Dell D-DS-FN-23 Practice Exam Questions & Answers

7 Free Questions Last reviewed October 24, 2026 Prepared & Reviewed by the ValidExamDumps Editorial Team

59 Practice Questions (Our Bank)
90 minutes Exam Duration
60% Passing Score
USD 230 Official Exam Fee
Exam Facts

Dell D-DS-FN-23 Exam Details

Key details for this exam, checked against the published exam outline

Exam Code
D-DS-FN-23
Full Name
Dell Certified Data Science Foundations
Issuing Body
Dell EMC
Question Format (Our Bank)
Multiple Choice, Drag & Drop
Delivery
Pearson VUE
Full Question Set
59 questions Get All Questions
Practice Questions

Free D-DS-FN-23 Practice Questions

Each question shows the correct answer and an explanation of why it is right

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ValidExamDumps Editorial Team Every question and its answer is checked by our D-DS-FN-23 exam preparation team, who also write the explanation shown with each one. How we research and review these pages

Question 1 Domain 3 Initial Analysis of the Data

Refer to Exhibit.

Question 1 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 nave 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 nave Bayesian model for the customer described above?

Correct Answer D
Explanation Both matrices and arrays in R are homogeneous data structures that can only store a single data type throughout. If you try to mix types like numbers and text, R converts everything to the most general type. The key difference between them is dimensionality - matrices are two-dimensional while arrays can have any number of dimensions. Other options confuse these structures with lists or data frames, which do allow mixed types.

Question 2 Domain 5 Advanced Analytics for Big Data - Technology and Tools

On which type of data should you run K-means clustering?

Correct Answer B
Explanation Spark's in-memory processing keeps data in RAM between operations rather than writing to disk like MapReduce does. This eliminates slow disk I/O operations that were a major bottleneck in Hadoop. The result is significantly faster performance, especially for iterative algorithms that need multiple passes over data. While Spark does require more memory and has fault tolerance mechanisms, the speed advantage from avoiding disk writes is the primary benefit over MapReduce.

Question 3 Domain 4 Advanced Analytics - Theory, Application, and Interpretation of Results for Eight Methods

In ANOVA, what is the null hypothesis for k population means?

Correct Answer A
Explanation Linear regression outputs coefficients for each input variable that quantify their relationship with the outcome. A positive coefficient means the variable increases the predicted outcome, while negative means it decreases it. The magnitude shows the strength of that relationship. Coefficients directly tell you which variables matter most and in what direction they influence predictions. The model also produces other outputs like R-squared and residuals, but coefficients are the core result showing variable impact.

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Question 4 Domain 5 Advanced Analytics for Big Data - Technology and Tools

How should project results be communicated to executives and the project sponsor?

Correct Answer A
Explanation MADlib stands for Multiple Access Design library, an extension for PostgreSQL and other databases that brings machine learning and statistics functions into SQL. The name reflects its design philosophy of allowing multiple access methods to analytics capabilities directly within the database. Some candidates might confuse MAD with acronyms they know, but the correct expansion is specifically Multiple Access Design. Understanding this library is important when studying in-database analytics approaches.

Question 5 Domain 1 Big Data, Analytics, and the Data Scientist Role

You have the data from a popular e-commerce website. You are exploring the time spent (in seconds) on the website by 100,000 customers across 14 different product categories.

What visualization can be used to represent the relationship between time spent and product category?

Correct Answer C
Explanation A business intelligence analyst on the team brings deep knowledge of the business domain, processes, and constraints that shape the analytics project. They translate between technical data scientists and business stakeholders, ensuring that analysis addresses real business problems. While analysts might also handle reporting or data access, their primary value is explaining what matters to the business and how findings should be interpreted in that context. This role is distinct from data engineering or technical implementation roles.

Question 6 Domain 6 Operationalizing an Analytics Project and Data Visualization Techniques

Which Hadoop service responds to requests for compute and memory resources?

Correct Answer C
Explanation Executives and sponsors care about business impact, not technical details or statistical measures. When presenting to this audience, lead with what changed, what it means for revenue or costs, and what actions should follow. Avoid complex methodology or model internals unless specifically asked. Technical audiences want those details, but decision makers need clarity on outcomes and business benefits first. This audience-specific communication is essential for moving analytics from a finished project into actual business operations.

Question 7 Domain 4 Advanced Analytics - Theory, Application, and Interpretation of Results for Eight Methods

In time series analysis, what statement describes a MA(q) process?

Correct Answer A
Explanation Lift measures how much more or less frequently two items occur together compared to pure chance. A lift of 1 means X and Y appear together exactly as often as random probability would predict. A lift of 2 means they appear together twice as often as expected by chance, suggesting a real association. Lift is expressed as a ratio, making it easy to interpret regardless of how common the individual items are. This metric helps distinguish true patterns from coincidences in transaction data or clickstreams.
Study Guide

What the Dell D-DS-FN-23 Exam Covers

Exam domains verified against the Official Dell D-DS-FN-23 exam guide, last checked October 2026.

