Microsoft DP-900 (Azure Data Fundamentals) validates foundational knowledge of data concepts and Azure data services. To buy an exam voucher in Ireland, compare Microsoft’s voucher checkout, authorised resellers, and training providers—then study the full DP-900 syllabus by mapping each topic to practice questions and hands-on learning.
- Core DP-900 focus areas: data concepts, Azure relational/non-relational data, and analytics workloads
- Syllabus is your roadmap: study the four domains with the right percentage weightings
- Voucher buying routes: compare vendor store vs authorised channels for support and convenience
- Prep strategy: use free ITExamDeals mock exams, then strengthen weak areas with targeted practice
- Passing a mock exam unlocks up to 70% off voucher offers (commonly listed on the platform—see the mock-exam offer section)
What is Microsoft DP-900, and what does it test for Azure data fundamentals?
Microsoft DP-900 is the Azure Data Fundamentals certification exam designed to confirm whether you understand core data concepts and how common Azure data services work at a basic level. DP-900 is ideal when you want a strong foundation for later role-based tracks like Microsoft AZ-104 Azure Administrator, data engineering, or analytics specialisations.
DP-900 in one view: the knowledge areas
DP-900 tests both conceptual and practical understanding across four 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%)
These domains align directly to Microsoft Learn learning paths and the skills measured in the exam objectives.
Who should take the Microsoft DP-900 exam (and who should not)?
DP-900 is a foundational exam, so it fits best when you want to validate entry-level knowledge of data and Azure data services—without requiring advanced scripting, complex database administration, or deep architecture work.
Best-fit candidates for DP-900
Choose DP-900 if you:
- Are new to Azure data concepts and want a structured starting point
- Need a first Microsoft credential before moving to role-based exams
- Are building confidence for a data-related pathway (analyst, junior data engineer, solutions support)
- Want a certification to support a résumé in cloud/data literacy
Candidates who should consider a different path first
DP-900 is not designed to replace hands-on technical credentials if you already work deeply with database design, data pipelines, or analytics engineering daily. For those cases, role-based certification pathways usually match better.
What is the DP-900 exam cost in Ireland, and how do exam vouchers affect price?
DP-900 exam voucher pricing in Ireland is determined at purchase time in the checkout flow (the authoritative price is what you see during voucher purchase or scheduling). Voucher buying routes can change how you pay and what support you get, but the exam itself and the measured skills remain the same.
DP-900 “exam cost” vs “voucher price”
- Exam cost: the total amount required to schedule the DP-900 exam in your region.
- Voucher price: the amount you pay to receive an exam voucher code used for scheduling.
Voucher codes are typically used in a checkout flow to reserve the exam at the price defined by the voucher issuer and the Microsoft/Pearson VUE exam listing.
How to verify the exact DP-900 price (without guessing)
To avoid incorrect assumptions, always use the live price shown during voucher purchase and during exam scheduling for Ireland. Prices can vary by currency, taxes, and marketplace channel.
Tip: If you see a “cheap DP-900 voucher” claim, confirm it by comparing what you will actually pay at checkout in Ireland, in the currency you’ll use.
What is the DP-900 syllabus? Complete domains, weightings, and detailed topic breakdown
The DP-900 syllabus is organised into four domains. Use the weightings to prioritise your study time.
