What Is D-DS-FN-23 Certification?

What the Code D-DS-FN-23 Actually Identifies

D-DS-FN-23 is the exam code for Dell Data Scientist and Big Data Analytics Foundations 2023, a foundation-level certification exam in the Dell Technologies Proven Professional program. The "DS" refers to data science and "FN" to foundations, and the "23" marks the 2023 exam version. In Dell's current catalog the same exact code is listed under the shorter title Dell Data Science Foundations. This article keeps the longer 2023 name because that is how many candidates, training materials, and older study notes still refer to it.

The credential validates that you understand how data science projects are structured end to end, from framing a business problem through operationalizing a model, and that you can reason about the core statistical and machine learning methods used along the way. It is aimed at people who need working fluency in analytics rather than deep specialization in a single algorithm family.

If you want to see how other pages on this site approach the naming question, the short explainers What Is D-DS-FN-23? and What Does D-DS-FN-23 Stand For? cover the code itself, while this article focuses on the certification and what it takes to earn it.

Who Issues It and Where It Sits

The governing body is Dell Technologies through its Proven Professional certification program. Dell manages credential status in CertTracker, and recognition of your credential follows Dell's current requirements, which can include taking a revised exam when Dell updates the program. That policy framework is documented in Dell Learning's Proven Professional Policies and Guidelines, and it is worth reading once before you commit to an exam date.

The exam is delivered by Pearson VUE, either at a physical test center or through OnVUE online proctoring. Results are computer-scored, but they are described as provisional pending Dell review, so do not treat the on-screen outcome as the final word until Dell confirms it.

For a deeper treatment of the program-level rules, see D-DS-FN-23 Requirements 2026: Eligibility, Prerequisites & How to Qualify.

The Exam at a Glance

Notice what is missing. Dell's exact-code documentation does not state a question count or a cut score, and there is no official pass rate. Many third-party sites quote numbers anyway, often borrowed from the predecessor exam or from resellers. Those figures are not part of Dell's published D-DS-FN-23 details, so plan your preparation around the objectives and weights instead of chasing a rumored threshold. Our pages on the passing score and the pass rate explain what can and cannot be said with confidence.

The Six Domains and Their Weights

Dell publishes six exam objectives with approximate question-distribution weights. These are the single most useful planning tool you have, because they tell you where the points are.

A full walkthrough of each area lives in D-DS-FN-23 Exam Domains 2026: Complete Guide to All 6 Content Areas. Here is the short version of what each one demands.

Why Domain 4 Dominates the Blueprint

At roughly 40%, Domain 4 carries more weight than any other area and is the heart of this exam. The domain title is explicit that it covers theory, application, and interpretation of results for eight methods. That phrasing is a clue about question style: you are not only expected to recall what an algorithm does, but to decide when it fits a problem and to read its output correctly.

When studying this domain, build a mental table for each method with four columns: the type of problem it solves, the key assumptions, how you evaluate it, and what its results mean in plain language. Typical exam-style reasoning looks like this:

• Given a business scenario, which family of method is appropriate: classification, regression, clustering, association, time series, or text analysis?
• Given a described output, such as coefficients, cluster assignments, or a confusion matrix, what conclusion is justified?
• Given a violated assumption, which method becomes unreliable and what is the usual remedy?

Because this domain is so large, it also drives overall difficulty. Our analysis in How Hard Is the D-DS-FN-23 Exam? explores why method interpretation tends to be where preparation succeeds or fails.

Tools in Scope: R, Hadoop/MapReduce, SQL/MADlib

Domain 5 accounts for about 22% and is where the "big data" half of the exam title earns its place. The exact scope includes R, Hadoop/MapReduce, and SQL with MADlib. This is not a vendor-neutral survey; the exam expects you to recognize how these specific technologies are used for analytics at scale.

Expect scenario questions that ask which tool is appropriate for a described workload, or that show a short snippet and ask what it does. You do not need to be a production engineer in all three, but you should be comfortable reading each one. Hands-on time in the recommended lab, discussed below, pays off most in this domain.

Qualifying and Preparing

Dell's stated requirement is straightforward: have sufficient practical knowledge and skills, through experience and/or recommended training, and then pass D-DS-FN-23. There is no mandatory prerequisite certification listed for this exact code, and predecessor prerequisites should not be assumed to apply.

Dell's recommended preparation consists of:

• The Data Science and Big Data Analytics v2 on-demand course (ES732OCMDSBDA)
• The associated lab (ES742OCMDSALN), which gives hands-on practice with the tools in scope
• The accompanying textbook, which is optional

The lab is practice, not a separate graded exam. Passing D-DS-FN-23 is the only assessment event for the credential. For a broader look at resources and study structure, see the D-DS-FN-23 Study Guide 2026 and the page on D-DS-FN-23 training.

Registration, Vouchers, and Test Day Mechanics

Buying and Using a Voucher

Dell certification exams are scheduled through Pearson VUE. The Pearson U.S. voucher store lists the general Dell certification voucher at USD 230. Two details matter: the voucher expires 12 months after purchase, and that expiry is separate from how long your credential remains valid. Buying early without a plan can waste money if the voucher lapses before you test. Pricing can change and regional pricing may differ, so confirm the figure at checkout; our certification cost breakdown goes through the full budget picture.

Test Center or OnVUE

You can test at a Pearson VUE center or online with OnVUE. If you choose online delivery, Pearson requires:

• A passed system test run in advance on the computer you will use
• A matching government-issued photo ID
• A private room without books or notes

Run the system test well before exam day rather than minutes before check-in, so any camera, microphone, or network problem can be fixed without losing your appointment.

If You Do Not Pass

Dell's retake policy sets a wait of 7 days after a first failure and 14 days after later failures. A new voucher or payment is needed for each attempt. Use the waiting period to study the domains where you felt weakest rather than simply re-reading everything. For scheduling logistics, see D-DS-FN-23 Exam Dates 2026.

Sequencing Your Preparation by Domain

The weights suggest an order of attack. Start with the vocabulary domains so later material is not confusing, then spend the bulk of your time where the points are.

Adjust the length to your background. A working analyst may compress the early weeks, while someone new to statistics should lengthen the Domain 3 and Domain 4 blocks. The point is to match time to weight, not to follow a fixed calendar. When you are ready to test yourself under timed conditions, the D-DS-FN-23 practice tests are built around these same six domains, and the one-page cheat sheet is a handy last-day review.

Who Benefits From This Credential

This is a foundations credential, so its value is strongest as evidence of structured, practical literacy in analytics rather than as a senior specialization. It tends to suit:

• Aspiring data scientists and junior analysts who want a recognized vendor credential showing they understand the full project lifecycle
• Business and BI professionals moving toward advanced analytics who need a shared vocabulary with data science teams
• Dell ecosystem professionals, such as partners and customers' technical staff, who work around analytics and big data platforms
• IT and database practitioners adding in-database analytics skills such as SQL with MADlib

Employers rarely hire solely on a foundations certification, so pair it with demonstrable work: a notebook of R analyses, a documented lifecycle project, or a visualization portfolio. For discussion of roles and market positioning, see D-DS-FN-23 jobs, the salary guide, and the broader is it worth it analysis. We deliberately avoid quoting specific earnings here because Dell does not publish them and reliable figures vary widely by region and experience.

Frequently Asked Questions