Microsoft DP-900 is the “Azure Data Fundamentals” entry exam. In Belgium, the best way to buy a DP-900 exam voucher at the right price is to compare the voucher sources that map cleanly to your booking method (Microsoft/Vendor store, authorized resellers, and training providers). Use the DP-900 syllabus weightings to focus your study and reduce retake risk.
Key takeaways
- DP-900 covers four pillars: core data concepts (25–30%), relational data on Azure (20–25%), non-relational data (15–20%), and analytics workloads (25–30%).
- Data shapes matter: structured, semi-structured, and unstructured data directly connect to storage and database choices.
- Pick the right voucher route: vendor store vs authorized resellers vs training academies—trade-offs include support, booking convenience, and transparency.
- Plan exam prep with scorecards: practice with exam-style questions aligned to Microsoft Learn skills.
- Passing a mock exam unlocks up to 70% off voucher offers (when available through the platform you choose).
What is Microsoft DP-900 (Azure Data Fundamentals) and who is it for?
Microsoft DP-900 (“Microsoft Azure Data Fundamentals”) validates foundational knowledge of Azure data services and analytics workloads. The exam helps candidates understand how organizations model data and choose storage, databases, and analytics tools—without requiring deep implementation experience.
Is DP-900 a beginner-friendly exam?
DP-900 is designed for data beginners and cloud beginners. It’s a strong fit when you want to:
- Build basic Azure data vocabulary (storage, databases, analytics patterns)
- Understand SQL vs relational concepts and when to use Azure data services
- Learn how transactional vs analytical workloads differ
- Prepare a roadmap toward role-based certifications (for example, data or cloud-adjacent paths)
Who should take DP-900?
DP-900 is ideal for:
- New cloud learners who need a data fundamentals starting point
- Candidates transitioning from on-prem data basics into Azure concepts
- Professionals preparing for broader Azure certification tracks like Microsoft AZ-104 Azure Administrator (as a conceptual foundation)
- Anyone who wants vendor-neutral understanding of how modern analytics stacks work (storage → processing → BI/real-time)
Tip: DP-900 tests understanding, not memorization of product marketing. Use the syllabus weightings to prioritize your study time.
What is the DP-900 exam format and how does the test run?
The DP-900 exam is delivered through Microsoft’s testing ecosystem (commonly via Pearson VUE in many regions). The key is to approach it like a conceptual multiple-choice exam where each question expects correct mapping between data scenarios and Azure services.
Exam essentials you should confirm before booking
Before you schedule your voucher, confirm these items on the official exam page for the most current details:
- Exam delivery method (online proctored or testing center, depending on availability in Belgium)
- Question type (typically multiple-choice)
- Languages offered
- Exam duration and passing score policies (if listed)
How to study for the question style
DP-900 questions usually evaluate whether you can:
- Identify data types and formats (structured/semi/unstructured)
- Choose appropriate storage (Blob/File/Table) or database types (relational vs NoSQL)
- Recognize workload patterns (transactional vs analytical)
- Match analytics tools to goals (batch, streaming, BI dashboards, lakehouse patterns)
Warning: Don’t focus only on definitions. Practice answering scenario-based exam-style practice questions that connect business intent → data shape → Azure service → workload type.
What is the DP-900 syllabus? (Complete breakdown with weightings)
DP-900 measures foundational skills across core data concepts, relational data on Azure, non-relational data on Azure, and analytics workloads.
Below is a study-aligned syllabus view based on Microsoft Learn guidance and the current skill areas you should target.
1) Core data concepts (25–30%)
Focus on the fundamentals of data and how organizations conceptualize data.
Key areas to master:
- Structured, semi-structured, and unstructured data
- Data storage concepts (data at rest, data formats, storage trade-offs)
- Transactional vs analytical workloads
- Data processing basics (why analytics needs different engines than transactional systems)
What you should be able to do in the exam
- Recognize which workload category best matches a scenario (transactional application vs analytical reporting)
- Describe how data shape impacts storage and processing choices
2) Relational data on Azure (20–25%)
This section tests your understanding of relational concepts and Azure relational data services.
Key areas to master:
- SQL and relational concepts (tables, rows, keys, relationships)
- Azure SQL services (core ideas of relational database usage)
- Understanding when relational data fits operational workloads
What you should be able to do in the exam
- Link SQL/relational structure to scenarios like customer records, inventory, and normalized datasets
- Explain why relational modeling supports certain transactional workloads
3) Non-relational data on Azure (15–20%)
Non-relational data (NoSQL and similar paradigms) is evaluated through your understanding of document/key-value/graph-like concepts and their fit.
