Buying a Microsoft DP-900 exam voucher in Uzbekistan is easiest when you choose a trusted voucher source, confirm the exam code (DP-900), and review the current country-specific exam price on the official booking page. This post breaks down the DP-900 syllabus, what each data workload topic covers, and a preparation plan using exam-style practice questions and free ITExamDeals mock exams.
Key takeaways
- DP-900 (Microsoft Azure Data Fundamentals) validates core data concepts, Azure relational & non-relational data, and analytics workloads.
- The syllabus is skill-based: Core data concepts (25–30%), Relational data on Azure (20–25%), Non-relational data on Azure (15–20%), Analytics workloads on Azure (25–30%).
- DP-900 exam cost varies by country/currency, so always confirm the live price on the Microsoft exam booking page.
- A reliable voucher buying route balances price, speed, and support: vendor store vs authorized resellers vs training academies.
- Using exam-style practice questions plus free ITExamDeals mock exams helps you measure readiness; passing a mock exam unlocks up to 70% off voucher offers.
What is the Microsoft DP-900 exam and who is it for?
DP-900, Microsoft Azure Data Fundamentals, targets candidates who want foundational knowledge of data concepts and how data services on Azure fit into analytics and application development.
What DP-900 tests (the big picture)
DP-900 focuses on the “what” and “why” of data and analytics—before deep administration, optimization, or coding.
You’ll be expected to understand:
- Structured, semi-structured, and unstructured data
- Data storage models and when to use different storage services
- Transactional vs analytical workloads
- Relational vs non-relational data and common design considerations
- Core SQL and relational concepts at a fundamentals level
- Azure data and analytics services such as Azure SQL, Azure Storage, Azure Cosmos DB, Azure Databricks, Microsoft Fabric, Power BI, and real-time analytics patterns
Who should take DP-900?
DP-900 is a strong entry point for:
- Cloud beginners building a foundation in Azure data
- Career switchers aiming for roles that touch data basics (e.g., data analyst, data engineer starter paths)
- Candidates preparing for follow-on certs (for example, Microsoft AZ-104 Azure Administrator often benefits from data fundamentals even if it’s not the same target domain)
- Learners with security/network background who want a cloud data baseline (for context: CompTIA Security+ SY0-701, CompTIA Network+ N10-009, Cisco CCNA 200-301)
Tip: If your goal is “data fundamentals before tooling,” DP-900 is a practical first step.
What is the DP-900 syllabus (and what percentage weightings matter most)?
DP-900 is organized around four major skill areas. Knowing the weightings helps you prioritize study time and choose the right practice questions.
DP-900 skills measured (complete weight breakdown)
- Core data concepts — 25–30%
- Relational data on Azure — 20–25%
- Non-relational data on Azure — 15–20%
- Analytics workloads on Azure — 25–30%
Topic map you should expect in study resources
Below is a detailed, fundamentals-first breakdown aligned to how DP-900-style questions are typically written on Microsoft Learn study guidance.
1) Core data concepts (25–30%)
You should be comfortable with:
- Structured data (tabular formats, schemas, examples like relational tables)
- Semi-structured data (flexible schema; common examples include JSON/XML)
- Unstructured data (free-form content like images, audio, documents, text blobs)
- Data storage concepts: storing data for applications vs for analytics
- Transactional vs analytical workloads
- Transactional: write-heavy operations, low-latency querying
- Analytical: read-heavy workloads, aggregations, reporting, BI, analytics pipelines
2) Relational data on Azure (20–25%)
You should know how relational fundamentals translate to Azure services:
- Relational database concepts
- Tables, rows, columns
- Primary keys and relationships
- Joins and relational query basics (fundamental SQL concepts)
- SQL concepts at a baseline level
- Azure SQL family understanding at a fundamentals level
- Knowing the service role (relational data platform for SQL-based workloads)
- How relational data supports transactional scenarios
- A clear mental model for when SQL relational databases are used vs other storage/data models
Warning: DP-900 does not demand deep DBA administration. Focus on concepts and appropriate workload/service matching.
