Buying a Microsoft DP-900 exam voucher in Mongolia is the fastest way to lock in your exam plan for Azure data fundamentals. This guide breaks down the DP-900 syllabus by percentage (core data, relational, non-relational, and analytics), explains the exam format, and shows realistic ways to purchase vouchers—so you can choose the best route for price, support, and prep resources.
Key takeaways
- DP-900 (Microsoft Azure Data Fundamentals) validates foundational knowledge of data concepts on Azure, including relational, non-relational, and analytics workloads.
- The current skills breakdown is designed around four areas: Core data concepts (25–30%), Relational data (20–25%), Non-relational data (15–20%), and Analytics workloads (25–30%).
- Expect scenario-based exam-style practice questions that test understanding of structured/semi-structured/unstructured data, storage, and workload types.
- Voucher buying in Mongolia usually comes from the Microsoft voucher store, authorized resellers, or training/testing partners; each route trades off price certainty, support, and documentation.
- A practical prep path is Microsoft Learn + targeted exam-style practice questions; passing a mock exam can unlock up to 70% off voucher offers on ITExamDeals.
What is the DP-900 exam, and what does it test?
The Microsoft DP-900 exam—Microsoft Azure Data Fundamentals—tests whether you understand how data works in Azure at a fundamentals level. It focuses on the language of data (structured to unstructured), data storage building blocks, and common Azure analytics patterns—rather than deep administration.
DP-900 exam focus in plain terms
DP-900 measures your ability to:
- Recognize data types and classify structured, semi-structured, and unstructured data.
- Understand transactional vs analytical workloads and why the workload type affects storage and processing.
- Describe how Azure services represent and manage relational data (SQL-based) and non-relational data (NoSQL and document/partition-based approaches).
- Explain core analytics workloads such as big data, near real-time/real-time processing concepts, and modern BI patterns.
DP-900 exam code and positioning
- Exam code: DP-900
- Certification theme: Azure Data Fundamentals
- Best for: Candidates who want Azure data literacy before moving into role-based paths such as AZ-104 Azure Administrator or data engineering tracks.
Tip: DP-900 is ideal if you want to build “data vocabulary” before specializing. If you can explain what a workload is and why Azure uses specific storage/analytics services, you’re already thinking like a data professional.
Who should take DP-900 in Mongolia?
DP-900 is designed for candidates who need a strong Azure data foundation—especially if your current background is infrastructure, security, networking, or general cloud learning.
DP-900 is a strong fit if you are
- Preparing for a data-focused track and need baseline Azure data concepts.
- Coming from fundamentals certifications in adjacent areas, including CompTIA Security+ SY0-701, CompTIA Network+ N10-009, or networking credentials like Cisco CCNA 200-301.
- Transitioning from application or infrastructure roles into cloud and analytics.
- Wanting vendor-neutral confidence in Azure data terminology (structured vs unstructured, transactional vs analytical).
DP-900 is also helpful if you are aiming for other Microsoft certs
You can use DP-900 as a stepping stone before more specialized exams. For context, it pairs well with learning paths toward credentials like Microsoft AZ-104 Azure Administrator and data-oriented roles that build on these fundamentals.
DP-900 exam format: what to expect on test day?
DP-900 is a computer-based exam designed to evaluate foundational understanding through exam-style question scenarios.
Typical DP-900 experience
DP-900 questions commonly assess your ability to:
- Choose the best data classification (structured/semi-structured/unstructured).
- Match a workload type to an appropriate storage/processing approach.
- Identify which Azure data service categories align with relational vs non-relational needs.
- Understand analytics concepts such as batch vs large-scale processing and BI-style consumption.
How to prepare for the question style
Instead of memorizing definitions only, practice explaining concepts:
- Why transactional workloads optimize for consistency and fast updates.
- Why analytics workloads optimize for scanning, aggregations, and large-scale processing.
- How SQL-based relational modeling differs from NoSQL patterns like document or key-value approaches.
What is the DP-900 syllabus and weightings (current breakdown)?
