Book Image

CompTIA Data+: DAO-001 Certification Guide

By : Cameron Dodd
Book Image

CompTIA Data+: DAO-001 Certification Guide

By: Cameron Dodd

Overview of this book

The CompTIA Data+ certification exam not only helps validate a skill set required to enter one of the fastest-growing fields in the world, but also is starting to standardize the language and concepts within the field. However, there’s a lot of conflicting information and a lack of existing resources about the topics covered in this exam, and even professionals working in data analytics may need a study guide to help them pass on their first attempt. The CompTIA Data + (DAO-001) Certification Guide will give you a solid understanding of how to prepare, analyze, and report data for better insights. You’ll get an introduction to Data+ certification exam format to begin with, and then quickly dive into preparing data. You'll learn about collecting, cleaning, and processing data along with data wrangling and manipulation. As you progress, you’ll cover data analysis topics such as types of analysis, common techniques, hypothesis techniques, and statistical analysis, before tackling data reporting, common visualizations, and data governance. All the knowledge you've gained throughout the book will be tested with the mock tests that appear in the final chapters. By the end of this book, you’ll be ready to pass the Data+ exam with confidence and take the next step in your career.
Table of Contents (24 chapters)
1
Part 1: Preparing Data
7
Part 2: Analyzing Data
13
Part 3: Reporting Data
19
Part 4: Mock Exams

Practice questions and their answers

Let’s try to practice the material in this chapter with a few example questions.

Questions

  1. A smart thermometer collects information about the temperature outside every 30 minutes, creates a log, and sends the data to a local database. What can you tell about the database?
    1. It is structured
    2. It is unstructured
    3. It is relational
    4. There is not enough information
  2. Client-facing agents at banks are not technical experts, but require the ability to query client information. Which data schema is most appropriate for their database?
    1. Star schema
    2. Snowflake schema
    3. Galaxy schema
    4. Avalanche schema
  3. You are working as a data scientist for a video-streaming website. You require access to raw, unprocessed data and video files. What is the most appropriate database style to use?
    1. Data warehouse
    2. Data mart
    3. Data lake
    4. Data mine
  4. An e-commerce website has been collecting information on purchases for over a year. Now, they want more detailed geographical information...