Buying a Microsoft DP-900 exam voucher in Latvia is straightforward: choose a trusted voucher channel, confirm the exam code and region currency, and prepare using the DP-900 syllabus and Azure data fundamentals study paths. In this guide, you’ll get the full DP-900 topic breakdown (with weights), preparation plan, and a practical voucher buying checklist to help you find the best route for your time and budget.
Key takeaways
- DP-900 validates core Azure data concepts, relational vs non-relational data, and analytics workloads using services like Azure SQL, Storage, Cosmos DB, Databricks, Fabric, and Power BI.
- The current skills measured align to four areas: Core data concepts (25–30%), Relational data on Azure (20–25%), Non-relational data on Azure (15–20%), Analytics workloads on Azure (25–30%).
- Voucher price (DP-900 exam cost) varies by region and currency—always confirm the live fee for your location before checkout.
- The best “cheap DP-900 exam voucher” option is the one that matches your region, exam language/format, and provides clear order details.
- A strong prep method is DP-900 exam preparation with exam-style practice questions and mock testing—passing a mock exam can unlock up to 70% off voucher offers.
What is Microsoft DP-900 (Azure Data Fundamentals), and what does the exam measure?
If you want a certification that proves you understand how Azure handles data—from structured tables to unstructured files and analytics workloads—Microsoft DP-900 is the entry-level, fundamentals-focused choice.
DP-900 in one sentence
DP-900 measures how you reason about data in Azure: selecting the right storage type, understanding operational (transactional) vs analytical workloads, and recognizing when to use SQL, NoSQL, and analytics platforms.
What the four major syllabus areas test
Microsoft’s current exam outline groups skills into four categories (percent ranges are designed for practical weighting, not memorization):
- Core data concepts (25–30%)
- Relational data on Azure (20–25%)
- Non-relational data on Azure (15–20%)
- Analytics workloads on Azure (25–30%)
What to expect from DP-900 learning objectives
You’ll encounter concepts like:
- Structured, semi-structured, and unstructured data
- Data storage models and how Azure maps workloads to services
- Transactional vs analytical workloads (operational systems vs BI/analytics)
- SQL and relational data concepts
- Azure SQL and related relational services
- Azure Storage families: Blob, File, and Table Storage
- Azure Cosmos DB for large-scale NoSQL and global distribution concepts
- Large-scale analytics patterns and platforms
- Azure Databricks for data engineering and analytics
- Microsoft Fabric for lakehouse and BI analytics workflows
- Real-time analytics concepts
- Power BI reporting and dashboards
Tip: DP-900 is a “reasoning” exam. You don’t just name services—you match the data type + workload type to the best Azure option.
What is the DP-900 syllabus and how do the topics map to weights?
The DP-900 syllabus is organized to reflect real-world data design thinking: classify data, choose storage, understand relational vs non-relational patterns, and then apply analytics workloads.
Complete DP-900 syllabus with percentage weightings (skills measured)
Below is a clear breakdown that you can turn into a study plan.
| Syllabus area | Weight (approx.) | What you should be able to do |
|---|---|---|
| Core data concepts | 25–30% | Define data types, storage basics, structured vs semi-/unstructured, and map operational vs analytical workloads |
| Relational data on Azure | 20–25% | Explain relational data modeling concepts and recognize the role of Azure SQL services |
| Non-relational data on Azure | 15–20% | Distinguish NoSQL patterns and identify when to use Azure Storage (Blob/File/Table) and Azure Cosmos DB |
| Analytics workloads on Azure | 25–30% | Understand big data analytics, Azure Databricks, Microsoft Fabric, real-time analytics, and Power BI |
Topic breakdown you should study (high-confidence coverage)
1) Core data concepts (25–30%)
Focus on definitions and “which one fits” decisions:
- Structured data: fixed schema, table rows/columns (think relational tables)
- Semi-structured data: flexible schema (examples often include JSON/XML patterns)
- Unstructured data: no fixed schema (documents, images, audio/video)
- Data storage basics: how data is stored and retrieved
- Transactional workloads: operational systems (OLTP) that prioritize updates and consistent reads/writes
- Analytical workloads: BI and analytics (often OLAP patterns) that prioritize scanning/aggregations
- How data flows into analytics systems (batch vs streaming mindset)
2) Relational data on Azure (20–25%)
Learn relational vocabulary and map it to Azure SQL:
- Relational databases: tables, rows, columns
- Primary key/foreign key concepts (basic relational linking)
- SQL fundamentals (querying, filtering, joining as concepts)
- Schema-first thinking for relational data
- Azure SQL services and their role for structured workloads
3) Non-relational data on Azure (15–20%)
For NoSQL and storage-based scenarios, your goal is matching:
- Azure Blob Storage: large-scale object storage for unstructured data
- Azure File Storage: file shares for lift-and-shift patterns
- Azure Table Storage: key/value-like structured storage without classic relational tables
- Azure Cosmos DB: global distribution and NoSQL data modeling concepts
- How non-relational storage supports scale-out patterns
4) Analytics workloads on Azure (25–30%)
This section is where many candidates feel the “Azure breadth”:
- Large-scale analytics concepts (batch/ETL/ELT mindset)
- Azure Databricks: analytics and data engineering workflows
- Microsoft Fabric: analytics platform capabilities for lakehouse/BI style workflows
- Real-time analytics: recognizing streaming scenarios and low-latency thinking
- Power BI: dashboards, reports, and semantic modeling basics
Warning (common mistake): Candidates who memorize service names but can’t connect them to data type + workload typically struggle with DP-900’s practical scenarios.
