dell D-DS-FN-23 Exam Questions
Questions for the D-DS-FN-23 were updated on : Nov 21 ,2025
Page 1 out of 4. Viewing questions 1-15 out of 59
Question 1
What is the primary role of a business intelligence analyst on an analytics project?
- A. Extracts business data from source systems
- B. Ensures business milestones are met
- C. Provides business-domain expertise
- D. Defines business goals for the analytics project
Answer:
C
Question 2
You build a decision tree to classify five different types of customers based on their browsing history
from a sample of 500. The resulting decision tree has 17 layers. One of the leaf nodes has only three
customers.
What do you conclude?
- A. The decision tree needs to be rebuilt without the three customers
- B. The decision tree needs to be rebuilt to see if the results change
- C. The sample size is too small, so the classes may not be accurate
- D. Due to large number of layers, there may be an overfitting problem
Answer:
D
Question 3
What are three built-in data types in the R programming language?
- A. Boolean, integer, and character
- B. Boolean, table, and character
- C. Boolean, table, and integer
- D. List, array, and integer
Answer:
A
Question 4
Refer to Exhibit.
Refer to the exhibit, which shows pairwise counts for items purchased together.
Consider the following association rule: Milk -> Eggs
What is value of the lift?
- A. 1.18
- B. 0.264
- C. 120
- D. 70.81
Answer:
A
Question 5
Which component of a final presentation provides a succinct overview of the business situation that
was the impetus to initiate the project?
- A. Model description
- B. Approach
- C. Project goals
- D. Recommendations
Answer:
C
Question 6
When building a K-means clustering model, you notice that the clusters did not segment on variables
that you expected. What should you do?
- A. Decrease the value of K
- B. Multiply each variable by its standard deviation
- C. Add the WSS to each variable
- D. Check that the data was properly scaled
Answer:
D
Question 7
What is a benefit of Spark in-memory data processing as opposed to using MapReduce?
- A. Avoids writing intermediate data to disk, which speeds up processing
- B. Supports processing unstructured data, which MapReduce does not allow
- C. Removes the need to use disks at all, which reduces cost
- D. Allows parallel processing, which MapReduce does not support
Answer:
A
Question 8
In which programming language is Hadoop written?
- A. C++
- B. Scala
- C. Java
- D. Python
Answer:
C
Question 9
When should you consider using multinomial logistic regression over binary logistic regression?
- A. Dependent variable is continuous or dichotomous
- B. Dependent variable is continuous or categorical
- C. Dependent variable has more than two categories
- D. Dependent variable is continuous only
Answer:
C
Question 10
Which SQL set operator returns rows that exist in the first SELECT statement answer set but not in the
second SELECT statement?
- A. EXCEPT
- B. UNION
- C. UNION ALL
- D. INTERSECT
Answer:
A
Question 11
What are good reasons to develop a naïve Bayes classifier model?
- A. Handles correlated variables and handles missing variables
- B. Handles categorical variables and handles numeric variables
- C. Well calibrated and easy to implement
- D. Handles very high dimensional data and resistant to over-fitting
Answer:
D
Question 12
Refer to Exhibit.
Refer to the exhibit.
To predict whether or not a customer will renew their annual property insurance policy, an insurance
company built and operationalized a naïve Bayes classification model. In the model, there are two
class labels, renewal and non-renewal, that are assigned to each customer based on their attributes.
A subset of the key attributes, their values, and corresponding conditional probabilities are provided
in the exhibit.
A customer has the following attributes:
● Age is greater than 65 years
● Owns their own home
● Renewal month is August
If 20% of customers do not renew the police every year, what is the score for a renewal in the naïve
Bayesian model for the customer described above?
- A. 0.0022
- B. 0 0027
- C. 0.0270
- D. 0.0216
Answer:
D
Question 13
In addition to quantitative and technical skills, what is a key aspect of the profile of a data scientist?
- A. Project management and administrative skills
- B. Proficient in Microsoft Project and Excel
- C. Skeptical and critical thinking
- D. Accounting and regulatory skills
Answer:
C
Question 14
MapReduce is designed to process data in which way?
- A. A few large files split into blocks processed in parallel across multiple machines
- B. Many small files processed serially on one machine
- C. A few large files split into blocks processed serially on one machine
- D. Many small files processed in parallel across multiple machines
Answer:
A
Question 15
In the data preparation phase of the data analytics lifecycle, what does the term “data conditioning”
refer to?
- A. Building training and testing datasets
- B. Identifying relationships and correlations among variables
- C. Deploying the model and monitoring its performance
- D. Cleaning the data, normalizing datasets. and performing transformations
Answer:
D