Microsoft DP-900 is the Azure Data Fundamentals certification for people who need practical knowledge of data concepts and analytics services. In Taiwan, the best “DP-900 exam voucher” value comes from comparing Microsoft pricing, authorized resellers, and training/trade channels—then matching your study plan to the DP-900 syllabus so you take the exam ready.
Key takeaways
- DP-900 focuses on data fundamentals across structured, semi-structured, unstructured data, and both transactional vs analytical workloads.
- The core measured domains are 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%).
- In your preparation, use Microsoft Learn study paths and exam-style practice questions—not memorization.
- For DP-900 voucher price in Taiwan, compare official Microsoft pricing vs authorized resellers vs training channels based on what’s included (support, scheduling, guidance).
- Use free ITExamDeals mock exams to verify readiness; passing a mock exam unlocks up to 70% off voucher offers.
What is Microsoft DP-900 (Azure Data Fundamentals)?
DP-900—Microsoft Azure Data Fundamentals—validates foundational knowledge of data concepts and how Azure services support relational and non-relational data, as well as common analytics and BI scenarios.
This exam is designed for candidates who want confidence in terms like structured vs unstructured data, transactional vs analytical processing, and what Azure offerings are used for storage, databases, and analytics workloads.
Who DP-900 is for (practical, not theoretical)
DP-900 is a strong entry point if you:
- Are learning Azure for the first time or shifting into data/analytics.
- Need a foundation for later certifications like Microsoft AZ-104 Azure Administrator (for broader cloud operations) or data-focused tracks.
- Want vendor-neutral credibility before specialized roles (analytics engineer, data engineer, BI developer, cloud data analyst).
You can also use DP-900 to strengthen your baseline knowledge alongside other credential paths such as CompTIA Security+ SY0-701 or AWS Solutions Architect Associate SAA-C03, depending on your career direction.
Tip: If your goal is to understand Azure data services in plain language—DP-900 is the fast path. If your goal is deep administration, plan to follow up with role-based exams later.
What is the DP-900 exam format and how does the scoring work?
DP-900 is a multiple-choice exam delivered in Microsoft’s standard testing format. Microsoft periodically updates exam logistics, so you should always rely on the official Microsoft exam page for the latest details.
Exam format essentials (what to expect)
- Question types: Multiple-choice (with scenario-based items).
- Skills focus: Mapping data concepts to Azure services.
- Approach: Expect practical knowledge checks like “Which storage option fits this scenario?” or “Is this workload transactional or analytical?”
How to study for the format
Because the exam is scenario-oriented, studying only definitions is not enough. Practice by:
- Reading a concept (e.g., transactional workloads).
- Identifying what it means in real systems (e.g., consistent writes, point reads).
- Matching the concept to Azure services (e.g., SQL relational databases for transactional patterns).
What is the DP-900 syllabus and how are the skills weighted?
DP-900 measures foundational knowledge across four major areas. Microsoft Learn study guidance groups skills so you can prepare efficiently—and you should design your study plan around these weightings.
Complete syllabus with percentage weightings (aligned to the current measured domains)
- 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 topic breakdown (what you must be able to do)
Below is a practical mapping of what each domain asks you to understand.
1) Core data concepts (25–30%)
You should be able to explain and recognize:
- Data types and structures
- Structured data: Fits tables (rows/columns) and works well with relational models.
- Semi-structured data: Often uses formats like JSON-like structures; schema can evolve.
- Unstructured data: Text, images, audio/video—typically stored as blobs/files.
- Data storage fundamentals
- Why different storage approaches exist (access patterns, throughput, schema flexibility).
- Transactional vs analytical workloads
- Transactional workloads: Many reads/writes, operational consistency, low-latency responses.
- Analytical workloads: Large-scale processing, aggregation, historical analysis, BI reporting.
- Use-case thinking
- Given a scenario, choose the best data handling direction.