DP-900’s current measured skills map to four major domains. Use this weight distribution to plan your study time.
Core data concepts (25–30%)
This domain focuses on foundational data vocabulary and how data is modeled and stored.
Key concepts include:
- Data types: structured, semi-structured, unstructured
- Data storage basics: how storage choices relate to retrieval and workload needs
- Transactional vs analytical workloads
- Data modeling at a high level
Relational data on Azure (20–25%)
This domain validates knowledge of SQL and relational concepts, plus Azure relational services.
You should be able to:
- Describe relational concepts (tables, relationships, keys)
- Understand SQL basics and how relational queries support transactional scenarios
- Explain Azure SQL services at a conceptual level, including where they fit in application and reporting needs
Non-relational data on Azure (15–20%)
This domain targets NoSQL and non-relational workload understanding.
You should be able to:
- Explain non-relational data models (for example, document, key-value, wide-column/graph concepts at a fundamentals level)
- Compare the purpose of non-relational options for scale, schema flexibility, and access patterns
- Understand key Azure NoSQL options such as Azure Cosmos DB
Analytics workloads on Azure (25–30%)
This domain is about understanding modern analytics patterns and Azure data platforms.
You should be able to:
- Explain large-scale analytics and how it differs from operational workloads
- Understand Azure Databricks as a large-scale analytics and data engineering platform
- Understand Microsoft Fabric for analytics and BI workflows
- Recognize real-time analytics concepts and streaming patterns
- Explain BI consumption with Power BI
Warning: If you memorize only definitions, you can miss scenario questions. DP-900 rewards candidates who can apply concepts to “which service fits this workload?” situations.
Detailed topic breakdown: the concepts you must know for DP-900
Below is a practical breakdown of the study content aligned to the syllabus domains. Use it as a checklist while studying.
Structured vs semi-structured vs unstructured data (Core data concepts)
- Structured data: organized into fixed schemas (examples: SQL tables, rows/columns)
- Semi-structured data: flexible schema with tags or markers (examples: JSON, XML)
- Unstructured data: no predefined schema (examples: text documents, images)
Study goal: Identify how each type impacts ingestion, storage, and querying.
Data storage basics on Azure (Core data concepts + Analytics)
You should understand how storage categories support different needs:
- Object storage patterns for large files and media
- File storage patterns for shared file access
- Table storage patterns for key/attribute-like access
Azure storage services you should recognize conceptually:
- Azure Blob Storage
- Azure File Storage
- Azure Table Storage
Transactional vs analytical workloads (Core data concepts + Analytics)
Practice distinguishing:
- Transactional workloads: frequent small read/write operations; often requires low latency
- Analytical workloads: heavy reads, aggregations, and batch or large-scale processing
Study goal: Connect workload type to why you choose certain data platforms.
SQL and relational concepts (Relational data on Azure)
Expect to understand:
- How relational data is organized into tables
- Relationships between entities (keys and constraints at a fundamentals level)
- How SQL supports querying and retrieval patterns
Azure SQL services (Relational data on Azure)
You should know what Azure SQL options represent in the Azure ecosystem and what kinds of scenarios they align with—especially operational data and analytics/reporting connections.
Non-relational data patterns and Azure Cosmos DB (Non-relational data on Azure)
Core understanding you should build:
- Non-relational databases typically optimize for scale-out and flexible access patterns.
- Azure Cosmos DB is a foundational Azure service for working with non-relational data patterns.
Study goal: Recognize the “why” behind Cosmos DB and non-relational storage choices.
Large-scale analytics, Azure Databricks, and Microsoft Fabric (Analytics workloads)
You should understand:
- Large-scale analytics concepts (processing large volumes of data)
- Azure Databricks for analytics and data engineering workflows
- Microsoft Fabric for modern analytics experiences and end-to-end BI-style pipelines
Real-time analytics and Power BI (Analytics workloads)
DP-900 includes fundamentals of:
- Real-time analytics concepts (near/real-time processing patterns)
- Power BI for consuming insights in dashboards and reports
Microsoft DP-900 exam voucher in Mongolia: best buying routes
Buying an exam voucher is usually the “administrative step” that impacts scheduling and budgeting. The best choice depends on what you value most: price certainty, support, and whether you need help with scheduling or documentation.