3) Non-relational data on Azure (15–20%)
This area emphasizes “why non-relational,” plus storage and NoSQL fundamentals:
- Differences between relational vs non-relational approaches
- Azure Storage services and what they’re used for:
- Blob Storage (object storage for large unstructured/binary data)
- File Storage (file shares in Azure)
- Table Storage (key/attribute style NoSQL for structured-ish entities)
- Azure Cosmos DB fundamentals:
- NoSQL database concepts
- Key-value/document-style thinking
- How Cosmos DB supports global distribution and different usage patterns at a high level (fundamentals)
4) Analytics workloads on Azure (25–30%)
Analytics questions usually ask you to identify the right approach for batch, BI, streaming, or large-scale processing.
You should cover:
- Large-scale analytics concepts and how datasets are processed
- Azure Databricks for large-scale data processing and analytics patterns
- Microsoft Fabric for analytics and BI ecosystem understanding
- Understanding what Fabric is intended to support at a high level
- Real-time analytics concepts
- Event/stream thinking and why streaming matters
- Power BI for visualization and business reporting
A quick way to study the weightings
Plan your time like this:
- Spend the most time on the two ~30% areas: Core data concepts and Analytics workloads
- Allocate time proportionally for Relational and Non-relational
- Build a “service decision” habit: every practice question should force you to select the best-fit service/workload
How does structured vs semi-structured vs unstructured data show up in DP-900?
DP-900-style questions commonly use short scenarios. Your job is to classify the data type and match the best storage/analytics approach.
What each data type means (fast recall)
- Structured data: defined schema, rows and columns, predictable structure
- Semi-structured data: flexible schema; often key/value and document formats
- Unstructured data: no fixed schema; content-first data (documents, images, audio, text blobs)
How Azure storage concepts map to DP-900 scenarios
A strong mental model:
- Use object storage thinking for large files and content (commonly associated with Azure Blob Storage)
- Use file share thinking when applications need file semantics (commonly associated with Azure File Storage)
- Use key/attribute thinking for simple entity storage (commonly associated with Azure Table Storage)
- Use database thinking for applications needing flexible NoSQL queries at scale (commonly associated with Azure Cosmos DB)
Tip: In practice questions, look for wording like “documents,” “images,” “binary files,” “logs,” or “media”—these clues often point toward unstructured/object storage approaches.
Transactional vs analytical workload matching
DP-900 questions often include a performance or usage hint:
- Transactional: frequent inserts/updates, operational queries, low latency
- Analytical: large scans, aggregations, reporting, business intelligence, batch or streaming analytics
This mapping helps you choose between relational database and analytics-oriented processing services.
Which Azure services belong to DP-900’s relational and NoSQL sections?
DP-900 isn’t about remembering every SKU detail—it’s about knowing which Azure service category fits a workload and why.
Relational side: SQL and Azure SQL fundamentals
You should be able to explain relational basics:
- Why schemas and tables help organize transactional data
- How keys and relationships support data integrity concepts
- Why SQL is central to relational querying
- How Azure SQL fits as a relational database service for SQL-based workloads
Non-relational side: Azure Storage and Cosmos DB fundamentals
For NoSQL and storage, DP-900 emphasizes the “shape” of the data and the storage/access pattern:
- Blob Storage: large object/content storage for unstructured data
- File Storage: managed file shares for common file usage patterns
- Table Storage: entity storage using key/attribute patterns
- Azure Cosmos DB: a NoSQL database service for flexible data models and scalable operations
Warning: If a question talks about “key/value,” “documents,” or “NoSQL,” it’s usually pointing you toward a non-relational category—not a relational SQL database.
How do DP-900 analytics workloads connect to Databricks, Fabric, Power BI, and real-time analytics?
Analytics questions can feel broad, but DP-900 expects you to recognize the purpose of each workload tool and the type of analytics it supports.
Large-scale analytics: batch + processing mindset
DP-900 expects you to understand large datasets and analytical processing concepts, such as:
- Reading and transforming large volumes of data
- Supporting aggregations and reporting needs
- Organizing data for analytics workflows
Azure Databricks is commonly associated with large-scale processing and data analytics patterns.
Microsoft Fabric: analytics ecosystem understanding
Microsoft Fabric is positioned as an end-to-end analytics ecosystem conceptually. DP-900 questions may ask you to choose Fabric for broad analytics/BI workflow context rather than isolated storage.
Power BI: visualization and BI outcomes
Power BI is a visualization/BI service. When a question highlights:
- dashboards
- reports
- business insights
- interactive analytics
…it’s aligned with Power BI-style outcomes.
Real-time analytics: streaming mindset
DP-900 also covers real-time analytics. Key indicators in scenarios include:
- events arriving continuously
- low-latency insights
- streaming data flow
Real-time analytics questions generally test your ability to choose a strategy that supports ongoing data ingestion and timely analysis.
