Buying a Microsoft DP-900 exam voucher in Lithuania should be a straightforward, low-stress process: pick a reputable voucher seller, confirm the exam code and country currency, then book with Pearson VUE (or the official booking flow). This guide covers the DP-900 syllabus by skills weight, preparation steps, and a practical voucher buying checklist—plus a direct link to buy a DP-900 exam voucher securely.
Key takeaways
- DP-900 (Azure Data Fundamentals) focuses on data concepts, Azure relational and non-relational data, and analytics workloads with structured/semi-structured/unstructured data.
- Use the DP-900 syllabus by percentage to plan study time: Core data concepts (25–30%), relational (20–25%), non-relational (15–20%), analytics workloads (25–30%).
- Voucher prices can vary by currency and local availability; verify the exact amount during checkout in Lithuania.
- The most effective preparation uses vendor-independent exam-style practice questions and targeted review of Microsoft Learn concepts.
- Passing a mock exam unlocks up to 70% off voucher offers—use practice tests to time your purchase and booking.
- When comparing “where to buy,” prioritize clear exam identity (DP-900), booking support, and delivery speed over “too good to be true” claims.
What is DP-900 and what does the exam test?
If you’re aiming for Microsoft Azure fundamentals for data, DP-900 (Microsoft Azure Data Fundamentals) validates that you understand key data concepts and can explain how common Azure data services support different workload patterns—especially relational vs non-relational data and analytics vs transactional needs.
DP-900 at a glance (what you should know)
DP-900 is designed for candidates who can describe, in plain language, how data is represented and stored, plus how analytics platforms transform and visualize data. The exam emphasizes:
- Structured, semi-structured, and unstructured data
- Transactional vs analytical workloads (operational systems vs reporting/BI and big-data analytics)
- Relational concepts and SQL basics
- Azure storage for files, blobs, tables, and data models
- Azure SQL services and how they differ in purpose
- NoSQL concepts and use cases
- Analytics solutions like Azure Databricks, Microsoft Fabric, real-time analytics, and Power BI
Tip: DP-900 is less about writing complex code and more about describing the right tool for the right data type and workload.
Who should take the DP-900 exam?
DP-900 is a strong fit if you’re building foundational Azure data knowledge and want an entry point before deeper certifications like data engineering or analytics-focused tracks.
Ideal candidates
DP-900 suits:
- Beginners to Azure data who need a structured overview of data services
- IT professionals transitioning into data, analytics, or cloud roles
- Candidates preparing for higher-level exams after learning basics (example pathways include Microsoft AZ-104 Azure Administrator and analytics/data roles)
- Professionals who want a vendor-independent vocabulary for data models and analytics workloads
Related tech context (optional)
If your background includes areas like security, networking, or cloud administration, DP-900 complements that foundation well. Examples you may recognize include CompTIA Security+ SY0-701, CompTIA Network+ N10-009, AWS Solutions Architect Associate SAA-C03, and Cisco CCNA 200-301—DP-900 then helps you connect those skills to how data systems behave in Azure.
What is the DP-900 syllabus (with percentage weightings)?
DP-900 uses a skills-measured breakdown that you can translate directly into a study plan. The current measured areas align to four major groups.
Complete syllabus weightings (current focus areas)
Below are the key areas you should build your study schedule around:
- Core data concepts (25–30%)
- Relational data on Azure (20–25%)
- Non-relational data on Azure (15–20%)
- Analytics workloads on Azure (25–30%)
Detailed topic breakdown by area
Use this as your “study map.” Each section includes the practical concepts you should be able to explain.
1) Core data concepts (25–30%)
You should understand:
- Data types and formats
- Structured data (rows/columns; schema-driven)
- Semi-structured data (example patterns: flexible fields within a schema-like structure)
- Unstructured data (text, media, documents)
- Data storage foundations
- How storage systems support different access patterns
- Why storage design matters for cost and performance
- Transactional vs analytical workloads
- Transactional (OLTP): frequent inserts/updates, low latency operations
- Analytical (OLAP): large scans, aggregations, reporting, BI
- Data movement and transformation basics
- How data is prepared for analytics (conceptually: ingest → transform → analyze → visualize)
2) Relational data on Azure (20–25%)
You should understand:
- Relational data concepts
- Tables, rows, columns
- Primary keys and relationships
- SQL query concepts
- SQL and relational workload patterns
- Querying and filtering data
- Joining related entities conceptually
- Azure SQL services
- When to use managed SQL database approaches
- How Azure SQL family services support relational needs in different deployment scenarios
3) Non-relational data on Azure (15–20%)
You should understand:
- NoSQL and non-relational concepts
- Flexibility for evolving data
- Modeling for scale and access patterns
- Azure Cosmos DB
- Document/container model conceptually
- Use cases that map to high-scale and multi-model needs
- Azure storage services
- Azure Blob Storage: unstructured or binary data at scale
- Azure File Storage: managed file shares for shared access
- Azure Table Storage: key/attribute style data storage patterns
- How storage choices depend on data type and access patterns
4) Analytics workloads on Azure (25–30%)
You should understand:
- Large-scale analytics
- Analytical patterns: batch vs streaming concepts
- Azure Databricks
- Lakehouse-style processing concepts
- Transforming data at scale
- Microsoft Fabric
- End-to-end analytics lifecycle concepts (ingest, transform, model, consume)
- Real-time analytics
- Streaming/near-real-time data processing concepts
- Power BI
- Visual analytics, dashboards, and reporting concepts
Note: DP-900 focuses on understanding “what the platform does” and “which service fits which scenario,” not deep implementation.