Complete syllabus with percentage weightings (DP-900)
| Domain | Percentage | What you’ll learn (high level) |
|---|---|---|
| Core data concepts | 25–30% | Data types, formats, storage basics, structured vs semi-structured vs unstructured, and transactional vs analytical workloads |
| Relational data on Azure | 20–25% | Relational concepts and SQL basics plus Azure SQL services |
| Non-relational data on Azure | 15–20% | Non-relational models and Azure storage options (NoSQL, document/key-value/column-family patterns) |
| Analytics workloads on Azure | 25–30% | Large-scale analytics, Azure Databricks, Microsoft Fabric, real-time analytics, and reporting with Power BI |
Domain 1: Core data concepts (25–30%)
Understand structured, semi-structured, and unstructured data
- Structured data: fixed schema, rows/columns, e.g., relational tables
- Semi-structured data: flexible schema, self-describing format, e.g., JSON-like documents
- Unstructured data: no fixed schema, e.g., images, audio, text files, documents
Data storage and data at rest concepts
Focus on why storage design matters:
- Access patterns
- Cost/performance trade-offs
- Data lifecycle management
Transactional vs analytical workloads
- Transactional workloads (OLTP): support frequent inserts/updates and quick queries (e.g., web/app operations)
- Analytical workloads (OLAP): support scanning, aggregation, reporting, and trend analysis
Domain 2: Relational data on Azure (20–25%)
Relational and SQL fundamentals
You should be able to explain core relational ideas:
- Tables, rows, columns
- Primary key / relationships at a conceptual level
- Why SQL is used for querying relational data
Azure SQL services (core concepts)
Study how Azure’s relational offerings fit into common scenarios:
- Azure SQL Database (managed relational database)
- Azure SQL Managed Instance (relational compatibility and enterprise use cases)
- Azure SQL Server (for specific deployment scenarios)
Tip: Even if you don’t memorise product details, understand the “why” behind each service: management model, compatibility, and typical workload fit.
Domain 3: Non-relational data on Azure (15–20%)
Explain non-relational data concepts
Learn the motivation for non-relational storage:
- Evolving schemas
- High throughput requirements
- Flexible document/key-value patterns
Azure Blob/File/Table Storage
You should understand which storage option maps to which data need:
- Blob Storage: objects (text, images, media) and large unstructured datasets
- File Storage: file shares for legacy apps and lift-and-shift style access
- Table Storage: key-value style NoSQL, structured-as-rows but without classic relational constraints
Azure Cosmos DB
Cosmos DB is a foundation concept for non-relational data:
- Multi-model approach (document + other patterns)
- Global distribution concepts (high-level)
- Why Cosmos DB is used for low-latency and scale-out scenarios
Warning: DP-900 focuses on conceptual selection and usage fit, not on advanced query tuning or deep administration tasks.
Domain 4: Analytics workloads on Azure (25–30%)
Large-scale analytics (batch and scale concepts)
- What it means to process large volumes of data
- Batch-style analytics vs event-driven thinking
Azure Databricks
Understand Databricks as an analytics platform commonly used for:
- Data processing at scale
- Transformations for analysis
- Building analytics workflows using modern data tooling
Microsoft Fabric
Fabric provides a broad analytics ecosystem. For DP-900, focus on:
- Data/analytics platform concepts
- How analytics experiences connect to business reporting
Real-time analytics
Real-time analytics connects streaming data to operational decisions:
- Event ingestion
- Processing and quick aggregation
- Near-real-time dashboards and alerts (conceptually)
Power BI for BI/reporting
Power BI is the reporting and visualisation layer:
- Building reports and dashboards
- Connecting insights to business questions
How do you prepare for DP-900 exam success? A syllabus-first plan that works
DP-900 preparation works best when it mirrors how the exam is built: learn concepts → map them to Azure services → answer exam-style practice questions.
Step 1: Build your “DP-900 syllabus map”
Create a checklist with the four domains and sub-topics:
- For each concept, write one-sentence meaning
- Write one real example (transactional vs analytical, structured vs semi-structured)
- Note the Azure service that fits the scenario (Blob for unstructured storage, Cosmos DB for non-relational patterns)
Step 2: Use vendor-independent practice questions
Use exam-style practice questions to test understanding:
- Start with easy conceptual items
- Move to scenario selection questions (choose the best service based on data/workload type)
Tip: If a question asks “which option fits best,” focus on matching the data type (structured vs semi-structured vs unstructured) and workload type (transactional vs analytical) before thinking about implementation details.
Step 3: Reinforce using free mock exams
Use free ITExamDeals mock exams to simulate the cadence of the real exam:
- Identify weak domains quickly
- Re-read only the topics that you missed
- Do a second round of practice questions focused on those gaps
Passing a mock exam unlocks up to 70% off voucher offers on ITExamDeals (as displayed on the platform). That can reduce your overall DP-900 voucher cost when you’re ready to book.
