- Identity and Format at a Glance
- The Six Domains and Where the Points Sit
- Domain 4: The Eight Methods Cheat Grid
- Lifecycle and Initial Analysis Must-Knows
- Domain 5: Hadoop, MapReduce, R, and SQL/MADlib
- Operationalizing and Visualization Essentials
- Registration, Delivery, and Retake Facts
- Which Domain to Study in Which Week
- Frequently Asked Questions
- The exam runs 90 minutes and is offered in English, French, and Japanese through Pearson VUE.
- Domain 4 (eight advanced analytics methods) carries about 40% of questions; Domain 5 (Big Data tools) carries about 22%.
- Scope explicitly includes R, Hadoop/MapReduce, and SQL/MADlib, so know each tool's role.
- Dell does not publish a question count, passing score, or pass rate in its exact-code sources.
Identity and Format at a Glance
D-DS-FN-23 is the Dell Technologies Proven Professional exam for Dell Data Scientist and Big Data Analytics Foundations 2023. Dell's current catalog lists the same exam code under the title Dell Data Science Foundations, so you may see both names. They refer to the same exam. If you want the full backstory on the naming, see What Does D-DS-FN-23 Stand For? and What Is D-DS-FN-23?.
Here is the one-glance fact table to memorize before anything else.
| Item | What to Know |
|---|---|
| Governing body | Dell Technologies (Dell Technologies Proven Professional) |
| Duration | 90 minutes |
| Languages | English, French, Japanese |
| Delivery | Pearson VUE, test center or OnVUE online proctoring |
| Question count | Not published in Dell's exact-code sources |
| Passing score | Not published in the same sources |
| Voucher | General Dell certification voucher listed at USD 230 on the Pearson U.S. store, expiring 12 months after purchase |
| Migration | Replaced DEA-7TT2, effective February 3, 2024 |
The Six Domains and Where the Points Sit
Dell's exam description lists six domains with approximate question-distribution weights. These are the single most useful numbers on your cheat sheet because they tell you where to spend hours.
| Domain | Name | Weight |
|---|---|---|
| 1 | Big Data, Analytics, and the Data Scientist Role | 5% |
| 2 | Data Analytics Lifecycle | 8% |
| 3 | Initial Analysis of the Data | 15% |
| 4 | Advanced Analytics - Theory, Application, and Interpretation of Results for Eight Methods | 40% |
| 5 | Advanced Analytics for Big Data - Technology and Tools | 22% |
| 6 | Operationalizing an Analytics Project and Data Visualization Techniques | 10% |
Two domains, 4 and 5, account for roughly 62% of the exam. Domains 1 and 2 together are only about 13%, so they are the cheapest points to secure and the worst place to over-invest. For a deeper walk through each area, read D-DS-FN-23 Exam Domains: Complete Guide to All 6 Content Areas.
Domain 4: The Eight Methods Cheat Grid
Domain 4 is the heart of the exam. The title tells you the question style: theory, application, and interpretation of results. Expect to be asked not only what a method is, but when to choose it for a business scenario and how to read its output. The eight methods covered in this foundations curriculum are commonly organized as follows.
| Method | Type of Problem | Interpretation Focus |
|---|---|---|
| K-means clustering | Unsupervised grouping | Choosing k, cluster centers, within-cluster spread |
| Association rules (Apriori) | Market-basket style pattern finding | Support, confidence, lift |
| Linear regression | Predicting a continuous outcome | Coefficients, R-squared, residual checks |
| Logistic regression | Predicting a categorical outcome | Odds, probabilities, coefficient meaning |
| Naive Bayes | Probabilistic classification | Priors, conditional probabilities, independence assumption |
| Decision trees | Rule-based classification | Splits, purity, overfitting and pruning |
| Time series analysis | Forecasting ordered data | Trend, seasonality, autocorrelation |
| Text analysis | Unstructured text | Term frequency, TF-IDF, sentiment ideas |
Domain 4: What Separates Pass from Fail
Memorizing definitions is not enough. Candidates need to match a method to a scenario and then read a result correctly.
- Know supervised versus unsupervised for every method in the grid.
- Be able to interpret support, confidence, and lift without a calculator.
- Recognize overfitting and what a decision tree does about it.
- Distinguish regression for continuous outcomes from classification for categories.
- Understand how a diagnostic or evaluation result tells you whether a model is trustworthy.
If you are weighing how demanding this domain is relative to the rest, the difficulty guide covers where candidates typically struggle.
Lifecycle and Initial Analysis Must-Knows
Domain 2: Data Analytics Lifecycle (8%)
The lifecycle is a phased framework, and the exam expects you to recognize what happens in each phase and what its output is. Dell's complete exam PDF explicitly includes model building under this domain, even though the current HTML summary omits that bullet, so treat model building as in scope.
- Know the phase order and the purpose of each phase, from discovery and data preparation through model planning, model building, communicating results, and operationalizing.
- Be able to place a scenario in the correct phase. A question about assessing data availability and framing the business problem points to the early phase, not model building.
- Understand that the process is iterative: findings late in the cycle can send a team back to earlier phases.