What is the DP-900 exam format, and how should you prepare for success?
DP-900 preparation works best when you combine:
- structured learning (Microsoft Learn-aligned study)
- targeted exam-style practice questions
- timed mock exams to reveal weak areas
DP-900 format (how to approach the exam day)
Microsoft certifications typically use a digital exam delivered through an online or test center environment depending on your region and available options. Your exact scheduling method and delivery details depend on the current Microsoft/Pearson VUE booking flow.
To get the most accurate format details for your booking route:
- Open the official DP-900 exam page in the Microsoft certification directory
- Confirm delivery type, language availability, and scheduling options for Uzbekistan
Tip: Your goal is not memorization—it’s matching workloads to the correct data or analytics category under time pressure.
A preparation plan that matches the syllabus weightings
Week 1 (Foundation + Core Data Concepts)
- Study structured vs semi-structured vs unstructured data
- Practice transactional vs analytical decision questions
- Build flashcards for “service category + workload fit”
Week 2 (Relational Data on Azure + SQL fundamentals)
- Focus on relational concepts and SQL basics
- Practice Azure relational workload matching
- Review how relational data supports transactional usage
Week 3 (Non-relational Data on Azure)
- Drill Azure Storage service roles (Blob/File/Table)
- Practice Cosmos DB fundamentals questions
- Compare relational vs non-relational in scenario form
Week 4 (Analytics Workloads on Azure)
- Cover large-scale analytics concepts
- Practice Databricks, Fabric, Power BI, and real-time analytics scenario selection
- Run timed practice sets daily
Practice questions and mock exams: the highest-leverage tactic
- Use exam-style practice questions to learn how DP-900 phrases concepts.
- Use free ITExamDeals mock exams to validate readiness.
- Passing a mock exam unlocks up to 70% off voucher offers, helping you plan the certification step with less friction.
DP-900 exam voucher in Uzbekistan: where to buy, what to check, and how to avoid mistakes
When candidates search “Microsoft DP-900 exam voucher” or “DP-900 voucher price,” the real issue is usually logistics:
- How to purchase the voucher
- Whether it works with DP-900 booking in Uzbekistan
- How to avoid selecting the wrong exam code or mismatched region/currency
What to verify before you buy a DP-900 voucher
Use this checklist:
- Exam code: confirm it says DP-900
- Exam name: ensure it matches Microsoft Azure Data Fundamentals
- Voucher eligibility/region: confirm it can be redeemed for your location/currency
- Redemption instructions: ensure your voucher includes the steps to book the exam
- Delivery method: decide whether you want email delivery or other distribution
Warning: Buying “cheap DP-900 vouchers” from unclear sources increases the risk of redemption problems. Choose a route with clear redemption steps and transparent support.
DP-900 buying routes compared (price, support, and study value)
Below is a neutral comparison of common purchase options.
| Purchase route | Typical pros | Typical trade-offs | Best for |
|---|---|---|---|
| Microsoft exam store / official booking flow | Highest clarity on redemption path | Price may vary by region and can require direct booking | Candidates who want direct official control |
| Authorized resellers | Often straightforward purchasing and delivery | May not include extra study materials | Candidates who want a voucher with clear steps |
| Training academies / partners | Sometimes include bundled learning resources | Total cost may be higher than voucher-only | Candidates who want structure alongside the voucher |
| Voucher platforms (independent retailers) | Convenience and quick access | Quality depends on retailer reputation and support | Candidates optimizing for speed and simplicity |
Where to buy a DP-900 exam voucher (and what “DP-900 voucher price” really means)
“DP-900 voucher price” is not one fixed number—exam prices vary by country and currency, and changes can happen over time. The most accurate way to determine the exact cost for Uzbekistan is to confirm the current live price on the official exam booking page for DP-900.
Why you should rely on the official live price
Even if a voucher is purchased from a retailer, the underlying exam pricing and redemption behavior are governed by the Microsoft certification marketplace and exam booking system. Live price confirmation prevents surprises.
A straightforward option for purchasing: SecByte (voucher buying)
If you want a dedicated “voucher purchase” path, you can use this DP-900 exam voucher listing to review the voucher option for the DP-900 exam and follow the redemption steps provided.
Tip: Before checkout, verify the exam code (DP-900), then store the voucher/receipt details for your booking reference.
