Buying a Microsoft DP-900 exam voucher in Cambodia is straightforward when you choose a reliable purchase route, verify exam access through your Microsoft account, and plan study around the DP-900 skills measured. This guide explains DP-900 content (data concepts, Azure relational/non-relational, and analytics) plus a practical voucher buying checklist—so you can prepare efficiently and schedule confidently.
Key takeaways
- DP-900 (Microsoft Azure Data Fundamentals) validates foundational knowledge of data concepts and Azure data services.
- The DP-900 skills measured map to four 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%).
- A smart voucher purchase strategy compares price transparency, support, and how quickly you can redeem.
- Use Microsoft Learn for the official study guide structure, then practice with exam-style practice questions and free ITExamDeals mock exams.
- Completing a mock exam unlocks up to 70% off voucher offers (when available through the site experience).
What is the DP-900 exam, and what does it test?
Microsoft DP-900: Microsoft Azure Data Fundamentals is designed for candidates who want to demonstrate foundational, vendor-aligned knowledge of data concepts and core Azure data workloads. The exam emphasizes how data is represented, stored, and used across relational databases, NoSQL systems, data storage services, and analytics platforms.
DP-900 overview (quick snapshot)
- Exam focus: Fundamentals of data and Azure analytics/data platforms
- Skills level: Beginner to early-intermediate (no deep coding required)
- What you’ll be able to explain:
- Structured, semi-structured, and unstructured data
- Transactional vs analytical workloads
- Relational concepts and how SQL maps to them
- Core Azure data storage services (Blob/File/Table)
- When to use Azure Cosmos DB
- Large-scale analytics patterns and services
- Azure Databricks, Microsoft Fabric, real-time analytics, and Power BI
Tip (study approach): DP-900 questions typically test concept fit—for example, “which data type/workload is best?” or “which Azure service aligns to this requirement?” Build your answers by mapping requirements to service capabilities.
Who should take DP-900 (and who should not)?
DP-900 is ideal when your goal is foundational Azure data literacy—especially if you’re planning a path toward roles involving analytics, data engineering foundations, or database awareness.
Best-fit candidates
DP-900 fits candidates who:
- Want a starting credential for Azure data services
- Are transitioning from general IT into data/analytics
- Need baseline knowledge to support BI reporting, data governance, or application planning
- Learn best through clear conceptual models (data types, workload types, and service purpose)
Not the best fit (if your goal is advanced engineering)
If your goal is advanced performance tuning, deep SQL development, streaming architecture implementation, or production-grade data modeling, DP-900 may be too introductory. In that case, DP-900 is still a great foundation, but you should plan follow-on certifications and hands-on projects.
Warning: DP-900 is a fundamentals exam. You’ll earn more confidence by understanding service roles and typical workload patterns than by memorizing syntax.
What is the DP-900 syllabus (and how are the skills weighted)?
The DP-900 measured skills follow four domains with the following 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%)
Detailed syllabus breakdown (topic-level map)
Below is a topic breakdown aligned to what the latest Microsoft Learn DP-900 study guide emphasizes.
1) Core data concepts (25–30%)
You should master:
- Structured data
- Fits rows/columns (e.g., tables)
- Often supports schema enforcement
- Semi-structured data
- Has tags/keys (e.g., JSON-like formats)
- Schema may vary by record
- Unstructured data
- Text, images, audio, video, documents
- Typically lacks a fixed schema
- Data storage fundamentals
- Organizing data by access patterns
- Understanding storage for different workloads
- Transactional vs analytical workloads
- Transactional: frequent inserts/updates, low-latency reads/writes
- Analytical: large scans/aggregations, reporting, transformations
Tip: A large part of DP-900 is choosing the right workload type and the right data representation.
2) Relational data on Azure (20–25%)
You should master:
- SQL and relational concepts
- Tables, rows, columns
- Primary keys and relationships (conceptually)
- How relational modeling supports transactional workloads
- Azure SQL services
- Azure SQL Database (PaaS relational database)
- Azure SQL Managed Instance (PaaS instance for broader SQL compatibility)
- Azure SQL Server (where applicable conceptually for managed relational capabilities)
- How relational databases support:
- Transactional systems
- Structured queries
- Reporting scenarios
3) Non-relational data on Azure (15–20%)
You should master:
- NoSQL/non-relational concepts
- Flexible schema
- High scale patterns
- Azure Cosmos DB
- Multi-model database concepts (document, key-value, etc., at a conceptual level)
- Partitioning and throughput concepts (fundamentals)
- When globally distributed or high-throughput patterns matter (conceptually)
- Azure Storage services
- Azure Blob Storage
- For unstructured data like files, images, logs
- Azure File Storage
- File shares for SMB-style access
- Azure Table Storage
- Key/attribute storage (NoSQL table-like patterns)
- Azure Blob Storage
Warning: DP-900 often checks whether you can match the data type and access needs to the right storage family (Blob vs File vs Table vs Cosmos DB).
