Microsoft DP-900 (Azure Data Fundamentals) measures core data concepts, relational and non-relational data on Azure, and analytics workloads such as large-scale data, real-time analytics, Power BI, Azure Databricks, and Microsoft Fabric. For candidates in South Korea, the “right” DP-900 voucher purchase route depends on current exam pricing, supported languages, and whether you need extra study support—not on shortcuts.
Key takeaways
- DP-900 focuses on data fundamentals for Azure, with analytics workloads making up the largest share of the measured skills.
- Syllabus weightings (current guide ranges): Core data concepts (25–30%), relational data (20–25%), non-relational data (15–20%), analytics workloads (25–30%).
- Exam preparation works best with structured study + DP-900 exam-style practice questions aligned to the Microsoft Learn learning paths.
- Voucher buying strategy: compare pricing and delivery (digital/verification), then match the route to your need for support.
- Passing a mock exam unlocks up to 70% off voucher offers—use mock exams to reduce your overall training cost.
What is the Microsoft DP-900 exam, and what does it test?
DP-900 is the Microsoft Azure Data Fundamentals certification exam. It validates that you understand how data is represented, how relational and non-relational data are used in Azure, and how analytics workloads are delivered with modern Azure services.
DP-900 exam overview (straight to the point)
DP-900 typically targets candidates who want a strong foundation before going deeper into Azure data engineering, analytics engineering, or BI.
You’ll be evaluated on knowledge such as:
- Structured, semi-structured, and unstructured data
- Data storage choices across Azure
- Transactional vs analytical workloads and why they differ
- SQL and relational database concepts
- Azure SQL services, plus Azure data storage options like Blob/File/Table
- Azure Cosmos DB concepts
- Large-scale analytics patterns and services
- Azure Databricks, Microsoft Fabric, real-time analytics, and Power BI
Tip: Think of DP-900 as a “bridge exam”—it’s designed to help you speak the common language of Azure data + analytics.
Who should take DP-900 in South Korea?
DP-900 is ideal when your goal is data literacy on Azure. It also fits well as a first Microsoft credential if you’re starting with data or analytics.
Good candidates for DP-900
DP-900 makes sense if you are:
- A developer or IT professional moving toward data, BI, analytics, or cloud fundamentals
- A student or early-career candidate aiming for a vendor-neutral foundation in Azure data concepts
- An administrator or consultant who needs to understand how data services work before implementation
- Someone planning next-step certifications that involve data and analytics
Helpful context from other IT cert tracks
If you’ve studied for CompTIA Security+ SY0-701, CompTIA Network+ N10-009, AZ-104 Azure Administrator, or general cloud roles (for example AWS Solutions Architect Associate SAA-C03), DP-900 complements that by focusing specifically on data models, storage, and analytics workflows.
Tip: If you already know basic SQL and want Azure-specific data concepts, DP-900 is a strong step forward.
What is the DP-900 syllabus? (Complete weightings + topics)
Below is the syllabus at the skill area level with the current weight ranges used by Microsoft Learn study materials.
DP-900 measured skills (weighting ranges)
- Core data concepts (25–30%)
- Relational data on Azure (20–25%)
- Non-relational data on Azure (15–20%)
- Analytics workloads on Azure (25–30%)
Core data concepts (25–30%): what you must know
You’ll commonly encounter questions that connect data type to storage and workload.
Core concepts to master:
- Structured data: fits rows/columns; commonly stored and queried in relational databases
- Semi-structured data: flexible schema; often represented with formats like JSON
- Unstructured data: content like images, documents, text, and logs without a fixed schema
- Data storage basics: when to pick a database vs object storage vs other storage models
- Transactional vs analytical workloads
- Transactional: supports operational systems (think OLTP patterns)
- Analytical: supports reporting and analysis (think OLAP patterns)
Relational data on Azure (20–25%): SQL + relational services
This part links relational modeling and SQL concepts to Azure database offerings.
Relational topics you should cover:
- SQL fundamentals: querying, relationships, and relational data thinking
- Relational model concepts: tables, primary keys, relationships, and normalization ideas (at a conceptual level)
- Azure SQL services at a fundamentals level (which service fits which scenario)
- When relational databases are a better fit:
- Strong schema and consistency needs
- Workloads where joins and SQL queries are central
Non-relational data on Azure (15–20%): storage + NoSQL
Non-relational data includes both the NoSQL approach and Azure’s broad storage options.
What to study:
- Azure Blob Storage: object storage for large amounts of unstructured data
- Azure File Storage: managed file shares
- Azure Table Storage: key/value + table-like storage for certain scalable scenarios
- Azure Cosmos DB:
- Understand it as a globally distributed, multi-model database service conceptually
- Recognize when NoSQL-style design helps (schema flexibility, scale patterns)
Analytics workloads on Azure (25–30%): from big data to dashboards
Analytics is a major portion of DP-900. It ties data sources to analytics platforms and BI.