Key areas to master:
- Non-relational storage concepts
- Azure Cosmos DB concepts: multi-model NoSQL usage and typical decision factors
- Mapping data scenario requirements to a NoSQL approach
What you should be able to do in the exam
- Choose NoSQL when requirements emphasize flexible schema and scalable app patterns
- Understand Cosmos DB at a conceptual level: how it fits non-relational workloads
4) Analytics workloads on Azure (25–30%)
Analytics is the largest category and includes storage for analytics, large-scale processing, and BI/real-time patterns.
Key areas to master:
- Large-scale analytics concepts
- Data lake and lakehouse ideas (conceptually)
- Azure Databricks concepts (analytics workflows on large datasets)
- Microsoft Fabric concepts (modern analytics experiences)
- Real-time analytics concepts (streaming and near-real-time views)
- Power BI concepts (BI dashboards, reporting)
What you should be able to do in the exam
- Recognize which analytics tool fits which goal: dashboards vs streaming vs large-scale transformations
- Distinguish batch analytics from real-time analytics
How do structured, semi-structured, and unstructured data connect to Azure storage?
DP-900 links data shape to storage and data usage patterns. Use this mental model: data shape influences how you store it; storage influences how you query and analyze it.
Structured data (easy to model in rows/columns)
- Think tabular records: customer tables, product catalogs
- Typically fits relational modeling and SQL
- Often supports transactional workloads
Semi-structured data (tagged or nested formats)
- Examples: JSON, XML, key-value representations
- Benefits from flexible schemas
- Often feeds into analytics pipelines or NoSQL systems
Unstructured data (no fixed schema)
- Examples: text documents, images, logs, videos
- Often lands in object/file storage or data lake patterns
Azure storage services you should know (conceptual)
DP-900 expects you to connect the right storage type to the right data scenario.
You should understand these storage buckets at a high level:
- Azure Blob Storage: object storage for large-scale unstructured data
- Azure File Storage: managed file shares for certain application needs
- Azure Table Storage: NoSQL key-value/structured-with-flex patterns
Tip: When practice questions show JSON logs, event streams, or media payloads, identify whether they behave like structured/semi-structured/unstructured and then map to Blob or NoSQL-like storage concepts.
Transactional vs analytical workloads: what DP-900 expects you to know
A common DP-900 scoring approach is to evaluate whether you can distinguish:
- Transactional workloads: optimized for serving ongoing business operations (create/read/update/delete)
- Analytical workloads: optimized for aggregations, reporting, and large-scale computations
Transactional patterns
In practice, transactional systems typically:
- Need consistent low-latency operations
- Use relational design or operational NoSQL patterns
Analytical patterns
Analytical workloads typically:
- Need scanning/aggregation across large datasets
- Often use big data processing and BI layers
What questions look like
Scenario questions often describe:
- “Live app transactions” → transactional category
- “Executive reporting and trend analysis” → analytical category
How does DP-900 test SQL and relational concepts?
Relational data on Azure is measured through your ability to understand how relational systems organize data and how SQL supports querying.
Core relational vocabulary to master
- Tables and rows (entities and records)
- Relationships (how entities relate)
- Keys (identifiers and linkage concepts)
Azure SQL services (conceptual mapping)
DP-900 doesn’t require you to administer production databases. It focuses on understanding:
- Why relational databases are used
- How SQL supports querying structured data
Tip: Practice with exam-style practice questions where the scenario describes normalized data and reporting needs, then decide whether “relational + SQL” is the best match.
What does DP-900 cover for non-relational data and Azure Cosmos DB?
Non-relational data topics test your ability to choose a data approach suited to flexible schemas and scalable app workloads.
Non-relational concepts (NoSQL mindset)
Non-relational systems typically emphasize one or more of these:
- Flexible schema (schema-on-read mindset)
- Horizontal scalability
- Modeling optimized for application access patterns
Azure Cosmos DB (what to focus on for DP-900)
DP-900 expects conceptual familiarity with Cosmos DB as a multi-model NoSQL option.
In practice, Cosmos DB concepts show up in questions where you must match:
- A data model style to a service type
- A workload need (like flexible JSON documents) to a NoSQL system
What analytics services and patterns are in the DP-900 syllabus?
Analytics workloads on Azure are tested across big data processing and decisioning layers.
