You can see it againUnder pressure people bring back shapes and positions long after the wording has gone.
Picture superiority · Shepard 1967, Standing 1973
The Dell Data Science Optimize certification validates your ability to apply advanced analytical methods, work with Hadoop and NoSQL ecosystems, and use natural language processing, social network analysis, and data visualization to solve real business challenges. Designed for data scientists who want to evolve beyond foundations, this credential demonstrates you can identify, analyze, and communicate data-driven conclusions that drive decisions across domains.
Content last reviewed 30 July 2026 · Up to date
What this certification covers, who it is written for, and what the exam itself looks like on the day.
What it validates, who it is written for, and the experience it assumes.
The Dell Data Science Optimize certification builds on the skills developed in Data Science Foundations, helping aspiring data scientists expand their expertise into advanced analytical methods and big data technologies. The certification covers Hadoop and its ecosystem (including Pig, Hive, HBase, and Spark), natural language processing, social network analysis, and advanced data visualization techniques.
Earning this credential proves you can apply these methods to identify patterns, draw conclusions, and communicate actionable recommendations that solve business challenges across many domains. It is part of the Dell Proven Professional program, which recognizes industry-relevant skills in IT infrastructure, cloud, and cybersecurity.
This certification is designed for data scientists and aspiring data scientists who want to advance their skills beyond foundational concepts. It is particularly suited for professionals working with big data technologies, advanced analytics, and machine learning in enterprise environments. Typical roles include product specialists, solution architects, and technical consultants who need to analyze complex data sets and communicate insights to stakeholders. The certification is ideal for those who work with Hadoop, NoSQL databases, natural language processing, and social network analysis.
Dell recommends that candidates have foundational data science knowledge and skills before pursuing this certification. Completion of the Data Science Foundations certification or equivalent knowledge; Familiarity with Hadoop and its ecosystem (Pig, Hive, HBase, Spark); Understanding of natural language processing concepts; Experience with data visualization techniques
Every domain and objective Dell Technologies measures, with the weight they carry on the exam.
The official Dell Technologies exam outline · checked 30 July 2026 · See the source
Everything Dell Technologies publishes about sitting it, and nothing we inferred.
Completion of Data Science Foundations certification or equivalent knowledge is recommended.
The path Dell Technologies lays out, how the credential is kept, and where to book.
Step-by-step path to Dell Data Science Optimize
This certification is currently active and available. Dell Technologies maintains this certification to validate current skills and industry relevance.
Register for the exam through Pearson VUE, Dell Technologies’s authorized testing partner.
Schedule your examVisit the official Dell Technologies certification page for exam policies and requirements.
View the official pageYour coach in the app reads what you have answered with the book closed and tells you one thing to do tonight. It will not count an answer you gave with the page open, and it will tell you when you are not ready.
See how the coach worksThe Data Science Optimize certification is designed to build on the skills developed in Data Science Foundations. While not a mandatory prerequisite, completing the Foundations certification is recommended to ensure you have the foundational knowledge needed for the advanced topics covered in this exam.
The official exam description does not mention a hands-on or lab component. The exam is a proctored skills certification exam administered through Pearson VUE testing centers or OnVUE online proctoring.
If you do not pass on your first attempt, you must wait 7 days before retaking. After a second failed attempt, you must wait at least 14 days between each additional attempt. If you need to retake an exam you have already passed to fulfill a certification track requirement, you may do so after 3 months.
Exams are computer scored immediately upon completion, and you will receive a provisional score report right away. The final score is transmitted to your CertTracker account within 72 hours after statistical analysis is conducted.
The target audience includes Product Specialists, Solution Architects, and Technical Consultants who work with data science and advanced analytics in enterprise environments.
Yes, the exam is available via Pearson VUE's OnVUE online proctoring as well as at physical test centers. Both options require a valid government-issued photo ID and adherence to the candidate agreement.
Yes, Dell Technologies and Pearson VUE provide exam accommodations for candidates with disabilities, comfort aids, and English as a Second Language (ESL) support. Requests must be made in advance through the Pearson VUE accommodations process.
Every domain, every objective, and every concept Dell Technologies measures — each one written out.





Every objective below is a page you can open and practise now, without an account.
The official Dell Technologies exam outline · checked 30 July 2026 · See the source
In front of every objective the practice pages are already there, free and without an account. This is one objective, opened.
22 questions on this objective, five to a page. Every range above is a real page, open now, with no account.
The curriculum tells you what is on the exam. Proving you know it is a different job — and it is the one the closed-book run does.
The whole bank is open. 5 questions to a page, every answer explained, and a discussion thread on each one.
Every objective, and every page range, is a link — so you can pick up exactly where you left off.
Short enough to finish, long enough to matter.
Not only which one is right — why the others are wrong.
Ask, answer, and vote. Every question has its own thread.
These are not trivia. Each one is written against a concept in the book, so when you get one wrong there is somewhere to go and find out why.

The pages shown here come from our AI-900 book — an example of how each concept is written in plain language and, where the idea needs one, drawn as a full page you can take in at a glance.





Three reasons, and each one is a real finding rather than a slogan.
You can see it againUnder pressure people bring back shapes and positions long after the wording has gone.
Picture superiority · Shepard 1967, Standing 1973
The whole idea at onceWhere it starts, what happens in the middle, what comes out, and the mistake to avoid.
Multimedia principle · Mayer
The look-alikes sit togetherThe pairs the exam tests are drawn side by side, so the difference is seen, not told.
Dual coding · PaivioYou are never asked to read a poster here — only to see how one is built. After that, every other page is legible at a glance.

The idea as a sequence, followed with a finger before a word is read.
What it is, how the machine learns it, when it is the right tool.
The distinction the exam tests, given its own box instead of buried in prose.
The sentence to carry into the exam room.
This is the part that teaches. The illustration and the written explanation stay where they are while you work, so a scenario stops being a memory test and becomes something you can simply look at.
A smartphone uses AI to unlock when the owner looks at the camera. Which AI capability is being used?

The same questions come back with the book closed — that run is the one that counts. After it, your coach picks one thing for tonight, sized to the time you have, and brings pages back before you lose them.
Testing effect · Roediger & Karpicke 2006 · spacing effect · Cepeda et al. 2006
Where the exam is defined, scheduled and scored.
We link to them rather than repeat them, so nothing here goes stale behind them.
We build from the official skills outline, not from a summary of it — 19 objectives, 126 concepts written under them, and free questions against every one. When Dell Technologies changes the outline, this page changes with it.
That is the only question worth answering the night before, and no link answers it. You answer it by taking the questions with the book closed, and seeing what comes back.