Who should take the DP-900 exam in Latvia (and who should not)?
DP-900 fits best when your goal is foundational Azure data literacy, not deep engineering.
Best candidates for DP-900
DP-900 is ideal if you:
- Are preparing for Azure Administrator (AZ-104) and want data fundamentals first
- Work with data at a high level (analytics, reporting, BI, data governance)
- Need a baseline certification before moving toward Azure data engineering or analytics roles
- Have experience with databases but want an Azure-aligned view of data platforms
Candidates who may need more depth after DP-900
If you’re aiming for hands-on engineering, consider that DP-900 is fundamentals. After DP-900, you may later move toward role-based Azure data certifications (depending on your target job).
What is the DP-900 exam format, question style, and how should you prepare?
DP-900 preparation should focus on comprehension, service selection, and scenario reasoning.
Exam format essentials (what to plan for)
The Microsoft Azure Fundamentals track typically uses an online exam delivery format with multiple-choice question style. Exact delivery details (like exam language availability and any policy changes) must be confirmed in the current Microsoft exam listing.
How DP-900 questions usually test you
You’ll see concepts presented as scenarios, such as:
- Choosing storage for a dataset described as unstructured media
- Identifying whether a workload is transactional vs analytical
- Selecting Azure SQL relational concepts for structured schema workloads
- Associating NoSQL patterns and Azure Cosmos DB concepts
- Recognizing which analytics platform fits batch analytics and which supports near-real-time thinking
Tip: For each practice question you attempt, write a one-line justification: “Data type is X; workload is Y; best Azure option is Z because…” This turns memorization into exam-ready reasoning.
A practical DP-900 preparation plan (2–4 weeks)
Use the syllabus weights to guide time distribution:
- Week 1 (Core data concepts + Relational basics)
- 60% time: core data concepts (structured/semi/unstructured, transactional vs analytical)
- 40% time: relational fundamentals + SQL mindset
- Week 2 (Non-relational storage + Cosmos DB concepts)
- 50% time: Blob/File/Table Storage concepts
- 50% time: Cosmos DB scenario reasoning
- Week 3 (Analytics workloads + BI + real-time awareness)
- 40% time: Azure Databricks + large-scale analytics patterns
- 40% time: Microsoft Fabric + lakehouse/BI workflows
- 20% time: Power BI concepts + real-time analytics mindset
- Week 4 (Practice + mock testing)
- Do exam-style practice questions
- Take mock exams, review explanations, and re-study only missed objective categories
Recommended study resources (high value)
- Microsoft Learn (DP-900 learning paths): strong for fundamentals, structured explanations, and topic sequencing.
- DP-900 exam-style practice questions: focus on scenario-based selection.
- Free ITExamDeals mock exams: simulate the pacing and objective coverage.
Passing a mock exam can unlock up to 70% off voucher offers, giving you a budget-friendly way to schedule your DP-900 once you’re ready.
How much does the DP-900 exam cost in Latvia (voucher price and exam cost)?
The DP-900 exam cost depends on Microsoft’s published pricing for your region and on the exam listing details at the time of purchase. Prices may display in EUR for Latvia depending on the Microsoft storefront configuration.
