Buy a Microsoft DP-900 exam voucher in Malaysia by choosing the route that matches your budget and support needs—Microsoft (Pearson VUE) checkout for the live regional fee, or an authorised voucher reseller for convenience. Use this guide to understand the DP-900 syllabus, exam format, and a practical study plan that covers Azure data storage and analytics end to end.

Key takeaways

  • DP-900 validates Azure data fundamentals across core data concepts, relational data, non-relational data, and analytics workloads.
  • The DP-900 exam measures both data understanding and workload selection (transactional vs analytical) with Azure services.
  • Your voucher should be purchased via the vendor’s store/checkout or authorised resellers/training partners for clean scheduling and support.
  • Use Microsoft Learn learning paths plus exam-style practice questions to build confidence on every skills area.
  • Passing a mock exam unlocks up to 70% off voucher offers (available through ITExamDeals’ mock exam workflow).

What is DP-900, and what does it test?

DP-900 is Microsoft’s Azure Data Fundamentals certification exam. It’s designed for candidates who want a strong foundation in how data is represented, stored, managed, and used in Azure—especially when choosing between relational vs non-relational options and understanding analytics vs transactional workloads.

DP-900 does not require you to already be a database engineer. Instead, it checks your understanding of the data landscape and the right Azure service for the right workload.

What knowledge areas does DP-900 cover?

DP-900 aligns to a modern Azure data curriculum. The exam focuses on four main areas with these approximate 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%

How DP-900 shows mastery (skills style)

You can expect exam-style questions that test whether you can:

  • Identify structured, semi-structured, and unstructured data.
  • Choose appropriate storage patterns such as SQL relational vs NoSQL vs data lake storage.
  • Explain transactional (OLTP) vs analytical (OLAP) workloads.
  • Connect Azure analytics services to business outcomes, including real-time and batch analytics.

What is the DP-900 syllabus? (full skills map with breakdowns)

The DP-900 syllabus below reflects the skills measured across the four content areas. Use it as your checklist while studying on Microsoft Learn.

1) Core data concepts (25–30%)

This section builds the “language” of data so you can interpret scenarios.

You should be able to:

  • Distinguish between structured data, semi-structured data, and unstructured data.
    • Structured: fixed schema (e.g., tables/columns)
    • Semi-structured: flexible formats with tags/keys (e.g., JSON)
    • Unstructured: no fixed schema (e.g., text, images)
  • Explain data storage approaches at a high level.
  • Understand transactional vs analytical workloads:
    • Transactional (OLTP): lots of reads/writes for current operations
    • Analytical (OLAP): scan/aggregate historical data for insights
  • Describe common patterns for data management:
    • ingestion, storage, processing, and analytics

2) Relational data on Azure (20–25%)

This section targets Azure relational database concepts and SQL basics.

You should be able to:

  • Explain relational model concepts such as tables, rows, and columns.
  • Understand the role of SQL for querying and shaping data.
  • Recognize common SQL concepts used in analytics planning (e.g., filtering, joins at a conceptual level).
  • Identify when relational services are a good fit for well-defined schemas.

Azure services and concepts you should cover:

  • Azure SQL and related relational database offerings
  • When to choose relational storage for consistent schema and transaction-heavy patterns

3) Non-relational data on Azure (15–20%)

This section helps you map real-world data needs (speed, scale, flexibility) to non-relational Azure options.

You should be able to:

  • Compare non-relational data stores against relational databases.
  • Explain common non-relational models such as:
    • key-value, document, and wide-column concepts (at a fundamentals level)
  • Understand how NoSQL supports flexible schemas and scalable data ingestion.

Azure storage services to master:

  • Azure Blob Storage (object/blob storage for unstructured/semi-structured content)
  • Azure File Storage (file shares in Azure)
  • Azure Table Storage (structured but NoSQL-style key/attribute storage)
  • Azure Cosmos DB (global distribution and multiple API models)

4) Analytics workloads on Azure (25–30%)

This section connects data storage to analytics platforms and outputs.

You should be able to:

  • Explain large-scale analytics concepts:
    • batch vs streaming
    • transformation and aggregation
  • Understand data processing at scale and how analytics platforms support it.
  • Recognize how to use:
    • Azure Databricks for large-scale data engineering and analytics
    • Microsoft Fabric for an end-to-end analytics experience (including reporting and data workflows)
    • real-time analytics patterns (streaming ingestion and near real-time insights)
    • Power BI for data visualization and BI reporting

How is the DP-900 exam formatted, and what to expect on test day?

DP-900 is a skills-focused exam that uses Microsoft’s standard certification testing experience.

Exam format basics

Study-ready preparation means you understand:

  • Question types are scenario-based and multiple-choice.
  • You’ll be asked to choose the best option that matches the data scenario and workload.
  • The goal is accuracy in fundamentals and correct mapping to Azure data services.