4) Analytics workloads on Azure (25–30%)
You should master:
- Large-scale analytics patterns
- Batch analytics vs streaming (conceptual)
- Transformations and aggregations
- Azure Databricks
- Lakehouse-style analytics with Spark (fundamentals)
- How it supports data processing for analytics workloads
- Microsoft Fabric
- End-to-end analytics concepts (analytics ecosystem overview)
- How Fabric relates to BI and data engineering foundations
- Real-time analytics
- Streaming concepts and real-time insights (fundamentals)
- The difference between streaming ingestion and batch processing
- Power BI
- BI dashboards, reporting, and data visualization concepts
- Using Power BI for analytical insights
What is DP-900 exam format like, and how should you prepare?
DP-900 assesses knowledge through Microsoft’s exam delivery system. Your preparation should focus on concept mastery and service-to-scenario mapping rather than memorizing low-level technical details.
Exam format essentials (how to approach questions)
A typical DP-900 strategy works like this:
- Read the scenario first (workload type, data type, and requirements).
- Identify the best-fit service category:
- Relational vs non-relational
- Storage type (Blob vs File vs Table)
- Analytics engine direction (Databricks/Fabric/Power BI)
- Select the answer that matches purpose and data/workload fit.
Tip: Convert each practice question into a one-sentence rule, such as: “Unstructured data + large scale file storage → Blob Storage.” Then reuse those rules across your study sessions.
Preparation plan that works (4 phases)
Phase 1: Set your DP-900 study baseline (Day 1)
- Review the DP-900 domains and make a checklist of what you already know.
- Take one short set of exam-style practice questions to identify weak areas.
Phase 2: Master the core concepts (Days 2–7)
- Learn structured/semi-structured/unstructured data.
- Learn transactional vs analytical workload differences.
- Practice explaining relational data and SQL at a conceptual level.
Phase 3: Map Azure data services (Days 8–14)
- Create a “service-to-scenario” sheet:
- Storage: Blob vs File vs Table
- Databases: Cosmos DB vs relational SQL services
- Analytics: Databricks, Fabric, real-time analytics, Power BI
Phase 4: Practice exam-style questions and tighten accuracy (Days 15–21)
- Do daily timed practice.
- Review every missed question by:
- labeling the domain (Core data, Relational, Non-relational, Analytics)
- writing a one-line correction rule
Recommended study resources
Use resources that reflect the DP-900 knowledge structure:
- Microsoft Learn DP-900 study guide materials (best for syllabus-aligned learning)
- Exam-style practice questions that mirror scenario-based thinking
- Free ITExamDeals mock exams to build stamina and identify gaps
Reminder: Passing a mock exam unlocks up to 70% off voucher offers (where that offer is available through the ITExamDeals flow). Plan your voucher timing after you’ve completed at least one solid mock.
How much does the DP-900 exam cost in 2026 (Cambodia)?
DP-900 exam pricing depends on region, currency, and the moment you purchase. Microsoft publishes the current DP-900 exam price on the official DP-900 exam page used for scheduling.
What you should do to get the exact DP-900 cost
- Open the official Microsoft certification exam listing for DP-900.
- Confirm the country/region pricing displayed.
- If you purchase a voucher through a reseller route, confirm that the voucher redeem value matches the DP-900 exam price in your scheduling region.
Warning: Avoid “too-good-to-be-true” claims that promise extreme discounts or fixed prices without showing redeemability in your region.
Where can I buy a DP-900 exam voucher in Cambodia?
A voucher can be purchased through multiple realistic routes. The best choice balances price transparency, delivery speed, and support if you hit redemption issues.
