GOOGLE AI CERTIFICATION EXAM 2025 WITH 100%
ACCURATE SOLUTIONS
A spreadsheet that calculates sums and other pre-defined functions on given data - ✅✅✅CORRECT -
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 - ✅✅✅CORRECT -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 - ✅✅✅CORRECT -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 - ✅✅✅CORRECT -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 - ✅✅✅CORRECT -No [Storing and retrieving specific items
from a data collection is neither adaptive or autonomous.]
Photo editing features such as brightness and contrast in applications such as Photoshop -
✅✅✅CORRECT -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, ...) - ✅✅✅CORRECT -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.) - ✅✅✅CORRECT -Section B
, Where would you put machine learning? (Machine learning is usually considered to be a part of AI) -
✅✅✅CORRECT -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.) - ✅✅✅CORRECT -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.) - ✅✅✅CORRECT -Section E
Where would you put deep learning? (Deep learning is a part of machine learning.) - ✅✅✅CORRECT
-Section D
Autonomous car - ✅✅✅CORRECT -Autonomous cars apply a wide range of techniques to function.
These include statistics, robotics, and machine learning.
Steering a rocket into orbit - ✅✅✅CORRECT -Robotics. (In order to steer a rocket into orbit robotics
are needed to fire the engines at the right times and with the right power.)
Online ad optimization - ✅✅✅CORRECT -Statistics and Machine Learning. (In order to optimize ads
online, machine learning and statistics are needed to deliver the correct type of ads to the right
audience, and to measure the effectiveness of the optimization.)
Customer service chatbot - ✅✅✅CORRECT -Machine learning (A customer service chatbot will need
machine learning to process human produced language in such a way that it can act on it.)
Summarizing gallup results - ✅✅✅CORRECT -Statistics (Summarizing gallup results is a classical case
of using statistics to produce insights.)
Philosophy of AI - ✅✅✅CORRECT -The definition of AI I like best is that AI is an autonomous and
adaptive system. The reason why I think this is the best definition is that it covers most of the AI
ACCURATE SOLUTIONS
A spreadsheet that calculates sums and other pre-defined functions on given data - ✅✅✅CORRECT -
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 - ✅✅✅CORRECT -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 - ✅✅✅CORRECT -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 - ✅✅✅CORRECT -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 - ✅✅✅CORRECT -No [Storing and retrieving specific items
from a data collection is neither adaptive or autonomous.]
Photo editing features such as brightness and contrast in applications such as Photoshop -
✅✅✅CORRECT -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, ...) - ✅✅✅CORRECT -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.) - ✅✅✅CORRECT -Section B
, Where would you put machine learning? (Machine learning is usually considered to be a part of AI) -
✅✅✅CORRECT -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.) - ✅✅✅CORRECT -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.) - ✅✅✅CORRECT -Section E
Where would you put deep learning? (Deep learning is a part of machine learning.) - ✅✅✅CORRECT
-Section D
Autonomous car - ✅✅✅CORRECT -Autonomous cars apply a wide range of techniques to function.
These include statistics, robotics, and machine learning.
Steering a rocket into orbit - ✅✅✅CORRECT -Robotics. (In order to steer a rocket into orbit robotics
are needed to fire the engines at the right times and with the right power.)
Online ad optimization - ✅✅✅CORRECT -Statistics and Machine Learning. (In order to optimize ads
online, machine learning and statistics are needed to deliver the correct type of ads to the right
audience, and to measure the effectiveness of the optimization.)
Customer service chatbot - ✅✅✅CORRECT -Machine learning (A customer service chatbot will need
machine learning to process human produced language in such a way that it can act on it.)
Summarizing gallup results - ✅✅✅CORRECT -Statistics (Summarizing gallup results is a classical case
of using statistics to produce insights.)
Philosophy of AI - ✅✅✅CORRECT -The definition of AI I like best is that AI is an autonomous and
adaptive system. The reason why I think this is the best definition is that it covers most of the AI
