Microsoft DP-900 is the Azure Data Fundamentals certification that validates core data concepts and how Azure stores and analyzes data (relational, non-relational, and analytics workloads). In this guide, Greece-based candidates get the complete DP-900 syllabus with weightings, a step-by-step study plan, and a neutral DP-900 exam voucher buying guide—so you can compare DP-900 voucher price options without guessing.
Key takeaways
- DP-900 syllabus by weight: Core data concepts (25–30%), relational data on Azure (20–25%), non-relational data on Azure (15–20%), analytics workloads on Azure (25–30%).
- Exam focuses on practical understanding of data storage and workloads: SQL/relational, Blob/File/Table, Cosmos DB, Databricks, Microsoft Fabric, real-time analytics, and Power BI.
- Voucher buying in Greece: compare Microsoft/official stores, authorized resellers, and training academies for price, support, and scheduling help.
- Preparation strategy that works: use vendor-independent exam-style practice questions and reinforce each syllabus objective with hands-on Azure learning paths.
- Mock exams unlock savings: passing a mock exam can unlock up to 70% off voucher offers (ITExamDeals promotion).
What is Microsoft DP-900 (Azure Data Fundamentals)?
Microsoft DP-900 is a certification exam for Azure Data Fundamentals. It tests whether you can explain and distinguish modern data concepts and how Microsoft Azure supports them across storage and analytics workloads.
DP-900 in one paragraph
DP-900 validates your understanding of data types (structured, semi-structured, unstructured), data storage options on Azure, transactional vs analytical workloads, and how customers process data using SQL/relational services, NoSQL databases, data lakes/warehousing-style analytics, and BI/real-time analytics. The emphasis is on concepts and mapping requirements to Azure services—exactly the kind of knowledge you use when planning data solutions.
What DP-900 is not
DP-900 is not a deep administration or engineering exam. You won’t be asked to run complex production operations for databases or to configure full data platforms end-to-end. Instead, it’s designed to measure foundation-level understanding of what the services are and why they’re used.
Who usually benefits from DP-900
DP-900 is ideal for candidates from:
- Data and analytics-adjacent roles (analyst, BI developer, reporting specialist)
- Solution builders learning Azure data architecture
- Cloud-adoption teams translating business needs into data capabilities
- Candidates aiming to progress toward broader Azure certifications (for example, Microsoft AZ-104 Azure Administrator)
Who should take the DP-900 exam?
DP-900 is perfect when you want a structured way to learn Azure data at the fundamentals level.
Best-fit candidate profiles
Consider DP-900 if you are:
- Starting Azure data learning and need a clear roadmap
- Preparing for DP-420 (Data Engineering on Microsoft Azure) or similar engineering-focused paths
- Transitioning from other ecosystems (for example AWS Solutions Architect Associate SAA-C03) into Microsoft cloud concepts
- Building confidence before deeper exams such as Microsoft AZ-104 Azure Administrator
Candidates who can skip the fundamentals basics
If your background includes hands-on work with data lakes, SQL, ETL/ELT, NoSQL, and BI, DP-900 still adds value, but you can compress preparation by mapping your experience directly to each syllabus objective.
Tip: Use the DP-900 syllabus weightings to decide what to study first. If you already know SQL basics, spend more time on semi-structured vs unstructured, and how Azure chooses storage + analytics patterns.
How much does the DP-900 exam cost in Greece?
The DP-900 exam cost depends on the country/region because Microsoft lists exam pricing per market in the official exam booking flow. The most accurate “DP-900 exam cost” number for Greece is the fee shown in the official Microsoft exam details and scheduling page when you select your country.
What affects DP-900 voucher price
For Greece, the final amount for a DP-900 exam voucher typically depends on:
- The Greece/Europe pricing region you’re purchasing in
- The exam marketplace used for voucher redemption
- Any bundle or marketplace-specific fees charged by a reseller (not by Microsoft)
What you should do before buying
- Identify your exact exam code: DP-900.
- Confirm the currency and price shown at checkout for Greece.
- Compare the voucher price with the value you get (for example, who supports scheduling, and whether any guidance materials are included).
Warning: Don’t rely on “unofficial” numbers from forums. Exam pricing is updated periodically and can differ by region.
What is the DP-900 exam format?