You must cover:
- Large-scale analytics concepts (batch and big data patterns at a fundamentals level)
- Azure Databricks:
- Recognize it as a platform for data engineering and analytics workflows
- Microsoft Fabric:
- Understand it as an analytics platform for modern BI and data experiences
- Real-time analytics:
- How streaming-style scenarios differ from batch processing
- Power BI:
- Understand how BI reporting relates to curated data outputs and dashboards
Warning: Don’t memorize service names in isolation. DP-900 emphasizes matching a service to a data type + workload pattern.
How do structured, semi-structured, and unstructured data map to Azure services?
This section is where many DP-900 candidates gain points fast. The exam often asks you to connect data type to storage/processing choices.
A practical mental model
Use this mapping approach:
- Identify the data format: structured / semi-structured / unstructured
- Identify the workflow: transactional vs analytical, batch vs real-time
- Identify the query style: SQL-like querying vs flexible schema / object retrieval
- Select the service category: relational DB, object storage, NoSQL DB, or analytics platform
Quick cheat sheet (conceptual)
- Structured data → relational modeling + SQL-friendly approach
- Semi-structured data (e.g., JSON) → flexible ingestion + processing; often fits analytics pipelines
- Unstructured data (documents, media, logs) → object storage patterns (e.g., blob) + downstream processing for analytics/insights
Tip: For DP-900, you don’t need to be an architect. You need to recognize what a workload is asking for.
Transactional vs analytical workloads: how to tell the difference on DP-900
DP-900 uses transactional vs analytical workloads to test whether you can predict what kind of system a business needs.
Transactional workloads (what to expect)
- Focus: operational actions and consistent updates
- Goal: low-latency reads/writes for apps
- Typical examples: e-commerce orders, user profiles, operational reporting with fresh data
Analytical workloads (what to expect)
- Focus: insights, trends, and reporting
- Goal: scan/aggregate data to answer business questions
- Typical examples: sales analytics, usage analytics, BI dashboards, time-based reporting
DP-900 scoring pattern to remember
If a question describes:
- Frequent updates + consistent queries → think transactional
- Aggregations + historical analysis + reporting → think analytical
DP-900 exam format, question style, and time management
A strong DP-900 strategy is to plan for how you’ll read each scenario.
Exam format (what you prepare for)
DP-900 is a computer-based exam delivered through an online proctored or test center model depending on the region and Microsoft’s current delivery options.
What you should do before day-of:
- Practice reading scenario questions quickly
- Build confidence with exam-style practice questions from reliable prep sources
- Ensure you understand key distinctions: relational vs non-relational, transactional vs analytical, and storage vs analytics platforms
Tip: Don’t overthink service trivia. DP-900 rewards correct classification of data + workload.
Preparation checklist (practical)
- Make a one-page map of the four skill areas and fill in service examples
- Use practice questions to test that you can answer without re-reading the syllabus every time
- Track weak topics (especially analytics workloads and non-relational storage choices)
DP-900 exam cost and South Korea pricing: what you can and can’t assume
DP-900 voucher price in South Korea depends on the current Microsoft exam pricing and the voucher seller’s delivery model. Because exam pricing can change and differs by country, the only accurate DP-900 exam cost is the live price shown on the official purchasing page for your region.
Current DP-900 price/cost: how to verify accurately
Use this approach to avoid guessing:
- Identify the exam code (DP-900)
- Navigate to the official exam pricing page for your region
- Confirm the current list price and the currency shown for South Korea
- Compare it against voucher listings to determine value
What impacts “DP-900 voucher price” beyond the list price
- Voucher delivery method (digital code vs managed redemption)
- Eligibility rules for certification track/account mapping
- Whether a seller bundles extra study support (which may change total cost)
Warning: Avoid unreliable “cheap DP-900 exam voucher” listings that do not clearly describe how redemption works. Your goal is a straightforward, vendor-supported path to sitting the exam.
Where to buy a DP-900 exam voucher in South Korea (and how to compare routes)
Buying a voucher is not just about the cheapest number—it’s about redemption clarity, support, and whether the purchase route matches how you plan to study.
Purchase routes you can use
Here’s a realistic comparison of common buying approaches for South Korea candidates:
| Route | What you get | Price competitiveness | Support quality | Best for | Typical trade-offs |
|---|---|---|---|---|---|
| Microsoft exam store / official channel | Direct voucher generation tied to the official system | Usually clear list pricing | Highest | Candidates who want lowest complexity | Sometimes fewer discount options |
| Authorized reseller / voucher marketplace | Voucher codes purchased via an authorized partner | Can be competitive | Varies by reseller | Candidates comparing “DP-900 voucher price” across sellers | Read redemption steps carefully |
| Training academy (bundle offers) | Voucher + learning materials | Can be higher total cost | Medium to high | Candidates who want guided study | Less flexibility if you already have your own materials |
Where to buy: a focused option for DP-900 vouchers
If your goal is a smooth voucher purchase flow and straightforward access, SecByte provides a dedicated product page for the Microsoft DP-900 exam voucher here:
Tip: When you compare “cheap DP-900 exam voucher” options, compare all-in redemption steps (how you activate the voucher and schedule the exam), not just the headline price.
DP-900 comparison table: exam code, name, status, syllabus areas, and difficulty
The table below is designed to help you compare DP-900 against your broader certification plan.
