Buying a Microsoft DP-900 exam voucher in Armenia is straightforward when you compare official purchase routes, confirm exam price by region, and choose a voucher provider that delivers reliable exam access. This guide covers the DP-900 syllabus, what each skills area tests (data concepts to analytics with Azure Databricks, Fabric, and Power BI), and a practical study plan.
Key takeaways
- DP-900 (Microsoft Azure Data Fundamentals) measures real-world Azure data concepts across core data, relational/non-relational storage, and analytics workloads.
- Expect syllabus weighting across Core data concepts (25–30%), Relational data on Azure (20–25%), Non-relational data (15–20%), and Analytics workloads on Azure (25–30%).
- DP-900 voucher cost varies by country/region; confirm the latest regional exam price on Microsoft’s pricing page for accurate DP-900 exam cost.
- Use exam-style practice questions and free mock exams to drive targeted preparation.
- A strong preparation workflow plus practice tests improves readiness without needing any practice question banks.
What is Microsoft DP-900 (Azure Data Fundamentals)?
DP-900 is Microsoft’s entry-level certification exam designed to validate foundational knowledge of data fundamentals and how data is implemented and analyzed on Microsoft Azure. It focuses on understanding data types, storage models, and common analytics patterns—not on writing production code.
What DP-900 tests (in plain language)
DP-900 asks candidates to recognize and explain:
- Data concepts (structured, semi-structured, unstructured)
- Relational data on Azure (SQL-based thinking and services)
- Non-relational data on Azure (NoSQL/document/key-value/graph-style concepts, plus storage account models)
- Analytics workloads on Azure (batch and streaming analytics, lakehouse/ETL patterns, BI dashboards)
Tip: Treat DP-900 as a “data systems vocabulary” exam. When you can map a scenario to the correct workload and storage approach, you’re building the exact mental model measured by DP-900.
Who should take the DP-900 exam?
DP-900 is ideal when you want a vendor-aligned, foundational credential for Azure data—especially if your role touches data but you’re not yet targeting an advanced administrator or engineer track.
Great fits for DP-900 candidates
DP-900 works well for people such as:
- IT generalists transitioning into Azure
- Developers who need stronger data fundamentals
- Database beginners moving into cloud concepts
- Analysts learning how analytics platforms connect to data storage
- Students preparing for broader Microsoft Azure certifications
Related tech roles (for context)
DP-900 complements paths like:
- Microsoft AZ-104 Azure Administrator (broader admin foundation)
- CompTIA Security+ SY0-701, CompTIA Network+ N10-009 (core IT foundations)
- AWS Solutions Architect Associate SAA-C03 (cloud concepts across providers)
- Cisco CCNA 200-301 and other infrastructure credentials (helpful background)
DP-900 is also a strong entry point if you’re aiming later at data engineering or analytics learning tracks.
What is the DP-900 syllabus and weightings?
DP-900’s skills areas cover core data concepts, Azure relational and non-relational data, and analytics workloads. The weighting below matches the measured distribution you should plan around.
Full syllabus areas (with required weightings)
- Core data concepts — 25–30%
- Relational data on Azure — 20–25%
- Non-relational data on Azure — 15–20%
- Analytics workloads on Azure — 25–30%
Topic breakdown you should study (high signal)
Below is a practical mapping from what DP-900 expects to what you should learn.
1) Core data concepts (25–30%)
Focus on understanding:
- Structured data (fixed schema; rows/columns)
- Semi-structured data (self-describing formats; examples like JSON)
- Unstructured data (text/media; no fixed schema)
- Data storage concepts: how data is stored for access and processing
- Transactional workloads vs analytical workloads
- Key relational concepts and how they support analytics readiness
What to practice:
- Given a scenario, decide whether the workload is transactional (operational, low latency, frequent updates) or analytical (aggregation, scanning, batch/near-real-time insights)
- Identify the best-fit data shape: structured/semi-structured/unstructured
2) Relational data on Azure (20–25%)
Understand:
- SQL and relational concepts: tables, rows, columns, keys
- Relational database patterns for operational systems
- Azure SQL services (the Azure SQL family and SQL-based storage)
What to practice:
- Match a use case to relational storage and SQL querying fundamentals
- Recognize when relational fits vs when non-relational is better
3) Non-relational data on Azure (15–20%)
Understand non-relational data storage and Azure options including:
- Azure Blob storage (binary objects like documents/media)
- Azure File storage (file shares)
- Azure Table storage (NoSQL key/attribute-style tables)
- Azure Cosmos DB (globally distributed NoSQL database concepts)
- Non-relational concepts that explain schema flexibility and access patterns
What to practice:
- Decide how data format and access patterns influence selecting storage types
- Distinguish between “document-style” thinking and “key/value” style thinking
4) Analytics workloads on Azure (25–30%)
Understand:
- Large-scale analytics and how data moves from storage to compute
- Azure Databricks patterns (analytics and processing for large data)
- Microsoft Fabric components and how analytics pipelines connect
- Real-time analytics concepts (streaming vs batch)
- Power BI concepts for BI reporting and dashboards
What to practice:
- Choose an analytics approach for batch reporting vs near-real-time insights
- Explain how BI consumes curated data rather than raw transactional records
How does structured vs semi-structured vs unstructured data show up on Azure?