What should you study first for DP-900 exam preparation?
The fastest path to confidence is to study in layers: data concepts first, then map each concept to Azure services, and finally consolidate using exam-style practice questions.
A practical DP-900 study sequence (works well for most candidates)
- Learn data fundamentals (Core data concepts)
- Structured vs semi-structured vs unstructured
- Transactional vs analytical workloads
- Build relational mental models (Relational data on Azure)
- SQL and relational concepts
- Azure SQL service categories (at a concept level)
- Understand non-relational storage and NoSQL (Non-relational data)
- Blob/File/Table Storage patterns
- Cosmos DB: document modeling and when it’s a fit
- Master analytics workloads (Analytics workloads on Azure)
- Batch/streaming mindset
- Databricks, Fabric, real-time analytics concepts
- Power BI reporting patterns
- Run an exam-style practice loop
- Answer questions → review explanations → re-study weak topics
How to use exam-style practice questions effectively
DP-900 success comes from pattern recognition. When you practice:
- Read the scenario first (data type and workload)
- Identify which workload bucket it belongs to: transactional vs analytical
- Choose the likely service family: Azure SQL vs storage vs Cosmos DB vs analytics tools
- Confirm by matching service capabilities to the scenario
Tip: Keep a “service-to-scenario” notes list. For example: “Blob Storage fits unstructured/binary at scale,” and “Power BI fits business reporting/visualization.”
How does structured, semi-structured, and unstructured data show up in DP-900?
DP-900 expects you to translate data type into platform decisions. The goal is not memorizing definitions—it’s understanding access patterns and storage/processing fit.
Structured data (typical DP-900 examples)
Structured data usually aligns to relational thinking:
- Schema is clear
- Tables/rows/columns model is natural
- SQL queries map directly to business questions
Semi-structured data (what to look for)
Semi-structured data often:
- Has flexible fields
- May store key/value-like or nested structures
- Can still be analyzed after transformation (mapping fields into a usable shape)
Unstructured data (common Azure-fit scenarios)
Unstructured data typically:
- Doesn’t follow a fixed schema
- Is stored as files/objects (documents, images, logs)
- Is processed in analytics pipelines after ingestion and transformation
What do transactional vs analytical workloads mean for Azure services?
DP-900 draws a clear distinction between workloads that prioritize operational performance versus workloads that prioritize analysis and insights.
Transactional (OLTP) workloads
For transactional systems, you typically care about:
- Low-latency reads/writes
- Frequent updates/inserts
- Consistent query behavior for application operations
These patterns commonly connect to relational solutions (conceptually: Azure SQL-style relational stores).
Analytical (OLAP) workloads
For analytics workloads, you typically care about:
- Large-scale data processing
- Aggregations and reporting
- Batch analysis or streaming-style analytics
These patterns commonly connect to analytics tools and platforms like Databricks, Fabric experiences, real-time analytics approaches, and Power BI for consumption.
Warning: Don’t assume one tool fits everything. DP-900 questions reward candidates who connect workload type to service purpose.
How do Azure storage services map to data types in DP-900?
DP-900 includes Azure storage concepts that candidates often confuse. The exam expects clear mapping based on data type and access pattern.
Azure Blob Storage
Blob Storage is the foundation for:
- Unstructured/binary data
- Object storage at scale
- Scenarios where you store files as blobs and process them later
Azure File Storage
File Storage focuses on:
- Managed file shares
- Shared access patterns that resemble traditional file semantics
Azure Table Storage
Table Storage focuses on:
- Key/attribute style data patterns
- Scenarios where a table-like approach supports non-relational access
How does Cosmos DB differ from Azure storage and Azure SQL?
DP-900 aims for a “modeling mindset.” Cosmos DB is a non-relational database platform that supports multi-model concepts, while Azure storage services focus on data objects/files and Azure SQL focuses on relational tables and SQL queries.
