- What Is Actually Published About the Pass Rate
- The Data That Does Exist for This Exam
- Where Candidates Lose Points: Domain Weights as Risk Map
- Format, Delivery, and What the Pearson VUE Experience Means for Results
- Domain 4 Under the Microscope
- Domain 5: Hadoop, MapReduce, SQL, and MADlib
- Failing Once: Retake Rules and Voucher Math
- Sequencing Your Weeks Around the Blueprint
- Who Sits This Exam and What They Do Next
- Frequently Asked Questions
- Dell has not published a pass rate for D-DS-FN-23 in the exact-code sources; any specific percentage you see is unverified.
- Domain 4, eight advanced analytics methods, carries roughly 40% of questions, so it largely decides your outcome.
- Domain 5 (Big Data technology and tools) adds about 22%, covering R, Hadoop/MapReduce, and SQL/MADlib.
- Retake waits are 7 days after a first failure and 14 days after later failures.
What Is Actually Published About the Pass Rate
Search for the pass rate of the Dell Data Scientist and Big Data Analytics Foundations 2023 exam and you will find confident-sounding numbers on reseller pages, forum threads, and dump sites. Here is the plain truth: the exact-code sources Dell publishes for D-DS-FN-23 do not state a pass rate. They also do not state the number of questions or the passing score. Dell's current catalog title for this code is Dell Data Science Foundations, and the certification description and exam overview document describes what the exam covers and how the content is weighted, but it does not report how many candidates pass.
That matters for how you read this article. A genuine "what the data shows" analysis has to separate what is documented from what is rumored. Anyone quoting a precise pass percentage for this exam is either extrapolating from a different credential (several unrelated certifications share similar-looking exam codes) or inventing a figure. We will not do either. Instead, this guide walks through the evidence that does exist: the official blueprint weights, the delivery rules, the retake policy, and the preparation path Dell recommends. Together, these tell you far more about your odds than a made-up statistic would.
The Data That Does Exist for This Exam
While the pass rate is unpublished, several hard facts shape your chances. The table below separates what Dell documents from what it does not.
| Item | Status for D-DS-FN-23 |
|---|---|
| Pass rate | Not published in exact-code sources |
| Question count | Not published in retrieved exact-code sources |
| Passing score | Not published in retrieved exact-code sources |
| Exam duration | 90 minutes |
| Languages | English, French, Japanese |
| Domain weights | Published as approximate question distribution |
| Testing provider | Pearson VUE (test center or OnVUE online proctoring) |
| General Dell voucher price | USD 230 on the Pearson U.S. store, valid 12 months from purchase |
| Retake waits | 7 days after first failure; 14 days after later failures |
Two additional details deserve attention. First, this exam migrated from the older DEA-7TT2 code effective February 3, 2024, which is why you may encounter both names in older study material. Second, the credential requires only that you have sufficient practical knowledge and skills, through experience or recommended training, and then pass the exam. There is no separately timed practical component; the associated lab is a preparation resource, not a second test. For eligibility specifics, read D-DS-FN-23 Requirements 2026: Eligibility, Prerequisites & How to Qualify, and for score mechanics, D-DS-FN-23 Passing Score 2026: Exactly What You Need to Pass.
Where Candidates Lose Points: Domain Weights as Risk Map
Because Dell publishes approximate question-distribution weights, you can build a rational risk model even without a pass rate. The six domains break down like this:
| Domain | Approx. Weight | Risk Profile |
|---|---|---|
| Domain 1: Big Data, Analytics, and the Data Scientist Role | 5% | Low volume, mostly conceptual vocabulary |
| Domain 2: Data Analytics Lifecycle | 8% | Phase sequence and model building tasks |
| Domain 3: Initial Analysis of the Data | 15% | Exploration and statistical grounding |
| Domain 4: Advanced Analytics - Theory, Application, and Interpretation of Results for Eight Methods | 40% | Highest stakes; interpretation-heavy |
| Domain 5: Advanced Analytics for Big Data - Technology and Tools | 22% | Tool-specific and easy to underprepare |
| Domain 6: Operationalizing an Analytics Project and Data Visualization Techniques | 10% | Deployment and communication |
Notice the concentration. Domains 4 and 5 together account for roughly 62% of the exam. A candidate who is comfortable with the lifecycle and role material but shaky on method interpretation or the big data toolset is carrying most of the failure risk in just two domains. That pattern, not an anonymous pass percentage, is the most useful predictor of how an attempt will go. For a domain-by-domain walkthrough, see D-DS-FN-23 Exam Domains 2026: Complete Guide to All 6 Content Areas.