This is one of the highest-yield conceptual areas for DP-900 because it links directly to storage decisions and analytics readiness.
Structured data (tables and schemas)
Structured data typically maps to a fixed schema: columns and data types. Common examples are:
- Relational database records
- Tabular datasets
In Azure terms, structured data often connects naturally with SQL-based querying and relational workloads.
Semi-structured data (self-describing formats)
Semi-structured data carries metadata inside the data itself, so the schema can be flexible. A common mental model is JSON-like structures.
DP-900 expects you to understand:
- Semi-structured formats can still be queried, shaped, and prepared for analytics
- In analytics pipelines, semi-structured data often needs parsing/transform steps
Unstructured data (no fixed schema)
Unstructured data is often free text, images, logs, or media. It doesn’t follow a strict row/column model.
DP-900 expects you to connect unstructured data with:
- Object storage concepts
- Analytics patterns that extract value via processing rather than direct relational queries
Tip: On DP-900-style questions, you win by identifying data shape first, then selecting the storage/workload match.
How do transactional and analytical workloads differ?
DP-900 measures your ability to classify workload types based on performance goals and how systems use data.
Transactional workloads (operational systems)
Transactional workloads focus on:
- Frequent reads/writes
- Low-latency responses
- Updates that reflect real-time business operations
Typical outcomes:
- Orders, payments, inventory updates
- Application-driven queries and workflows
Analytical workloads (insight and reporting)
Analytical workloads focus on:
- Aggregations and trend analysis
- Scanning large volumes of data
- Batch or streaming processing for insights
Typical outcomes:
- Dashboards, KPIs, forecasting inputs
- BI models and analytics reports
Why DP-900 tests this distinction
Many Azure architectures separate operational and analytical paths. DP-900 wants you to understand why:
- Mixing OLTP-like queries with heavy analytics can degrade performance
- Analytics often benefits from different storage/compute approaches
What are the key relational data concepts in DP-900?
DP-900’s relational section emphasizes SQL and relational thinking. Even without deep database administration, you must understand how relational concepts map to storage and querying.
SQL fundamentals you should know
DP-900 commonly expects you to recognize ideas like:
- Tables as structured collections of rows
- Rows and columns
- Keys (how relationships are represented)
- Querying patterns for structured datasets
Azure relational data services (what to study)
Study the Azure SQL ecosystem concepts at the level DP-900 measures, including:
- SQL-based relational storage
- How relational data supports transactional workloads
Warning: DP-900 is not a “write SQL queries” exam in the engineering sense, but it is a “choose the correct concept and workload” exam. Read each scenario’s intent and map it to relational vs non-relational vs analytics.
What non-relational storage options does DP-900 cover on Azure?
DP-900’s non-relational data area connects data formats to Azure storage solutions and emphasizes how access patterns change the storage choice.
Azure Blob, File, and Table Storage (object, file share, key/attribute)
DP-900 includes these storage categories conceptually:
- Azure Blob Storage: object storage for large amounts of unstructured/binary data
- Azure File Storage: managed file shares
- Azure Table Storage: NoSQL table concepts using a key/attribute style model
When studying:
- Tie each storage type to its typical data shape and access model
- Understand the “why” behind selecting the right storage category
Azure Cosmos DB (NoSQL database concepts)
DP-900 also covers Azure Cosmos DB at the conceptual level:
- Distributed NoSQL database patterns
- How non-relational databases can support flexible schemas and scale
Tip: When a question describes flexible schema and application-driven access patterns, DP-900-style reasoning typically points toward a non-relational approach such as Cosmos DB.
What analytics workloads on Azure are included in DP-900?
DP-900’s analytics section connects storage to processing and reporting. You should be able to explain how large-scale analytics and BI concepts connect across Azure services.
