Buy a Microsoft DP-900 exam voucher in Czech Republic by matching your preferred purchase route (Microsoft test provider, authorised reseller, or training partner) to your need for support, documentation, and payment convenience. This guide explains DP-900’s skills by percentage—core data concepts, relational and non-relational data on Azure, and analytics workloads—plus a practical preparation plan and voucher buying checklist.
Key takeaways
- DP-900 (Microsoft Azure Data Fundamentals) validates foundational knowledge of data concepts, data storage, transactional vs analytical workloads, and analytics services.
- The current DP-900 skills measured map to 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%).
- Voucher pricing is country- and provider-dependent—use official checkout pages to confirm the live DP-900 exam cost for Czech Republic.
- For best exam readiness, use exam-style practice questions and free ITExamDeals mock exams; passing a mock exam unlocks up to 70% off voucher offers.
- When buying a voucher, prioritise legitimate purchase channels, clear scheduling instructions, and a smooth redemption process.
What is Microsoft DP-900 and what does it test?
DP-900 is Microsoft’s entry-level fundamentals exam focused on Azure data concepts. It helps you understand how data types relate to use cases, how Azure stores and processes both structured and unstructured data, and how analytics patterns differ from transactional workloads. You don’t need to be a database specialist—DP-900 is built to be practical and conceptual.
What DP-900 measures (the skills behind the questions)
DP-900 questions are designed around learning objectives that fall into four weighted domains:
- Core data concepts (25–30%)
- Relational data on Azure (20–25%)
- Non-relational data on Azure (15–20%)
- Analytics workloads on Azure (25–30%)
These domains cover:
- Structured, semi-structured, and unstructured data
- Data storage and how storage choices connect to use cases
- Relational vs non-relational approaches
- Transactional vs analytical workloads
- Core SQL and relational concepts
- Azure services such as Azure SQL Database, Azure Blob/File/Table Storage, Azure Cosmos DB, Azure Databricks, Microsoft Fabric, Power BI, and real-time analytics patterns
Tip: Think of DP-900 as “Azure data in plain language.” The exam-style questions reward clear mental models: “Which data type?”, “Which workload?”, “Which Azure service fits?”
Who should take DP-900?
DP-900 is ideal if you’re one of the following:
- Starting your Azure journey and want data fundamentals before deeper certifications (like admin, architect, or data engineer tracks).
- Preparing for roles that touch data: cloud support, security analysts working with logs, solution implementers, and BI/reporting stakeholders.
- Validating baseline knowledge alongside other networking/security foundations such as CompTIA Security+ SY0-701, CompTIA Network+ N10-009, or broader cloud readiness.
For context, DP-900 complements paths like Microsoft AZ-104 Azure Administrator (later), while staying more conceptual than operational.
What is the DP-900 syllabus? (complete skills with percentage weightings)
The DP-900 syllabus is organised into the same four domains used in the Microsoft Learn guide. Your best preparation strategy is to build knowledge in that order, spending slightly more time where your confidence is lowest.
Domain breakdown with weightings (what to study first)
Below is the current DP-900 skills outline—use it as your study tracker.
1) Core data concepts (25–30%)
Focus on definitions and how they map to real-world systems:
- Structured data: rows/columns, schemas, tables
- Semi-structured data: flexible formats such as JSON-like structures
- Unstructured data: text, images, audio, and documents
- Data storage concepts: how storage tiers and formats support different workloads
- Transactional vs analytical workloads
- Transactional: typically supports point reads/writes and operational systems
- Analytical: supports reporting, aggregation, and large-scale analysis
2) Relational data on Azure (20–25%)
You’ll study relational fundamentals and Microsoft’s relational services:
- Relational concepts
- tables, primary keys, foreign keys
- relationships between entities
- normalised design vs pragmatic denormalisation
- SQL fundamentals
- basic querying concepts
- thinking in sets and relationships
- Azure SQL services (conceptual use)
- Azure SQL database concepts
- how relational services support transactional and structured workloads
3) Non-relational data on Azure (15–20%)
Non-relational topics match how modern apps store and process flexible or massive data:
- NoSQL concepts
- key-value and document-style thinking
- partitioning and scalability concepts (at a fundamentals level)
- Azure Cosmos DB
- the role of globally distributed, multi-model data access (concept level)
- Azure storage services
- Blob Storage for unstructured objects
- File Storage for SMB file shares
- Table Storage for schemaless key/attribute storage
4) Analytics workloads on Azure (25–30%)
This is the “data platform” domain: processing, transforming, visualising, and streaming.