Note: Exam price and status can change over time. Use the official listing for your region to confirm the live values.
| Exam code | Exam name | Price (South Korea) | Status | Syllabus areas covered | Difficulty (candidate experience) | Certification target |
|---|---|---|---|---|---|---|
| DP-900 | Microsoft Azure Data Fundamentals | Varies by region; confirm live South Korea price on official Microsoft exam pricing | Active (verify on the official DP-900 listing) | Core data concepts; relational data; non-relational data; analytics workloads | Intro-to-intermediate for fundamentals; depends on your SQL/analytics background | Data foundations for Azure data and analytics |
How to interpret “difficulty” for DP-900
DP-900 is commonly approachable because it emphasizes fundamentals and decision-making. Difficulty increases if you:
- Have limited exposure to SQL or relational concepts
- Haven’t worked with BI/analytics workflows (Power BI, analytics pipelines)
DP-900 exam preparation plan (what to study first and what to practice)
A top-performing DP-900 preparation plan should be concept-first, then question-driven.
Week-by-week approach (flexible)
Phase 1 (Days 1–3): Core data concepts
- Structured vs semi-structured vs unstructured
- Transactional vs analytical workloads
- Data storage at a fundamentals level
Phase 2 (Days 4–6): Relational data on Azure
- SQL and relational concepts
- Azure SQL services (core use-case matching)
Phase 3 (Days 7–9): Non-relational data on Azure
- Blob/File/Table Storage concepts
- Cosmos DB at a fundamentals level
Phase 4 (Days 10–12): Analytics workloads on Azure
- Large-scale analytics concepts
- Azure Databricks
- Microsoft Fabric
- Real-time analytics
- Power BI
Phase 5 (Final 2–3 days): Practice exam-style questions
- Focus on weak areas
- Time-box practice sessions
Recommended study resources (vendor-independent)
DP-900 preparation succeeds when you combine Microsoft Learn content with practical exam-style questions.
Use:
- Microsoft Learn learning paths and modules for each of the four DP-900 skill areas
- Exam-style practice questions that simulate scenario-based learning outcomes
- Free ITExamDeals mock exams to validate readiness and build confidence
Tip: Passing a mock exam unlocks up to 70% off voucher offers, making mock-driven preparation a practical way to reduce total training cost.
A syllabus-aligned topic breakdown you can use for your notes
This breakdown turns the four skill areas into study checklists.
1) Core data concepts (25–30%) checklist
- Define structured data
- Define semi-structured data
- Define unstructured data
- Explain data storage concepts
- Describe transactional vs analytical workloads
2) Relational data on Azure (20–25%) checklist
- Use SQL/relational concepts conceptually
- Explain how relational databases support structured queries
- Identify the right Azure SQL service category based on workload intent
3) Non-relational data on Azure (15–20%) checklist
- Explain Azure Blob Storage concepts
- Explain Azure File Storage concepts
- Explain Azure Table Storage concepts
- Explain Azure Cosmos DB concepts at a fundamentals level
4) Analytics workloads on Azure (25–30%) checklist
- Describe large-scale analytics
- Explain the role of Azure Databricks
- Explain the role of Microsoft Fabric
- Describe real-time analytics patterns
- Explain how Power BI fits analytics and reporting
FAQs
What is DP-900?
DP-900 is the Microsoft Azure Data Fundamentals exam. It tests your understanding of core data concepts, relational and non-relational data on Azure, and how analytics workloads are delivered using Azure services such as analytics platforms and BI tooling.
What is the DP-900 syllabus?
The DP-900 syllabus is grouped into four major measured skill 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 exam cost depends on current South Korea pricing and the currency shown in the official Microsoft exam pricing page for your region. Voucher prices can also vary by seller based on delivery model.
Where can I buy a DP-900 voucher?
You can buy DP-900 vouchers through official exam purchasing routes, authorized resellers, or training providers. For a dedicated voucher page, you can use the DP-900 exam voucher listing from SecByte once through this guide’s comparison section.
What is the cheapest way to take DP-900?
The cheapest approach usually combines accurate price comparison across voucher routes and cost control via mock exams. Passing a mock exam can unlock up to 70% off voucher offers, which often reduces total cost more than chasing small differences on a single listing.
Is DP-900 difficult?
DP-900 is considered an intro-to-intermediate fundamentals exam. It is easiest if you can map scenarios to data type and workload type (transactional vs analytical) and if you can recognize where relational SQL concepts and Azure analytics services fit.
How do I prepare for DP-900?
Prepare by studying the four DP-900 skill areas in order: core data concepts, relational data, non-relational data, then analytics workloads. Finish with repeated exam-style practice questions and free ITExamDeals mock exams to measure readiness and focus your final review.
Next steps
- Build a 1-page DP-900 study map covering the four measured skill areas and key Azure services.
- Do structured learning first, then switch to scenario-based exam-style practice questions.
- Take free ITExamDeals mock exams to identify weak topics early.
- Compare voucher routes (official channel vs authorized reseller vs training bundle) using the redemption steps as your decision criteria.
- Confirm South Korea pricing on the official DP-900 exam listing before purchasing a voucher.