Purchase routes compared (practical trade-offs)
| Purchase route | Typical strengths | What to watch for | Best for |
|---|---|---|---|
| Microsoft exam store (direct) | Direct redemption flow tied to Microsoft scheduling | Sometimes fewer promotional options | Candidates who want maximum simplicity |
| Authorized resellers / voucher suppliers | Potential price flexibility and quick procurement | Ensure voucher is redeemable for DP-900 in your region | Candidates comparing DP-900 voucher price across suppliers |
| Training academies / service partners | Bundled support and guidance | Voucher pricing may vary depending on bundles | Candidates who prefer structured help |
| SecByte (voucher supplier) | Clear voucher procurement experience in the marketplace | Always validate redeemability and regional pricing shown at purchase | Candidates who want a dedicated voucher purchase workflow |
To explore a DP-900 exam voucher option from the voucher market, you can use: DP-900 exam voucher
Tip: Regardless of route, confirm three items before purchase: exam code (DP-900), redeemability region/currency, and how the voucher is delivered (digital code vs other method).
Voucher buying checklist (before you pay)
- Confirm the exam code: DP-900
- Confirm the exam name: Microsoft Azure Data Fundamentals
- Confirm redemption path: voucher should redeem into the same exam you schedule
- Check delivery method: digital code timing and receipt email
- Keep proof of purchase: receipt + voucher code details
DP-900 voucher buying guide: getting the best value without taking risks
The “best” voucher isn’t the cheapest on paper—it’s the one that you can redeem smoothly and schedule quickly.
Step-by-step: choose your best buying option
- Estimate total cost
- Include voucher cost plus any regional taxes/fees shown during redemption.
- Compare what’s included
- Some voucher suppliers bundle additional resources; others only provide access codes.
- Plan your schedule
- Buy when your study timeline is realistic. For example, if you’re two weeks out, prioritize confidence-building mocks.
- Validate support quality
- Choose a route with a clear support process if redemption fails.
Warning: Avoid “a much stronger chance of passing” language and anything resembling practice question banks. DP-900 success depends on understanding data concepts and Azure service fit.
A comparison table you can use today (DP-900 fundamentals)
Even when you buy DP-900 through different channels, the exam identity and measured domains remain the same. Use this table to keep your planning consistent.
| Exam code | Exam name | Price (USD/region) | Status | Syllabus areas (weighting) | Difficulty | Certification |
|---|---|---|---|---|---|---|
| DP-900 | Microsoft Azure Data Fundamentals | Varies by region; confirm on the official Microsoft exam listing | Listed for purchase (may vary by region) | Core data concepts 25–30%, Relational data 20–25%, Non-relational 15–20%, Analytics 25–30% | Beginner-friendly, concept-focused | Microsoft certification (fundamentals) |
How to study the DP-900 syllabus with a scenario-first method
DP-900 questions frequently mirror workplace decision-making: you see a requirement, identify the data/workload type, and choose the matching service.
Build “scenario → service” rules
Use this template to study:
- Scenario: “Need file storage for images/logs”
- Data type: unstructured
- Workload: general storage access
- Service fit: Blob Storage
- Why it fits: designed for storing large amounts of unstructured data
Repeat this pattern for:
- Semi-structured JSON-like data
- Transactional systems (structured and predictable access)
- Analytical processing (batch, transformations)
- Real-time insights (streaming concepts)
- BI dashboards (Power BI)
Focus areas that commonly appear in exam-style questions
- Selecting correct classification of data: structured vs semi-structured vs unstructured
- Choosing between transactional and analytical workloads
- Understanding where relational SQL fits best
- Recognizing non-relational storage families and when to choose Cosmos DB
- Identifying which analytics tooling fits batch, lakehouse, BI, and real-time insights
Tip: After every practice set, sort your wrong answers by domain. Your next study session should target the highest-frequency wrong domain first.
DP-900 topic deep dive (what to learn within each syllabus area)
This section turns the DP-900 syllabus weights into clear learning objectives.
Core data concepts (25–30%): the vocabulary you must know
Learn to clearly distinguish:
- Data type by structure
- Structured: tabular rows/columns
- Semi-structured: flexible records with tags/keys
- Unstructured: no fixed schema (documents/media)
- Data storage logic
- How data representation influences storage approach
- Workload types
- Transactional workloads: CRUD-style and fast point queries/updates
- Analytical workloads: large scans, aggregation, dashboards, analytics transformations
Mini-practice you can do (no tools needed)
Write your own examples:
- Structured example: customer accounts table
- Semi-structured example: event payload logs in JSON-like format
- Unstructured example: PDF contracts or images
Relational data on Azure (20–25%): SQL and Azure SQL services
Study:
- What makes a database relational: tables and relationships
- How SQL supports queries against structured data
- The purpose of Azure SQL services (PaaS relational options)
How to answer exam-style questions:
- If the scenario emphasizes schema, relational constraints, and structured queries, relational fits.