Cosmos DB (DP-900 focus)
You should be able to explain that Cosmos DB:
- Supports non-relational data models (e.g., document-style)
- Fits scenarios needing scalable database behavior and flexible data modeling
Azure SQL (DP-900 focus)
Azure SQL services emphasize:
- Relational schema concepts
- SQL query patterns
- Transactional application data needs
Storage services (DP-900 focus)
Azure Blob/File/Table Storage emphasize:
- Object/file storage patterns
- Storing data for later processing
- Access patterns appropriate for data at rest and data pipelines
What analytics tools should DP-900 candidates understand?
Analytics workloads on Azure involve multiple layers: data processing engines, analytics platforms, and BI/report consumption.
Azure Databricks
Focus on understanding that Databricks is used for:
- Large-scale analytics processing
- Data transformation workflows
- Building analytical outputs from large datasets
Microsoft Fabric
Microsoft Fabric is positioned around:
- An integrated analytics lifecycle (conceptually: connect, transform, model, and consume)
- Enabling analytics experiences across the end-to-end journey
Real-time analytics
Real-time analytics focuses on:
- Handling events as they arrive (streaming/near-real-time concepts)
- Producing fast insights from continuous data
Power BI
Power BI is primarily about:
- Reporting and data visualization
- Transforming analytical data into dashboards and business insights
What is the DP-900 exam format, and how should you prepare for it?
DP-900 is an entry-level exam where your preparation should combine conceptual understanding with exam-style question practice. Your goal is to answer accurately under exam time pressure by mapping scenarios to the right data/service category.
Exam format (how to approach)
- Review the measured skills breakdown
- Study each workload category with service-to-scenario mappings
- Practice with questions that resemble exam wording
- Use timed practice sessions to build confidence
Tip: If you consistently miss questions on a topic cluster (for example, “non-relational data on Azure”), return to that category and re-run a short practice set.
Preparation plan that fits most schedules
- 1–2 weeks (tight schedule): focus on syllabus categories first, then heavy practice questions
- 3–4 weeks (balanced): cover concepts gradually; add a full practice mock test near the end
- 5+ weeks (confidence builder): iterate practice sets per category and track weak areas
What is the DP-900 exam cost in Lithuania (and how do you verify it)?
DP-900 exam cost is controlled by the official exam delivery ecosystem and can vary by country and currency. Because currency conversion and local listing can change, you should verify the exact current total during booking.
How to verify the current DP-900 exam price/cost (Lithuania)
- Go to Microsoft’s official exam page for DP-900.
- Confirm the exam provider/booking flow shown for your region.
- Check the displayed price in EUR (or the local currency offered) and note any taxes included.
Why prices vary
Prices can vary due to:
- Local currency and pricing rules
- Promotional availability for vouchers (only when explicitly listed)
- Regional listing differences
Warning: Avoid relying on unofficial “fixed prices.” Always confirm the exact exam total in the official booking flow for Lithuania.
Where to buy a DP-900 exam voucher in Lithuania?
You can buy exam vouchers through several realistic channels. The best option depends on what matters most to you: price transparency, delivery speed, and support.
Voucher purchase routes (Lithuania-friendly comparison)
| Purchase route | Common pros | Common trade-offs | Best for |
|---|---|---|---|
| Microsoft/official exam provider store | Most direct booking alignment | Sometimes fewer bundled extras | Candidates who want minimal steps |
| Authorized reseller / voucher marketplace | Potentially different checkout experiences | Must confirm delivery method and exact exam identity | Candidates comparing purchasing options |
| Training academies / learning partners (voucher bundles) | Study bundles sometimes included | Pricing may bundle training | Candidates who want one package |
SecByte (where to buy DP-900 voucher)
If you want a streamlined way to obtain a DP-900 exam voucher, SecByte lists a dedicated voucher page for Microsoft DP-900. Use the provided voucher link during checkout:
- DP-900 exam voucher: DP-900 exam voucher
Tip: During checkout, verify the exam code (DP-900), the currency for Lithuania, and the voucher delivery method before payment.
DP-900 exam voucher price: what to look for before you buy
When candidates search for DP-900 voucher price or cheap DP-900 exam voucher, the key is to compare apples to apples.
Checklist for comparing “price” fairly
- Exact exam code: DP-900
- Exam name: Microsoft Azure Data Fundamentals
- Currency and taxes: confirm what’s included in the final total
- Voucher delivery type: emailed code, account-linked voucher, or other delivery method
- Booking support: how you redeem the voucher with the official exam provider
- Validity / expiration: confirm any time limits listed at purchase
Avoid common voucher buying mistakes
- Buying a voucher that lists the wrong exam code
- Assuming “exam voucher” equals “official retake/extension” (it doesn’t)
- Skipping the voucher terms for redemption/expiration
Comparison table: DP-900 certification context and booking essentials
This table helps you compare DP-900 with the key details you’ll see during booking and planning.
| Exam code | Exam name | Price (Lithuania) | Status | Syllabus areas | Difficulty | Certification |
|---|---|---|---|---|---|---|
| DP-900 | Microsoft Azure Data Fundamentals | Varies by local listing/currency at checkout | Typically available for booking | Core data concepts (25–30%), Relational (20–25%), Non-relational (15–20%), Analytics (25–30%) | Entry-level fundamentals | Azure data fundamentals track |
How to use this table
- Treat “Price” as a value you must confirm at checkout for Lithuania.