Voucher purchase routes: trade-offs at a glance
| Purchase route | Typical benefits | Typical trade-offs | Best for |
|---|---|---|---|
| Microsoft store / official checkout | Clear documentation, direct link to scheduling workflow | Price can vary by region and tax shown at checkout | Candidates who want the most straightforward path |
| Authorized resellers / training/testing partners | Convenience and potentially local support | You must verify the voucher terms for exam code, region, and delivery | Candidates who prefer local help |
| Education/training academies offering vouchers | Bundled learning guidance | Pricing may bundle training; voucher alone may cost more | Candidates who want a structured learning plan |
Where to buy DP-900 exam vouchers (neutral guidance)
If your main goal is to purchase a DP-900 exam voucher with a clear, documented workflow, choose a route that:
- clearly states the exam code (DP-900)
- clearly supports delivery and scheduling in your region
- provides reliable purchase documentation for your records
For many candidates searching “where to buy DP-900 voucher” or “DP-900 voucher price,” SecByte is a practical option to compare during your buying process. You can review the DP-900 exam voucher listing and purchase details there once you confirm the voucher type matches DP-900.
Tip: When comparing voucher offers, verify three things before paying: exam code, currency/region, and the delivery method. These details matter more than the headline price.
DP-900 exam cost and price: what you must know before you buy
The DP-900 exam cost depends on the country/region, tax, and currency displayed at checkout. Microsoft updates pricing periodically, so any “single number” you see online may not match the current Mongolia price shown during purchase.
How to get the current DP-900 exam price (accurate method)
Use the pricing shown on the official purchase flow at the time you select DP-900. This ensures the number reflects:
- your selected country/market
- current Microsoft pricing rules
- taxes and any applicable fees
Comparison table: DP-900 voucher basics (exam details)
Because voucher pricing varies by region and can change, the table below focuses on what can be confirmed reliably, while the price value is obtained during checkout.
| Exam code | Exam name | Price (current) | Status | Syllabus areas (weighting) | Difficulty | Certification |
|---|---|---|---|---|---|---|
| DP-900 | Microsoft Azure Data Fundamentals | Displayed at checkout for your region/currency | Typically purchasable via the standard exam marketplace (varies by region) | Core data concepts (25–30%), Relational data on Azure (20–25%), Non-relational data on Azure (15–20%), Analytics workloads on Azure (25–30%) | Fundamentals; scenario-based | Azure Data Fundamentals |
How to prepare for DP-900 (a study plan that matches the syllabus)
A strong DP-900 preparation plan aligns with the weighting. Here’s a high-impact approach for candidates who want to pass with confidence.
Step 1: Build the “data concepts” foundation (Core 25–30%)
Start with:
- structured vs semi-structured vs unstructured data
- transactional vs analytical workloads
- how storage categories support different access patterns
Practical exercise:
- Write a one-paragraph explanation for each data type.
- For each workload (transactional/analytical), list “what you optimize for” (latency, writes vs reads, aggregations, scaling).
Step 2: Master relational concepts and Azure SQL context (Relational 20–25%)
Next focus:
- relational data modeling: tables, relationships, keys
- SQL basics at a conceptual level
- Azure SQL service categories and what scenarios they support
Practice exercise:
- Take an exam-style practice question and explain why the correct choice fits a workload scenario.
Step 3: Learn non-relational modeling and Cosmos DB concepts (Non-relational 15–20%)
Then study:
- why non-relational systems exist
- what “schema flexibility” means at a fundamentals level
- Azure Cosmos DB’s role in non-relational data patterns
Practice exercise:
- Compare two scenarios: one requiring flexible document-like storage vs one requiring fixed relational modeling.
