UiPath-ASAPv1 Reviews Questions

Storage buckets provide a per-folder storage solution for RPA developers to leverage in creating automation projects1. In the diagram, the Storage Bucket is used for updating information and uploading/moving unprocessed files. This is related to the classification data that is created and validated in the Action Center by the SME (Subject Matter Expert). The classification data is used to train the machine learning model that extracts data from the documents2.

References:

• About Storage Buckets
• UiPath Apps (Storage Bucket). Introduction

Machine Learning (ML) is a branch of artificial intelligence (AI) that enables computers to learn from data and perform tasks that are difficult or impossible to program explicitly. ML models can be trained to recognize patterns, make predictions, and generate outputs based on the input data. ML models can be integrated into automation solutions using UiPath AI Center, a cloud-based platform that allows users to deploy, manage, and consume ML models in their automations.

Among the four business scenarios given, the one that is best automated using ML is to classify emails in appropriate categories based on their subject and body. This is because email classification is a natural language processing (NLP) task that requires understanding the meaning and context of the text, which is not easy to achieve with rule-based or deterministic approaches. ML models can be trained to learn from a large corpus of labeled emails and assign categories to new emails based on their similarity and relevance. This can help automate the email management process and improve the efficiency and accuracy of email handling.

The other three scenarios can be automated using Robotic Process Automation (RPA), which is a technology that mimics human actions to interact with applications and systems. RPA can be used to create support tickets inside a helpdesk platform, calculate hotels inside a spreadsheet, and migrate data from one database to another, by following predefined steps and rules. These scenarios do not require ML models, as they do not involve complex or ambiguous data or tasks.

References:

• RPA & AI Integration with AI Center | UiPath
• Become an Automation Solution Architect | UiPath Academy
• RPA Solution Architect - UiPath Academy

UiPath Automation Hub documentation discusses the various stages of the automation lifecycle, including the Decision Pipeline step. This step is crucial for evaluating and deciding which automation ideas will proceed to the implementation phase based on their potential impact, feasibility, and alignment with business goals. This ensures that resources are allocated to the most valuable and viable automation projects. (Source: https://docs.uipath.com/automation-hub/docs/idea-lifecycle )

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