DP-900 is designed as an accessibility-friendly foundation exam that tests conceptual understanding.
Exam format essentials (how to plan your prep)
Use these planning rules to set expectations:
- Expect multiple question types that validate concepts across Azure data services
- Questions typically require you to choose the best fit for a scenario (for example: which storage type matches the data shape)
- The exam measures whether you can connect workloads (transactional vs analytical) to the right Azure capability
How to prepare for the exam-style experience
Instead of memorizing definitions, practice by answering scenario questions:
- “If data is semi-structured logs, which storage approach fits?”
- “When to use SQL vs NoSQL for a given workload?”
- “How does analytics processing differ from operational reporting?”
Tip: Build flashcards for service-category relationships (e.g., “Blob storage supports…”, “Cosmos DB supports…”, “Power BI connects data sources to…”) rather than isolated facts.
What is the full DP-900 syllabus with percentage weightings?
DP-900 measures four major areas. Use the weightings below to allocate your study time.
DP-900 syllabus overview (by skill area)
- Core data concepts (25–30%)
- Relational data on Azure (20–25%)
- Non-relational data on Azure (15–20%)
- Analytics workloads on Azure (25–30%)
What topics are covered in DP-900 (detailed breakdown)?
Below is a detailed, syllabus-aligned breakdown that you can follow as a study checklist.
1) Core data concepts (25–30%)
You should be able to explain and compare:
- Structured, semi-structured, and unstructured data
- Structured: predictable schema (e.g., tables)
- Semi-structured: flexible formats with tags/metadata (often JSON/XML)
- Unstructured: no fixed schema (e.g., text, images, audio)
- Data storage basics
- Why different storage exists: access patterns, schema flexibility, scale, and cost
- Transactional vs analytical workloads
- Transactional: frequent writes/updates, serving operational apps
- Analytical: read-heavy patterns, aggregations, reporting, and decision support
- Data processing outcomes
- Operational reporting vs deep analytics a
Tip: For DP-900, the “why” matters. Always connect the workload type to the storage/service fit.
2) Relational data on Azure (20–25%)
You should understand:
- SQL and relational concepts
- Tables, rows, columns
- Relationships and joins (high-level understanding)
- Schemas and normalization vs denormalization (conceptual)
- Azure SQL services
- Azure SQL Database (managed relational database)
- Azure SQL Managed Instance (conceptual fit for compatible SQL workloads)
- Azure SQL Server (where applicable as a service concept)
- Relational data patterns
- How relational databases support transactional workloads
- How relational data can also be used for analysis when structured fits the business needs
3) Non-relational data on Azure (15–20%)
You should cover:
- Azure Storage services and data categories
- Azure Blob Storage (objects/files; typically unstructured)
- Azure File Storage (managed file shares)
- Azure Table Storage (NoSQL key-value/table-style storage)
- Azure Cosmos DB
- Core idea: globally distributed NoSQL database service
- Supports multiple data models (key concept: JSON-style document approaches)
- When NoSQL fits better
- Schema flexibility
- Large-scale throughput needs
- Data models that don’t map cleanly to strict relational tables
4) Analytics workloads on Azure (25–30%)
This area is the backbone of DP-900’s data platform understanding.
You should learn how Azure supports:
- Large-scale analytics
- The idea of processing large datasets efficiently
- Batch vs interactive patterns (conceptual)
- Azure Databricks
- Runs data engineering and analytics workloads
- Common role: transforming and analyzing data at scale
- Microsoft Fabric
- Integrated analytics/BI ecosystem concept
- Includes experiences for data engineering and data visualization (conceptual)
- Real-time analytics
- The concept: ingest/stream data and analyze near-real time
- Power BI
- Business intelligence: dashboards, reports, and data visualizations
- The connection of analytics outputs into BI consumption
Warning: “Analytics” on DP-900 is broader than just BI. You must understand the data-to-insights pipeline: storage → processing → analytics → visualization.
How do structured, semi-structured, and unstructured data map to Azure services?
DP-900 expects you to reason about data shape and workload.
Practical mapping you should memorize (conceptually)
- Structured data → typically fits relational databases and SQL-based querying
- Semi-structured data → often handled as documents (NoSQL) or ingested formats for analytics
- Unstructured data → commonly stored as objects/files (e.g., blob/object storage) and processed for retrieval or analytics
Scenario-style examples (exam mindset)
- If the requirement is to store large amounts of binary/text documents: choose a blob/object-style approach.
