- What Dell Actually Publishes About the Passing Score
- Why Dell Withholds the Cut Score and What That Means for You
- Confirmed Exam Facts You Can Plan Around
- Reading the Domain Weights as a Scoring Strategy
- The 40% Block: Eight Advanced Analytics Methods
- The 22% Block: R, Hadoop/MapReduce, and SQL/MADlib
- A Domain-Ordered Study Schedule
- Provisional Results, Retakes, and Credential Status
- Spotting Unreliable Passing-Score Claims
- Frequently Asked Questions
- Dell's retrieved D-DS-FN-23 sources publish no passing score, question count, or pass rate, so any specific cut score you see is unverified.
- The exam runs 90 minutes and is delivered through Pearson VUE, at a test center or via OnVUE.
- Advanced analytics across eight methods carries 40% of the blueprint; Big Data technology and tools carries 22%.
- Results are computer-scored but provisional pending Dell review, so a screen result is not the final word.
What Dell Actually Publishes About the Passing Score
Candidates searching for the D-DS-FN-23 passing score usually want one number: the percentage or scaled score that separates a pass from a fail. Here is the honest answer for Dell Data Scientist and Big Data Analytics Foundations 2023, which Dell now titles Dell Data Science Foundations on its current exam catalog: the retrieved, exact-code Dell sources do not publish a passing score. They also do not publish the number of questions or an official pass rate.
That absence matters because the internet is full of confident claims about "the" passing score for exams that share similar-looking codes. Several unrelated credentials use the acronym D-DS-FN-23 in other contexts, and their cut scores, fees, and domain structures have nothing to do with the Dell exam. If a page quotes a percentage without citing Dell's own exam description, treat it as noise. This article sticks to what Dell's published materials support and shows you how to prepare effectively without the number.
Why Dell Withholds the Cut Score and What That Means for You
Vendors often leave the cut score off the public exam page for sensible reasons: forms rotate, items are periodically recalibrated, and the required score can be set through statistical standard-setting rather than a fixed percentage. Whatever the reason in this case, the practical consequence for you is the same. You cannot reverse-engineer a "safe" number of questions to get wrong.
Three consequences follow:
- Do not budget for failure. Strategies like "I only need to know 60% of it" depend on a number you do not have. Weak coverage of a heavily weighted domain can sink you even if your overall comfort feels decent.
- Prepare by weight, not by guess. Dell does publish approximate question-distribution weights for each domain. Those are your real planning tool.
- Use practice scores as a trend, not a verdict. A mock score is only meaningful relative to your own earlier attempts and to your domain-by-domain breakdown, not to a mythical threshold.
If you are weighing how demanding the exam is overall, our guide on how hard the D-DS-FN-23 exam really is covers the difficulty picture from the angle of content and format.
Confirmed Exam Facts You Can Plan Around
While the cut score is unpublished, a good deal of the exam's logistics is documented. Here is what Dell and Pearson VUE materials support:
| Item | What Is Published |
|---|---|
| Exam code | D-DS-FN-23 (Dell Data Science Foundations; long-form 2023 title: Dell Data Scientist and Big Data Analytics Foundations 2023) |
| Governing body | Dell Technologies (Dell Technologies Proven Professional) |
| Duration | 90 minutes |
| Languages | English, French, Japanese |
| Delivery | Pearson VUE, proctored at a test center or via OnVUE |
| Voucher price (Pearson U.S. store) | USD 230 for the general Dell certification voucher; expires 12 months after purchase |
| Retake policy | 7 days after a first failure; 14 days after later failures |
| Passing score | Not published in the retrieved exact-code sources |
| Question count | Not published in the retrieved exact-code sources |
Two details deserve attention. First, the voucher's 12-month expiry is separate from the validity of the credential itself, so buying early to lock in a date does not shorten how long the certification counts once earned. Second, if you test through OnVUE, you need a passed system test, a government photo ID that matches your registration, and a private room without books or notes. Failing the environment check can cost you the appointment before you ever see a question. Our pieces on the full D-DS-FN-23 pricing breakdown and scheduling and testing windows go deeper on the mechanics.
