- What DP-900 Training Actually Covers
- Choosing a Training Format
- Training Block 1: Core Data Concepts
- Training Block 2: Relational Data on Azure
- Training Block 3: Non-Relational Data on Azure
- Training Block 4: Analytics Workloads
- A Domain-Based Sequencing Plan
- Exam Mechanics Your Training Should Prepare You For
- Who Benefits Most From This Training
- Frequently Asked Questions
- DP-900 covers four weighted areas; core data concepts and analytics workloads each carry the highest published range of 25-30%.
- Passing requires 700 or greater on a 1-1,000 scaled score, which is not the same as 70% correct.
- Microsoft Learn is unavailable during the exam, so training must build recall rather than reliance on documentation.
- No prerequisite certification is required; Microsoft offers a one-day course (DP-900T00) as preparation, not as an entry rule.
What DP-900 Training Actually Covers
Microsoft Certified: Azure Data Fundamentals (DP-900) tests whether you can describe data concepts and match them to the right Azure services. It is a conceptual exam: you are not asked to write production queries or deploy pipelines under pressure, but you are expected to recognize which service, data model, or workload type fits a described scenario.
Good DP-900 training is therefore built around four published skill areas, not around a generic "learn Azure" curriculum. The current objectives, as published in Microsoft's study guide (skills measured as of July 21, 2026), are:
- Describe core data concepts (25-30%)
- Identify considerations for relational data on Azure (20-25%)
- Describe considerations for working with non-relational data on Azure (15-20%)
- Describe an analytics workload on Azure (25-30%)
These are percentage ranges, not exact item counts. Microsoft also notes that the subtopic bullets in the guide are illustrative, so related topics can appear even if they are not listed word for word. Treat the guide as a floor, not a ceiling. For a deeper walk through each area, see our DP-900 exam domains guide.
Choosing a Training Format
There is no single required path to the exam. Microsoft states no mandatory degree, training hours, references, or preceding certification. The options below are all legitimate preparation, and many candidates combine two or three.
| Training Option | Best For | Watch Out For |
|---|---|---|
| Microsoft's one-day course (DP-900T00) | Structured, instructor-led coverage of all four areas | It is preparation, not a prerequisite, and completing it does not award the certification |
| Microsoft Learn self-paced material | Free, objective-aligned reading and optional sandbox exercises | You cannot open Learn during the exam, so reading alone is not enough |
| Hands-on practice in an Azure account | Making service names and portal concepts concrete | Optional exercises help understanding but do not mirror the proctored exam format |
| Practice questions | Testing recall and spotting weak domains | Use them as preparation only; no practice bank replicates undisclosed live-exam formats or official questions |
If you are new to the exam entirely, start with our overview of what the DP-900 certification is, then return here to plan your training. For eligibility specifics, the DP-900 requirements guide covers prerequisites in detail.
Training Block 1: Core Data Concepts
This domain sits at the top of the weighting (25-30%) and underpins everything else. If you skip it to rush toward the "Azure" topics, the later domains become memorization without context.
Describe Core Data Concepts
You need to explain how data is represented and processed before you can choose services for it.
- Structured, semi-structured, and unstructured data, and how to recognize each from an example
- Common data file formats and what each is typically used for
- Database types and when a transactional workload differs from an analytical one
- Data roles and responsibilities, such as how a database administrator, data engineer, and data analyst differ
- Foundational processing ideas, including the contrast between batch and streaming
The most common training mistake here is treating the vocabulary as trivial. Scenario-style items often hinge on a single distinction, such as whether a workload is transactional or analytical. Build a habit of classifying every example you read: what kind of data is it, how is it stored, and what is it used for?
Training Block 2: Relational Data on Azure
The relational domain carries 20-25% and asks you to identify considerations, which means weighing options rather than performing tasks. Training should focus on understanding relational concepts and matching them to the Azure relational offerings.
Identify Considerations for Relational Data on Azure
Know the relational model well enough to explain it, then connect it to Azure services.
- Tables, rows, columns, keys, and relationships, and why normalization is used
- Common database objects such as views, indexes, and stored procedures, and what each is for
- The purpose of SQL and the broad categories of statements it includes
- The range of Azure relational database options, from fully managed services to running a database engine on a virtual machine, and the trade-offs between them
- Open-source relational engines available as managed Azure services
When studying the Azure services, organize them by how much management responsibility shifts to you versus Microsoft. Exam scenarios frequently describe a requirement such as minimizing administration or maintaining full control of the engine, and the correct answer follows from that trade-off.
Training Block 3: Non-Relational Data on Azure
At 15-20%, this is the lightest domain by weighting, but it is the one candidates with a SQL background most often underestimate because the mental model is different. Do not let the lower range tempt you into skipping it.
Describe Considerations for Working With Non-Relational Data on Azure
Focus on matching storage types to the shape of the data.
- Azure storage options for files, blobs, and tables, and the kind of data each suits
- Blob storage concepts, including how access patterns and tiers affect cost and use
- Azure Files as a managed file share and when it is preferable to blob storage
- Azure Cosmos DB, its multi-model character, and the types of non-relational data it can hold
- The characteristics of document, key-value, column-family, and graph styles
A useful drill: take a described data set, such as product catalogs, sensor readings, or social connections, and decide which non-relational style fits and why. That "describe the data, then pick the store" reflex is exactly what the exam rewards.