Large-scale analytics and the “analytics toolchain”
In DP-900 terms, analytics often involves:
- Storing data (object storage / lake patterns)
- Processing at scale (batch transformations)
- Visualizing and monitoring insights (BI, dashboards)
Azure Databricks (conceptual)
Databricks shows up in questions about:
- Running analytics workloads at scale
- Processing and transforming large datasets
Microsoft Fabric (conceptual)
Fabric appears in the syllabus as part of the modern analytics ecosystem conceptually.
Real-time analytics (streaming concepts)
DP-900 expects you to understand real-time/near-real-time use cases like:
- Monitoring events as they arrive
- Updating dashboards quickly based on new data
Power BI (BI and reporting)
Power BI shows up in questions about:
- Dashboards, reports, and business visualization
- Supporting analytical decision-making
Where to buy a Microsoft DP-900 exam voucher in Belgium (and how to compare “cheap”)
A “cheap DP-900 exam voucher” only matters if it still lets you book successfully and learn effectively. In Belgium, you typically buy through one of these routes.
Voucher purchase routes: practical comparison
Use this table to decide what “good value” means for you.
| Route | Typical source | Price transparency | Booking convenience | Support for exam day | Study material bundle | Best for |
|---|---|---|---|---|---|---|
| Microsoft/voucher store | Vendor-branded voucher listing | High (vendor pricing) | High | Direct to vendor channel | Usually direct | Candidates who want the simplest path |
| Authorized reseller | Partner channel listing | Often clear but may vary | Medium–High | Depends on reseller process | Sometimes included | Candidates comparing availability in Belgium |
| Training academy / exam prep provider | Provider voucher or bundled offers | Varies by bundle | Medium | Varies | Often includes learning resources | Candidates who want structured prep |
Tip: “Cheap DP-900” should be evaluated as total cost: voucher price + any taxes/fees + how fast you can schedule in Belgium.
SecByte voucher buying option (one place to compare)
If you want a single starting point for where to buy DP-900 exam voucher, SecByte is a practical option to compare in one view. For example, you can review a DP-900 exam voucher listing and then proceed using your preferred booking route.
DP-900 voucher price and exam cost in Belgium: what you should verify before paying
DP-900 exam cost in Belgium is determined by the current Microsoft/Pearson VUE exam fee listing for your region, currency, and delivery option. Because exam fees can change over time, the safest approach is to verify the exact EUR amount on the official booking page where the voucher will be applied.
What impacts “final cost” for candidates
When comparing DP-900 voucher prices, keep an eye on:
- Currency (EUR) and regional fee updates
- Delivery method (online proctored vs testing center)
- Any taxes/transaction fees shown at checkout
- Whether the voucher is intended for the same exam code you plan to book
Warning: Avoid unverified listings that don’t clearly tie the voucher to Exam DP-900. You want a voucher that matches the exam code and booking workflow.
DP-900 exam overview: exam code, name, certification mapping, and what to expect
Microsoft DP-900 is commonly positioned as an entry certification for Azure data fundamentals. For candidates who already understand basic cloud terminology (or are coming from general networking/security backgrounds), DP-900 provides a structured entry into Azure data and analytics concepts.
Comparison table: DP-900 quick reference (and why it matters)
This table summarizes the DP-900 exam at a glance. For price, use the official listing for Belgium on the scheduling/voucher checkout screen.
| Exam code | Exam name | Price (Belgium) | Status | Syllabus areas covered | Difficulty | Certification / level |
|---|---|---|---|---|---|---|
| DP-900 | Microsoft Azure Data Fundamentals | Varies by current regional fee (verify on booking page) | Typically available online/testing center depending on region | Core data concepts; relational on Azure; non-relational on Azure; analytics workloads | Entry/fundamentals | Azure data fundamentals baseline |
How DP-900 relates to other certifications
DP-900 is a conceptual companion for role-oriented Azure paths. For example:
- If you’re studying toward Microsoft AZ-104 Azure Administrator, DP-900 helps you talk confidently about Azure data building blocks.
- If you’re coming from security/network fundamentals like CompTIA Security+ SY0-701 or CompTIA Network+ N10-009, DP-900 adds the “data layer” vocabulary needed to understand where data lives and how it’s processed.
- If you’re mapping across clouds, DP-900 complements high-level architecture understanding (for example, AWS Solutions Architect Associate SAA-C03 concepts) with hands-on mental models.