Large-scale analytics (batch and big data processing)
Study:
- How large-scale analytics works with large datasets
- Why transformation and preparation matter
You should be able to identify whether the scenario is optimized for:
- Batch reporting
- Near-real-time insights
Azure Databricks (analytics processing)
Study the role of Azure Databricks in analytics workflows:
- Large-scale processing and data preparation
- Data engineering and analytics patterns (conceptual)
Microsoft Fabric (analytics platform concepts)
DP-900 includes Microsoft Fabric concepts at a foundational level:
- How analytics workloads can be organized into connected workflows
- How data and reporting components work together
Real-time analytics (streaming mindset)
Understand real-time analytics conceptually:
- Continuous ingestion
- Rapid insight generation
Even if DP-900 doesn’t require deep streaming engineering, it does require the ability to choose the right workload type.
Power BI (BI reporting and visualization)
Study Power BI concepts:
- Turning prepared data into dashboards and reports
- Why curated/analytical data supports accurate BI
What is the DP-900 exam format and how should you prepare?
DP-900 exam preparation works best when you combine structured learning (Microsoft Learn-aligned topics), scenario-focused review, and timed practice.
Exam format (how to expect it)
DP-900 is delivered through Microsoft’s online exam delivery platform. Candidates should prepare for:
- Computer-based testing
- Multiple-choice style questions
- Scenario-based questions that measure concept understanding
Because exam delivery details can change over time, use Microsoft’s exam page to confirm the latest format and requirements before booking your DP-900 exam voucher.
A practical DP-900 preparation plan (4-week example)
If you’re starting from fundamentals, this schedule balances coverage across the full syllabus.
Week 1: Core data concepts + relational basics
- Structured vs semi-structured vs unstructured data
- Transactional vs analytical workloads
- Relational data and SQL fundamentals
Week 2: Non-relational storage + Cosmos DB concepts
- Blob/File/Table storage concepts
- Cosmos DB concepts
- Workload-to-storage mapping exercises
Week 3: Analytics workloads (Databricks, Fabric, real-time, Power BI)
- Large-scale analytics patterns
- Real-time analytics mindset
- BI concepts and how data becomes reports
Week 4: Practice sprint
- Take exam-style practice questions daily
- Focus on weak areas by syllabus weighting
- Run at least one full timed mock exam
Tip: Use syllabus weightings to guide practice time. If your analytics knowledge is weak, allocate more time to the 25–30% analytics area until your results stabilize.
Recommended practice strategy (no dumps)
Prepare with:
- Exam-style practice questions from reputable prep materials
- Free mock exams to measure readiness
- Review notes using a “mistake log” approach
One helpful milestone: completing a mock exam can unlock up to 70% off voucher offers (when promotional offers apply). Use that planning window to schedule your voucher purchase at the best time.
How much does DP-900 cost in Armenia (DP-900 exam cost)?
DP-900 exam price depends on country/region and is shown by Microsoft during booking. The DP-900 voucher price you pay in Armenia corresponds to the current regional exam cost set by Microsoft.
What affects DP-900 exam cost
- Region (currency and local pricing rules)
- Tax and fees applied at purchase time
- Voucher provider pricing (service fees may differ from the exam price itself)
How to verify the current DP-900 exam price
Use Microsoft’s official exam pricing information during booking so you see the latest DP-900 exam cost for your exact region and schedule.
Where to buy DP-900 exam voucher in Armenia?
You can buy a DP-900 exam voucher through multiple realistic routes. Your priority should be: accuracy of the exam code, delivery reliability, and the support experience if you need help.
Voucher purchase routes (neutral comparison)
| Purchase route | What you get | Price transparency | Support for booking issues | Best for |
|---|---|---|---|---|
| Microsoft official store / booking | Direct Microsoft exam access purchase | Highest clarity for base exam cost | Microsoft support | Candidates who want direct purchase certainty |
| Authorized training providers / resellers | Voucher with exam access | May bundle support or learning | Provider support | Candidates who want guidance |
| Exam voucher marketplaces / aggregators | Voucher from a third party | Variable service fees | Depends on provider terms | Candidates prioritizing convenience |
DP-900 voucher from SecByte (where to buy)
If you want a dedicated voucher purchasing option for your Microsoft DP-900 exam, consider SecByte for a DP-900 exam voucher. The resource is available at: learn.secbyte.org/vouchers/microsoft-dp-900.
Tip: Before payment, confirm the voucher details clearly state exam code DP-900 and the delivery method to your region.
Comparison table: DP-900 exam overview vs adjacent certification path
Use this table to anchor your expectations while you plan your Azure data fundamentals journey.
| Exam code | Exam name | Price (regional) | Status | Syllabus areas (weighting) | Difficulty (prep focus) | Certification outcome |
|---|---|---|---|---|---|---|
| DP-900 | Microsoft Azure Data Fundamentals | Varies by region; view regional cost during booking | Active at time of planning | Core data (25–30%), Relational (20–25%), Non-relational (15–20%), Analytics (25–30%) | Foundational; scenario-based data concepts | Azure data fundamentals credential |
Warning: The table shows regional variability for cost. Your exact DP-900 exam cost is determined at booking time based on your location and currency.
