DATA SCIENCE FOUNDATIONS
FUNDAMENTALS EXAM 48 QUESTIONS WITH
VERIFIED ANSWERS 2025/2026
K-means and k-nearest neighbors - CORRECT ANSWER Which two methods are
common algorithms for classifying new cases into existing categories?
All these answers - CORRECT ANSWER Data science methods can contribute to
business intelligence by which tasks?
hacking/programming, math’s/statistics and other domain expertise - CORRECT
ANSWER According to Drew Conway data science Venn diagram, what elements
make up data science?
A professional data scientist should be comfortable with both Python and R, as
well as several other..... science - CORRECT ANSWER People frequently ask
whether they should learn python or r to do data science. what is the answer that
this video gives to this question?
Identifying new markets with potential value - CORRECT ANSWER While anomaly
detection is normally associated with negative outcomes like fraud or machine
failure, it is more flexible than that. which is the following being a positive
outcome in anomaly detection?
API routes the data, translates it, and prepares it for use - CORRECT ANSWER
What is application programming interface (API)?
, neurons that are inside a biological brain - CORRECT ANSWER What are artificial
neural networks modeled after?
You don't need to own or maintain hardware, which can be flexibly allocated to
your project - CORRECT ANSWER Like general "software-as-a-service" or "SaaS,"
what is one of the major attractions of "machine-learning-as-a-service" or
"males"?
reducing noise in the data - CORRECT ANSWER Which is a major goal of
dimensionality reduction?
Certain restrictions on data usage may not apply - CORRECT ANSWER What is an
advantage of in-house data for data science projects?
Audience segmentation - CORRECT ANSWER Which is a common application of
cluster analysis?
Decision trees explicitly define binary decisions at each step in the data to reach
the outcome these decisions can then be used in other contexts - CORRECT
ANSWER How do decision trees provide rules for decision-making?
No, because human-inaccessible decisions are not a way in which data science
contributes to the interplay of human and artificial intelligence - CORRECT
ANSWER Do human-inaccessible decisions help data science contribute to the
interplay of human and artificial intelligence?
FUNDAMENTALS EXAM 48 QUESTIONS WITH
VERIFIED ANSWERS 2025/2026
K-means and k-nearest neighbors - CORRECT ANSWER Which two methods are
common algorithms for classifying new cases into existing categories?
All these answers - CORRECT ANSWER Data science methods can contribute to
business intelligence by which tasks?
hacking/programming, math’s/statistics and other domain expertise - CORRECT
ANSWER According to Drew Conway data science Venn diagram, what elements
make up data science?
A professional data scientist should be comfortable with both Python and R, as
well as several other..... science - CORRECT ANSWER People frequently ask
whether they should learn python or r to do data science. what is the answer that
this video gives to this question?
Identifying new markets with potential value - CORRECT ANSWER While anomaly
detection is normally associated with negative outcomes like fraud or machine
failure, it is more flexible than that. which is the following being a positive
outcome in anomaly detection?
API routes the data, translates it, and prepares it for use - CORRECT ANSWER
What is application programming interface (API)?
, neurons that are inside a biological brain - CORRECT ANSWER What are artificial
neural networks modeled after?
You don't need to own or maintain hardware, which can be flexibly allocated to
your project - CORRECT ANSWER Like general "software-as-a-service" or "SaaS,"
what is one of the major attractions of "machine-learning-as-a-service" or
"males"?
reducing noise in the data - CORRECT ANSWER Which is a major goal of
dimensionality reduction?
Certain restrictions on data usage may not apply - CORRECT ANSWER What is an
advantage of in-house data for data science projects?
Audience segmentation - CORRECT ANSWER Which is a common application of
cluster analysis?
Decision trees explicitly define binary decisions at each step in the data to reach
the outcome these decisions can then be used in other contexts - CORRECT
ANSWER How do decision trees provide rules for decision-making?
No, because human-inaccessible decisions are not a way in which data science
contributes to the interplay of human and artificial intelligence - CORRECT
ANSWER Do human-inaccessible decisions help data science contribute to the
interplay of human and artificial intelligence?
