ISACA Data Science Fundamentals:
Exam Details, Tips and Questions
Make Data Science Fundamentals Certification Exam Easy with edusum.com
Data Science Fundamentals Exam Detail
Exam Code
Data Science Fundamentals
Full Exam Name
ISACA Data Science Fundamentals
Number of Questions 60
Practice Exams
ISACA Data Science Fundamentals Certification
Practice Exam
Passing Score
65%
Time Limit
120 mins
Books / Training
Data Science Fundamentals Online Course
Data Science Fundamentals Study Guide
Enjoy success with Edusum.com
How to Prepare for Data Science Fundamentals?
• Perform enough practice with ISACA system with related ISACA Data Science
Fundamentals certification subjects
• Identify the key configuration, workflow and data flow
• Understand the all Syllabus Topics of Exam.
• Identify your weak areas from practice test and do more practice with system
• Repeat practice exams and try to score 100% on www.edusum.com
Enjoy success with Edusum.com
ISACA Data Science
Fundamentals
Exam Questions
Enjoy success with Edusum.com
Q 1) In data visualization, what does a 'heatmap' typically represent?
Option.
a) Geographical distributions
b) Trends over time
c) Relationships between two variables
d) Data density through variations in coloring
Enjoy success with Edusum.com
ANSWER
d) Data density through variations in coloring
Enjoy success with Edusum.com
Q 2) What type of machine learning algorithm would be best suited for
creating a system that suggests products based on customer buying
history?
Option.
a) Unsupervised learning
b) Supervised learning
c) Reinforcement learning
d) Semi-supervised learning
Enjoy success with Edusum.com
ANSWER
b) Supervised learning
Enjoy success with Edusum.com
Q 3) In the context of data science, what is 'model validation'?
Option.
a) Documenting the steps involved in building the model
b) The process of ensuring a model operates within certain
parameters
c) Testing a model on new data to check its performance
d) Integrating the model with existing databases
Enjoy success with Edusum.com
ANSWER
c) Testing a model on new data to check its performance
Enjoy success with Edusum.com
Q 4) CRISP-DM stands for what in the context of a data science
project?
Option.
a) Cross-Industry Standard Process for Data Management
b) Cross-Industry Standard Practice for Data Mining
c) Cross-Industry Standard Process for Data Mining
d) Cross-Industry Systematic Protocol for Data Management
Enjoy success with Edusum.com
ANSWER
c) Cross-Industry Standard Process for Data Mining
Enjoy success with Edusum.com
Q 5) What is the main purpose of data lifecycle management (DLM)?
Option.
a) To define processes for resolving data breaches
b) To manage data from creation to deletion
c) To increase data transparency only
d) To ensure data is never archived
Enjoy success with Edusum.com
ANSWER
b) To manage data from creation to deletion
Enjoy success with Edusum.com
More Info on ISACA Certification
•
For more information on ISACA Certification please refer to FAQs
•
A ISACA certification is increasingly becoming important for the career
of employees
•
The fees information are for the informative purposes and do not serve
as an official offering and are subject to change
•
Focus on the guide for online registration and you will very soon find it
out
Enjoy success with Edusum.com
More Info on ISACA Certification
VISIT www.edusum.com