Eligibility is straightforward: Dell expects sufficient practical knowledge and skills gained through experience and/or recommended training, then a pass on D-DS-FN-23. See the D-DS-FN-23 requirements guide for details.
Reading the Domain Weights as a Scoring Strategy
Because there is no cut score to aim at, the six published domain weights become the most valuable numbers on the page. They are approximate question-distribution figures from Dell's exam description:
| Domain | Approximate Weight |
|---|---|
| Big Data, Analytics, and the Data Scientist Role | 5% |
| Data Analytics Lifecycle | 8% |
| Initial Analysis of the Data | 15% |
| Advanced Analytics - Theory, Application, and Interpretation of Results for Eight Methods | 40% |
| Advanced Analytics for Big Data - Technology and Tools | 22% |
| Operationalizing an Analytics Project and Data Visualization Techniques | 10% |
Add the two largest domains and you reach 62% of the blueprint. Any preparation plan that spreads time evenly across all six domains is mismatched to how the exam is built. The 5% role-and-vocabulary domain deserves a quick, efficient pass, not a week of study. The two heavy domains deserve most of your hours and most of your practice questions.
The 40% Block: Eight Advanced Analytics Methods
The largest single domain asks you to demonstrate theory, application, and interpretation of results across eight analytic methods. The wording of the domain name tells you the question style: it is not enough to recognize a method by name. Expect scenario-style items where you must choose which method fits a business problem, understand what its assumptions imply, and read the output correctly.
Domain 4: Advanced Analytics - Theory, Application, and Interpretation of Results for Eight Methods
This is the domain where the exam is won or lost. Prepare each method along three axes.
- Theory: what the method does mathematically, what problem class it addresses, and what assumptions it makes about the data.
- Application: when it is the right tool versus a poor fit, including the type of variable (categorical, continuous, text, time series) it expects.
- Interpretation: how to read the results, such as coefficients, cluster assignments, rule support and confidence, or fit diagnostics, and how to communicate what they mean.
A useful habit is to build a one-row-per-method comparison of your own: problem type, key input requirements, typical output, and a common pitfall. Interpretation items reward candidates who can look at a described result and say what it implies and what it does not. Our D-DS-FN-23 study guide shows how to sequence this material alongside the rest of the blueprint.
The 22% Block: R, Hadoop/MapReduce, and SQL/MADlib
The second-largest domain is where this exam becomes distinctly Dell-flavored. The exact scope includes R, Hadoop/MapReduce, and SQL/MADlib. These are not interchangeable buzzwords; they represent different ways to run analytics at scale, and the exam tests whether you understand the tradeoffs.
Domain 5: Advanced Analytics for Big Data - Technology and Tools
Understand what each tool is for and where it breaks down.
- R: in-memory statistical computing and modeling. Know its strengths for exploration and modeling, and why data volume pushes you toward distributed or in-database approaches.
- Hadoop/MapReduce: distributed storage and batch processing. Be able to describe the map and reduce phases conceptually and recognize problems that fit the model.
- SQL/MADlib: running analytics inside a database using SQL plus the MADlib library, so computation moves to the data rather than the reverse.
The conceptual question underneath all three is the same: given a dataset of a certain size and a certain analytic goal, which tool is appropriate and why? Practice explaining that choice in a sentence. Also be ready to connect tools back to the methods in Domain 4, since a question may blend them, such as running a method in-database versus in R.
A Domain-Ordered Study Schedule
Since generic planning advice is cheap, here is a schedule tied to this exam's weights. It assumes you are using Dell's recommended preparation, the Data Science and Big Data Analytics v2 on-demand course (ES732OCMDSBDA) and its lab (ES742OCMDSALN); the textbook is optional. Note that the lab is practice, not a separately timed practical exam.