What to review before booking

Before you book, ensure you complete:

  1. Account verification and identity checks
  2. Time management strategy (don’t over-read—answer based on the best-fit concept)
  3. A final pass over Microsoft Learn modules aligned to the skills areas above

Tip: Build a one-page “decision cheat sheet” for yourself: when you see structured vs semi/unstructured, or OLTP vs OLAP, write the most likely Azure storage/analytics direction.

Who should take DP-900 (and who should not)?

DP-900 is ideal for candidates who want Azure data fundamentals without needing deep database administration experience.

You should take DP-900 if you:

  • Want an entry-level Azure certification focused on data concepts
  • Are a developer, analyst, or IT professional learning Azure data services
  • Need a foundation before stepping into Azure data roles or advanced exams
  • Prefer vendor-independent fundamentals with clear mapping to Azure services

You can also use DP-900 as a stepping stone for roles that may later involve:

  • Azure data engineering concepts
  • Analytics engineering and BI foundations
  • Data governance and architecture discussions

How to prepare for DP-900 (a practical, syllabus-first plan)

A strong DP-900 plan prioritizes coverage of all four skills areas, then reinforces through exam-style practice questions.

A 2–4 week study roadmap (adjust by your schedule)

Week 1: Core data concepts + Relational basics

  • Cover structured/semi/unstructured data
  • Focus on transactional vs analytical workloads
  • Study the relational model and SQL fundamentals at the concept level
  • Do targeted practice questions for core definitions and scenario mapping

Week 2: Non-relational data on Azure

  • Master Blob, File, Table storage differences
  • Learn Cosmos DB purpose and how it supports scalable non-relational workloads
  • Practice scenario questions that describe data flexibility and scale needs

Week 3: Analytics workloads on Azure

  • Study Azure Databricks and large-scale analytics concepts
  • Cover Microsoft Fabric components and BI workflow understanding
  • Learn real-time analytics patterns and when streaming is preferred
  • Practice scenario questions that connect service choice to outcomes

Week 4 (optional): Full review + timed practice

  • Re-read your decision cheat sheet
  • Take multiple sets of exam-style practice questions
  • Identify weak areas and return to the exact Microsoft Learn modules

Use free ITExamDeals mock exams to build confidence

Use free ITExamDeals mock exams to simulate the exam experience and measure readiness. When you pass a mock exam, you can unlock up to 70% off voucher offers through the same workflow—helpful when you’re ready to buy your DP-900 exam voucher.

Warning: Avoid focusing only on memorising terms. DP-900 questions reward selecting the best concept-to-service match for a given data scenario.

Where can you buy a DP-900 exam voucher in Malaysia?

For Malaysia candidates, the most reliable paths to buy a DP-900 voucher are:

  • Microsoft/Pearson VUE store or checkout (live regional pricing during purchase)
  • Authorised resellers and training partners (often convenient for voucher procurement)
  • Corporate training procurement (common if your employer handles compliance and purchasing)

DP-900 voucher buying routes: trade-offs that matter

Use the table below to compare realistic purchase options. Prices can vary by region, so the “price” field is intentionally written as a verification field rather than an invented number.

Exam codeExam namePrice (Malaysia)StatusSyllabus areas coveredDifficultyCertification pathBest forHow to verify price
DP-900Microsoft Azure Data FundamentalsCheck live during checkout (varies by region)Typically available when Pearson VUE offers itCore data concepts; Relational data; Non-relational data; Analytics workloadsEntry-level fundamentalsAzure Data FundamentalsFirst-time Azure data credential seekersPurchase checkout page shows the final amount

Where to buy DP-900 exam voucher (practical guidance)

If you want a smooth voucher purchase experience in Malaysia, choose a route that clearly supports voucher delivery and scheduling.

One option commonly used by candidates is SecByte for voucher sourcing. You can review details on the DP-900 exam voucher page and follow its purchase flow.

What to check before you pay

  • The voucher is for the correct exam code: DP-900
  • Voucher currency and regional availability for Malaysia
  • Delivery method (instant vs email vs redemption instructions)
  • The scheduling instructions tied to the voucher

Tip: Save the confirmation and keep the voucher code in a secure note folder until your exam appointment is confirmed.

DP-900 voucher price and exam cost: what you should expect

DP-900 exam price is determined by Microsoft’s published exam pricing for your country and the marketplace used for the transaction. The only reliable way to know the exact “DP-900 voucher price” for Malaysia is to view the live checkout price for DP-900 on the voucher purchase flow you choose.

How exam cost typically breaks down

  • Exam fee (set by Microsoft/Pearson VUE for your region)
  • Possible VAT or local taxes applied during checkout (region-dependent)
  • Any reseller handling charges (if applicable)

How to compare “best value” without guessing

A “cheap DP-900 exam voucher” is usually the result of:

  • Correct region selection during purchase
  • Clear voucher delivery terms
  • Using a pricing model that matches your payment and scheduling needs

Avoid deals that don’t clearly specify DP-900, voucher redemption instructions, and delivery method.