- Large-scale analytics
- batch analytics patterns
- lakehouse concepts at a fundamentals level
- Azure Databricks
- what it’s used for in analytics and data processing
- Microsoft Fabric
- how modern analytics platforms unify data movement, preparation, and BI
- Real-time analytics
- streaming use cases and how they differ from batch
- Power BI
- dashboards and reporting patterns powered by data models
Note: DP-900 focuses on “what fits what.” You’re not expected to memorise every feature flag—study how each service aligns to structured/unstructured data and workload type.
What data types and storage models should you know for DP-900?
DP-900 success comes from matching the question scenario to the data model and Azure storage/service option.
Structured, semi-structured, and unstructured data (what each means)
- Structured data: organised into rows/columns, consistent schema (classic SQL world).
- Semi-structured data: not strictly relational but still tagged/labelled (for example, JSON-like payloads).
- Unstructured data: lacks a rigid schema (documents, images, audio, free text).
Tip: When an exam-style scenario mentions “schema” and “tables,” think relational. When it emphasises “objects,” “documents,” or “media,” think non-relational storage and object stores.
Data storage on Azure: the DP-900 service map
You should understand the role of Azure storage services at a conceptual level:
- Azure Blob Storage
- Common for unstructured data and object storage.
- Useful when you want scalable storage for files/media and data lakes.
- Azure File Storage
- Supports file shares and SMB-style access patterns.
- Azure Table Storage
- Stores data as key/attribute sets; schemaless or flexible compared to relational tables.
Transactional vs analytical workloads (the exam’s favourite comparison)
DP-900 questions often describe workload goals.
- Transactional workloads
- Optimised for operations (write/read events)
- Strong consistency and predictable performance matters
- Analytical workloads
- Optimised for insights and aggregations
- Often involves processing large volumes of data, transforming it, and producing reports
Warning: Don’t mix up “database” with “analytics.” A transactional system can feed analytics, but the analytics workload is designed for different query patterns and scaling.
What relational data and SQL concepts appear on DP-900?
Relational concepts show up both directly and indirectly: scenarios might ask which model fits a business requirement, or which service aligns with SQL-style structured data.
Relational basics: the core vocabulary
Expect fundamentals like:
- Tables containing rows and columns
- Primary keys identify rows uniquely
- Foreign keys define relationships between tables
- Normalisation and why schema design reduces redundancy
SQL and relational thinking (without needing advanced coding)
DP-900 is not a full SQL exam, but you still need the conceptual SQL mindset:
- Set-based querying
- Selecting and filtering data based on relational relationships
- Understanding how relational queries support structured reporting
Azure SQL services: how they connect to workloads
On DP-900, Azure SQL services are typically presented through the lens of:
- Structured data management
- Supporting relational application workloads
- A foundation for operational data that can also be analysed later
Tip: When the scenario focuses on structured records, relationships, and “SQL-like” querying, lean into relational + Azure SQL concepts.
What non-relational data services are covered in DP-900?
Non-relational data is crucial because real systems often store flexible documents, high-volume events, and varied payload formats. DP-900 tests your understanding of when to choose non-relational approaches.
Azure Cosmos DB: fundamentals you should be able to explain
DP-900 typically frames Cosmos DB as a service for:
- Non-relational data access patterns
- Handling high-scale data workloads
- Supporting application models that need flexible schemas and scalable storage
Azure storage services: Blob, File, and Table
DP-900’s storage coverage helps you choose the right storage style:
- Blob Storage for object/unstructured storage patterns
- File Storage for file share access patterns
- Table Storage for key/attribute schemaless-style storage
Warning: If the scenario says “store large amounts of unstructured objects,” avoid forcing it into relational tables. DP-900 rewards using the right storage model for the data shape.
What analytics workloads on Azure does DP-900 cover?
The analytics domain is where DP-900 connects data concepts to an end-to-end analytics journey: ingesting, processing at scale, transforming, and presenting insights.
Large-scale analytics: batch vs platform concepts
Large-scale analytics on DP-900 is about understanding:
- How analytics workloads process and aggregate data
- Why analytics often differs from operational transaction processing
Azure Databricks: what you should associate it with
Azure Databricks appears as a major analytics and processing platform.
- Use it for analytics workflows and large-scale processing concepts
- Understand that it sits within the broader analytics architecture
Microsoft Fabric: modern analytics and BI ecosystem
Microsoft Fabric represents a unified analytics platform approach.
