GOOGLE AI CERTIFICATION EXAM
2025/2026 QUESTIONS AND ANSWERS
100% PASS
A spreadsheet that calculates sums and other pre-defined functions on given data - ANS No
(not AI) [The outcome is determined by the user-specified formula, no AI needed.]
Predicting the stock market by fitting a curve to past data about stock prices - ANS Kind
of/no/yes [Fitting a simple curve is not really AI, but there are so many different curves to
choose from, even if there's a lot of data to constrain them, that one needs machine learning/AI
to get useful results.]
A GPS navigation system for finding the fastest route - ANS Kind of/no/yes [the signal
processing and geometry used to determine the coordinates isn't AI, but providing good
suggestions for navigation (shortest/fastest routes) is AI, especially if variables such as traffic
conditions are taken into account.]
A music recommendation system such as Spotify that suggests music based on the users'
listening behavior - ANS Yes [The system learns from the users' (not only your) listening
behavior.]
Big data storage solutions that can store huge amounts of data (such as images or video) and
stream them to many users at the same time - ANS No [Storing and retrieving specific items
from a data collection is neither adaptive or autonomous.]
1 @COPYRIGHT 2025/2026 ALLRIGHTS RESERVED
, Photo editing features such as brightness and contrast in applications such as Photoshop -
ANS kind of & no [Adjustments such as color balance, contrast, and so on, are neither
adaptive nor autonomous, but the developers of the application may use some AI to
automatically tune the filters.]
Style transfer filters in applications such as Prisma that take a photo and transform it into
different art styles (impressionist, cubist, ...) - ANS Yes [Such methods typically learn image
statistics (read: what small patches of the image in a certain style look like up close) and
transform the input photo so that its statistics match the style, so the system is adaptive.]
Where would you put AI? (AI is a part of computer science.) - ANS Section B
Where would you put machine learning? (Machine learning is usually considered to be a part of
AI) - ANS Section C
Where would you put computer science? (Computer science is a relatively broad field that
includes AI but also other subfields such as distributed computing, human-computer
interaction, and software engineering.) - ANS Section A
Where would you put data science? (Data science needs computer science and AI. However, it
also involves a lot of statistics, business, law, and other application domains, so it is usually not
considered to be a part of computer science.) - ANS Section E
Where would you put deep learning? (Deep learning is a part of machine learning.) -
ANS Section D
Autonomous car - ANS Autonomous cars apply a wide range of techniques to function. These
include statistics, robotics, and machine learning.
2 @COPYRIGHT 2025/2026 ALLRIGHTS RESERVED
2025/2026 QUESTIONS AND ANSWERS
100% PASS
A spreadsheet that calculates sums and other pre-defined functions on given data - ANS No
(not AI) [The outcome is determined by the user-specified formula, no AI needed.]
Predicting the stock market by fitting a curve to past data about stock prices - ANS Kind
of/no/yes [Fitting a simple curve is not really AI, but there are so many different curves to
choose from, even if there's a lot of data to constrain them, that one needs machine learning/AI
to get useful results.]
A GPS navigation system for finding the fastest route - ANS Kind of/no/yes [the signal
processing and geometry used to determine the coordinates isn't AI, but providing good
suggestions for navigation (shortest/fastest routes) is AI, especially if variables such as traffic
conditions are taken into account.]
A music recommendation system such as Spotify that suggests music based on the users'
listening behavior - ANS Yes [The system learns from the users' (not only your) listening
behavior.]
Big data storage solutions that can store huge amounts of data (such as images or video) and
stream them to many users at the same time - ANS No [Storing and retrieving specific items
from a data collection is neither adaptive or autonomous.]
1 @COPYRIGHT 2025/2026 ALLRIGHTS RESERVED
, Photo editing features such as brightness and contrast in applications such as Photoshop -
ANS kind of & no [Adjustments such as color balance, contrast, and so on, are neither
adaptive nor autonomous, but the developers of the application may use some AI to
automatically tune the filters.]
Style transfer filters in applications such as Prisma that take a photo and transform it into
different art styles (impressionist, cubist, ...) - ANS Yes [Such methods typically learn image
statistics (read: what small patches of the image in a certain style look like up close) and
transform the input photo so that its statistics match the style, so the system is adaptive.]
Where would you put AI? (AI is a part of computer science.) - ANS Section B
Where would you put machine learning? (Machine learning is usually considered to be a part of
AI) - ANS Section C
Where would you put computer science? (Computer science is a relatively broad field that
includes AI but also other subfields such as distributed computing, human-computer
interaction, and software engineering.) - ANS Section A
Where would you put data science? (Data science needs computer science and AI. However, it
also involves a lot of statistics, business, law, and other application domains, so it is usually not
considered to be a part of computer science.) - ANS Section E
Where would you put deep learning? (Deep learning is a part of machine learning.) -
ANS Section D
Autonomous car - ANS Autonomous cars apply a wide range of techniques to function. These
include statistics, robotics, and machine learning.
2 @COPYRIGHT 2025/2026 ALLRIGHTS RESERVED