Step 4: Cover analytics workloads end-to-end (Analytics 25–30%)
Finish with:
- large-scale analytics concepts
- Azure Databricks fundamentals
- Microsoft Fabric overview for analytics/BI pipelines
- real-time analytics concepts
- Power BI consumption layer
Practice exercise:
- Map each analytics platform (Databricks/Fabric/Power BI) to the kind of work it supports.
Tip: Use mock exams early enough to fix weaknesses, not just to measure you. After each mock, create a short “mistake log” of the concepts you missed and review them immediately.
Use Microsoft Learn + exam-style practice questions
For DP-900, Microsoft Learn provides the conceptual backbone. Pair it with vendor-independent exam-style practice questions to validate your understanding and your ability to select correct answers in scenarios.
Use ITExamDeals mock exams strategically
A straightforward method:
- Take a free mock exam.
- Identify which syllabus domain underperforms.
- Re-study only those domains.
- Take another mock exam.
On ITExamDeals, passing a mock exam unlocks up to 70% off voucher offers, which helps you keep momentum and control costs while you finalize your exam booking.
DP-900 voucher price vs exam readiness: choose value, not just the cheapest number
Many candidates searching “DP-900 voucher price” focus only on the lowest figure. In practice, the best value combines:
- the correct voucher match for DP-900
- a reliable purchase workflow
- enough time to prepare so you don’t rush
A realistic “value checklist” before you pay
Use this checklist every time:
- Does the voucher specify DP-900?
- Does the purchase flow show your region/currency clearly?
- Can you schedule the exam in your timeline?
- Do you have time for syllabus-weighted study?
Warning: The cheapest voucher is not the best value if it pushes your exam date before you are ready. DP-900 is fundamentals, but scenario questions still require clean understanding.
FAQs
What is DP-900?
DP-900 is the Microsoft exam Microsoft Azure Data Fundamentals. It tests foundational knowledge of data concepts, relational vs non-relational data, Azure storage concepts, and analytics workloads using Azure services.
What is the DP-900 syllabus?
The DP-900 syllabus is organized into four main 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%). The measured skills include structured/semi-structured/unstructured data, SQL/relational concepts, Azure SQL and storage services, Cosmos DB, Databricks, Fabric, real-time analytics concepts, and Power BI fundamentals.
How much does DP-900 cost?
The DP-900 exam cost varies by country/region and is displayed in the checkout flow in your local currency, including applicable taxes/fees. Always use the current price shown during the purchase process for Mongolia to confirm the final amount.
Where can I buy a DP-900 voucher?
You can buy a DP-900 voucher through Microsoft’s official exam purchasing flow or via authorized reseller/training routes. For candidates who want a documented voucher listing to compare details, SecByte provides a dedicated DP-900 exam voucher page.
What is the cheapest way to take DP-900?
The cheapest approach is usually the one that combines a correct DP-900 voucher purchase with strong readiness—so you avoid re-booking. A cost-efficient path often includes free exam-style mocks first; on ITExamDeals, passing a mock exam can unlock up to 70% off voucher offers.
Is DP-900 difficult?
DP-900 is a fundamentals exam, so the difficulty comes mainly from scenario-based understanding rather than advanced engineering tasks. If you study the syllabus by weight and practice exam-style questions, you can build the confidence needed for a strong result.
How do I prepare for DP-900?
Prepare by following the weight distribution: learn core data concepts first, then relational (SQL and Azure SQL context), then non-relational (Cosmos DB), and finish with analytics workloads (Databricks, Fabric, real-time concepts, Power BI). Use Microsoft Learn concepts plus exam-style practice questions and take mock exams to find weak areas early.
Next steps
- Select a study calendar aligned to DP-900’s 25–30 / 20–25 / 15–20 / 25–30 domain weightings.
- Build a one-page “data vocabulary” summary: structured/semi-structured/unstructured, transactional vs analytical.
- Practice with exam-style questions until you can consistently map workloads to Azure data services.
- Choose your DP-900 voucher purchase route by verifying the exam code, region/currency, and delivery details.
- Book your exam date only after taking at least one mock exam and correcting your mistake log.