What’s the best (cheapest) way to take DP-900?
“Cheapest” usually means you balance voucher price, timing, and preparation efficiency. DP-900 voucher cost changes by region, but you can still reduce wasted spend by choosing the right prep approach.
Smart ways to reduce total cost of certification
- Buy the voucher only after you’re practice-ready
- Take free mock exams first so your first attempt is more likely to be successful.
- Use syllabus weightings for efficient study time
- Spend less time on topics you already know and more time on the areas that match the percentages.
- Target exam-style practice questions
- The goal isn’t memorization—it’s scenario reasoning.
How mock exams can help with voucher timing
Passing a mock exam can unlock up to 70% off voucher offers when promotions apply. That means you can plan to schedule your purchase after a readiness check.
DP-900 exam preparation checklist (use this before you book)
Before buying your DP-900 voucher, confirm you can do the following.
Concepts you must be able to explain
- Structured vs semi-structured vs unstructured data
- Transactional vs analytical workloads
- Why relational data aligns with SQL-based systems
- When Azure Blob/File/Table storage is the best conceptual fit
- What Azure Cosmos DB represents in non-relational database scenarios
- How analytics workloads connect to storage and BI outputs
Study artifacts to build during preparation
- A one-page data glossary (structured/semi/unstructured; transactional/analytical)
- A workload-to-storage decision map (scenario → best fit)
- A mistake log with “why this answer” notes for incorrect choices
Tip: When you write a mistake log, include the syllabus area (Core data / Relational / Non-relational / Analytics). This turns your practice results into a targeted study plan.
Recommended study resources (vendor-aligned, practical, and free-ready)
A strong DP-900 study setup uses Microsoft-aligned materials plus exam-style practice.
Use Microsoft Learn for syllabus-aligned concepts
Microsoft Learn is designed for topic mastery and is a natural match for DP-900’s concept-first approach.
Add practice with exam-style questions
Complement learning with:
- Scenario-based exam-style practice questions
- Timed sets that resemble exam decision-making
Use free mock exams to validate readiness
Free mock exams help you:
- Identify weak areas quickly
- Train decision speed
- Reduce the chance of last-minute surprise
FAQs
What is DP-900?
DP-900, Microsoft Azure Data Fundamentals, is an entry-level certification exam that validates foundational knowledge of data concepts and how Azure supports relational, non-relational, and analytics workloads. It measures scenario-based understanding rather than advanced engineering skills.
What is the DP-900 syllabus?
The DP-900 syllabus is organized into four measurable 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 includes structured reasoning about data shapes, storage, and workload intent.
How much does DP-900 cost?
DP-900 exam cost varies by country/region. The exact price you pay in Armenia is determined at booking time based on the regional exam price shown by Microsoft. Always confirm the final regional cost on the official booking/price page before purchasing your voucher.
Where can I buy a DP-900 voucher?
You can buy DP-900 vouchers through Microsoft’s store/booking route and through reputable voucher purchase channels. For a dedicated voucher option, SecByte provides DP-900 voucher listings at SecByte Academy
What is the cheapest way to take DP-900?
The most cost-effective approach is usually to reduce re-takes by buying a voucher only when practice results show readiness. Use free mock exams and exam-style practice questions, and consider that passing a mock exam can unlock up to 70% off voucher offers when promotions apply.
Is DP-900 difficult?
DP-900 is designed for beginners and focuses on foundational Azure data concepts and scenario reasoning. Candidates typically find it manageable when they study the four syllabus areas in proportion to their weightings and use frequent practice questions to build confidence.
How do I prepare for DP-900?
Prepare by mastering the DP-900 data vocabulary (structured/semi/unstructured, transactional vs analytical), learning relational and non-relational Azure storage concepts (SQL/relational, Blob/File/Table, Cosmos DB), and practicing analytics workload reasoning (Databricks, Fabric, real-time analytics, Power BI). Then validate with free mock exams and exam-style practice questions.
Next steps
- Read the DP-900 syllabus areas and plan study time using the 25–30 / 20–25 / 15–20 / 25–30 weighting.
- Create a “scenario map” that links each data shape and workload type to the right Azure storage/analytics concept.
- Take free mock exams and track weak areas with a mistake log.
- After readiness is confirmed, purchase your DP-900 exam voucher in Armenia using a route that clearly states DP-900 exam access and matches your regional pricing needs.