- Use the “Syllabus areas” weights to allocate study time.
What makes DP-900 easier (and what makes it tricky)?
DP-900 is often described as entry-level, but you still need disciplined preparation because questions may combine multiple concepts into one scenario.
Why candidates find DP-900 manageable
- The exam is focused on data fundamentals, not advanced implementation
- Many questions reward clear conceptual differences (SQL vs storage vs NoSQL vs analytics)
Where candidates get stuck
- Confusing storage types and their best-fit use cases
- Mixing up transactional vs analytical patterns
- Underestimating the importance of structured vs semi-structured vs unstructured distinctions
Tip: Build flashcards that map “data type → storage/processing concept → likely workload.”
Recommended study resources for DP-900 (high value, low fluff)
To prepare efficiently, use resources that clearly explain service purpose and data modeling at a concept level.
Microsoft Learn and official learning paths
- Use Microsoft’s DP-900 learning guidance to anchor your understanding.
- Focus on explanations that connect services to workloads and data types.
Exam-style practice questions (essential)
Practice tests help you:
- Identify weak syllabus clusters early
- Improve your speed and accuracy
- Learn how DP-900 describes scenarios
Use free mock exams to time your purchase
Free ITExamDeals mock exams provide realistic exam-style practice. Then, once you pass a mock exam, you unlock up to 70% off voucher offers, which can help you align voucher buying with your readiness.
Tip: Don’t buy a voucher on day one. Practice first, identify gaps, and then purchase when your mock score indicates readiness.
A day-by-day DP-900 plan (example you can adapt)
Here’s a sample plan you can adjust based on your schedule.
Days 1–2: Core data concepts
- Structured vs semi-structured vs unstructured
- Transactional vs analytical workloads
- Data storage foundations and access patterns
Days 3–5: Relational data on Azure
- Relational model basics
- SQL query concepts at a fundamentals level
- Azure SQL services (purpose and workload fit)
Days 6–7: Non-relational data on Azure
- Cosmos DB modeling concepts
- Blob/File/Table Storage use cases
- Non-relational design mindset
Days 8–10: Analytics workloads on Azure
- Large-scale analytics concept patterns
- Azure Databricks fundamentals
- Microsoft Fabric analytics lifecycle concepts
- Real-time analytics and Power BI consumption
Days 11–14: Practice and consolidation
- Exam-style practice questions by topic
- Timed practice sections
- Review wrong answers and re-study weak areas
- Run a final mock test
FAQs
What is DP-900?
DP-900 is the Microsoft certification exam Microsoft Azure Data Fundamentals. It tests foundational knowledge of data concepts, relational and non-relational data on Azure, and analytics workloads.
What is the DP-900 syllabus?
The DP-900 syllabus focuses on four measured 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%). You can plan your study by those weightings.
How much does DP-900 cost?
The DP-900 exam cost depends on the official exam provider’s local listing for your country and currency. For Lithuania, verify the exact EUR price during booking on the official DP-900 exam listing.
Where can I buy a DP-900 voucher?
You can buy exam vouchers via the official exam provider store, authorized resellers, or training academies that offer voucher bundles. For a dedicated DP-900 voucher listing, you can use the SecByte voucher page during checkout.
What is the cheapest way to take DP-900?
The cheapest route is often the one that matches your readiness and avoids buying too early. Use free mock exams first, then purchase a voucher when you’re ready—passing a mock exam can unlock up to 70% off voucher offers (when applicable in the voucher promotion flow).
Is DP-900 difficult?
DP-900 is designed as an entry-level fundamentals exam. It can still feel challenging if you try to memorize services without linking them to scenarios. Success comes from understanding workload types and mapping data formats to the right Azure service category.
How do I prepare for DP-900?
Prepare by following the syllabus weightings, building service-to-scenario notes (structured vs semi-structured vs unstructured; SQL vs storage; transactional vs analytical), and running exam-style practice questions repeatedly. Finish with a full mock exam to confirm readiness.
Next steps
- Confirm the latest DP-900 syllabus weightings and build a study plan around the four measured areas.
- Take free mock exams and log your weak topics so you can target revision efficiently.
- Verify the DP-900 exam price in EUR for Lithuania in the official booking flow.
- Purchase a DP-900 exam voucher only when your practice results show consistent readiness.