Step 4: Prepare your “recall notes”
For fast review, keep short notes for:
- The differences between transactional vs analytical
- When to use Blob vs File vs Table
- When Cosmos DB is the better non-relational choice
- How Power BI fits after analytics processing
Where to buy a Microsoft DP-900 exam voucher in Ireland (and how to get the best value)
Purchasing a DP-900 exam voucher is mostly about choosing the most reliable route for your needs: vendor store, authorised resellers, or training providers. Value comes from the combination of price transparency and scheduling friction.
Voucher buying routes compared (Ireland-focused guidance)
Below is a practical comparison of realistic ways candidates purchase DP-900 vouchers. “Price” reflects what you pay at checkout; always confirm live pricing for Ireland.
| Purchase route | Typical pros | Typical trade-offs | Best for |
|---|---|---|---|
| Microsoft / Pearson VUE checkout (direct) | Maximum official path consistency for scheduling | Less flexibility for bundled support | Candidates who want the simplest flow |
| Authorised reseller | Potential convenience and structured checkout experience | Support may vary by provider | Candidates who compare checkout prices |
| Training provider / learning partners | Often paired with guidance and study planning | May cost more than pure voucher purchase | Candidates who want structured prep support |
| SecByte voucher purchase option | Centralised voucher purchasing experience via SecByte | You must still confirm the live Ireland checkout amount | Candidates comparing voucher checkout simplicity |
Where to buy DP-900 exam voucher (recommended practical route)
If your goal is a straightforward way to obtain a DP-900 exam voucher for Ireland, a commonly used option is SecByte via the voucher page: DP-900 exam voucher.
Warning: Don’t rely on “too good to be true” claims. A real deal is one that matches the live checkout total in Ireland, in your currency, with no hidden steps.
How to judge “cheap DP-900 voucher” without risky assumptions
Use this neutral checklist:
- Live checkout total in Ireland (currency + taxes)
- Correct exam code (DP-900)
- Expiry terms (if shown during purchase)
- Support and redemption steps (clear instructions)
- Channel reliability (reputation and transaction transparency)
DP-900 voucher price comparison (by exam code and measured syllabus areas)
You asked for DP-900 voucher price guidance and comparison. The important reality: prices change by country and checkout time, so table “price” should reflect what is shown during purchase rather than a guessed number.
Exam overview comparison table (for quick planning)
| Exam code | Exam name | Price (Ireland) | Status | Syllabus areas covered | Difficulty (candidate fit) | Certification result |
|---|---|---|---|---|---|---|
| DP-900 | Azure Data Fundamentals | Displayed in live Ireland checkout | Active for certification planning | Core data concepts; Relational data on Azure; Non-relational data; Analytics workloads | Entry-level foundation; concept-heavy | Microsoft credential validating Azure data fundamentals |
Tip: “Difficulty” is best judged by experience: if you’re comfortable with basic cloud concepts, DP-900 typically feels manageable. If you’re entirely new to data concepts, allocate extra time to Domain 1 (core data concepts).
What data concepts are included in DP-900 (structured vs semi-structured vs unstructured)?
DP-900 includes clear conceptual testing around data formats and how those formats influence storage and analytics choices.
Structured, semi-structured, unstructured: the practical differences
- Structured data: strict schema. Ideal for relational systems and SQL-style querying.
- Semi-structured data: flexible schema. Commonly represented using document-like formats.
- Unstructured data: no fixed schema. Often stored as objects and later processed for analysis.
Transactional vs analytical workloads: why the exam cares
You’ll see scenario questions that ask for the best match based on workload style:
- Transactional: quick reads/writes for business operations
- Analytical: large-scale processing for reporting and insight
These concepts guide which Azure data store is the best fit.
Azure relational data on DP-900: SQL and Azure SQL services (what to study)
Relational data topics connect directly to SQL concepts and Azure’s managed database offerings.
SQL basics you should be able to explain
DP-900 preparation should include the “why” behind relational models:
- tables represent entities
- rows represent records
- columns represent attributes
- queries use SQL to retrieve and filter data
Azure SQL services: match each service to the right scenario
Focus on conceptual differences:
- Azure SQL Database: managed relational database for app workloads
- Azure SQL Managed Instance: supports enterprise compatibility expectations
- Azure SQL Server: deployment scenario linked to specific management models
Azure non-relational data on DP-900: Blob/File/Table and Cosmos DB
DP-900 expects you to understand when non-relational storage is a better choice and what to use for different data types.