DP-900 syllabus mastery: detailed topic walkthrough by skills area

This section turns the four weightings into a concrete study checklist.

Core data concepts (25–30%): focus topics

  1. Structured data vs semi-structured (e.g., JSON-like) vs unstructured (text/media)
  2. Data storage fundamentals: why different storage types exist
  3. Transactional vs analytical workloads:
    • operational systems vs reporting/insights
  4. How workload type influences the choice of data approach

Relational data on Azure (20–25%): focus topics

  1. Relational model: tables and relationships
  2. SQL basics used to query and shape data
  3. Why relational storage fits when schema consistency matters
  4. Azure relational options and how they support operational workloads

Non-relational data on Azure (15–20%): focus topics

  1. When to use NoSQL patterns (flexibility, scale)
  2. Azure Blob/File/Table Storage:
    • blobs for objects
    • files for shared file storage
    • tables for NoSQL key/attribute storage
  3. Azure Cosmos DB:
    • scenario understanding of global scale and data model flexibility

Analytics workloads on Azure (25–30%): focus topics

  1. Large-scale analytics concepts (batch processing and aggregation)
  2. Azure Databricks:
    • data engineering and analytics at scale
  3. Microsoft Fabric:
    • end-to-end analytics workflow understanding
  4. Real-time analytics:
    • streaming and near real-time insights
  5. Power BI:
    • turning prepared data into dashboards and reports

Microsoft Learn study resources you should use (and why they work)

Use Microsoft Learn because it is structured around product learning paths and aligns directly with Azure concepts you will see in DP-900.

Recommended learning resource types

  • Azure data fundamentals modules that explain storage and workload choices
  • Databricks and analytics overview content (focus on “what it’s for”)
  • Fabric and Power BI conceptual modules (focus on BI workflow)
  • Cosmos DB and storage learning paths (focus on data model and use cases)

How to study effectively (fast but thorough)

  1. Read a module summary
  2. Write a 3–5 bullet summary in your own words
  3. Answer exam-style practice questions immediately
  4. Revisit the module only for missed concepts

If you’re coming from adjacent IT tracks, you can position DP-900 as your Azure data foundation.

Examples of related certifications by focus area (not a replacement):

  • Microsoft AZ-104 Azure Administrator: broader admin and operational scope
  • CompTIA Security+ SY0-701: security fundamentals (different domain)
  • AWS Solutions Architect Associate SAA-C03: AWS architecture (different cloud)
  • Cisco CCNA 200-301: networking fundamentals (different domain)
  • Fortinet FortiGate Administrator and EC-Council CEH v13: security operations/foundations (different domain)

DP-900 is about data concepts and Azure data services, not network config or security testing.

FAQs

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What is DP-900?

DP-900 is the Microsoft Azure Data Fundamentals exam. It validates your understanding of core data concepts, Azure relational and non-relational data options, and Azure analytics workloads.

What is the DP-900 syllabus?

The DP-900 syllabus covers four major 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%). Use this breakdown as your checklist while studying on Microsoft Learn.

How much does DP-900 cost (exam cost / voucher price) in Malaysia?

DP-900 cost is set by the exam pricing for your country in the purchase checkout flow. You should view the live regional price during DP-900 voucher purchase for Malaysia to see the final amount including any applicable taxes.

Where can I buy a DP-900 exam voucher?

You can buy DP-900 vouchers via Microsoft/Pearson VUE checkout for live regional pricing, or through authorised resellers/training procurement routes that provide voucher codes and scheduling instructions.

What is the cheapest way to take DP-900?

The cheapest option depends on Malaysia’s live exam fee and voucher pricing available through your chosen purchase route. A practical value method is to compare total checkout cost (exam fee plus any local taxes/fees) and use free ITExamDeals mock exams—passing a mock can unlock up to 70% off voucher offers.

Is DP-900 difficult?

DP-900 is designed as an entry-level fundamentals exam. Candidates generally find it approachable when they learn structured decision-making across data types (structured/semi/unstructured), OLTP vs OLAP, and Azure storage/analytics service choices.

How do I prepare for DP-900?

Prepare by following a syllabus-first plan: study core data concepts, then relational and non-relational Azure storage, then analytics workloads with Azure Databricks, Microsoft Fabric, real-time analytics patterns, and Power BI. Reinforce everything with exam-style practice questions and take free mock exams to identify gaps.

Next steps

  • Create a DP-900 checklist using the four syllabus areas and their weightings.
  • Study module-by-module and keep a one-page “service selection” cheat sheet (structured vs semi/unstructured; OLTP vs OLAP).
  • Practice with exam-style questions daily, then add timed mock exam sessions.
  • When you’re ready to book, compare the total cost using the live voucher/checkout flows available for DP-900 in Malaysia.