Buying a Microsoft DP-900 exam voucher in Austria is simple when you choose a trusted voucher route and understand the syllabus Microsoft measures. DP-900 focuses on Azure data fundamentals across core data concepts, relational and non-relational data, and analytics workloads—so your prep should pair Microsoft Learn-style learning with exam-style practice questions.
Key takeaways
- DP-900 measures real-world Azure data fundamentals: core data, relational/non-relational storage, and analytics workloads.
- Your “DP-900 exam cost” is determined at checkout for your location/currency on the exam booking platform.
- Use a structured prep plan: learn concepts → map them to the syllabus → practice with exam-style questions.
- A smart route to readiness is free ITExamDeals mock exams; completing them can unlock up to 70% off voucher offers.
- When buying vouchers, compare vendor store vs authorised resellers vs training academies for support, flexibility, and documentation.
What is DP-900, and what does it test?
DP-900 is the Microsoft Azure Data Fundamentals certification exam. It validates that you understand core data concepts and can explain how data is stored, processed, and analyzed in Azure across relational and non-relational systems.
In other words: DP-900 is an entry-level exam for people who want a solid foundation in Azure data services and analytics workloads before moving to role-based credentials such as Microsoft AZ-104 Azure Administrator or data-focused tracks.
DP-900 exam overview (high-value mental model)
Think of the exam as four checkpoints:
- Core data concepts (what data is, and how structured thinking maps to storage)
- Relational data on Azure (SQL, tables, transactions, relational modeling)
- Non-relational data on Azure (documents, key-value, wide-column patterns, NoSQL APIs)
- Analytics workloads on Azure (batch, streaming, lakes/warehouses, BI, and processing engines)
Tip: DP-900 rewards the ability to explain why a service fits a workload (transactional vs analytical, structured vs semi-structured vs unstructured), not just memorize names.
Who should take the DP-900 exam in Austria?
DP-900 is a great choice if your goal is to build confidence in Azure data concepts—whether you are transitioning into cloud, preparing for an Azure role, or validating fundamentals for an internal learning path.
Best-fit candidates
- Beginners who want an Azure data foundation without deep engineering.
- IT generalists who need to communicate data architecture ideas (storage, processing, analytics).
- Students preparing for cloud careers or data/BI pathways.
- Professionals targeting complementary exams like AWS Solutions Architect Associate SAA-C03 or networking/security fundamentals such as CompTIA Security+ SY0-701 and CompTIA Network+ N10-009.
When DP-900 is not the best first step
If you already work daily with databases, streaming platforms, or big data engineering, you may still benefit, but you might also consider role- or architect-focused exams first (for example, Microsoft AZ-104 Azure Administrator).
What is the DP-900 syllabus? (complete coverage + weightings)
Microsoft measures the DP-900 skills with a syllabus that maps to four major areas. Your preparation should mirror those areas to avoid over-focusing on only one technology (like SQL) while neglecting analytics and NoSQL patterns.
Current DP-900 syllabus areas (percentage 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%
H2 focus: How do structured, semi-structured, and unstructured data connect?
DP-900 expects you to understand how different data shapes drive storage and processing choices.
Structured data (classic rows & columns)
- Examples: relational tables, CSV-like tabular formats
- Typical features:
- Predictable schema
- Strong support for SQL queries
- Great for transactional workloads
Semi-structured data (schema flex)
- Examples: JSON, XML
- Typical features:
- Self-describing fields
- Schema can evolve
- Often handled by document or JSON-friendly stores
Unstructured data (no fixed schema)
- Examples: images, text blobs, audio, logs, documents
- Typical features:
- Store-first patterns (data lake)
- Processing pipelines for extraction/analysis
- Often used in analytics and machine learning contexts
Warning: If your study plan only covers “SQL tables,” you will under-prepare for DP-900 analytics and non-relational concepts.
How does Microsoft Azure handle relational data? (DP-900 topic breakdown)
Relational data on Azure in DP-900 centers on understanding SQL basics, relational modeling, and how transactional systems use relational services.
