CertNexus Certified Artificial Intelligence
Practitioner (CAIP) exam questions with
verified correct answers latest update
2025
Which of the following concepts refers to actionable intelligence?
Wisdom
Data
Knowledge
Information --- correct answer ---Knowledge
Knowledge is actionable intelligence because it can reveal some action
that must be taken.
You have a dataset of customer information, such as a customer's
location, spending habits, product reviews, and so forth. While you
don't have anything specific to predict, you want to engage in
customer segmentation so that customers with similarities are
,considered a unified audience in your targeted marketing campaigns.
Which type of machine learning outcome is most appropriate for this
situation?
Dimensionality reduction
Classification
Regression
Clustering --- correct answer ---Clustering
Clustering is a type of unsupervised learning that groups together
data points with similarities, and is therefore an excellent outcome
when the goal is customer segmentation.
Which of the following describes the relationship between a machine
learning model and a machine learning algorithm?
A machine learning model represents the input data before it is fed
into a machine learning algorithm.
A machine learning model generates a machine learning algorithm
through training.
,A machine learning model is the sum of multiple machine learning
algorithms.
A machine learning model is created by applying a machine learning
algorithm to input data. --- correct answer ---A machine learning
model is created by applying a machine learning algorithm to input
data.
The algorithm is a set of rules upon which the model is built. The
model uses these rules to estimate something about the world through
available data. Think of an algorithm as a blueprint or recipe, and the
model as the finished building when given resources or the finished
meal when given ingredients.
What does it mean for a machine learning model to be "stochastic"? --
- correct answer ---The same input can produce different outputs over
multiple training sessions.
Which of the following is a Python tool that provides a frontend
environment to the TensorFlow deep learning library?
, SciPy
Apache Spark MLlib
Keras
PyTorch --- correct answer ---Keras
Keras is a high-level interface into TensorFlow, and is particularly
useful for beginners new to deep learning.
SciPy is a component of the Python data science stack that provides
mathematical functions, not a frontend to TensorFlow.
PyTorch is a deep learning library that is similar to TensorFlow, but it
is not a frontend to TensorFlow.
Apache Spark MLlib is a framework for machine learning that
leverages clustering computing, not a frontend to TensorFlow.
Which of the following cloud services is used as a teaching tool for
reinforcement learning?
AWS DeepRacer
Cloud AutoML
Practitioner (CAIP) exam questions with
verified correct answers latest update
2025
Which of the following concepts refers to actionable intelligence?
Wisdom
Data
Knowledge
Information --- correct answer ---Knowledge
Knowledge is actionable intelligence because it can reveal some action
that must be taken.
You have a dataset of customer information, such as a customer's
location, spending habits, product reviews, and so forth. While you
don't have anything specific to predict, you want to engage in
customer segmentation so that customers with similarities are
,considered a unified audience in your targeted marketing campaigns.
Which type of machine learning outcome is most appropriate for this
situation?
Dimensionality reduction
Classification
Regression
Clustering --- correct answer ---Clustering
Clustering is a type of unsupervised learning that groups together
data points with similarities, and is therefore an excellent outcome
when the goal is customer segmentation.
Which of the following describes the relationship between a machine
learning model and a machine learning algorithm?
A machine learning model represents the input data before it is fed
into a machine learning algorithm.
A machine learning model generates a machine learning algorithm
through training.
,A machine learning model is the sum of multiple machine learning
algorithms.
A machine learning model is created by applying a machine learning
algorithm to input data. --- correct answer ---A machine learning
model is created by applying a machine learning algorithm to input
data.
The algorithm is a set of rules upon which the model is built. The
model uses these rules to estimate something about the world through
available data. Think of an algorithm as a blueprint or recipe, and the
model as the finished building when given resources or the finished
meal when given ingredients.
What does it mean for a machine learning model to be "stochastic"? --
- correct answer ---The same input can produce different outputs over
multiple training sessions.
Which of the following is a Python tool that provides a frontend
environment to the TensorFlow deep learning library?
, SciPy
Apache Spark MLlib
Keras
PyTorch --- correct answer ---Keras
Keras is a high-level interface into TensorFlow, and is particularly
useful for beginners new to deep learning.
SciPy is a component of the Python data science stack that provides
mathematical functions, not a frontend to TensorFlow.
PyTorch is a deep learning library that is similar to TensorFlow, but it
is not a frontend to TensorFlow.
Apache Spark MLlib is a framework for machine learning that
leverages clustering computing, not a frontend to TensorFlow.
Which of the following cloud services is used as a teaching tool for
reinforcement learning?
AWS DeepRacer
Cloud AutoML