2) Relational data on Azure (20–25%)
You should understand:
- Relational database concepts
- Tables, rows, columns; primary keys and relationships.
- SQL basics at a conceptual level.
- SQL and relational querying
- How SQL supports transactional access and relational joins.
- Azure SQL services (the “family” of relational offerings)
- How Azure supports relational data management for transactional patterns.
Your goal is to connect relational concepts to the most common Azure relational use cases rather than memorizing every SKU.
3) Non-relational data on Azure (15–20%)
You should understand:
- Why non-relational systems exist
- Flexible schema, high scale, document and key-value patterns, and varied access models.
- Azure storage services
- Azure Blob Storage: Object storage for files and large unstructured data.
- Azure Files: Managed file shares for SMB-style access.
- Azure Table Storage: Structured key/value-like storage in a NoSQL table model.
- Azure Cosmos DB
- Conceptual understanding of document and multi-model NoSQL usage.
- Why you might choose a globally distributed NoSQL database.
4) Analytics workloads on Azure (25–30%)
You should understand the major parts of analytics pipelines:
- Large-scale analytics
- Batch vs near-real-time processing thinking.
- Azure Databricks
- How Databricks supports large-scale data processing and analytics workloads.
- Microsoft Fabric
- How Fabric supports modern analytics and BI experiences.
- Real-time analytics
- Event-driven and streaming concepts.
- Power BI
- BI visualization and reporting concepts.
Warning: DP-900 questions frequently combine multiple concepts (data structure + workload type + service fit). Practice “decision chains” like: “This is semi-structured JSON → store it in a compatible system → process it for analytics → visualize with BI.”
Which Azure data services match structured vs non-structured scenarios?
DP-900 is not only about memorizing Azure names. It’s about recognizing patterns. Use this mental checklist to map data structure to the most likely Azure service category.
Structured data (tables, relationships, SQL)
Typical characteristics:
- Predictable schema.
- Strong relationships.
- Business systems where consistency matters.
Likely Azure direction:
- Relational databases and SQL querying.
- Operational/transactional applications.
Semi-structured data (flexible schema, JSON-like)
Typical characteristics:
- Evolving schema.
- Nested fields.
- Data created by web apps, logs, APIs, or event streams.
Likely Azure direction:
- Storage models that handle flexible data.
- Downstream analytics pipelines that can transform and aggregate.
Unstructured data (files, documents, media)
Typical characteristics:
- No fixed schema.
- Large objects.
- Storage and retrieval are key.
Likely Azure direction:
- Azure Blob Storage for object storage.
- File share patterns when SMB-like access matters (Azure Files).
A quick scenario-to-service practice template
When you review study materials or practice questions, fill this in:
- Data shape: structured / semi-structured / unstructured
- Workload: transactional / analytical
- Goal: operational queries / reporting & aggregation / real-time insights
- Best fit: relational SQL, NoSQL, storage, analytics engine, BI tool
How do transactional vs analytical workloads appear in DP-900 questions?
DP-900 draws a line between systems that run day-to-day operations and systems that scan and aggregate large amounts of data.
Transactional workloads (operational systems)
You should be able to recognize:
- Frequent writes (new events, updates, orders).
- Short queries that return current state.
- Low-latency responses for user-facing apps.
Azure concept mapping:
- Strong fit with relational approaches for transactional patterns.
- Think “online application,” not “big dashboards.”
Analytical workloads (decision support systems)
You should be able to recognize:
- Large-scale reads.
- Historical analysis.
- Aggregations and reporting across time ranges.
Azure concept mapping:
- Analytics workloads often involve engines and platforms like:
- Azure Databricks for large-scale data processing.
- Microsoft Fabric for modern analytics experiences.
- Power BI for visualization and BI reporting.
Tip: If a scenario mentions “reports,” “trends,” “aggregations,” or “historical analysis,” treat it as analytical. If it mentions “current order status,” “editing records,” or “online app reads/writes,” treat it as transactional.