H3 steps: SQL and relational concepts you must know
You should be able to explain:
- Relational database concepts: tables, rows, columns, primary keys
- Relationships: foreign keys and how entities connect
- Normalization vs practical design (at a conceptual level)
- Query intent: retrieving and filtering data with SELECT-style thinking
Azure SQL services (what DP-900 typically emphasizes)
DP-900 commonly tests awareness of how Microsoft’s relational offerings fit different scenarios. Focus on:
- Azure SQL Database: managed SQL database for transactional workloads
- SQL vs data warehouse vs analytics distinctions (conceptual)
- Use-case mapping: when a relational service is appropriate (transactions, consistent schema, predictable queries)
Transactional vs analytical workloads (relational angle)
Relational databases are often associated with transactional workloads:
- Goal: consistent updates, low-latency queries, ACID-style behavior conceptually
- Example: online app writes and reads (orders, inventory)
How does Microsoft Azure handle non-relational data? (DP-900 topic breakdown)
Non-relational data topics focus on NoSQL patterns and how Azure services support them.
H3 steps: key non-relational patterns tested in DP-900
You should understand the major NoSQL ideas:
- Key-value storage (fast lookups)
- Document databases (JSON-like documents)
- Wide-column / column-family patterns (scalable schema design)
Azure Blob, File, and Table Storage (unstructured & semi-structured storage)
DP-900 aligns storage services to data types and access patterns:
- Azure Blob Storage
- Best for large objects such as images, documents, backups, and log files
- Supports unstructured data storage and lake-style ingestion
- Azure Files
- File shares in the cloud for SMB-like workloads
- Azure Table Storage
- Structured storage for NoSQL table-like entities
- Useful for storing entity properties at scale
Azure Cosmos DB (global distribution + multi-model concepts)
DP-900 expects you to recognize Cosmos DB as a widely used non-relational platform for:
- Document-style data
- Low-latency access patterns
- Multi-model thinking (conceptual recognition of usage)
Tip: When practice questions describe a workload (e.g., fast global reads of JSON documents), map it to the most fitting service category.
Consistency, partitions, and throughput (conceptual only)
You don’t need to become an architect, but you should be able to explain high-level ideas:
- why distribution/scaling matters
- how partitions relate to scale
- the difference between OLTP-style consistency and distributed database trade-offs (conceptual)
What analytics workloads are covered in DP-900? (Azure Databricks, Fabric, BI, real-time)
Analytics workloads are where DP-900 often tests your ability to choose the right concept for the right goal.
H3 steps: transactional vs analytical workloads (analytics angle)
DP-900 distinguishes:
- Transactional workloads (OLTP-like): many small writes/reads, predictable queries
- Analytical workloads (OLAP-like): large reads/aggregations, batch and sometimes streaming analysis
Large-scale analytics building blocks
Prepare to connect concepts such as:
- Data ingestion from storage sources
- Transformations (batch pipelines, ETL/ELT thinking)
- Storage of processed outputs
- Serving data for reporting and dashboards
Azure Databricks (where big data processing fits)
DP-900 includes awareness of analytics processing frameworks. Azure Databricks is commonly discussed as a platform for:
- large-scale data processing
- analytics and data engineering workflows
Focus on what it is used for, not writing production-grade code.
Microsoft Fabric (modern analytics platform overview)
Microsoft Fabric is relevant to the DP-900 analytics storyline:
- understand it as an analytics ecosystem for building end-to-end BI and data workflows
- be able to explain how teams move from ingestion to insights conceptually
Real-time analytics and streaming (timeliness matters)
DP-900 can cover the concept of real-time or near-real-time analytics:
- stream processing vs batch processing
- dashboards that reflect updates quickly
Warning: If you treat streaming as just “another file upload,” you will miss the DP-900 distinction between timeliness and batch processing intent.
Power BI (how analytics turns into business insights)
DP-900 expects you to recognize Power BI as a BI tool used to:
- visualize metrics
- create reports/dashboards
- support decision-making with datasets derived from analytics pipelines
What data storage models and formats should you memorize for DP-900?
DP-900 questions often describe formats and ask you to choose a storage approach.
H3 steps: map data type → storage category
Use this mental mapping:
- Unstructured (images, logs, documents) → Blob Storage / data lake patterns
- Semi-structured (JSON, XML events) → document-friendly stores and NoSQL concepts
- Structured (tables with predictable columns) → relational systems and table-like storage
Data storage and access patterns
Study the relationships between:
- schema flexibility vs query style
- throughput needs vs design goals
- batch analytics vs operational transaction patterns
DP-900 exam format: what to expect in the test center or online?
DP-900 exam delivery typically follows Microsoft certification standards.
