Book Image

Microsoft Power BI Data Analyst Certification Guide

By : Orrin Edenfield, Edward Corcoran
5 (1)
Book Image

Microsoft Power BI Data Analyst Certification Guide

5 (1)
By: Orrin Edenfield, Edward Corcoran

Overview of this book

Microsoft Power BI enables organizations to create a data-driven culture with business intelligence for all. This guide to achieving the Microsoft Power BI Data Analyst Associate certification will help you take control of your organization's data and pass the exam with confidence. From getting started with Power BI to connecting to data sources, including files, databases, cloud services, and SaaS providers, to using Power BI’s built-in tools to build data models and produce visualizations, this book will walk you through everything from setup to preparing for the certification exam. Throughout the chapters, you'll get detailed explanations and learn how to analyze your data, prepare it for consumption by business users, and maintain an enterprise environment in a secure and efficient way. By the end of this book, you'll be able to create and maintain robust reports and dashboards, enabling you to manage a data-driven enterprise, and be ready to take the PL-300 exam with confidence.
Table of Contents (25 chapters)
1
Part 1 – Preparing the Data
6
Part 2 – Modeling the Data
11
Part 3 – Visualizing the Data
15
Part 4 – Analyzing the Data
18
Part 5 – Deploying and Maintaining Deliverables
21
Part 6 – Practice Exams

Questions

  1. If you need to transform a column by adding a prefix to every record, which transform would you use?
    1. Format
    2. Pivot
    3. Replace Values
    4. Parse
  2. What is used to combine data from multiple queries or tables?
    1. Merge query
    2. Join query
    3. Append query
    4. Left Outer query
  3. What are some of the ways Power BI can be used to enrich data using AI?
    1. Linear regression, language detection, key phrase extraction, and sentiment analysis
    2. Language detection, key phrase extraction, and sentiment analysis
    3. Language detection and key phrase extraction
    4. Image tagging, key phrase extraction, language detection, and sentiment analysis