- If the requirement is to store flexible JSON-like documents and query with NoSQL patterns: choose Cosmos DB.
- If the requirement is a well-defined table structure with joins and SQL queries for operational reporting: choose a relational SQL approach.
Transactional vs analytical workloads: what does DP-900 expect you to know?
DP-900 tests whether you can classify workloads and choose the best Azure approach.
Transactional workloads
- App-driven operations
- Frequent read/write activity
- Emphasis on serving business applications
Analytical workloads
- Data exploration and aggregation
- Read-heavy patterns
- Emphasis on insights, reporting, and analytics pipelines
How the storage choice changes
- Transactional workloads typically align with relational or operational NoSQL patterns.
- Analytics workloads align with data processing ecosystems and BI tools like Power BI, supported by scalable data storage.
Tip: When in doubt, identify whether the workload is about serving application transactions or producing analytical insights.
Azure relational vs non-relational: SQL and data modelling concepts
DP-900’s relational section is more about understanding what SQL and relational concepts enable than about writing complex queries.
Relational basics to cover
- Tables and relationships
- Schema and predictable structure
- SQL concepts: querying rows and joining related datasets
Non-relational fundamentals to cover
- Schema flexibility
- Data models designed for scale and flexible document/object structures
- Storage services that support different data formats and access patterns
DP-900 exam voucher guide for Greece: where to buy and how to compare DP-900 voucher price
The best “cheap DP-900 exam voucher” choice isn’t only the lowest number—it’s the best balance of voucher cost, redemption reliability, and support during booking.
Where DP-900 vouchers are typically sold
Here are realistic routes you’ll encounter:
| Purchase route | Typical advantages | Watch-outs for Greece-based candidates |
|---|---|---|
| Microsoft/official exam booking flow | Direct redemption, official pricing shown in checkout | Price varies by region; no third-party “discount” framing |
| Authorized resellers | Sometimes clearer voucher purchasing experience | Pricing can include reseller markup; verify redemption instructions |
| Training academies/partners | Bundles may include study guidance | Voucher pricing may be packaged; confirm what’s included |
Warning: Never buy from sellers that don’t clearly explain voucher redemption steps for the correct exam code (DP-900).
Where to buy a DP-900 exam voucher (recommended approach)
A practical option for voucher acquisition is to use a reputable voucher provider such as SecByte. If you’re looking for a DP-900 exam voucher and want a straightforward voucher listing flow, use this resource: DP-900 exam voucher.
How to compare “DP-900 voucher price” objectively
When you compare options, evaluate:
- Currency and region (Greece pricing)
- Voucher delivery method (instant vs email delivery)
- Whether the purchase route includes clear instructions for redemption
- If any extra fees apply
A quick checklist before you pay
- Confirm the voucher is for DP-900.
- Confirm the voucher works in the same region you plan to book the exam from.
- Save the voucher redemption instructions immediately after purchase.
DP-900 comparison table: exam code, name, status, syllabus focus
Use this table to quickly verify the exam you’re buying preparation for.
| Exam code | Exam name | Price/cost | Status | Syllabus areas | Difficulty (fit) | Certification path context |
|---|---|---|---|---|---|---|
| DP-900 | Microsoft Azure Data Fundamentals | Regional fee shown at official booking | Active (check Microsoft exam page for latest) | Core data concepts (25–30%), Relational data on Azure (20–25%), Non-relational data on Azure (15–20%), Analytics workloads on Azure (25–30%) | Foundation-level | Strong starting point for Azure data and analytics learning |
Tip: For “DP-900 exam cost” and “DP-900 exam price,” always rely on the official booking flow because it reflects your country/region at the time of purchase.
DP-900 exam preparation: a step-by-step plan that matches the syllabus
A good DP-900 plan uses weighting-first study, then turns your knowledge into exam-style practice questions.