What you should confirm before you buy
Before checkout, confirm:
- Exam code is DP-900
- Exam name matches the Azure Data Fundamentals certification path
- Currency matches your location (Latvia typically uses EUR)
- Any VAT or local tax presentation rules shown at checkout
- Whether the voucher is usable for the current exam (DP-900 stays current, but exam pricing and terms can change)
How to compare “DP-900 voucher price” without being misled
Use a comparison checklist:
- Total price shown at checkout (including taxes/fees)
- Voucher validity terms (expiration rules)
- Delivery method (instant email vs scheduled)
- Language options (if relevant to your booking)
Warning: Avoid “too good to be true” listings that don’t clearly state the voucher details. A legitimate voucher listing always shows the exam code and clear usage terms.
Where to buy a DP-900 exam voucher in Latvia (and how to choose the best route)?
You have several realistic purchase paths. The best one depends on what you value most: predictable pricing, clear delivery, or bundled guidance.
DP-900 voucher buying routes: quick comparison
| Purchase route | Typical strengths | Trade-offs to consider | Best for |
|---|---|---|---|
| Microsoft exam store (direct purchase) | Highest alignment with booking; straightforward terms | No third-party price experimentation | Candidates who want maximum simplicity |
| Authorised resellers (voucher distributors) | Often convenient voucher delivery and clear purchase flow | Need to compare total cost and terms across providers | Candidates who want voucher options without negotiation |
| Training academies / learning partners (voucher bundles) | Sometimes includes prep materials and support | Bundles can increase cost if you only want the voucher | Candidates who prefer guided preparation |
Where SecByte fits in (Latvia voucher purchase)
If you’re specifically searching for where to buy DP-900 voucher in a clean, voucher-focused flow, SecByte is one practical option. You can review a DP-900 exam voucher listing here: DP-900 exam voucher.
Tip: When comparing SecByte with other routes, focus on voucher terms (delivery time + validity) and the exact exam code (DP-900), not only the headline price.
DP-900 voucher price comparison (exam overview + what to verify)
This table gives you a vendor-independent snapshot of the exam identity and the areas DP-900 measures. Because exact prices vary by region and time, treat the “price” column as “confirm during checkout,” not as a fixed value.
| Exam code | Exam name | Price / cost | Status | Syllabus areas (weights) | Difficulty | Certification |
|---|---|---|---|---|---|---|
| DP-900 | Microsoft Azure Data Fundamentals | Varies by region and shown at checkout (confirm EUR for Latvia) | Active as listed by Microsoft | Core data concepts 25–30%; Relational 20–25%; Non-relational 15–20%; Analytics workloads 25–30% | Beginner to fundamentals | Microsoft Certified: Azure Data Fundamentals |
How to use this table before buying a voucher
- Confirm your exam code is DP-900.
- Validate the certification name shown during purchase.
- Match your study time to the weighted syllabus categories so you’re not over-practicing one area.
How to get the best value: is there a “cheap DP-900 exam voucher” strategy that works?
“Cheap” usually means either (1) a lower total voucher price, or (2) reduced wasted effort via better preparation.
The most reliable value strategy
- Use mock exams to identify weak syllabus areas early.
- Schedule your voucher only after you can consistently score well on exam-style practice questions and mock tests.
A value-first workflow
- Learn the syllabus weights and create a 2–4 week plan.
- Use free mock exams to find your gaps.
- When you’re ready, purchase the voucher from the route that offers the best combination of total cost + clear terms.
Tip: If your goal is “best place” rather than cheapest alone, prioritize clarity: voucher code, delivery method, and valid booking windows.
Detailed DP-900 syllabus walkthrough: data types, storage, SQL, Cosmos DB, analytics, Fabric, Databricks, and Power BI
This section helps you study like a subject-matter expert: define concepts, then connect them to what Azure services do.
Structured, semi-structured, and unstructured data—how to recognize them
Structured data (SQL-friendly)
Structured data typically fits:
- Fixed schema
- Table-like organization
- Strong consistency expectations for operational systems
Semi-structured data (flexible schema)
Semi-structured data often:
- Has a flexible structure
- Can store varying fields per record
- Works well with JSON-style patterns and schema-on-read thinking
Unstructured data (schema-free content)
Unstructured data typically:
- Does not fit a fixed table schema
- Includes files like documents, images, and media
- Usually maps to object storage approaches
Transactional vs analytical workloads—what to choose in Azure
Transactional (operational / OLTP) mindset
Transactional workloads prioritize:
- Low-latency reads/writes
- Updates and consistent transactional behavior
- Application-driven operations (e.g., user activity logging in an operational sense)
Analytical (BI / analytics / OLAP) mindset
Analytical workloads prioritize:
- Scanning, aggregation, and transformations
- Reporting freshness suitable for analytics cycles
- Batch analytics or streaming analytics thinking
Warning: Candidates often mix up “fast updates” with “fast insights.” DP-900 expects you to connect workload type to the appropriate data platform.
