Buying a Microsoft DP-900 exam voucher in Norway is straightforward when you know what the test covers and how pricing is displayed at booking. DP-900 validates foundational Azure data concepts across relational, non-relational, and analytics workloads—so you can study efficiently, choose the right voucher route, and take the exam with confidence.
Key takeaways
- DP-900 (Microsoft Azure Data Fundamentals) is an entry-level certification focused on foundational data and analytics concepts.
- The DP-900 syllabus is weighted toward Analytics workloads (25–30%), Core data concepts (25–30%), Relational data (20–25%), and Non-relational data (15–20%).
- Structured vs semi-structured vs unstructured data, transactional vs analytical workloads, and Azure services like Azure SQL, Storage, Cosmos DB, Databricks, Fabric, and Power BI are central.
- For voucher buying, compare realistic routes (Microsoft exam store vs authorised resellers vs training providers) based on price transparency, support, and delivery.
- Use free ITExamDeals mock exams to build exam-style confidence—passing a mock exam can unlock up to 70% off voucher offers.
What is Microsoft DP-900, and what does the exam test?
Microsoft DP-900 is the Azure Data Fundamentals exam. It measures whether you understand foundational data concepts and can map those concepts to common Azure data services across:
- Relational data (SQL and tabular modeling)
- Non-relational data (NoSQL document/graph/key-value)
- Analytics workloads (batch, BI, real-time, and large-scale processing)
DP-900 is designed for learners who want a practical understanding of how data is shaped, stored, and used—not for deep administration.
DP-900 measured skills (high-level)
By design, the exam emphasizes both conceptual understanding and correct terminology:
- How data types relate to storage choices
- How workload types differ (transactional vs analytical)
- How analytics pipelines and BI tools consume and present data
- How Azure data services fit together for common scenarios
Tip: If you can explain why an app uses transactional storage but a reporting system uses analytics platforms, you’re already speaking the same language as DP-900.
DP-900 syllabus overview with weightings (what you should study first)
To plan effectively, treat the DP-900 syllabus as a coverage map. The current Microsoft Learn study guide breaks skills into the four major domains below.
Complete syllabus weightings (DP-900)
- 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 this maps to the topics you’ll see
The exam’s topic style typically tests “choose the best option” understanding. You’ll be asked to recognize which data approach fits:
- a workload pattern (transaction vs analytics)
- a data shape (structured vs semi-structured vs unstructured)
- a platform need (SQL querying vs NoSQL scaling vs lakehouse/BI)
Which data concepts are covered in DP-900 (structured, semi-structured, unstructured)?
DP-900’s Core data concepts domain teaches the vocabulary and mental models behind modern data platforms.
Structured data (tabular, schema-first)
Structured data is typically:
- Stored in rows and columns
- Managed with a schema (clear data types, constraints)
- Queried efficiently using SQL
Examples you should be able to describe:
- Customer records, orders, inventory tables
Semi-structured data (flexible schema)
Semi-structured data often includes:
- Tags/labels that describe meaning
- A schema that can evolve
- Common formats such as JSON or XML
DP-900 expects you to connect semi-structured data with ingestion and analytics scenarios where a fixed schema isn’t always available at the start.
Unstructured data (no fixed schema)
Unstructured data typically includes:
- Documents, images, audio, video, logs
- No rigid table structure
DP-900 often tests which Azure storage and processing approach fits unstructured payloads (especially when the goal is later analytics or indexing).
Data storage fundamentals you must know
Understand that storage choices depend on both:
- How data is produced (events, files, documents)
- How data is used (search, reporting, ML, stream processing)
Warning: Avoid treating “storage” as one thing. DP-900 separates where data lives from how it’s queried and analyzed.
What is transactional vs analytical workload, and why does it matter on Azure?
One of DP-900’s most important conceptual distinctions is transactional vs analytical workloads.