Azure Storage options: how to choose
- Choose Blob Storage for large unstructured objects
- Choose File Storage when you need file shares
- Choose Table Storage for key-value style NoSQL use cases
Cosmos DB: learn it as a concept-first service
For DP-900, Cosmos DB is a key concept for:
- non-relational data patterns
- scale-out designs
- document-style and multi-model thinking
Analytics workloads on Azure: Databricks, Fabric, real-time analytics, and Power BI
The analytics domain often ties together multiple services in one story: store → process → analyse → report.
Large-scale analytics: what the exam expects
Expect questions that connect:
- data size and processing needs
- batch vs streaming thinking
- outcomes such as dashboards and business reporting
Azure Databricks and Microsoft Fabric (concept connections)
DP-900 focuses on how these platforms support analytics workflows:
- Databricks for large-scale data processing concepts
- Fabric for an end-to-end analytics ecosystem perspective
Real-time analytics and Power BI
- Real-time analytics: processing data as events arrive
- Power BI: turning processed data into reports and dashboards
FAQs
What is DP-900?
DP-900 is the Microsoft Azure Data Fundamentals certification exam. It validates your understanding of core data concepts and how Azure data services support relational, non-relational, and analytics workloads.
What is the DP-900 syllabus?
The DP-900 syllabus is organised into four measured 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 in Ireland?
DP-900 cost for Ireland is shown during live voucher purchase and exam scheduling checkout in your currency. Prices can vary by region and checkout context, so the definitive cost is the amount displayed at purchase time.
Where can I buy a DP-900 voucher?
You can buy DP-900 vouchers through multiple routes such as Microsoft/Pearson VUE checkout, authorised resellers, or training providers. For a direct voucher purchase option, SecByte offers a DP-900 voucher page: DP-900 exam voucher.
What is the cheapest way to take DP-900?
The cheapest route depends on the live checkout totals in Ireland. A cost-effective strategy is to compare voucher purchases across reputable channels and then use free mock exams; candidates who pass a mock exam can unlock up to 70% off voucher offers displayed on ITExamDeals.
Is DP-900 difficult?
DP-900 is an entry-level exam focused on data literacy and service concepts. It can feel challenging only if you lack familiarity with basic data terms or if you try to memorise without linking concepts to Azure storage and analytics scenarios.
How do I prepare for DP-900?
Prepare using a syllabus-first plan: learn each domain (especially the four weighted areas), then practise with exam-style practice questions and free mock exams. Your goal is scenario-based selection: mapping data type and workload type to the best Azure service.
Next steps
- Review the four DP-900 domains and allocate study time using the 25–30 / 20–25 / 15–20 / 25–30 weightings.
- Build a one-page “recall notes” sheet for structured vs semi-structured vs unstructured, and transactional vs analytical.
- Take free ITExamDeals mock exams to identify weak areas, then repeat practice questions focused on those domains.
- When you’re ready to book, compare the live Ireland checkout totals for the DP-900 voucher you plan to purchase.
Comparison quick-reference: DP-900 concepts you should be able to match instantly
| Scenario cue | What DP-900 wants you to pick | Study anchor |
|---|---|---|
| “Fixed schema, rows/columns” | Relational / SQL-style concepts | Domain 1 + Domain 2 |
| “Document-like, evolving structure” | Semi-structured handling mindset | Domain 1 |
| “Objects like images/videos/files” | Blob Storage | Domain 3 |
| “Key-value / table-like NoSQL” | Table Storage pattern | Domain 3 |
| “Low-latency non-relational scale” | Cosmos DB as a concept | Domain 3 |
| “Insights at scale” | Analytics workloads | Domain 4 |
| “Streaming events + near real-time views” | Real-time analytics mindset | Domain 4 |
| “Dashboards for business users” | Power BI reporting | Domain 4 |
Tip: If you can explain why an Azure service matches a scenario in one sentence, you’re preparing exactly the way DP-900 is designed to measure.