- The exam-style understanding you need: Fabric supports analytics workflows that can include data preparation, engineering, and BI delivery.
Real-time analytics: the workload difference
Real-time analytics questions typically distinguish:
- Streaming/near-real-time insights vs batch reporting
- The operational need for fresh data
Power BI: turning data into dashboards and reports
Power BI is covered as a key solution for:
- Reporting and interactive visualisation
- BI outputs that depend on processed data models
Tip: When an exam scenario mentions dashboards, reporting, KPIs, or interactive visuals, think Power BI and “analytics output.” When it mentions processing at scale, think Databricks/Fabric.
How should you prepare for DP-900? (a practical plan that matches the syllabus)
Preparation works best when it’s aligned to the four weighted domains. Use a repeating loop: learn → apply with scenarios → review mistakes → retest.
A 14-day preparation outline (customise based on your schedule)
Day 1–3: Core data concepts
- Structured vs semi-structured vs unstructured
- Transactional vs analytical workloads
- Map each definition to a scenario
Day 4–6: Relational data on Azure
- SQL concepts and relationships
- Azure SQL service fundamentals
- Create a quick “relational vs non-relational” comparison in your notes
Day 7–9: Non-relational data on Azure
- Cosmos DB fundamentals
- Blob/File/Table Storage roles
- Practice: identify the best storage/service for a described data type
Day 10–13: Analytics workloads
- Large-scale analytics patterns
- Databricks and Fabric associations
- Real-time analytics scenarios
- Power BI output/reporting patterns
Day 14: Exam-style practice + review
- Do timed sets of exam-style practice questions
- Review wrong answers by domain
- Revisit weak areas until confident
Use mock exams strategically
Free ITExamDeals mock exams are an efficient way to simulate exam pressure and identify your gaps early. After you pass a mock exam, you unlock up to 70% off voucher offers, making it easier to secure the voucher once you’re ready.
Warning: Don’t chase random practice. Focus on coverage across all four weighted areas so you’re not surprised on exam day.
How much does a DP-900 exam voucher cost in Czech Republic?
The DP-900 exam cost and voucher pricing depends on the current Microsoft exam and test delivery pricing for Czech Republic and the payment pathway used at checkout. Prices can change over time, and the only accurate figure is the live price displayed during purchase.
DP-900 voucher price expectations (what you can control)
You can control preparation and scheduling timing, but not the final price itself. For a reliable number:
- Choose your purchase route (vendor store, authorised reseller, or training partner).
- Select Microsoft DP-900 during checkout.
- Confirm the current live total shown for Czech Republic.
- Confirm voucher delivery and redemption steps before payment.
Tip: Treat DP-900 voucher price as a checkout-time variable. Your best “value” decision is the combination of correct price + smooth redemption.
Where to buy a DP-900 exam voucher in Czech Republic? (realistic buying routes)
Buying a DP-900 exam voucher should be straightforward. The best option depends on whether you value direct purchase simplicity, extra administrative help, or payment flexibility.
Purchase route comparison (price vs support vs ease)
Below is a neutral comparison of the most common legitimate routes candidates use.
| Buying route | Typical best for | Price transparency | Support & documentation | What to verify before checkout |
|---|---|---|---|---|
| Microsoft / exam test provider checkout | Lowest friction, clear redemption flow | Highest transparency at purchase time | Provider documentation is direct | Voucher delivery method and how to schedule in Czech Republic |
| Authorised reseller | Convenience, sometimes consolidated invoicing | Depends on reseller | Reseller may provide purchase documentation | Voucher validity, redemption instructions, and invoice details |
| Training academy / exam partner | Candidates who want bundled guidance | Depends on bundle | Often includes learning materials | Whether you’re paying only for the voucher or a bundle |
| Voucher marketplace (third-party listings) | Comparison shopping | Variable | Support can differ widely | Voucher authenticity, redemption steps, and refund policy |
Where to buy DP-900 voucher: a practical recommendation
For a smooth “voucher-first” experience, SecByte is a solid option to consider for a DP-900 exam voucher in Czech Republic. Use the purchase flow shown on their page to confirm the live cost and redemption instructions:
Tip: Regardless of route, confirm the voucher redemption process before you pay. The “best price” only matters if the voucher works as expected for scheduling.
DP-900 exam overview table (code, name, cost, syllabus areas, difficulty)
Different retailers and guides format the exam information differently. The table below helps you compare key exam facts and decide if DP-900 matches your timeline.