Key Takeaway
Treat the blueprint weights as your pass-probability model. Weakness spread thinly across the small domains is survivable; weakness concentrated in Domain 4 or Domain 5 is where attempts are most likely to fall short.
Format, Delivery, and What the Pearson VUE Experience Means for Results
The exam is delivered by Pearson VUE, either at a proctored test center or through OnVUE online proctoring. You get 90 minutes. Results are computer-scored, but they are provisional pending Dell review, so do not treat the on-screen outcome as the final word on your credential status.
If you choose OnVUE, several logistics can sink an attempt before a single question appears. You must pass a system test, present a matching government photo ID, and sit in a private room without books or notes. Candidates who skip the system test or test in a shared space risk delays or a cancelled session. These are not trivia; they are among the most avoidable causes of a lost attempt. If you prefer to remove that variable entirely, a test center handles the environment for you.
The exam is available in English, French, and Japanese, which is worth knowing if you work in a multilingual team. Registration mechanics and timing are covered in D-DS-FN-23 Exam Dates 2026: Testing Windows, Deadlines & Scheduling, and the full money picture is in D-DS-FN-23 Certification Cost 2026: Complete Pricing Breakdown.
Domain 4 Under the Microscope
Domain 4 is titled Advanced Analytics - Theory, Application, and Interpretation of Results for Eight Methods, and at about 40% of the exam it is the single most important area. The wording of the domain tells you what kind of questions to expect: not just "what is this method" but "when would you apply it" and "what does this output mean."
What Domain 4 Demands
You are expected to move between theory, application, and interpretation for each of the eight methods covered in the Dell curriculum. Memorizing definitions is not enough.
- Match a business question to the appropriate analytic method, and explain why alternatives fit worse.
- Read model output, including coefficients, fit statistics, and cluster or rule outputs, and state what they imply.
- Recognize the assumptions behind each method and what happens when they are violated.
- Distinguish supervised from unsupervised approaches and know which problems each solves.
- Interpret results in plain language, since questions often hinge on the conclusion a analyst should draw.
The interpretation emphasis is what makes this domain a common stumbling block. A candidate who has run these techniques in R but never had to explain a result aloud may recognize the vocabulary yet misread a scenario question. Practice should include looking at an output and stating, in one sentence, what decision it supports. That habit is exactly what interpretation-weighted items reward. Our D-DS-FN-23 Study Guide 2026: How to Pass on Your First Attempt lays out how to build that skill.
Domain 5: Hadoop, MapReduce, SQL, and MADlib
Domain 5, Advanced Analytics for Big Data - Technology and Tools, carries roughly 22% of the exam, and the scope explicitly includes R, Hadoop/MapReduce, and SQL/MADlib. This is where the "big data" in the exam's long-form name earns its place. Many candidates arrive with solid statistics but limited exposure to distributed processing, and this domain punishes that gap.
Tool-Specific Topics to Master
Focus on understanding why each tool exists and what problem it solves, not only its syntax.
- R: Core analytic workflows and how R is used for exploration and modeling.
- Hadoop and MapReduce: The distributed storage and processing model, and how a MapReduce job decomposes a problem into map and reduce phases.
- SQL and MADlib: In-database analytics, meaning running analytic functions where the data lives rather than moving it out.
- Tool selection: When data volume or structure points toward one approach over another.
