Book Image

Tableau Desktop Specialist Certification

By : Adam Mico
Book Image

Tableau Desktop Specialist Certification

By: Adam Mico

Overview of this book

The Tableau Desktop Specialist certification is fundamental for any data visualization professional who works in the field with Tableau. This book gets you started by covering the exam format, Tableau basics, and best practices for preparing data for analysis and visualization. It also builds on your knowledge of advanced Tableau topics to get you up to speed with the essential domains and domain objectives. Although the guide provides an outline and starting point to key in on what needs to be understood before the examination, it also delivers in context to give you a strong understanding of each piece before taking the exam. Instructions on how to get hands on with examples, a common data source, and suggested elements are also included. Understanding the concepts will not only assist you in passing the examination, but will also help you work effectively with the tool in your workspace. By the end of this book, you'll be able to efficiently prepare for the certification exam with the help of mock tests, detailed explanations, and expert advice from the author.
Table of Contents (17 chapters)
Part 1: Introduction to Tableau
Part 2: Mastering the Exam
Part 3: The Final Prep

Knowledge check

  1. What are two reasons you may want to change the default values in a filter to show relevant values only?
    1. You want to see all data.
    2. You want to see the data pre-filtered by filters that have already been applied.
    3. You have no filters in the worksheet or dashboard.
    4. You have a lot of records to select from and want to reduce the visible selections.
  2. Which functionality does the text editor natively include (select all that apply)?
    1. Font selection.
    2. Spell check.
    3. Font coloring.
    4. Center alignment.
    5. Inserting different sheets.
  3. What is the default anchor date when using a relative date filter?
    1. The date the visualization was made.
    2. The date the last data came in.
    3. Today’s date.
    4. None of the above.