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What Does DP-900 Mean?

TL;DR
  • DP-900 is the exam code for Microsoft Certified: Azure Data Fundamentals, issued by Microsoft and delivered through Pearson VUE.
  • The exam covers four areas; core data concepts and analytics workloads each carry the highest published range, 25-30%.
  • A scaled score of 700 or greater on a 1-1,000 scale is required; it is not 70% of questions correct.
  • The certification does not expire and has no mandatory prerequisite stated by Microsoft.

The Short Answer: What DP-900 Means

DP-900 is the exam code for Microsoft Certified: Azure Data Fundamentals. When someone says they are "taking the DP-900," they mean they are sitting the single proctored exam that earns this entry-level Microsoft credential. Passing the exam is what awards the certification.

The code is not a score, a level, or a random label. It is a catalog identifier Microsoft uses to tell its role-based and fundamentals exams apart. If you have seen the number on a job posting, a LinkedIn profile, or a training catalog and wondered what it signified, the answer is straightforward: it points to a foundational data certification built around how data is stored, structured, and analyzed on Microsoft Azure.

If you want a quick companion read on the naming question, our pages on what DP-900 stands for and the broader DP-900 meaning cover adjacent angles. This article goes deeper into what sits behind the code.

Decoding the Code: Why "DP" and "900"

Microsoft's exam codes follow a loose convention: a short letter prefix that hints at a subject family, followed by a three-digit number. Across the Azure catalog, the "AZ" prefix is associated with core Azure administration and infrastructure topics, while "DP" is associated with data platform topics. In that sense, "DP" can be read as pointing to the data-platform family of exams, and the "900" series is the numbering Microsoft uses for its fundamentals-level exams.

Be careful not to over-read the number. The "900" does not signal difficulty, a ranking, or a version, and it does not tell you how many questions are on the exam. Treat the code as a label, and rely on the official skills outline for what is actually tested.

Why the label matters: Microsoft retires, updates, and renumbers exams over time. The code is only meaningful alongside the certification title, "Microsoft Certified: Azure Data Fundamentals." When you search, book, or list this credential on a résumé, use both.

DP-900 Is Not AZ-900

The most common mistake newcomers make is treating DP-900 and AZ-900 as interchangeable. They are separate exams with separate objectives. AZ-900 is Azure Fundamentals, a broad survey of cloud concepts and Azure services. DP-900 is Azure Data Fundamentals, and it concentrates on data: what kinds of data exist, how relational and non-relational stores differ, and what an analytics workload looks like on Azure.

Some candidates take both, and the two can complement each other, but neither is a prerequisite for the other according to Microsoft's published information. If your goal is a data-focused starting point, DP-900 is the exam that matches. If you want a general cloud overview first, that is a different exam entirely. For a clearer picture of how the data exam stacks up in difficulty, see how hard the DP-900 exam is.

AspectDP-900AZ-900
Full titleMicrosoft Certified: Azure Data FundamentalsMicrosoft Certified: Azure Fundamentals
Primary focusData concepts, relational and non-relational data, analyticsGeneral cloud and Azure service concepts
IssuerMicrosoftMicrosoft
Interchangeable?No. They are distinct exams with distinct skills outlines.

What the Exam Actually Measures

DP-900 is a fundamentals exam, so it tests recognition and understanding rather than deep implementation. You are expected to describe, identify, and distinguish: to know which type of data store fits a scenario, what a given term means, and which Azure service category addresses a described need. You are not expected to architect production systems.

Microsoft's study guide frames the exam around four skill areas, each with an official percentage range. The guide notes that its subtopic bullets are illustrative and that related topics may also appear, so treat the outline as a map of the territory rather than an exhaustive checklist. For a complete walkthrough, our DP-900 exam domains guide expands on each area.

The Four Skill Areas in Detail

The published ranges below come directly from Microsoft's skills-measured outline. Use them to prioritize time, but do not treat them as a guaranteed question count, because Microsoft does not publish an exact live-form allocation.