The conceptual question behind this domain is usually "which tool, and why." Understanding the tradeoff between pulling data into a local R session and pushing computation into the database or cluster will serve you better than rote command memorization. This is also the domain where hands-on lab time pays off most, which is why Dell recommends the on-demand lab alongside the course.
Failing Once: Retake Rules and Voucher Math
Since no pass rate is published, plan as though a first-attempt miss is possible without treating it as likely. The policy is clear: you must wait 7 days after a first failure, and 14 days after any later failure. A retake generally requires a fresh purchase of exam access, so budget accordingly rather than assuming a free second attempt.
Use the waiting period deliberately. Because results show your performance by area, the retake window is the right time to rebuild the specific domain that cost you points rather than re-reading everything. A candidate who missed on interpretation questions in Domain 4 should spend the week on output-reading drills, not on re-memorizing the lifecycle phases. For the broader financial and career picture of whether the investment holds up, see Is the D-DS-FN-23 Certification Worth It? Complete ROI Analysis 2026.
Sequencing Your Weeks Around the Blueprint
General study advice is everywhere, so here is the one structural suggestion tied directly to this exam: order your preparation by weight and by dependency, not by the order Dell lists the domains. The lifecycle and initial data analysis underpin the methods, so they come first; the heavy domains get the longest blocks.
Foundations: Domains 1, 2, and 3
- Learn the data scientist role and lifecycle phases, including model building.
- Practice initial data exploration and summary analysis in R.
Domain 4: Eight Methods
- Work each method through theory, application, and interpretation.
- Drill reading model output and stating the conclusion.
Domain 5: Tools and Technology
- Complete lab exercises covering Hadoop/MapReduce and SQL/MADlib.
- Compare when each tool is the right choice.
Domain 6 and Full Review
- Cover operationalizing projects and visualization techniques.
- Take timed practice sets and revisit your weakest domain.
Dell's recommended preparation is the Data Science and Big Data Analytics v2 on-demand course (ES732OCMDSBDA) and its lab (ES742OCMDSALN); the accompanying textbook is optional. Use D-DS-FN-23 Training for a closer look at those resources, and keep the D-DS-FN-23 Cheat Sheet 2026: One-Page Review of Must-Know Facts handy in the final days. To test your timing against the 90-minute limit, try the timed question sets on the D-DS-FN-23 practice test site.
Who Sits This Exam and What They Do Next
This is a foundations-level credential in the Dell Technologies Proven Professional program, aimed at people who work with data and analytics rather than at infrastructure administrators. Typical candidates include analysts moving toward data science, IT professionals supporting analytics teams, and early-career data practitioners who want a vendor-recognized baseline in the data analytics lifecycle, statistical methods, and big data tooling.
That candidate mix is relevant to how people fare. Someone with statistics but no cluster experience tends to find Domain 5 harder; someone from a database background may find Domain 4 interpretation harder. Knowing which profile you resemble tells you where to invest. Credential status is tracked in CertTracker, and recognition follows current Dell requirements, which can include revised exams when Dell updates the program. If you are weighing roles, see D-DS-FN-23 Jobs and D-DS-FN-23 Salary Guide 2026: Complete Earnings Analysis for how the credential fits into career planning. New to the code itself? Start with What Is D-DS-FN-23?
Frequently Asked Questions
Dell does not publish a pass rate for D-DS-FN-23 in the exact-code sources. Percentages quoted elsewhere are unverified and may come from other credentials with similar codes, so plan using the published domain weights instead.
The question count and passing score are not published in the retrieved exact-code sources. What is published is the 90-minute duration and the approximate weight of each of the six domains.
Domain 4, Advanced Analytics for Eight Methods, carries about 40% of the exam, followed by Domain 5 (Big Data technology and tools) at about 22%. Together they make up most of the questions.
You must wait 7 days after a first failure and 14 days after any later failure before retaking. Plan to purchase new exam access for the retake and use the wait to target your weakest domain.
No separately timed practical exam is established. The recommended lab (ES742OCMDSALN) is a preparation resource, while the credential itself is earned by passing the proctored D-DS-FN-23 exam delivered through Pearson VUE.