SQL and relational concepts—what DP-900 expects you to know
Relational thinking
DP-900 tests foundational relational concepts such as:
- Tables and relationships (keys at a conceptual level)
- How SQL queries filter and combine data
- Why relational models work well for structured datasets
Azure SQL services—how they relate to structured workloads
In DP-900 terms, Azure SQL services are positioned for relational and SQL-based structured workloads—especially where a schema and SQL query model are natural.
Azure Blob/File/Table Storage—when each storage type fits
Azure Blob Storage
Blob Storage is commonly associated with:
- Large-scale object storage
- Unstructured files
- Data lake and analytics ingestion patterns (conceptually)
Azure File Storage
File Storage is commonly associated with:
- File shares that fit traditional file system access patterns
- Scenarios where teams want shared storage semantics
Azure Table Storage
Table Storage is commonly associated with:
- NoSQL-like key-based storage
- Flexible entity modeling without classic relational tables
Azure Cosmos DB—how to reason about NoSQL at scale
DP-900 focuses on understanding Cosmos DB as a NoSQL database solution for:
- Large-scale data storage
- Flexible data modeling
- Scenarios requiring global distribution and scalable access patterns (as presented in fundamentals learning)
Large-scale analytics, Azure Databricks, and real-time analytics
Large-scale analytics workload patterns
Large-scale analytics often includes:
- Processing at scale
- Transformations for reporting
- Batch or streaming pipelines (conceptual recognition)
Azure Databricks
Azure Databricks is positioned as an analytics platform for:
- Data engineering workflows
- Analytics and transformation tasks
Real-time analytics
For real-time analytics, DP-900 expects you to recognize that:
- Data arrives continuously
- Insights may need low-latency updates
- Streaming-style processing differs from batch-only pipelines
Microsoft Fabric and Power BI—turning data into insights
Microsoft Fabric
Microsoft Fabric is positioned for analytics experiences that connect data storage and processing concepts to reporting workflows. DP-900 expects recognition of Fabric as a modern analytics platform.
Power BI
Power BI is positioned for:
- Creating dashboards and reports
- Turning processed datasets into business visualizations
Tip: When you practice, label the pipeline end-to-end: data type → storage choice → processing → visualization.
FAQs
What is DP-900?
DP-900 is the Microsoft Azure Data Fundamentals exam. It tests core concepts of structured, semi-structured, and unstructured data, relational vs non-relational data on Azure, and how analytics workloads use platforms such as Azure SQL, Azure Storage, Azure Cosmos DB, Azure Databricks, Microsoft Fabric, real-time analytics concepts, and Power BI.
What is the DP-900 syllabus?
The DP-900 syllabus measures four main 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%). Each area includes scenario-based knowledge of data types, storage, SQL/relational ideas, NoSQL concepts, and analytics platforms.
How much does DP-900 cost?
DP-900 cost depends on your region and the currency shown at checkout (for Latvia, typically EUR). The definitive fee is whatever Microsoft displays in the current DP-900 exam listing during voucher/booking purchase.
Where can I buy a DP-900 voucher?
You can buy a DP-900 voucher through common routes such as the Microsoft exam store, authorised resellers, or voucher bundles from training providers. For voucher-focused ordering, SecByte lists a DP-900 exam voucher page you can use to compare details like delivery and terms.
What is the cheapest way to take DP-900?
The cheapest way is usually the method that minimizes both total voucher cost and wasted preparation time. Use free exam-style practice questions and mock exams first; when you’re performing consistently, purchase the voucher route with the best total price and clear validity terms.
Is DP-900 difficult?
DP-900 is designed as an entry-level fundamentals exam. It can feel broad because it covers multiple Azure data services, but the best way to succeed is to focus on scenario reasoning tied to the syllabus weights—especially data type + workload matching.
Next steps
- Create a DP-900 study plan using the 25–30 / 20–25 / 15–20 / 25–30 syllabus weight breakdown.
- Practice with exam-style practice questions and track misses by objective area.
- Take a free ITExamDeals mock exam to confirm your readiness before you buy your DP-900 voucher.
- When ready, compare voucher routes by total checkout cost + validity + delivery terms, then purchase the voucher that best matches your Latvia booking needs.