CAIP Certnexus Question And Answers
Which of the following concepts refers to actionable intelligence?
l l l l l l l l
Wisdom
Data
Knowledge
Information - ANS>>Knowledge l l
Knowledge is actionable intelligence because it can reveal some action that must be taken.
l l l l l l l l l l l l l
You have a dataset of customer information, such as a customer's location, spending habits, product reviews,
l l l l l l l l l l l l l l l
and so forth. While you don't have anything specific to predict, you want to engage in customer segmentation
l l l l l l l l l l l l l l l l l l
so that customers with similarities are considered a unified audience in your targeted marketing campaigns.
l l l l l l l l l l l l l l l
Which type of machine learning outcome is most appropriate for this situation?
l l l l l l l l l l l l
Dimensionality reduction l
Classification
Regression
Clustering - ANS>>Clustering l l
Clustering is a type of unsupervised learning that groups together data points with similarities, and is
l l l l l l l l l l l l l l l
therefore an excellent outcome when the goal is customer segmentation.
l l l l l l l l l l
Which of the following describes the relationship between a machine learning model and a machine learning
l l l l l l l l l l l l l l l
algorithm?
l
A machine learning model represents the input data before it is fed into a machine learning algorithm.
l l l l l l l l l l l l l l l l
A machine learning model generates a machine learning algorithm through training.
l l l l l l l l l l
A machine learning model is the sum of multiple machine learning algorithms.
l l l l l l l l l l l
A machine learning model is created by applying a machine learning algorithm to input data. - ANS>>A
l l l l l l l l l l l l l l l l
machine learning model is created by applying a machine learning algorithm to input data.
l l l l l l l l l l l l l l
,The algorithm is a set of rules upon which the model is built. The model uses these rules to estimate something
l l l l l l l l l l l l l l l l l l l l
about the world through available data. Think of an algorithm as a blueprint or recipe, and the model as the
l l l l l l l l l l l l l l l l l l l l
finished building when given resources or the finished meal when given ingredients.
l l l l l l l l l l l l
What does it mean for a machine learning model to be "stochastic"? - ANS>>The same input can produce
l l l l l l l l l l l l l l l l l
different outputs over multiple training sessions.
l l l l l l
Which of the following is a Python tool that provides a frontend environment to the TensorFlow deep learning
l l l l l l l l l l l l l l l l l
library?
l
SciPy
Apache Spark MLlib l l
Keras
PyTorch - ANS>>Keras l l
Keras is a high-level interface into TensorFlow, and is particularly useful for beginners new to deep learning.
l l l l l l l l l l l l l l l l
SciPy is a component of the Python data science stack that provides mathematical functions, not a frontend to
l l l l l l l l l l l l l l l l l
TensorFlow.
l
PyTorch is a deep learning library that is similar to TensorFlow, but it is not a frontend to TensorFlow.
l l l l l l l l l l l l l l l l l l
Apache Spark MLlib is a framework for machine learning that leverages clustering computing, not a frontend
l l l l l l l l l l l l l l l
to TensorFlow.
l l
Which of the following cloud services is used as a teaching tool for reinforcement learning?
l l l l l l l l l l l l l l
AWS DeepRacer
l
Cloud AutoML l
Watson OpenScale l
Azure Databricks - ANS>>AWS DeepRacer
l l l l
AWS DeepRacer promotes reinforcement learning to beginners by enabling them to train a toy race car.
l l l l l l l l l l l l l l l
Watson OpenScale is an enterprise-grade AI project management platform, not a service that teaches
l l l l l l l l l l l l l
reinforcement learning to beginners.
l l l l
, Cloud AutoML is a managed machine learning service that is beginner friendly, but it doesn't promote
l l l l l l l l l l l l l l l
reinforcement learning in particular.
l l l l
Azure Databricks is a managed machine learning and deep learning service, not a service that teaches
l l l l l l l l l l l l l l l
reinforcement learning to beginners.
l l l l
Which of the following graphics processing units (GPUs) supports the proprietary Compute Unified Device
l l l l l l l l l l l l l
Architecture (CUDA) used in applications like deep learning?
l l l l l l l l
Intel Xe series l l
ARM Mali series l l
Nvidia GeForce series l l
AMD RX series - ANS>>Nvidia GeForce series
l l l l l l
CUDA is a proprietary Nvidia standard, and is usable by modern GPUs in the GeForce line.
l l l l l l l l l l l l l l l
AMD GPUs do not support CUDA.
l l l l l
Attrition bias - ANS>>occurs when participants drop out of a long-term experiment or study
l l l l l l l l l l l l l
prejudice, bias - ANS>>a result of training data that is influenced by cultural or other stereotypes
l l l l l l l l l l l l l l l
Which of the following is an example of an inference attack?
l l l l l l l l l l
A customer database includes name and address information. An attacker is able to find the address of a
l l l l l l l l l l l l l l l l l
specific customer just by looking up their name.
l l l l l l l l
An account database includes user names and cryptographically secured passwords. An attacker finds a
l l l l l l l l l l l l l
database on the Internet that matches plaintext passwords with their secured versions, enabling the attacker
l l l l l l l l l l l l l l l
to steal users' credentials.
l l l l
A donation contact list for a political candidate is filtered to only show people from a particular area code.
l l l l l l l l l l l l l l l l l l
However, an attacker is able to reverse this filter to see the entire list of contacts, regardless of area code.
l l l l l l l l l l l l l l l l l l l l
An employee database is sorted by salary, but those salary figures have since been removed. Still, an attacker
l l l l l l l l l l l l l l l l l
is able to figure out how much money a specific employee makes. - ANS>>An employee database is sorted by
l l l l l l l l l l l l l l l l l l l
Which of the following concepts refers to actionable intelligence?