Transactional workloads (OLTP-style thinking)
Transactional workloads are usually:
- Customer-facing or application-critical
- Optimized for writes and low-latency reads
- Interested in the latest state of the data
Relational databases and certain NoSQL options commonly serve this model.
Analytical workloads (OLAP-style thinking)
Analytical workloads are usually:
- Built for reporting, BI, and insights
- Optimized for scans, aggregations, and transformations
- Focused on historical trends and large-scale querying
Analytics on Azure typically involves data lakes/lakehouses, distributed processing, and BI layers.
DP-900 mapping you’ll use in questions
When a question mentions:
- “real-time dashboards,” “streaming events,” or “quick insight” → think real-time analytics and BI consumption.
- “batch processing,” “large historical datasets,” or “data exploration” → think analytics pipelines (including Databricks/Fabric concepts).
What is relational data on Azure in DP-900 (SQL and Azure SQL services)?
The Relational data on Azure domain focuses on SQL fundamentals and Azure’s relational offerings.
Core SQL and relational concepts
DP-900 typically checks foundational understanding such as:
- Tables representing entities
- Rows as records and columns as attributes
- Primary keys (unique row identity)
- Foreign keys (relationships between tables)
- Relationships support join-based querying
Be ready to recognize that relational modeling helps when you need consistent structure and strong querying.
Relational querying style
You should recognize the purpose of SQL operations:
- Filtering, selecting, and ordering
- Aggregations like sums and counts
- Joins for combining related tables
Azure SQL services to recognize conceptually
DP-900 emphasizes knowing Azure SQL services at a fundamentals level—how they are positioned for relational data storage and querying in typical cloud architectures.
When questions mention Azure SQL, they are generally probing:
- using SQL for relational querying
- selecting the right service in a scenario (based on the kind of relational workload)
Tip: Even without deep implementation details, DP-900 expects you to connect “relational workload + SQL querying” to Azure SQL concepts.
How does DP-900 explain non-relational data on Azure (Cosmos DB, NoSQL)?
The Non-relational data domain tests NoSQL concepts and how Azure supports scalable data models.
Common non-relational models you must recognize
DP-900 commonly expects you to understand different NoSQL approaches such as:
- Document data modeling (JSON-like documents)
- Key-value patterns
- Column-family or wide-column concepts
- Graph patterns (relationships as first-class)
Azure Cosmos DB (what to know at fundamentals level)
DP-900 includes Azure Cosmos DB as a major example of non-relational storage.
At the exam-prep level, you should connect Cosmos DB with:
- NoSQL data modeling
- Use cases requiring scalable data access
- Applications where flexible document structures are beneficial
Why non-relational workloads are different
Non-relational workloads often require:
- flexible schema evolution
- scaling patterns suited to modern app data growth
- fast access patterns that match application queries
Warning: Don’t map every data requirement to SQL. DP-900 distinguishes when relational models fit well vs when flexible NoSQL approaches are better.
What storage services does DP-900 cover (Blob, File, Table)?
In the non-relational and core storage areas, DP-900 covers Azure storage categories with a fundamentals-first approach.
Azure Blob Storage (for files and unstructured data)
Azure Blob Storage is strongly associated with:
- storing large amounts of unstructured data
- data lake-style scenarios
- separating storage from later analytics processing
Azure File Storage (SMB-style shares)
Azure File Storage maps to file share patterns where:
- applications or systems expect shared files
- data needs to be accessible as file shares in cloud workflows
Azure Table Storage (key/value + schema-less patterns)
Azure Table Storage represents storage suited to:
- structured data stored without a heavy relational database schema
- scalable key-based access patterns
How DP-900 expects you to choose a storage type
In practice exam questions, you’ll often see cues like:
- “log files,” “documents,” “media files” → Blob-like storage
- “file shares,” “SMB access” → File Storage-like patterns
- “key-based lookups,” “simple entity storage” → Table-like storage
How does DP-900 cover analytics workloads on Azure (Databricks, Fabric, real-time, Power BI)?
