Exam objective
GAILOvercoming foundation model limitations
This objective sits in Techniques to improve gen AI model output, which carries 20% 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 model gives outputs that are not accurate or based on real information. Which limitation is this?
Correct.
Concept
Hallucinations occur when AI models produce outputs that are not accurate or grounded in real information.
Why B
Outputs not based on real information define hallucinations.
Source
Google Cloud, Generative AI Leader study guide, checked August 2026Hallucinations: When AI models produce outputs that aren't accurate or based on real information.
Now you: practice questions
No account needed. The explanation opens when you answer.
Sample question 1 of 3
A model lacks information about events after its training date. Which limitation explains this?
Sample question 2 of 3
A hiring model reflects skew present in its training data, and small skews grow in outputs. Which limitation is this?
Sample question 3 of 3
A model fails on rare, atypical scenarios that expose its weaknesses. Which limitation describes these?
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.