Key Takeaway
Relational and non-relational questions are really about fit. Train yourself to read a scenario, name the shape of the data and the access pattern, and only then reach for a service name.
Training Block 4: Analytics Workloads
Analytics shares the highest published range (25-30%) with core concepts, so it deserves proportionally serious training time even though it feels more advanced to beginners. The exam stays at the descriptive level: you need to explain what components do and how they fit together, not build them.
Describe an Analytics Workload on Azure
Understand how raw data becomes insight, and which Azure services play which role.
- Large-scale analytics concepts, including data ingestion, processing, and serving
- The difference between batch and real-time (streaming) processing, and which services address each
- Data warehousing concepts and how an analytical store differs from a transactional database
- Azure's unified analytics offerings and how they bring together data integration, engineering, and reporting
- Data visualization and business intelligence, including how reports and dashboards are built from modeled data
Because this domain introduces the most Azure service names, build a one-page map linking each analytics service to the stage of the data lifecycle it serves. Our DP-900 cheat sheet is a good model for this kind of compact review sheet.
A Domain-Based Sequencing Plan
Rather than a generic weekly template, sequence your training around how the domains depend on one another. Core concepts come first because the other three assume that vocabulary. Relational and non-relational follow as a pair, and analytics comes last because it builds on both. A four-week layout works for most beginners; compress or stretch it to fit your experience.
Core data concepts
- Master data types, formats, workload types, and data roles
- Build a personal glossary you can recite without notes
Relational data on Azure
- Review the relational model, SQL categories, and database objects
- Compare Azure relational options by management responsibility
Non-relational data and analytics start
- Cover storage types and Cosmos DB models
- Begin the analytics service map, focusing on ingestion and processing
Analytics finish and full review
- Finish warehousing, streaming, and visualization topics
- Take practice questions across all four domains and revisit weak areas
If you want a fuller plan with milestones, the DP-900 study guide expands on this approach. You can also gauge how demanding to expect the exam to be in our DP-900 difficulty guide.
Exam Mechanics Your Training Should Prepare You For
Training is more effective when you rehearse under the same constraints you will face. Here is what is verifiable about the exam itself.
- Time: 45 minutes for the assessment; 65 minutes is the Fundamentals seat time, which includes check-in and administrative steps.
- Question count: Variable. Microsoft does not publish a fixed total for DP-900 or a scored/unscored split, so do not rely on any single number you see quoted online. Certiport lists a 43-48 range in one provider listing, but treat that as a provider-specific caveat rather than a guarantee.
- Format: A proctored, computer-based assessment that may include interactive elements. The specific question-type mix is not disclosed, so practice with a range of item styles.
- Resources: Microsoft Learn is not available during Fundamentals exams, which is why your training must build genuine recall.
- Passing score: 700 or greater on a 1-1,000 scale. This is a scaled score, not 70% of questions correct, and some questions may be unscored. See the DP-900 passing score guide for how scaling works.
- Delivery: Pearson VUE, including online proctoring in supported regions with ID, system, and room requirements. Certiport is also offered to students and educators. Request accommodations in advance.
On cost, Microsoft's issuer page indexes a U.S. list price of $99, but country, tax, and eligible discounts affect what you actually pay, and no general member/non-member tier is published. Our DP-900 certification cost breakdown explains booking mechanics, and the exam dates and scheduling guide covers timing. Note that provider-side content updates are scheduled separately from Microsoft's July 21 skills-effective date, so check that your training material reflects the current objectives.
When you are ready to test yourself, our DP-900 practice tests offer preparation questions across all four domains. They are study aids and do not claim to reproduce the live exam's undisclosed format or official questions.
Who Benefits Most From This Training
DP-900 is positioned as a starting point, and the training suits several audiences: career changers moving into data roles, students and educators (who can also access the exam through Certiport), business analysts who need to speak the language of data engineers, and technical sales or project staff who work alongside Azure data teams. It also works as a foundation before more role-specific Azure data certifications.
Whether the credential translates into better opportunities depends on your starting point and goals. The DP-900 ROI analysis and DP-900 jobs overview discuss how employers view it, and the salary guide covers compensation context. Be cautious of any source quoting a precise pass rate; Microsoft does not publish one, as discussed in our DP-900 pass rate article.
Frequently Asked Questions
No. Microsoft states no mandatory training hours or preceding certification. The one-day DP-900T00 course is preparation only, and completing it does not award the certification. Some provider pathways mention instructional hours, but that is not a verified DP-900 entry requirement.
Core data concepts and analytics workloads each carry the highest published range, 25-30%. Relational data follows at 20-25%, and non-relational at 15-20%. Because these are ranges, and the exam does not publish exact item allocations, cover all four areas rather than gambling on one.
No. Access to Microsoft Learn is unavailable during Fundamentals exams, so your training should focus on recall and recognition of concepts and Azure services rather than looking things up.
The assessment time is 45 minutes, with 65 minutes of Fundamentals seat time overall. The question count is variable and Microsoft does not publish a fixed total or a scored/unscored split, so avoid planning around any exact number.
You can retake after 24 hours following the first failure, then wait 14 days between later attempts, up to five attempts in 12 months. Retakes require payment unless an eligible offer applies. Use your result to identify which domain needs more training before rebooking.