- If the scenario emphasizes “flexible schema” and scale patterns, you likely pivot to non-relational.
Non-relational data on Azure (15–20%): Cosmos DB and storage types
Study:
- Azure Cosmos DB conceptually as a NoSQL database option designed for high scale patterns
- Azure Storage services and their intended purposes:
- Blob Storage for unstructured objects
- File Storage for file shares
- Table Storage for key/attribute storage patterns
Warning: Do not treat all storage services as interchangeable. DP-900 frequently tests correct selection based on data type and access pattern.
Analytics workloads on Azure (25–30%): large-scale processing to BI
Study:
- Batch analytics and large-scale analytics concepts
- Azure Databricks as a platform for large-scale data processing using Spark-style workloads (fundamentals)
- Microsoft Fabric as an analytics ecosystem for modern analytics experiences
- Real-time analytics concepts (streaming insights)
- Power BI for reporting and visualization
How to answer:
- If the scenario is “process large data sets with analytics workflows,” point to Databricks/Fabric-style processing.
- If it’s “visualize and report,” Power BI aligns strongly.
- If it’s “real-time insights,” focus on streaming/real-time analytics patterns.
DP-900 exam preparation that pairs with voucher timing
You’ll improve outcomes when voucher purchase timing matches your confidence.
A practical “voucher-ready” checkpoint
Before you buy a voucher, aim to:
- Score consistently in your practice sets for each domain
- Identify and fix your top weak domain
- Complete at least one free ITExamDeals mock exam
Tip: Passing a mock exam can unlock up to 70% off voucher offers when that offer is active, helping you avoid paying full price after you already know you’re ready.
FAQs
What is DP-900?
DP-900 is Microsoft’s Microsoft Azure Data Fundamentals exam. It validates foundational understanding of data concepts and how Azure data services support relational data, non-relational data, data storage, and analytics workloads.
What is the DP-900 syllabus?
The DP-900 syllabus is organized into four 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%). Each domain includes topic areas like structured/semi-structured/unstructured data, SQL/relational concepts, Azure storage families, Cosmos DB, and analytics tools such as Databricks, Fabric, real-time analytics, and Power BI.
How much does DP-900 cost?
DP-900 exam cost varies by region and currency. Microsoft publishes the current DP-900 exam price on the official DP-900 exam listing used for scheduling. Confirm the Cambodia/locale price displayed there, then ensure your voucher redeem value matches that price.
Where can I buy a DP-900 exam voucher?
You can buy DP-900 vouchers through several channels: Microsoft’s exam store, authorized reseller voucher suppliers, and some training/service partners. For a dedicated voucher workflow, you can also consider SecByte’s marketplace listing for DP-900 exam voucher.
What is the cheapest way to take DP-900?
The cheapest approach is usually a combination of: (1) purchasing when active voucher discounts are available and (2) buying only after you’ve completed practice so you don’t retake. A practical path is using free ITExamDeals mock exams first; passing a mock can unlock up to 70% off voucher offers when available.
Is DP-900 difficult?
DP-900 is beginner-friendly because it’s focused on fundamentals rather than deep implementation. The challenge is conceptual accuracy—matching data type and workload to the correct Azure service and describing data concepts clearly.
How do I prepare for DP-900?
Prepare by following the four-domain syllabus weights, learning structured/semi-structured/unstructured data, mastering relational vs non-relational storage and databases (SQL, Azure SQL services, Cosmos DB, Blob/File/Table Storage), and strengthening analytics understanding (Databricks, Fabric, real-time analytics, Power BI). Then practice with exam-style questions and mock exams until your accuracy is strong across every domain.
Next steps
- Create a 3-week DP-900 study plan mapped to the domain weightings.
- Use Microsoft Learn for syllabus-aligned concept learning.
- Do daily exam-style practice questions and review mistakes by domain.
- Complete at least one mock exam, then purchase your DP-900 exam voucher based on your readiness.
- Schedule your exam soon after voucher redemption so your study momentum doesn’t drop.