Domain 3: Initial Analysis of the Data (15%)
This domain covers what you do before applying any of the eight methods. At 15%, it is the third-largest block and is often underestimated.
- Exploratory analysis: summary statistics, distributions, and spotting outliers or missing values.
- Visual checks: using plots to see relationships and shape before modeling.
- Statistical grounding: hypothesis testing concepts, such as what a null hypothesis and a significance result mean in plain terms.
- Data preparation thinking: why cleaning and transforming data affects every downstream model.
Domain 5: Hadoop, MapReduce, R, and SQL/MADlib
At about 22%, this is the second-largest domain, and the exam scope explicitly names R, Hadoop/MapReduce, and SQL/MADlib. Think of each as having a distinct job.
Tool Roles to Memorize
Questions here tend to test which tool fits which task, so anchor each tool to its purpose.
- R: the statistical computing and graphics environment used for exploring data and fitting the models from Domain 4.
- Hadoop and MapReduce: distributed storage and a parallel processing paradigm for data too large for one machine. Understand the map step versus the reduce step and why work is split across nodes.
- SQL with MADlib: running analytics inside a database using an in-database machine learning library, so computation moves to the data rather than the data to the computation.
The conceptual thread is scale. A model that works on a laptop in R may need a different approach when data volume grows, and the exam wants you to explain why in-database or distributed processing helps. You do not need to be a Hadoop administrator, but you should be able to describe how a MapReduce job flows from input through map and reduce to output.
Operationalizing and Visualization Essentials
Domain 6 carries about 10% and ties the technical work back to the business.
- Operationalizing: what it takes to move a model from analysis into production, including monitoring and the handoff to the people who run it.
- Communicating results: tailoring findings for executives versus technical audiences, and presenting a clear recommendation.
- Visualization techniques: choosing a chart that fits the data and the message, and avoiding visuals that mislead.
Key Takeaway
Domains 1, 2, and 6 together total roughly 23%. Learn them efficiently, then pour your remaining time into Domains 3, 4, and 5, which together are about 77% of the exam.
Registration, Delivery, and Retake Facts
Dell delivers this exam through Pearson VUE, either at a proctored test center or online through OnVUE. Computer-scored results are provisional pending Dell review.
- OnVUE requirements: a passed system test, a matching government photo ID, and a private room without books or notes.
- Voucher: the general Dell certification voucher is listed on the Pearson U.S. store at USD 230 and expires 12 months after purchase. That expiry is separate from how long your credential stays valid. The certification cost breakdown covers pricing in more detail.
- Retakes: wait 7 days after a first failure and 14 days after later failures.
- Credential status: managed in CertTracker, with recognition following current Dell requirements, including revised exams when required.
For eligibility questions, D-DS-FN-23 Requirements explains that Dell expects sufficient practical knowledge and skills from experience and/or recommended training, then a pass on the exam. For scheduling logistics, see Exam Dates, Testing Windows, and Scheduling.
Recommended Preparation Sources
Dell recommends the Data Science and Big Data Analytics v2 on-demand course (ES732OCMDSBDA) and its lab (ES742OCMDSALN). The accompanying textbook is optional. The lab is practice, not a separately timed practical exam, so you will not face a hands-on lab section on test day. More on course options is in our training overview.
Which Domain to Study in Which Week
One sensible way to sequence preparation is to follow the dependency order of the content and front-load the heavy domains. Adjust the length to your own schedule.
Foundations and Lifecycle
- Cover Domains 1 and 2 quickly; they total about 13%.
- Memorize the lifecycle phases, including model building.
Initial Analysis
- Work Domain 3: exploratory analysis, distributions, hypothesis testing basics.
- Practice reading summary output in R.
The Eight Methods
- Spend the most time here; Domain 4 is about 40%.
- For each method, drill problem type, assumptions, and result interpretation.
Big Data Tools
- Study Hadoop/MapReduce flow and SQL/MADlib in-database analytics.
- Tie each tool back to the methods it supports.
Operationalizing and Review
- Cover Domain 6, then take timed practice sets against the 90-minute limit.
- Revisit your weakest method.
Pairing this schedule with timed practice is where the D-DS-FN-23 practice tests earn their place, since they let you rehearse scenario-based interpretation under time pressure. For a fuller plan, see the complete study guide.
Frequently Asked Questions
The published duration is 90 minutes. Dell's exact-code sources do not publish a question count, so manage your time by pace rather than by a fixed number of items.
Domain 4, covering eight advanced analytics methods, is the largest at about 40%, followed by Domain 5 on Big Data technology and tools at about 22%. Together they make up roughly 62% of the exam.
The exam scope includes R, Hadoop/MapReduce, and SQL/MADlib. You should understand what each is used for and why in-database or distributed processing helps at scale.
Neither is published in the retrieved exact-code sources, so treat any specific figure you see elsewhere with caution. Our pass rate article explains what the available data does and does not show.
You must wait 7 days after a first failure and 14 days after any later failure. Use the gap to focus on your weakest domain, and when you are ready, run through the practice test platform again before rescheduling.