integrated into RPA workflows using the ML Skill activity in UiPath Studio. References: RPA & AI Integration with AI Center | UiPath, AI Center - Using AI Center - UiPath Documentation Portal, [Image Classification :: AI Center].

Scalability is the ability of a system or a process to handle growing amounts of work or demand in a graceful manner. Scalability impacts the design of a UiPath automation flowchart because it determines how well the automation can cope with increased process volume, complexity, or variability. A scalable flowchart design should consider the following strategies:

Modularization: Breaking down the process into smaller, reusable, and maintainable components that can be easily modified or replaced if needed. Modularization also facilitates testing, debugging, and error handling.

Parameterization: Using variables, arguments, configuration files, assets, or queues to store and pass data that can change depending on the process execution. Parameterization allows for flexibility and adaptability of the automation to different scenarios or environments.

Optimization: Reducing unnecessary or redundant steps, activities, or data in the flowchart to improve the performance, efficiency, and reliability of the automation. Optimization also involves choosing the best methods or techniques to achieve the desired outcome, such as using selectors, data scraping, or computer vision.

Orchestration: Managing the resources, schedules, triggers, and dependencies of the automation to ensure that it runs smoothly and effectively. Orchestration also involves monitoring, logging, and reporting the status and results of the automation, as well as handling exceptions and alerts.

References: Enhancing UiPath Solutions’ Design Scalability, Roles of a Solution Architect in Automation, RPA Setting, Studio - Flowcharts.