Vocabulary and lifecycle (13%)
- Cover the data scientist role and big data concepts quickly.
- Learn the Data Analytics Lifecycle phases, including model building.
Initial analysis (15%)
- Work through exploratory analysis and data-quality reasoning.
- Use R in the lab to see summaries and distributions firsthand.
Eight methods (40%)
- Spend the bulk of your time here; one or two methods per sitting.
- Finish each with interpretation practice, not just definitions.
Big data tools (22%)
- Compare R, Hadoop/MapReduce, and SQL/MADlib side by side.
- Tie each tool back to the methods from weeks 3-4.
Operationalizing and visualization (10%), then review
- Cover deployment and communicating results.
- Take timed practice sets against the 90-minute limit and review by domain.
The reason for this order: the two heavy domains come after you have the lifecycle and data-exploration foundations, and the lighter operational domain closes the loop just before full-length practice. For a printable condensed reference to pair with this plan, see the D-DS-FN-23 cheat sheet, and use the D-DS-FN-23 practice tests to check weighted domain performance.
Provisional Results, Retakes, and Credential Status
Understanding how results are handled helps you interpret the moment you finish the exam. Pearson VUE delivers the test, and the result shown is computer-scored but provisional pending Dell review. In practice, treat the on-screen outcome as preliminary until Dell confirms it.
If the outcome is a fail, the retake rules are fixed and published: wait 7 days after a first failure, then 14 days after any later failure. That gap is useful. Do not simply re-sit on the first available day. Use the seven days to pull your domain-level feedback, if provided, and rebalance. A failure concentrated in the 40% methods domain calls for a different repair than one scattered across tools questions.
Once you pass, your credential status is managed in CertTracker, and recognition follows Dell's current requirements, including revised exams when Dell requires them. Dell's migration notes also show this exam replaced the earlier DEA-7TT2 effective February 3, 2024, so material written for the old code may not match the current blueprint. Verify any older study resource against the current domain list before relying on it.
Key Takeaway
Treat the passing score as unknown and the blueprint as known. Your two controllable levers are domain-weighted preparation and clean exam-day logistics (valid ID, passed system test, private room for OnVUE). Everything else is speculation.
Spotting Unreliable Passing-Score Claims
Because the real number is unpublished, you will see inventive substitutes. Here is how to filter them:
- Claims with no citation. A specific percentage or scaled score with no link to Dell's exam description is not evidence.
- Figures borrowed from other credentials. Other certifications share the D-DS-FN-23 acronym. Their fees, dates, and cut scores do not apply here.
- Predecessor exam details. Numbers tied to the retired DEA-7TT2 are not confirmed for the current code.
- Reseller pass-rate boasts. Unverified success figures are marketing, not data.
If you are deciding whether the effort is worthwhile, our analysis of whether the D-DS-FN-23 certification is worth it, along with the earnings overview and the roles that value the credential, covers the career side qualitatively. And if you are new to the code itself, what D-DS-FN-23 is is a quick orientation.
Frequently Asked Questions
Dell's retrieved exact-code sources do not publish a passing score. Any specific percentage you see elsewhere is unverified, so prepare against the six weighted domains instead of a rumored threshold.
The question count is not published in the retrieved exact-code sources. What is published is the 90-minute duration and the approximate weight of each domain, which is enough to plan your time and study effort.
Not necessarily. The exam is computer-scored, but the result is provisional pending Dell review. Treat the on-screen outcome as preliminary until it is confirmed.
You must wait 7 days after a first failure and 14 days after any later failure. Use that window to target the domains where you lost the most ground, especially the 40% eight-methods domain and the 22% tools domain.
Advanced Analytics for the eight methods (40%) and Advanced Analytics for Big Data technology and tools (22%) together make up 62% of the blueprint. Prioritize them, then cover Initial Analysis of the Data (15%), Operationalizing and Data Visualization (10%), the Data Analytics Lifecycle (8%), and the Big Data and Data Scientist Role domain (5%).