Domain 1 Big Data, Analytics, and the Data Scientist Role

5%

Candidates learn to define big data characteristics and understand the business drivers behind analytics adoption. This domain covers the core skills and responsibilities expected of data scientists in modern organisations.

Sample question from this domain above Q5

Domain 2 Data Analytics Lifecycle

8%

The exam tests understanding of each phase from discovery through operationalisation, including the specific activities and roles within discovery, data preparation, model planning, and model building. Mastery here ensures candidates grasp the sequential nature of applied analytics work.

Domain 3 Initial Analysis of the Data

15%

Candidates must demonstrate proficiency with basic R commands for data exploration and explain key statistical measures and visualisations. Hypothesis testing theory and practical application of results evaluation are essential skills at this stage.

Sample question from this domain above Q1

Domain 4 Advanced Analytics - Theory, Application, and Interpretation of Results for Eight Methods

40%

This domain dominates the exam and requires deep understanding of k-means clustering, association rules, linear and logistic regression, naive Bayesian classifiers, decision trees, time series analysis, and text analytics. Candidates must not only know each method but interpret results correctly in business contexts.

Sample questions from this domain above Q3Q7

Domain 5 Advanced Analytics for Big Data - Technology and Tools

22%

Coverage spans MapReduce and Apache Hadoop architecture, the broader Hadoop ecosystem with its use cases, in-database analytics, and SQL techniques including window functions, ordered aggregates, and MADlib. Understanding these tools prepares candidates for implementing analytics at scale.

Sample questions from this domain above Q2Q4

Domain 6 Operationalizing an Analytics Project and Data Visualization Techniques

10%

Candidates learn best practices for presenting findings to different audiences and translating analytics into business action. Effective data visualisation and project communication are essential for moving analytics from experiment to production.

Sample question from this domain above Q6

FAQ

D-DS-FN-23 Exam FAQ

Common questions about the exam itself

What job role does the D-DS-FN-23 prepare me for?
The certification validates foundational knowledge needed for entry-level and intermediate data science roles. It demonstrates to employers that you understand the analytics lifecycle, core statistical methods, and big data tools, positioning you for positions like Junior Data Scientist or Analytics Associate.
How difficult is D-DS-FN-23 compared to other data science certifications?
The exam sits between tool-heavy certifications and abstract theoretical qualifications, testing both maths and practical analytics methods without locking you into one vendor's ecosystem. The 40 percent weighting on advanced analytics methods makes this domain the primary difficulty driver.
What background do I need before taking D-DS-FN-23?
You should have basic understanding of statistics and programming, particularly Python and SQL. Hands-on experience running a regression or clustering analysis significantly boosts confidence with the interpretation-heavy questions covering the eight analytical methods.
Which domain of D-DS-FN-23 gives candidates the most trouble?
Advanced Analytics accounts for 40 percent of the exam and demands practical understanding of eight different methods and their real-world application. Candidates struggle most when they memorise methods without working through actual data analysis to build intuition for correct interpretation.
How long should I prepare for D-DS-FN-23?
Preparation time depends on your background, but plan for 6 to 12 weeks of study combining theoretical review with hands-on practice. Candidates with data analysis experience typically need the shorter timeframe, while those new to statistics and analytics require more time on the advanced methods domain.
What is the passing score for D-DS-FN-23 and how is it calculated?
You need to score 60 percent or higher to pass. The exam contains 60 multiple-choice questions, giving you roughly one and a half minutes per question, which is comfortable for recall but tight for the interpretation-heavy advanced analytics section.
Can I retake D-DS-FN-23 if I fail, and what are the rules?
Dell allows retakes, but you will need to purchase a new exam voucher for each attempt. Check with your exam delivery provider Pearson VUE for any waiting periods or policies on retake scheduling.
How long is the D-DS-FN-23 certification valid once I pass?
Dell EMC does not publish a specific validity period for this certification, meaning it does not expire. However, you should stay current with evolving data science practices and tools to keep your skills relevant.
What comes after D-DS-FN-23 in the Dell data science certification track?
The Data Science Foundations credential serves as a stepping stone toward advanced Dell certifications in data engineering, machine learning operations, and industry-specific analytics applications. These follow-on certifications let you deepen expertise in predictive modelling, natural language processing, or real-time analytics.
Where and how do I take the D-DS-FN-23 exam?
The exam is delivered through Pearson VUE, either online with remote proctoring or at a physical test centre. You have 90 minutes to complete 60 multiple-choice questions.

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