Exam objective
GAILData types and their business implications
This objective sits in Fundamentals of gen AI, which carries 30% of the Generative AI Leader exam. The questions below are original, written from the official objective title above, and each explanation cites the Google Cloud page it rests on.
Objective title verbatim from the official objectives. Google Cloud exam page ↗
A worked example
Shown solved, with the whole explanation open: this is what every question here carries.
A bank stores customer records in relational tables and wants the correct term. What data type is this?
Correct.
Concept
Information that lives in neat rows and columns, like a relational table, is organized enough to query directly. Its fixed schema is what makes it quick to sort and search.
Why A
Relational table records are the classic example of structured data.
Source
Google Cloud, Generative AI Leader study guide, checked August 2026Structured data: Data that is organized and easy to search, often stored in relational databases.
Now you: practice questions
No account needed. The explanation opens when you answer.
Sample question 1 of 3
A media firm holds raw audio recordings and unsorted photos with no tags. Which term applies to this data?
Sample question 2 of 3
What is labeled data?
Sample question 3 of 3
A leader wants a plain definition of quality data before starting a project. Which set of traits does the vendor list?
That’s 3 of the full Generative AI Leader bank.
Keep going free: 10 questions per certification in bank practice, with no account.
Continue practisingRead the sources
These are the official pages the questions above cite. Reading them is studying the objective from the primary source, which is what the explanations point you toward anyway.