l l l l l l l l
Wisdom
Data
Knowledge
Information - ANS>>Knowledge l l
Knowledge is actionable intelligence because it can reveal some action that must be taken.
l l l l l l l l l l l l l
You have a dataset of customer information, such as a customer's location, spending habits, product reviews,
l l l l l l l l l l l l l l l
and so forth. While you don't have anything specific to predict, you want to engage in customer segmentation
l l l l l l l l l l l l l l l l l l
so that customers with similarities are considered a unified audience in your targeted marketing campaigns.
l l l l l l l l l l l l l l l
Which type of machine learning outcome is most appropriate for this situation?
l l l l l l l l l l l l
Dimensionality reduction l
Classification
Regression
Clustering - ANS>>Clustering l l
Clustering is a type of unsupervised learning that groups together data points with similarities, and is
l l l l l l l l l l l l l l l
therefore an excellent outcome when the goal is customer segmentation.
l l l l l l l l l l
Which of the following describes the relationship between a machine learning model and a machine learning
l l l l l l l l l l l l l l l
algorithm?
l
A machine learning model represents the input data before it is fed into a machine learning algorithm.
l l l l l l l l l l l l l l l l
A machine learning model generates a machine learning algorithm through training.
l l l l l l l l l l
A machine learning model is the sum of multiple machine learning algorithms.
l l l l l l l l l l l
A machine learning model is created by applying a machine learning algorithm to input data. - ANS>>A
l l l l l l l l l l l l l l l l
machine learning model is created by applying a machine learning algorithm to input data.
l l l l l l l l l l l l l l
,The algorithm is a set of rules upon which the model is built. The model uses these rules to estimate something
l l l l l l l l l l l l l l l l l l l l
about the world through available data. Think of an algorithm as a blueprint or recipe, and the model as the
l l l l l l l l l l l l l l l l l l l l
finished building when given resources or the finished meal when given ingredients.
l l l l l l l l l l l l
What does it mean for a machine learning model to be "stochastic"? - ANS>>The same input can produce
l l l l l l l l l l l l l l l l l
different outputs over multiple training sessions.
l l l l l l
Which of the following is a Python tool that provides a frontend environment to the TensorFlow deep learning
l l l l l l l l l l l l l l l l l
library?
l
SciPy
Apache Spark MLlib l l
Keras
PyTorch - ANS>>Keras l l
Keras is a high-level interface into TensorFlow, and is particularly useful for beginners new to deep learning.
l l l l l l l l l l l l l l l l
SciPy is a component of the Python data science stack that provides mathematical functions, not a frontend to
l l l l l l l l l l l l l l l l l
TensorFlow.
l
PyTorch is a deep learning library that is similar to TensorFlow, but it is not a frontend to TensorFlow.
l l l l l l l l l l l l l l l l l l
Apache Spark MLlib is a framework for machine learning that leverages clustering computing, not a frontend
l l l l l l l l l l l l l l l
to TensorFlow.
l l
Which of the following cloud services is used as a teaching tool for reinforcement learning?
l l l l l l l l l l l l l l
AWS DeepRacer
l
Cloud AutoML l
Watson OpenScale l
Azure Databricks - ANS>>AWS DeepRacer
l l l l
AWS DeepRacer promotes reinforcement learning to beginners by enabling them to train a toy race car.
l l l l l l l l l l l l l l l
Watson OpenScale is an enterprise-grade AI project management platform, not a service that teaches
l l l l l l l l l l l l l
reinforcement learning to beginners.
l l l l
, Cloud AutoML is a managed machine learning service that is beginner friendly, but it doesn't promote
l l l l l l l l l l l l l l l
reinforcement learning in particular.
l l l l
Azure Databricks is a managed machine learning and deep learning service, not a service that teaches
l l l l l l l l l l l l l l l
reinforcement learning to beginners.
l l l l
Which of the following graphics processing units (GPUs) supports the proprietary Compute Unified Device
l l l l l l l l l l l l l
Architecture (CUDA) used in applications like deep learning?
l l l l l l l l
Intel Xe series l l
ARM Mali series l l
Nvidia GeForce series l l
AMD RX series - ANS>>Nvidia GeForce series
l l l l l l
CUDA is a proprietary Nvidia standard, and is usable by modern GPUs in the GeForce line.
l l l l l l l l l l l l l l l
AMD GPUs do not support CUDA.
l l l l l
Attrition bias - ANS>>occurs when participants drop out of a long-term experiment or study
l l l l l l l l l l l l l
prejudice, bias - ANS>>a result of training data that is influenced by cultural or other stereotypes
l l l l l l l l l l l l l l l
Which of the following is an example of an inference attack?
l l l l l l l l l l
A customer database includes name and address information. An attacker is able to find the address of a
l l l l l l l l l l l l l l l l l
specific customer just by looking up their name.
l l l l l l l l
An account database includes user names and cryptographically secured passwords. An attacker finds a
l l l l l l l l l l l l l
database on the Internet that matches plaintext passwords with their secured versions, enabling the attacker
l l l l l l l l l l l l l l l
to steal users' credentials.
l l l l
A donation contact list for a political candidate is filtered to only show people from a particular area code.
l l l l l l l l l l l l l l l l l l
However, an attacker is able to reverse this filter to see the entire list of contacts, regardless of area code.
l l l l l l l l l l l l l l l l l l l l
An employee database is sorted by salary, but those salary figures have since been removed. Still, an attacker
l l l l l l l l l l l l l l l l l
is able to figure out how much money a specific employee makes. - ANS>>An employee database is sorted by
l l l l l l l l l l l l l l l l l l l