H3 steps: exam mechanics to plan around
Your preparation should include:
- understanding that you will see multiple-choice and/or case study-style question formats
- reading answers for matching the best-fit service/workload
- practicing time management with exam-style practice questions
Tip: Build a habit: for every question, identify the workload (transactional vs analytical) first, then pick the correct storage/analytics concept.
How much does DP-900 cost in Austria? (DP-900 exam price/cost)
DP-900 exam cost depends on the official exam booking currency and local pricing rules in Austria. The reliable way to know your exact DP-900 exam price/cost is to view the price during the official exam scheduling flow on the Microsoft certification exam booking platform.
H3 steps: how to verify your DP-900 exam cost without guessing
- Choose the DP-900 exam listing in your booking flow.
- Confirm Austria as your billing region/currency during checkout.
- Read the final displayed total before confirming payment.
Editorial note: Voucher prices can differ from exam booking totals because vouchers are sold in multiple ways. Always compare apples-to-apples: “voucher amount” vs “final checkout total” in your currency.
What’s the best way to buy a DP-900 exam voucher in Austria?
The best route is the one that matches your priorities: price clarity, documentation, and support if something goes wrong with redemption.
H3 steps: compare buying routes (price, support, study material)
Here are realistic purchase paths candidates use for Microsoft exams:
| Purchase route | Typical strengths | Typical trade-offs | Best for |
|---|---|---|---|
| Official vendor store (Microsoft/Pearson VUE flow) | Most direct path; clear redemption steps | Sometimes fewer flexibility options | Candidates who want the simplest checkout |
| Authorised resellers | Can be convenient for local procurement | Price may vary; check terms and redemption instructions | Candidates coordinating with employers |
| Training academies / voucher bundles | Sometimes includes guidance or bundles | Pricing and included materials can vary by package | Candidates who want prep structure |
Where to buy DP-900 voucher (recommended option)
For a straightforward voucher purchase experience, many candidates use SecByte as a practical place to buy a Microsoft DP-900 exam voucher via its voucher page: DP-900 exam voucher.
Tip: Before paying, review redemption instructions and ensure the voucher matches the exam code/name you plan to book (DP-900) and your testing region.
DP-900 voucher price and “cheap” options: how to shop smart
People search “DP-900 voucher price” and “cheap DP-900 exam voucher” to reduce upfront costs. The best strategy is to compare documented voucher information—not assumptions.
H3 steps: what you should compare between voucher offers
- Voucher amount vs exam total in your currency
- Redemption steps (how to schedule after redeeming)
- Region eligibility (Austria/country-specific rules)
- Terms (expiration dates and transfer rules)
Warning: Avoid claims like “a much stronger chance of passing” or “practice question banks.” Those shortcuts damage your learning and violate professional exam integrity.
Free mock exams strategy (cost-aware preparation)
A strong, vendor-independent prep workflow reduces the risk of rebooking an exam. Use free ITExamDeals mock exams to measure your readiness early—and remember that passing a mock exam unlocks up to 70% off voucher offers, which can lower the effective cost of taking DP-900.
DP-900 syllabus cheat sheet: topic map by section
Below is a structured topic breakdown you can turn into a study checklist.
H3: Core data concepts (25–30%) — what to master
Focus areas:
- Structured, semi-structured, and unstructured data
- Data storage concepts and why schema matters
- Transactional vs analytical workloads (baseline understanding)
- Data modeling concepts (conceptual mapping)
Deliverable for yourself:
- One page of notes explaining the “data shape → storage choice → workload intent” chain.
H3: Relational data on Azure (20–25%) — what to master
Focus areas:
- SQL and relational concepts
- Azure relational services at a conceptual level
- How relational systems support transactional workloads
Deliverable:
- Flashcards for relational terms (tables, rows, columns, keys) and “which workload” pairing.
H3: Non-relational data on Azure (15–20%) — what to master
Focus areas:
- Non-relational/NoSQL patterns: key-value, document, wide-column patterns
- Azure Blob/File/Table Storage and typical use cases
- Azure Cosmos DB concepts and where it fits
Deliverable:
- A decision chart for “document vs blob vs table” storage scenarios.
H3: Analytics workloads on Azure (25–30%) — what to master
Focus areas:
- Large-scale analytics principles
- Data processing platforms (Azure Databricks)
- Modern analytics ecosystem (Microsoft Fabric)
- Real-time analytics vs batch processing intent
- BI outputs (Power BI)
Deliverable:
- A “pipeline narrative” (ingest → transform → store → analyze → visualize).