Step 1: Build your syllabus checklist (Day 1–2)
Create a single checklist with four sections:
- Core data concepts (25–30%)
- Relational data on Azure (20–25%)
- Non-relational data on Azure (15–20%)
- Analytics workloads on Azure (25–30%)
For each section, write:
- The key terms you must define
- The services you must recognize
- The scenarios you must choose from
Step 2: Learn with structured study resources (Week 1–2)
Use official Microsoft Learn learning modules and documentation that align to Azure Data Fundamentals concepts. Follow a pattern:
- Learn the concept (data shape, workload type, service category)
- Write a 3–5 line explanation in your own words
- Create 5–10 flashcards for the most frequently confused terms
Step 3: Practice with exam-style questions (Week 2–3)
Answer question sets in timed and untimed modes:
- Untimed: focus on understanding why each answer is right or wrong
- Timed: focus on speed and accuracy
Focus on:
- SQL vs relational service concepts
- Blob/File/Table vs Cosmos DB usage patterns
- Analytics workloads on Azure including Databricks, Fabric, real-time analytics, and Power BI
Step 4: Take mock exams and diagnose gaps (Final week)
Use mock exams to reveal weak syllabus areas quickly.
Tip: Passing a mock exam can unlock up to 70% off voucher offers on ITExamDeals—use that incentive once you’re confident in your progress.
Recommended DP-900 study resources (vendor-independent + syllabus-first)
DP-900 candidates benefit from a mix of structured learning and practice.
High-impact resource categories
- Microsoft Learn: for official explanations of Azure data fundamentals
- Exam-style practice questions: for fast reinforcement and scenario reasoning
- Flashcards and glossary: for terms like structured/semi-structured/unstructured and transactional/analytical
How to use practice questions effectively
When you review a missed question:
- Identify the exact syllabus area (Core data vs Relational vs Non-relational vs Analytics)
- Record the concept you missed in one sentence
- Find a short explanation and re-answer similar questions
Common DP-900 mistakes (and how to avoid them)
These mistakes cost points because DP-900 is conceptual.
Mistake 1: Memorizing definitions without mapping to scenarios
DP-900 expects you to choose the best fit for a data/workload scenario.
Fix: For every term, write one scenario where it applies.
Mistake 2: Confusing storage services and database services
Azure Storage services (Blob/File/Table) and Azure Cosmos DB are related, but they solve different data needs.
Fix: Learn “data shape + workload + access pattern” as the decision rule.
Mistake 3: Treating analytics as only Power BI
Power BI is crucial, but DP-900’s analytics section also covers processing platforms and large-scale analytics concepts.
Fix: Study the end-to-end idea: storage → processing → analytics → visualization.
FAQs
What is DP-900?
DP-900 (Microsoft Azure Data Fundamentals) is a Microsoft certification exam that tests your understanding of data concepts and how Azure supports relational data, non-relational data, and analytics workloads.
What is the DP-900 syllabus?
The DP-900 syllabus is organized into four 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%).
How much does DP-900 cost?
DP-900 cost varies by region. For Greece, the accurate price is the fee shown in the official exam booking flow for DP-900 when you select Greece and proceed to checkout.
Where can I buy a DP-900 voucher?
You can buy DP-900 vouchers through the official Microsoft exam booking flow, authorized resellers, and training academies. For a convenient voucher listing route, you can also use the DP-900 exam voucher page: SecByte Academy
What is the cheapest way to take DP-900?
The cheapest option is the one with the lowest real voucher total for Greece, including any fees, while still ensuring the voucher redeems correctly for DP-900. A second practical “cost reducer” is passing a mock exam, which can unlock up to 70% off voucher offers on ITExamDeals.
Is DP-900 difficult?
DP-900 is generally considered foundation-level because it emphasizes concepts and service understanding rather than complex administration or implementation tasks. Difficulty mainly comes from breadth—covering relational, non-relational, and analytics workloads.
How do I prepare for DP-900?
Prepare by following the syllabus weightings, learning key concepts for structured/semi-structured/unstructured data, SQL and relational concepts, Azure storage and Cosmos DB, and analytics platforms like Databricks, Microsoft Fabric, real-time analytics, and Power BI. Then practice with exam-style questions and finish with mock exams to diagnose weak areas.
Next steps
- Use the DP-900 syllabus weightings to build a focused 2–3 week study plan.
- Create a one-page concept map: data shape → storage option → workload type → Azure service.
- Take exam-style practice questions daily and review mistakes by syllabus area.
- Schedule your DP-900 exam after you consistently score well in mock exams.
- Compare voucher totals for Greece (currency, fees, and redemption instructions) before purchasing.