DP-900 exam overview: what to study for each domain (with action steps)
Below is a structured plan you can follow for DP-900 preparation.
Core data concepts (25–30%): study actions
- Build a one-page glossary:
- structured, semi-structured, unstructured
- transactional, analytical
- data storage basics
- Practice decision questions:
- Given a scenario, identify data type and workload.
- Use exam-style practice questions to simulate how scenarios are worded.
Relational data on Azure (20–25%): study actions
- Learn relational basics:
- tables, rows, relationships
- Understand SQL at a conceptual level:
- what SQL supports in relational querying
- Match operational scenarios to Azure SQL relational patterns.
Non-relational data on Azure (15–20%): study actions
- Learn storage types:
- Blob, Files, Table
- Learn why Cosmos DB is used:
- non-relational patterns and global scale concepts
- Practice “pick the storage/database” questions using scenario prompts.
Analytics workloads on Azure (25–30%): study actions
- Learn the analytics pipeline story:
- ingest → process → analyze → visualize
- Understand major analytics platforms:
- Azure Databricks
- Microsoft Fabric
- real-time analytics concepts
- Learn Power BI fundamentals:
- BI dashboards, reporting, and data visualization.
How much does the DP-900 exam cost in Taiwan, and what affects the DP-900 voucher price?
DP-900 exam cost depends on Microsoft’s regional pricing for Taiwan and the currency applied at checkout. The most reliable way to determine the exact “DP-900 voucher price” is to view the current Microsoft exam price for your location and then compare authorized buying channels for any added value (such as scheduling support).
What determines the DP-900 exam voucher price
Even if you see multiple sellers, these factors usually influence what you pay:
- Regional currency and local taxes applied at purchase.
- Whether the voucher is purchased via:
- Microsoft direct store
- authorized resellers/trade channels
- training partners that bundle support
- Whether you’re buying:
- a single exam voucher
- a package that includes guidance or practice resources (not guaranteed—varies by seller)
The “no surprises” checklist before buying
Before you commit to a voucher:
- Confirm the exam code is DP-900.
- Confirm the voucher is valid for candidates in your country/region (as applicable).
- Read the voucher terms for validity period and redeem conditions.
- Confirm payment currency if you’re seeing Taiwan pricing in a different currency.
Warning: Avoid unclear listings that do not specify the exam code or voucher terms. A legitimate DP-900 voucher should be traceable to the exam redemption workflow.
Where to buy a DP-900 exam voucher in Taiwan (and how to find the best value)
The safest way to find a good DP-900 voucher price is to compare three realistic purchase routes: Microsoft’s store, authorized resellers, and training/trade channels. These options differ mainly in price transparency, support, and whether guidance is included.
Voucher purchase routes comparison
| Purchase route | Typical advantage | Typical trade-off | Best for |
|---|---|---|---|
| Microsoft exam store | Most transparent redemption flow and official terms | Price may be fixed; fewer “bundles” | Candidates who want certainty and official documentation |
| Authorized resellers / trade channels | Potentially competitive DP-900 voucher price depending on local availability | Terms and currency details vary by seller | Candidates comparing value across multiple sellers |
| Training/trade packages | Often includes preparation support or guidance | Bundle value varies; may cost more than voucher-only | Candidates who want a structured learning + exam workflow |
Where to buy DP-900 voucher (SecByte mention + link once)
One practical channel to consider for obtaining a DP-900 exam voucher in your buying comparison is SecByte (where sellers list voucher details and redemption flows): DP-900 exam voucher.
Tip: When you compare any voucher listing, prioritize exam code correctness (DP-900), validity period, and redeem instructions over claims like “cheap” without terms.