Reminder: DP-900 price and availability can vary by region and change over time. Always verify the live details on the voucher/exam purchase page for Czech Republic.
| Exam code | Exam name | Price / cost | Status (what it means for you) | Syllabus areas | Difficulty (candidate fit) | Certification outcome |
|---|---|---|---|---|---|---|
| DP-900 | Microsoft Azure Data Fundamentals | Varies by region and current checkout pricing | Generally available for scheduling through the exam delivery provider | Core data concepts; relational data on Azure; non-relational data on Azure; analytics workloads on Azure | Beginner-friendly foundations exam; requires clear data/service mapping | Azure data fundamentals credential after passing |
How to interpret “difficulty” fairly
DP-900 difficulty is best understood as “concept coverage breadth” rather than deep technical challenge. If you learn the service-to-scenario mapping and can explain the differences between data types and workload styles, you’ll be well positioned.
Is DP-900 difficult? (what the exam-style questions reward)
DP-900 is designed for fundamentals. The difficulty comes from breadth: you must understand several data models and Azure services at a conceptual level.
What you’ll feel during practice
Most candidates notice two patterns:
- Questions are scenario-based, so you must identify data shape + workload type.
- The “correct answer” often depends on the best fit (for example, choosing object storage for unstructured data vs relational storage for structured records).
Tip: Build “if/then” notes. Example: If the scenario mentions large unstructured objects, then think Blob Storage; if it mentions relational tables and SQL concepts, then think Azure SQL/relational model.
What makes DP-900 easier to pass
- You know basic database vocabulary (tables, keys, schema vs schemaless concepts)
- You can explain transactional vs analytical workloads
- You’ve practised exam-style questions across all four domains
DP-900 syllabus topic breakdown: quick study checklist
Use this checklist as a final sprint. It mirrors the DP-900 knowledge domains and ensures you’ve covered every major topic.
Core data concepts checklist
- Structured vs semi-structured vs unstructured data
- Data storage concepts (high-level)
- Transactional vs analytical workload characteristics
Relational data on Azure checklist
- Relational design basics: relationships, keys, tables
- SQL concepts at a fundamentals level
- Azure SQL services association to structured workloads
Non-relational data on Azure checklist
- Non-relational data model basics
- Azure Cosmos DB fundamentals and use cases
- Azure storage services: Blob, File, Table—when to use each
Analytics workloads on Azure checklist
- Large-scale analytics concepts
- Azure Databricks association to analytics processing
- Microsoft Fabric’s role in unified analytics workflows
- Real-time analytics vs batch reporting
- Power BI reporting and dashboard output
FAQs
What is DP-900?
DP-900 is Microsoft Azure Data Fundamentals, a fundamentals exam that validates your understanding of data concepts and Azure data services. It focuses on structured and unstructured data, storage options, workload types (transactional vs analytical), and analytics outputs.
What is the DP-900 syllabus?
The DP-900 syllabus is organised into four main weighted domains: 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%). You should study structured/semi-structured/unstructured data, SQL/relational basics, Azure SQL services, Blob/File/Table Storage, Cosmos DB, Databricks, Microsoft Fabric, real-time analytics, and Power BI.
How much does DP-900 cost?
DP-900 exam price depends on current checkout pricing for your region (including Czech Republic) and the purchase route you use. The accurate DP-900 exam cost is the live total shown on the official exam/voucher purchase page at the time of checkout.
Where can I buy a DP-900 exam voucher?
You can buy DP-900 vouchers through common legitimate routes: the official exam test provider checkout, authorised resellers, and training partners that offer voucher issuance. A practical voucher option to consider is SecByte, using their DP-900 voucher page.
What is the cheapest way to take DP-900?
The cheapest way is usually the one that combines the lowest live voucher price at purchase time with a smooth redemption process. Candidates often reduce costs by preparing first and then buying a voucher when they’re ready; passing a mock exam unlocks up to 70% off voucher offers on ITExamDeals.
Is DP-900 difficult?
DP-900 is generally beginner-friendly, but it requires breadth across four data domains. The exam-style questions reward your ability to map a scenario to the correct data model (relational vs non-relational), storage option, and analytics approach.
Next steps
- Gather DP-900 study materials aligned to the four weighted domains.
- Complete an exam-style practice set, then review answers by topic area (core data, relational, non-relational, analytics).
- If your goal is to buy a voucher in Czech Republic, select your purchase route and confirm the live DP-900 exam cost during checkout.
- Book your exam only after you can consistently choose the best Azure service for a described data and workload scenario.