The Analytics workloads on Azure domain is the largest single block at 25–30%. This is where most candidates gain confidence by connecting data shapes and workload types to analytics tools.
Large-scale analytics and data processing
DP-900 expects a fundamentals understanding of:
- ingesting data at scale
- transforming datasets for analytics
- enabling query and insights over large volumes
Azure Databricks (what the exam cares about)
For DP-900, Azure Databricks is typically presented as a platform used to support data engineering and analytics workloads.
Know it at a conceptual level:
- large-scale processing
- pipeline-style workflows for preparing and transforming data
Microsoft Fabric (analytics experience layer)
Microsoft Fabric is a modern analytics platform that brings together data, engineering, and reporting experiences.
On DP-900-style questions, Fabric is usually about recognizing that modern analytics stacks can unify:
- data movement
- processing
- business reporting
Power BI (BI and consumption)
Power BI is a key BI tool for visualization and reporting.
DP-900 expects you to connect:
- cleaned/processed datasets → dashboards and reports
- the BI layer to stakeholder consumption and decision-making
Real-time analytics (streaming vs batch)
DP-900 also covers real-time analytics concepts.
You should understand:
- streaming event data
- near-real-time processing and reporting patterns
- scenarios where you want updated insights quickly
Tip: When you see “events arriving continuously,” DP-900 pushes you toward real-time analytics concepts rather than pure batch-only thinking.
DP-900 exam overview: format, difficulty, and how the test is scored
DP-900 is built for candidates who want a practical data fundamentals credential. It’s generally considered beginner-friendly because it focuses on concepts rather than deep product configuration.
What exam questions look like
Expect scenario-based, vendor-independent understanding checks. Questions commonly test:
- the right choice of data model or storage approach
- the correct interpretation of workload patterns
- mapping Azure services to data types and analytics needs
Exam format and logistics
The exam is delivered through Microsoft’s exam delivery program (commonly via approved testing platforms in many regions). The exact number of questions, passing score rules, and current scheduling details can change over time.
Use the official exam details page during booking to confirm:
- question count
- duration
- supported languages
- retake policies
Warning: Exam policies and logistics can change. Always rely on the live exam details shown during scheduling for the current rules.
Certification status and what it signals
DP-900 earns you a Microsoft certification credential that shows you understand data concepts across Azure. It’s an excellent foundational step before deeper Azure roles and data engineering tracks.
Who should take DP-900 (and which candidates benefit most)?
DP-900 is ideal when you want a broad understanding of Azure data without needing to be a database administrator.
Typical profiles include:
- New cloud learners entering data and analytics paths
- Developers who need to understand data platforms at a foundational level
- Business analysts and BI stakeholders wanting Azure data vocabulary
- IT professionals preparing for more advanced Azure data certifications
- Candidates transitioning from on-prem systems to cloud data concepts
If you’re also studying adjacent certs like Microsoft AZ-104 Azure Administrator or even broader networking/security tracks (for example CompTIA Network+ or Security+), DP-900 complements that journey by focusing specifically on data fundamentals.
DP-900 exam preparation plan (a practical, syllabus-first approach)
A strong DP-900 preparation plan is based on coverage and practice. Use the syllabus weightings to decide how much time to spend on each area.
Step 1: Build a 10–14 day study schedule (example)
Use this framework as a baseline and adjust for your background:
- Days 1–3 (Core data concepts + storage fundamentals): structured/semi/unstructured, storage categories, data lifecycle vocabulary.
- Days 4–6 (Relational + SQL concepts): tables, keys, joins, relational modeling, Azure SQL service positioning.
- Days 7–9 (Non-relational + Cosmos DB): NoSQL models, document/key patterns, flexible schema thinking.
- Days 10–12 (Analytics workloads): Databricks-style processing concepts, Fabric analytics experience, Power BI consumption, real-time vs batch.
- Days 13–14 (Practice + review): exam-style practice questions and focused revision of weak areas.