DP-900 comparison table: exam code, name, price, status, and syllabus areas
The table below helps you compare DP-900 at a glance for planning. Because exact price and region-specific status can change, verify the current price and exam availability in the official Microsoft exam listing.
| Exam code | Exam name | Price (Taiwan) | Status | Syllabus areas (weight) | Difficulty (candidate fit) | Certification |
|---|---|---|---|---|---|---|
| DP-900 | Microsoft Azure Data Fundamentals | Varies by region (check current Microsoft listing) | Current exam (verify availability on Microsoft) | Core data concepts (25–30%), Relational data on Azure (20–25%), Non-relational data on Azure (15–20%), Analytics workloads on Azure (25–30%) | Entry-level fundamentals for data/analytics starters | Azure Data Fundamentals |
How to prepare for DP-900 (without wasting time)
DP-900 preparation works best when you pair structured study with exam-style practice questions that mirror how Microsoft frames scenarios.
Best preparation approach (repeatable workflow)
- Study each syllabus domain in order
- Core data concepts → Relational → Non-relational → Analytics workloads.
- Convert definitions into scenarios
- “If I were designing this system, what data type is it?”
- Practice with mock exams
- Use free ITExamDeals mock exams to measure readiness.
- Lock in weak topics
- Rework the domain where your practice scores show gaps.
Tip: Passing a mock exam unlocks up to 70% off voucher offers, so a mock-first strategy can reduce total training-to-exam cost.
Recommended study resources (vendor-independent + official-first)
Use these resources to align with Microsoft’s measured skills:
- Microsoft Learn for DP-900 learning paths, modules, and concept refresh.
- Microsoft Learn study guide / exam coverage pages for the exact skill mapping.
- Exam-style practice questions (scenario-based) from ITExamDeals mock exams.
How to build a 7–14 day DP-900 plan (example)
Days 1–3: Core data concepts (structured/semi/unstructured + transactional vs analytical)
Days 4–6: Relational data on Azure (SQL concepts + Azure SQL)
Days 7–9: Non-relational data on Azure (Blob/Files/Table + Cosmos DB)
Days 10–12: Analytics workloads on Azure (Databricks, Fabric, real-time analytics, Power BI)
Days 13–14: Full mock exam + targeted review
FAQs
What is DP-900?
DP-900 is the Microsoft Azure Data Fundamentals exam. It tests foundational knowledge of data concepts (structured/semi/unstructured), Azure storage and databases, and how analytics workloads and BI tools work at a high level.
What is the DP-900 syllabus?
The current DP-900 skills measured are grouped 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%).
How much does DP-900 cost?
DP-900 cost is set by Microsoft and varies by region and local currency. To get the exact DP-900 exam cost in Taiwan, use the current exam pricing shown on Microsoft’s official DP-900 exam listing.
Where can I buy a DP-900 voucher?
You can buy DP-900 vouchers through Microsoft’s exam store, authorized reseller/trade channels, and some training/trade package providers. For a practical option in your comparison, see the SecByte DP-900 voucher listing page.
What is the cheapest way to take DP-900?
The cheapest method typically comes from reducing total prep-to-exam friction:
- take free mock exams to validate readiness,
- then apply voucher offers after you pass a mock exam (where available),
- and compare voucher-only vs package options so you don’t pay for extras you don’t need.
Is DP-900 difficult?
DP-900 is considered entry-level because it targets fundamentals. The difficulty comes from scenario questions and service matching, so your best strategy is domain-based study plus repeat practice with exam-style questions.
Next steps
- Build a DP-900 study plan based on the four weighted domains.
- Create a one-page cheat sheet mapping data type → workload → Azure service category.
- Take a free ITExamDeals mock exam early, then again after targeted revision.
- When buying your DP-900 exam voucher, compare routes (Microsoft store vs authorized channels vs training packages) using the voucher terms you find in each listing.
Quick confidence checklist before you book DP-900:
- You can explain structured/semi/unstructured data.
- You can differentiate transactional vs analytical workloads.
- You can match scenarios to SQL/relational, Blob/Files/Table, and Cosmos DB.
- You understand the role of Databricks, Microsoft Fabric, real-time analytics, and Power BI in analytics workflows.