Domain 1: Describe core data concepts (25-30%)

This is the conceptual bedrock. Expect questions that test whether you can distinguish the basic shapes and roles of data, regardless of any specific product.

  • Structured, semi-structured, and unstructured data and how they differ
  • Common data file formats and what they are suited for
  • Database fundamentals and the idea of transactional versus analytical processing
  • Roles on a data team and what each one is responsible for

Domain 2: Identify considerations for relational data on Azure (20-25%)

Here the focus shifts to tables, rows, columns, and relationships, and to how Azure supports relational workloads.

  • Core relational concepts such as tables, keys, and normalization
  • SQL as the language used to query and manage relational data
  • The categories of Azure relational database offerings and when each fits
  • Considerations such as management responsibility and scenario fit

Domain 3: Describe considerations for working with non-relational data on Azure (15-20%)

This is the lowest-weighted range, but it is easy to underestimate because the terminology is less familiar to many candidates.

  • The purpose of non-relational stores and the kinds of data they hold
  • Blob, file, and table storage concepts on Azure
  • Document, key-value, column-family, and graph models at a conceptual level
  • When a flexible schema is a better fit than a rigid relational one

Domain 4: Describe an analytics workload on Azure (25-30%)

This area covers how data is ingested, transformed, stored for analysis, and visualized. It shares the top published range with Domain 1.

  • Batch versus streaming data processing concepts
  • Large-scale analytical stores and how they differ from transactional ones
  • The role of data ingestion and transformation pipelines
  • Visualization and reporting as the final step of an analytics workflow

One wording detail worth noting: Microsoft's exact certification page and its skills-at-a-glance list call the fourth area "Describe an analytics workload on Azure," while the study guide's detailed heading omits "on Azure." Both refer to the same area, so do not be thrown off if you see slightly different phrasing across sources.

Format, Fees and Logistics

The exam is a proctored, computer-based assessment delivered through Pearson VUE. Certiport also offers the exam to students and educators. Candidates can generally test at a center or, in supported regions, through online proctoring, which requires valid ID plus system and room checks completed in advance. If you need accommodations, request them ahead of your appointment rather than on exam day.

  • Time: 45 minutes for the assessment, with a longer seat time allotted for the full Fundamentals appointment.
  • Question count: Variable. Microsoft does not publish a fixed DP-900 total or a scored-versus-unscored split, and the specific mix of question types is undisclosed.
  • Resources: Microsoft Learn access is not available during Fundamentals exams.
  • Fee: The U.S. list price shown on Microsoft's certification page is $99 USD. Country, tax, and eligible discounts can change what you actually pay, and no general member or non-member tier is published. See our DP-900 certification cost breakdown for more detail.
Be skeptical of third-party numbers: Some exam-prep sites list firm question counts, equal domain weights, or pass-rate figures that do not match Microsoft's published information. Stick to the official skills outline and the issuer's certification page, and treat precise-sounding unofficial figures with caution.

For scheduling specifics, including how booking windows and content updates can affect your timing, see our guide to DP-900 exam dates.

Scoring, Retakes and Validity

Microsoft reports results on a scaled score from 1 to 1,000, and a score of 700 or greater is required to pass. This is not the same as answering 70% of questions correctly, because scaled scoring adjusts for question difficulty and some questions may be unscored. Our DP-900 passing score article explains the mechanics in more depth.

If you do not pass, Microsoft's retake policy allows a second attempt after a 24-hour wait following the first failure, with a 14-day wait between later attempts. There is a cap of five attempts within a 12-month period, and payment applies unless an eligible offer covers it.

On the other end, the Azure Data Fundamentals certification does not expire. There is no renewal assessment and no continuing-education credit requirement for this Fundamentals credential. As for how many candidates pass, the official sources reviewed do not publish a pass rate, so be wary of any specific figure; our DP-900 pass rate discussion covers what can and cannot be said.