Step 2: Use a “concept card” method for DP-900
For each major service (Azure Blob, File, Table, Cosmos DB, Databricks, Fabric, Power BI), write:
- What data shape it fits
- What workload type it supports
- What the question is likely to ask
This reduces memorization and improves selection accuracy.
Step 3: Practice with exam-style practice questions
Instead of only reading, use practice tests to:
- identify which syllabus domain you’re weak in
- learn how scenarios are worded
- build speed and confidence
Step 4: Review mistakes with a “why” checklist
When you miss a question, record:
- the concept you misread (structured vs semi-structured)
- the workload mismatch (transactional vs analytics)
- the service mismatch (SQL vs NoSQL)
Then revisit that one concept and reattempt similar questions.
Tip: Passing a mock exam can unlock up to 70% off voucher offers—so treat mock exams as both learning tools and cost-savers.
How much does DP-900 cost in Norway (and why prices vary)?
DP-900 exam cost depends on the live price displayed at booking and the country/region you select in the scheduling flow. Microsoft and testing channels can show region-specific pricing.
Because pricing can change, this guide focuses on how to identify the correct current figure rather than quoting a single number that may be outdated.
What to check before buying
When you’re ready to book your DP-900 exam:
- Confirm the exam code and language
- Confirm the country/region in the scheduling flow
- Confirm any additional taxes or surcharges that appear at checkout
DP-900 comparison table (exam code, name, price, status, syllabus areas)
Below is a planning table for candidates comparing credentials and ensuring they’re studying the right exam. For price, use the live booking price because it varies by region and can update.
| Exam code | Exam name | Price (Norway) | Status | Syllabus areas covered | Difficulty | Certification |
|---|---|---|---|---|---|---|
| DP-900 | Microsoft Azure Data Fundamentals | Varies by region; view live price at booking | Active exam listing | Core data concepts (25–30%), Relational (20–25%), Non-relational (15–20%), Analytics (25–30%) | Beginner-friendly (foundational) | Azure Data Fundamentals |
Where the “difficulty” comes from
DP-900 is hard only when candidates try to memorize services without understanding why a service is chosen for a workload.
Warning: If you focus only on definitions, you’ll miss scenario-based logic. DP-900 rewards understanding data/workload fit.
Where to buy a DP-900 exam voucher in Norway (best route for value and support)
Buying a DP-900 exam voucher in Norway can be done through the official exam store, authorised resellers, or training providers. The “best” route depends on whether you want maximum price transparency, fast voucher delivery, or added assistance.
DP-900 voucher buying routes (realistic options)
| Purchase route | Typical strengths | Typical trade-offs | Best for |
|---|---|---|---|
| Official Microsoft exam store / booking flow | Highest transparency, direct booking control | You handle the full booking process | Candidates who prefer a single-source flow |
| Authorised reseller or voucher distributor | Sometimes simpler voucher procurement workflow | You must ensure the voucher matches the correct exam code/region | Candidates who want a voucher first then book |
| Training providers (voucher + study support bundles) | Structured guidance, exam-style practice paths | Bundles may not be the lowest cost | Candidates who benefit from a learning path |
SecByte DP-900 voucher option (single recommended link)
If you prefer a voucher-first workflow, SecByte lists a DP-900 exam voucher for ordering: DP-900 exam voucher. Use it to match the exam code and proceed to scheduling using the voucher.
Tip: When you buy a voucher, confirm the voucher details (exam code, language availability, and how it will be redeemed during scheduling) before finalising your purchase.
How to get the best price for a DP-900 exam voucher (without hype)
Many candidates search for “cheap DP-900 exam voucher” or “DP-900 voucher price” because they want predictable costs. A realistic strategy is to focus on transparent variables you control:
- Book when live pricing is lowest for your region and time window (prices can change).
- Avoid mismatched exam codes—a wrong voucher creates rescheduling and extra costs.
- Use mock exams to unlock savings: passing a mock exam can unlock up to 70% off voucher offers.