DP-900 exam preparation: a focused plan that matches the syllabus weightings
A strong DP-900 prep plan is simple: learn the concepts, then repeatedly practice scenario questions that exercise those exact concepts.
Step-by-step 14-day preparation plan (adjust as needed)
Days 1–3: Core data concepts (25–30%)
- Learn structured/semi/unstructured definitions
- Study transactional vs analytical workloads
- Practice identifying workload type from short scenarios
Days 4–6: Relational data on Azure (20–25%)
- Learn SQL and relational concepts
- Connect relational modeling to operational scenarios
- Practice “which service matches this data/workload?” questions
Days 7–8: Non-relational data on Azure (15–20%)
- Learn non-relational mindset
- Focus on conceptual Azure Cosmos DB fit
- Practice scenario-to-approach mapping
Days 9–12: Analytics workloads (25–30%)
- Large-scale analytics concepts
- Azure Databricks, Microsoft Fabric (conceptual), real-time analytics
- Power BI for reporting and BI dashboards
Days 13–14: Exam-style practice + review
- Do timed exam-style practice questions
- Review explanations until you can justify the best answer
- Run a final mini-quiz targeting the weakest syllabus areas
Tip: Build your own “error log.” For each missed question, record: (1) the syllabus category, (2) the concept you missed, and (3) the correct mental rule.
Use free practice to reduce retake risk
Free ITExamDeals mock exams are a practical way to assess readiness. Plan to take at least one mock exam and then use the results to focus your revision.
Key benefit: passing a mock exam unlocks up to 70% off voucher offers (when available through the platform), helping you control cost after you validate your prep.
Recommended study resources for DP-900 (what to prioritize)
You will learn fastest by combining:
- Microsoft Learn content that mirrors the syllabus
- Exam-style practice questions that test scenarios
- A structured notes system so you can review quickly
What to prioritize in Microsoft Learn-style study
- Concept pages explaining data shapes and workload types
- Services overview pages for Azure SQL, Cosmos DB, Blob/File/Table Storage
- Analytics and BI conceptual pages: Databricks, Fabric, Power BI, and real-time analytics patterns
How to turn learning into recall
Use a simple technique:
- Write a one-sentence “rule” for each concept
- Add one “example scenario” that fits that rule
- Create 1–2 practice questions per concept after reading
DP-900 FAQ (common questions candidates ask)
###[What is DP-900?] DP-900 is the Microsoft certification exam focused on Azure Data Fundamentals. It covers foundational concepts of data types, relational and non-relational data, and analytics workloads across Azure services.
###[What is the DP-900 syllabus?] The DP-900 syllabus is organized into four main areas: Core data concepts (25–30%), Relational data on Azure (20–25%), Non-relational data on Azure (15–20%), and Analytics workloads on Azure (25–30%). Each area tests your understanding of how data shape and workload intent map to Azure services.
###[How much does DP-900 cost in Belgium?] DP-900 cost in Belgium is set by Microsoft/Pearson VUE regional exam fees and depends on the current listing and your exam delivery option. Compare DP-900 voucher price by verifying the exact EUR amount shown on the official booking/voucher checkout page.
###[Where can I buy a DP-900 voucher in Belgium?] You can typically buy a DP-900 voucher through the Microsoft voucher/store route, an authorized reseller, or via a training/exam-prep provider. Compare total value based on price transparency, booking convenience, and any included support.
###[What is the cheapest way to take DP-900?] The most cost-effective approach is usually the one that reduces retakes: buy the voucher route that lets you schedule quickly and study effectively. Use mock exams to validate readiness; passing a mock can unlock up to 70% off voucher offers when available through the platform.
###[Is DP-900 difficult?] DP-900 is an entry-level exam designed to test fundamentals. It’s not “hard” in the way role-execution exams can be, but you must understand how to match data shape, workload type, and Azure services in scenario questions.
###[How do I prepare for DP-900?] Prepare by mapping your study time to the syllabus weightings and practicing scenario-based exam-style questions. Start with core data concepts, then relational and non-relational mapping, and finish with analytics workloads (including Databricks, Fabric concepts, real-time analytics, and Power BI).
Next steps
- Review the DP-900 syllabus categories and allocate study time by the given weightings.
- Build a quick “data model” cheat sheet: structured vs semi-structured vs unstructured; transactional vs analytical.
- Take at least one free ITExamDeals mock exam to measure readiness and focus your weak areas.
- Compare voucher purchase routes by total cost (voucher price + regional fees + booking convenience), then schedule through your preferred workflow.