Book Image

UiPath Associate Certification Guide

By : Niyaz Ahmed, Lahiru Fernando, Rajaneesh Balakrishnan
Book Image

UiPath Associate Certification Guide

By: Niyaz Ahmed, Lahiru Fernando, Rajaneesh Balakrishnan

Overview of this book

UiPath is the most popular vendor in the Robotic Process Automation (RPA) industry. If you're an RPA enthusiast or citizen developer who wants to succeed in the industry, achieving this certification can help you get accredited and ready for real-world challenges using UiPath. UiPath Associate Certification Guide offers complete, up-to-date coverage of the UiPath RPA Associate certification exam to help you pass on the first attempt and get certified. The book is written in a clear, succinct way with self-assessment questions, quizzes with answers at the end of each chapter, exam tips, and mock exams with detailed answers and explanations. You'll start by getting to grips with the basic concepts of UiPath RPA, and then progress to an in-depth discussion of all the concepts required for Associate certification. Finally, you'll develop UiPath skills by gaining the required knowledge and implement these skills using sample business cases. By the end of this UiPath book, you'll have covered everything you need to pass the exam, gained the knowledge you need to work on real-world case studies, and learned how to apply the various concepts to build enterprise-level use cases.
Table of Contents (24 chapters)
1
Part 1: Importance of RPA
6
Part 2: UiPath Studio
15
Part 3: Use Case and Exam Preparation
20
Chapter 17: Mock Exam 1
21
Chapter 18: Mock Exam 2

Explaining the concept of data manipulation

Data manipulation is a process that alters data through various operations to convert it into a usable format. It is a vital function for business operations and management as it provides many benefits, such as the following:

  • Converts data into a more consistent format to improve reliability, readability, and organization
  • Enables customization and generation of more meaningful data according to business requirements
  • Removes unwanted data to ensure only the required information is processed

Data manipulation operations consist of four primary functions, as outlined here:

  • Extracting data by specifying extraction conditions such as filtering, summarizing, and so on
  • Adding new data
  • Removing unwanted data
  • Changing existing data by updating new values or converting unstructured data into a more meaningful and process-friendly format

There are many different methods of manipulating data, depending...