Who Benefits From the Credential

Microsoft states no mandatory degree, work experience, training hours, or preceding certification for DP-900. It recommends familiarity with data concepts and, ideally, some exposure to coursework or the one-day Microsoft preparation course. You can read more on this in our DP-900 requirements guide.

Because the exam is broad rather than deep, it fits several audiences:

  • Career changers moving into data or cloud roles who need a credible first credential
  • Students and recent graduates looking to show structured data knowledge on a résumé
  • Business analysts and report builders who work alongside engineering teams and want shared vocabulary
  • Aspiring data engineers, analysts, and database administrators using it as a stepping stone toward more advanced Microsoft data credentials
  • Sales, project, and product staff in organizations that sell or run Azure data services

Roles that mention the credential tend to be entry-level or adjacent to data work rather than senior engineering positions. For a sense of the market, browse our overview of DP-900 jobs, and weigh the credential's value in our worth-it analysis. For pay discussions, our salary guide addresses what can be responsibly said without inventing numbers.

A Domain-Ordered Preparation Sequence

Rather than a generic study calendar, it helps to order your effort around how the four domains build on one another. Core concepts underpin everything, so they come first; analytics comes last because it draws on all the earlier vocabulary.

Week 1

Core data concepts

  • Lock in structured, semi-structured, and unstructured data
  • Learn transactional versus analytical processing and the data team roles
Week 2

Relational data on Azure

  • Review tables, keys, normalization, and basic SQL ideas
  • Match Azure relational offerings to scenarios
Week 3

Non-relational data on Azure

  • Distinguish blob, file, table, and the main non-relational models
  • Practice choosing relational versus non-relational for a described need
Week 4

Analytics workloads, then full review

  • Cover batch versus streaming, ingestion, and visualization
  • Revisit weak areas and take timed practice sets

This ordering also reflects the published ranges: the two heaviest areas, core concepts and analytics, bookend your plan, so you touch each of them at the start and again in your final review. For a fuller plan, see our DP-900 study guide and the condensed DP-900 cheat sheet, and explore structured options under DP-900 training.

Key Takeaway

Practice questions are preparation, not a replica of the live exam. Microsoft does not disclose the full question-type mix, so use practice sets to test understanding of the four domains, and take full timed sessions on our DP-900 practice test site to build pacing and confidence.

Avoiding the Acronym Mix-Up

The letters "DP" and number "900" are short enough that other organizations and fields use similar-looking abbreviations for unrelated purposes. When you encounter the term, confirm the context before assuming it refers to the Microsoft exam. For this site, and for everything in this article, DP-900 refers only to Microsoft Certified: Azure Data Fundamentals.

A good habit is to verify the exam against Microsoft's official certification page and study guide before booking, since skills outlines are updated periodically and provider-side content updates can follow on separate timelines. Our related explainers, what is DP-900 and the DP-900 certification overview, can help you cross-check the basics, and you can start practicing on the main site once you are ready to test your knowledge.

Frequently Asked Questions

What does DP-900 mean in simple terms?

DP-900 is the exam code for Microsoft Certified: Azure Data Fundamentals. Passing this proctored exam earns the entry-level Microsoft certification focused on core data concepts, relational and non-relational data, and analytics on Azure.

Is DP-900 the same as AZ-900?

No. AZ-900 covers general Azure and cloud fundamentals, while DP-900 concentrates on data topics. They are separate exams with separate skills outlines, and Microsoft does not list one as a prerequisite for the other.

What score do I need to pass DP-900?

You need a scaled score of 700 or greater on Microsoft's 1-1,000 scale. This is not the same as getting 70% of questions right, since scoring is scaled and some questions may be unscored.

Does the DP-900 certification expire?

No. The Azure Data Fundamentals certification does not expire, and there is no renewal assessment or continuing-education credit requirement for this Fundamentals credential.

How many questions are on the DP-900 exam?

The count varies. Microsoft does not publish a fixed DP-900 total or a scored-versus-unscored split, and the mix of question types is undisclosed. Treat any firm number from an unofficial source with caution.

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