Free Practice Questions for UiPath UiPath-ASAPv1 Exam

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

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

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

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

A multi-node HA-ready production deployment is the only configuration supported for production use by UiPath Automation Suite. It ensures that the cluster can handle increased workloads and demand, as well as provide resilience and availability in case of node failures or disasters. A multi-node HA-ready production deployment requires at least 3 server nodes behind a load balancer, which distributes the incoming requests among the nodes and manages the cluster state. The number of agent nodes, which run the UiPath products and shared components, is optional and depends on the actual usage and capacity. A specialized agent node with GPU support is recommended for running special tasks like Task Mining analysis and Document Understanding pipelines, which require high computational power. References: Automation Suite - Deployment architecture - UiPath, Automation Suite - Manual: Multi-node HA-ready production profile requirements and installation - UiPath.

UiPath Unassisted Task Mining is a cloud-based service that collects and analyzes employee desktop data to identify tasks with high automation potential. The Admin Portal and Analyzer are web applications that are used to manage and review the Unassisted Task Mining projects. They are delivered as part of the UiPath Automation Cloud, which is built and hosted on Microsoft Azure. Microsoft Azure is a cloud computing platform that provides various services and solutions for building, deploying, and managing applications and data. UiPath Automation Cloud leverages Microsoft Azure’s security, scalability, and reliability features to offer a seamless and secure user experience. (https://docs.uipath.com/task-mining/automation-cloud/latest/user-guide/unassisted-task-minining-introduction)

References:

Unassisted Task Mining - Introduction - UiPath Documentation Portal

UiPath Automation Cloud - Introduction - UiPath Documentation Portal

Microsoft Azure - Overview

According to the process automation visibility criteria, the tasks that are most suitable for automation are those that are rule-based and repetitive. Rule-based tasks are those that follow a clear and consistent logic that can be programmed without human judgment. Repetitive tasks are those that are performed frequently and in large volumes, and do not vary much in their execution. These tasks are ideal for automation because they can be easily standardized, optimized, and scaled by software robots, while reducing human errors, costs, and efforts.

References:

Are all processes are suitable for RPA, so how to identify the right processes for Robotic Process Automation

Determining What Business Processes To Automate

How To Choose Which Processes To Automate With RPA

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

According to the UiPath documentation and the UiPath Academy course, there are four types of feeds that can be used to deploy a package in Orchestrator:

Tenant feed: This is the default feed for all tenants in Orchestrator. It is hosted on the Orchestrator server and can store both processes and libraries. It can be accessed by all users within the tenant12.

Folder feed: This is a feed that can be configured for a specific folder in Orchestrator. It can store only processes and can be accessed only by users within the folder. It can be useful for isolating packages for different environments or projects13.

Personal workspace feed: This is a feed that can be configured for a personal workspace in Orchestrator. It can store only processes and can be accessed only by the user who owns the workspace. It can be useful for testing and debugging packages before publishing them to other feeds14.

Custom feed: This is a feed that can be configured by adding an external source, such as Azure DevOps, Artifactory, MyGet, etc. It can store both processes and libraries and can be accessed by users who have the credentials for the external source. It can be useful for integrating with third-party tools or services1 .

References:

Automation Ops - Orchestrator Feeds - UiPath Documentation Portal1

Queues and Transactions - UiPath Documentation Portal2

Folders - UiPath Documentation Portal3

Personal Workspaces - UiPath Documentation Portal4

External Feed For Packages - UiPath Community Forum

UiPath Communications Mining is a platform that uses AI to monitor and automate business communications across different channels, such as email, chat, calls, and tickets. It can extract insights from unstructured messages, such as the reasons for contact, the data fields, and the sentiment. UiPath Document Understanding is a framework that uses AI to process and analyze documents of various formats, such as PDF, Word, Excel, and images. It can obtain key information from attached files, such as the document type, the fields, and the values. By combining Communications Mining and Document Understanding, businesses can optimize data extraction and analysis in an automated business process. For example, a customer service process that involves reading both messages and documents to complete a request can be automated by using Communications Mining to understand the customer’s intent and data from the message, and Document Understanding to extract the relevant information from the document. This way, the process can be faster, more accurate, and more scalable. References:

Communications Mining - Overview - UiPath Documentation Portal

[Document Understanding - Overview - UiPath Documentation Portal]

How and where Communications Mining can be deployed