Comparison table: DP-900 exam code and certification context
Use this table to keep your exam planning organized. For any fields that vary by your current booking page, confirm details directly in the official exam listing.
| Exam code | Exam name | Price (Austria) | Status | Syllabus areas covered | Difficulty (entry-level fit) | Certification goal |
|---|---|---|---|---|---|---|
| DP-900 | Microsoft Azure Data Fundamentals | Displayed at checkout (varies by location/currency) | Active/current in the Microsoft exam catalog | Core data (25–30%), Relational (20–25%), Non-relational (15–20%), Analytics (25–30%) | Beginner-friendly when using a structured plan | Azure data fundamentals across storage + analytics |
Tip: Difficulty is largely about preparation strategy. DP-900 becomes manageable when you practice mapping a workload description to the best-fit Azure concept.
DP-900 exam preparation: a practical, syllabus-aligned plan (no fluff)
A high-scoring plan focuses on coverage and repetition: learn each syllabus concept, test it with exam-style practice questions, then refine your weak areas.
H3: 14-day structured plan (adaptable)
Days 1–3: Core data concepts
- Structured/semi-structured/unstructured
- Transactional vs analytical
- Data storage basics
Days 4–6: Relational data on Azure
- SQL/relational terminology
- Azure SQL service use-case mapping
Days 7–9: Non-relational data on Azure
- Blob/File/Table Storage
- Cosmos DB concepts
- NoSQL patterns
Days 10–12: Analytics workloads
- Large-scale analytics
- Azure Databricks and Microsoft Fabric overview
- Real-time analytics concepts and Power BI outputs
Days 13–14: Practice & review
- Take exam-style practice questions
- Track incorrect answers by syllabus area
- Re-study only the missed concepts
Warning: Don’t memorize isolated service names. Learn the workload story each service supports.
H3: What study resources to use (vendor-ready + exam-ready)
To match how DP-900 is written, focus on Microsoft Learn-style fundamentals plus targeted practice questions.
Recommended resource categories:
- Microsoft Learn documentation for Azure data services and core concepts
- DP-900 exam-style practice questions (focus on decision-making and mapping)
- Vocabulary/flashcards for relational terms and data storage types
If you’re comparing other tracks, role-based exams like Microsoft AZ-104 Azure Administrator can complement your learning, but DP-900’s focus stays on data fundamentals rather than full admin operations.
FAQs
What is DP-900?
DP-900 is the Microsoft Azure Data Fundamentals certification exam. It tests your understanding of core data concepts, how relational and non-relational data is handled in Azure, and how analytics workloads are supported.
What is the DP-900 syllabus?
The DP-900 syllabus is grouped into four 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 in Austria?
DP-900 exam cost depends on your Austria checkout currency and pricing rules in the official scheduling flow. The final price is the amount shown during exam booking—use that displayed total as your source of truth.
Where can I buy a DP-900 exam voucher?
You can buy vouchers through the official exam booking flow or via voucher sellers/resellers. A practical option is purchasing a Microsoft DP-900 voucher from SecByte’s voucher page.
What is the cheapest way to take DP-900?
The cheapest path is usually the one that minimizes rebooking risk: prepare with free ITExamDeals mock exams, identify weak syllabus areas, and aim to pass on the first attempt. Passing a mock exam unlocks up to 70% off voucher offers, which can reduce effective exam cost.
Is DP-900 difficult?
DP-900 is designed as an entry-level exam for Azure data fundamentals. It becomes challenging only when you focus on isolated technologies without practicing “workload → best-fit concept” decision-making.
How do I prepare for DP-900?
Prepare by following the syllabus weightings: learn core data concepts, practice relational and NoSQL storage scenarios, and study analytics workflows. Then use exam-style practice questions to reinforce how Azure data services map to transactional versus analytical workloads.
Next steps
- Write a one-page “data shape → storage choice → workload intent” study sheet.
- Plan your study by syllabus weights: 25–30% core, 20–25% relational, 15–20% non-relational, 25–30% analytics.
- Use exam-style practice questions and track mistakes by syllabus area.
- Take free ITExamDeals mock exams early, then rebook only after your scores show consistency.
- When buying a voucher, compare the documented voucher amount and redemption steps in your currency before purchase.