- Compare the same redemption workflow: some vouchers require specific redemption steps or have region constraints.
Warning: Avoid guarantees like “a much stronger chance of passing” or discounted offers that aren’t transparent about voucher redemption. DP-900 testing is concept-based; your preparation matters.
DP-900 topic breakdown (detailed, exam-aligned checklist)
Use this checklist to verify you understand every major DP-900 subject area.
Core data concepts (25–30%) checklist
- Structured data: tables, schema, tabular modeling
- Semi-structured data: formats like JSON/XML, flexible schema concepts
- Unstructured data: files/logs/media without fixed schema
- Data storage basics: storing data for later processing
- Transactional vs analytical workloads
- Knowing how workload goals influence design choices
Relational data on Azure (20–25%) checklist
- Relational model basics: tables, rows, columns
- Keys: primary key and foreign key concepts
- SQL fundamentals: filtering, aggregation, joins
- Azure SQL service positioning for relational workloads
Non-relational data on Azure (15–20%) checklist
- Non-relational models: document/key-value/table/graph (fundamental understanding)
- Azure Cosmos DB: NoSQL and scalable data model concepts
- Flexibility in schema evolution
- Typical non-relational use patterns
Analytics workloads on Azure (25–30%) checklist
- Large-scale analytics concepts
- Azure Databricks: data processing and analytics platform concepts
- Microsoft Fabric: unified analytics experience concepts
- Real-time analytics: streaming vs batch thinking
- Power BI: BI consumption, reporting and dashboards
Recommended study resources (vendor-independent, exam-focused)
To prepare effectively, use resources that explain concepts clearly and include exam-style practice questions.
1) Microsoft Learn study guide (primary reference)
Start with the official Microsoft Learn DP-900 study guide to:
- confirm the syllabus domains
- understand how Microsoft frames key topics
- align your study time with the weightings
2) Free ITExamDeals mock exams (practice-first learning)
Use free ITExamDeals mock exams to:
- simulate exam conditions
- practice scenario-based selection
- track weak areas by domain
Mock exams also support cost planning because passing a mock exam unlocks up to 70% off voucher offers.
3) Exam-style practice question sets
For the best results, prioritise:
- question sets that cover every domain
- explanations that teach the why, not just the what
Tip: Build your final week around revisiting missed concepts and retaking domain-focused practice sets.
FAQs
What is DP-900?
DP-900 is the Microsoft Azure Data Fundamentals exam. It tests foundational knowledge of data concepts and how those concepts map to Azure relational, non-relational, and analytics workloads.
What is the DP-900 syllabus?
The DP-900 syllabus is organized into four main 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 Norway?
DP-900 exam cost depends on the live price displayed during booking for your selected region/country. Pricing can change, so the most accurate figure is the one shown at checkout when you schedule your exam.
Where can I buy a DP-900 exam voucher?
You can buy a DP-900 exam voucher through the official exam store/booking flow, authorised resellers, or training providers. A voucher-first option is also available from SecByte via the DP-900 listing link shown in this guide.
What is the cheapest way to take DP-900?
The cheapest path is usually the one that combines the live voucher price for your region with savings unlocked by practice. Using free mock exams (and passing one) can unlock up to 70% off voucher offers.
Is DP-900 difficult?
DP-900 is designed for foundational learning, so it’s generally beginner-friendly compared with role-based exams that require deep configuration skills. Difficulty typically comes from scenario questions that require you to distinguish workload type and data shape.
Next steps
- Confirm the current DP-900 exam details (duration, delivery format, and live price) during booking.
- Use the Microsoft Learn DP-900 study guide to build a schedule aligned to the 25–30/20–25/15–20/25–30 weightings.
- Take free ITExamDeals mock exams to identify weak domains early.
- Purchase your DP-900 exam voucher using the route that best matches your preferred booking workflow.
- Recheck your voucher redemption steps and then finish with targeted practice on the domains you missed most.