Dig Into Data for AI

Learning Objectives

After completing this unit, you’ll be able to:

Describe the importance of data quality.
Describe the elements/components of data quality.

Key Topics

This unit prepares you for the Data in AI section of the Salesforce AI Associate exam, which makes up 36% of the overall exam. This section of the exam tests these topics.

Importance of data quality as it relates to AI
Elements of data quality

This unit provides a number of interactive, real-world questions that are a lot like the ones you'll encounter as a Salesforce AI Associate. Looking at these scenarios helps prepare you to take the Data in AI section of the Salesforce AI Associate exam. As you tackle the practice questions, you get immediate feedback on your answers, along with detailed information on why your answers are correct (or incorrect).

The unit also contains interactive flashcards centered around study topics that help you prepare for the Data in AI section of the exam.

Exam Practice Questions

Ready to jump in? The sample interactive quiz below is not scored—it's just an easy way to test yourself. To use it, read the scenario, then click on the answer you think is correct. Some questions may have more than one correct answer. Click Submit to learn whether the answer you chose is correct or incorrect, and why. If you see this icon Expand button , click it to expand the window then click anywhere in the window to close it. When you reach the end, you can review the answers and retake the quiz.

Did you choose an incorrect answer? Refresh your knowledge by checking out the table below for related study material.

Question 1	Learn more about the importance of data quality in the module, Responsible Creation of Artificial Intelligence.
Question 2	Study up on the role data plays in AI models in the Artificial Intelligence Fundamentals module.
Question 3	Examine the dimensions of data quality in the article, What Is Data Freshness? Definitions, Examples, and Best Practices.
Question 4	Explore how data sets should be selected for AI models by reviewing the blog post, Meet Salesforce’s Trusted AI Principles.

Exam Topic Flashcards

The following flashcards cover Data in AI. Use these interactive flashcards to brush up on some of the key topics you'll find on this part of the exam.

Read the question or term on each card, then click or tap on the card to reveal the correct answer. Click the right-facing arrow to move to the next card, and the left-facing arrow to return to the previous card.

Do you need to brush up on your knowledge of the topics covered in the flashcards? Check out the table below for related study material.

Flashcard 1	Learn more about data leakage in the blog post, Dirty Data or Biased Data? Ethical AI Basics for Non Data Scientists.
Flashcards 2 & 3	Explore insights into your data and study predictions and outcomes in the Einstein Discovery Basics module.
Flashcard 4	Learn how Einstein Discovery works by taking the Einstein Discovery: Quick Look module.

Looking for more information? Continue your learning by exploring this handy list of related badges.

Badge	Content Type
Data Quality	Module
Artificial Intelligence Fundamentals	Module
Responsible Creation of Artificial Intelligence	Module
Einstein Discovery: Quick Look	Module
Einstein Discovery Basics	Module
Ethical Model Development with Einstein Discovery: Quick Look	Module