DP-900 exam cost overview and current price guidance (Uzbekistan)
The DP-900 exam cost depends on:
- country/currency pricing
- current Microsoft pricing updates
- how you purchase (voucher vs direct booking)
Because the exact numeric value can change, the best practice is:
- open the official DP-900 exam page in the Microsoft certification directory
- check the current price displayed for your region during checkout
- confirm currency and redemption instructions
This approach is the most reliable way to plan your “exam voucher budget” without guessing.
Comparison table: DP-900 and certification context
The table below summarizes key booking identifiers and how candidates should think about the exam’s scope. Where “price” varies, the table shows the required verification approach.
| Exam code | Exam name | Price | Status | Syllabus areas covered | Difficulty (candidate-fit) | Certification impact |
|---|---|---|---|---|---|---|
| DP-900 | Microsoft Azure Data Fundamentals | Varies by country/currency (verify live price on the official booking page) | Published/available for scheduling (confirm on booking page) | Core data concepts (25–30%), Relational data (20–25%), Non-relational data (15–20%), Analytics workloads (25–30%) | Entry-level fundamentals; scenario-based concepts | Establishes foundational Azure data/analytics literacy |
Detailed syllabus topic breakdown (what to study, in what order)
This section turns the DP-900 weightings into a practical checklist.
Core data concepts (25–30%)
Study checklist:
- Structured data basics: schema-first, table-oriented
- Semi-structured data: flexible data formats (document/key-value patterns)
- Unstructured data: content-first formats and why schema may not be fixed
- Data storage purpose: storing for apps vs storing for analytics
- Transactional vs analytical workloads
- Latency and query patterns
- Update vs scan/report behavior
Recommended practice approach:
- Take a set of exam-style practice questions and categorize your misses into: data type classification vs workload matching.
Relational data on Azure (20–25%)
Study checklist:
- Relational concepts: tables, rows, columns
- Keys and relationships (fundamentals)
- SQL basics: relational query thinking
- Azure SQL role in relational workloads
Recommended practice approach:
- For each practice question, identify: “Is this transactional relational SQL?”
Non-relational data on Azure (15–20%)
Study checklist:
- Relational vs NoSQL tradeoffs (at a fundamentals level)
- Azure Blob/File/Table Storage roles
- Azure Cosmos DB basics: NoSQL database concept model
Recommended practice approach:
- Use scenario keywords: blobs for content, tables for entity patterns, Cosmos DB for scalable NoSQL database usage.
Analytics workloads on Azure (25–30%)
Study checklist:
- Large-scale analytics fundamentals
- Azure Databricks: analytics processing patterns
- Microsoft Fabric: analytics ecosystem understanding
- Power BI: reporting and visualization outcomes
- Real-time analytics: streaming mindset and use cases
Recommended practice approach:
- Treat analytics questions like “choose the right outcome”: batch insights vs BI dashboards vs streaming insights.
Recommended study resources (vendor-independent, exam-aligned)
To stay accurate, use Microsoft Learn study guidance for DP-900 and pair it with practice and mocks.
Best study resources to use
- Microsoft Learn for DP-900 learning paths and fundamentals
- DP-900 exam-style practice questions
- Free ITExamDeals mock exams for readiness scoring
Tip: After each practice set, write a one-line “why” for the correct answer—this improves long-term recall.
How to measure progress week-by-week
- Track your accuracy by syllabus area
- Spend more time on the area(s) you miss most
- Re-run a mock exam after targeted review
FAQs
What is DP-900?
DP-900 is the Microsoft Azure Data Fundamentals certification exam. It validates foundational understanding of core data concepts, relational and non-relational data on Azure, and analytics workloads.
What is the DP-900 syllabus?
The DP-900 syllabus is divided into four measured 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%).
How much does DP-900 cost?
DP-900 exam cost varies by country and currency and can change over time. The most accurate DP-900 exam cost for Uzbekistan is the live price displayed during checkout on the official Microsoft exam booking flow.
Where can I buy a DP-900 voucher?
You can buy a DP-900 voucher through official Microsoft booking routes, authorized resellers, or reputable voucher retailers. Always confirm DP-900 exam code, redemption steps, and region/currency eligibility.
What is the cheapest way to take DP-900?
The cheapest option depends on the current live price and the voucher purchasing route available to you. A practical approach is to compare voucher-only vs bundled purchase options and use free ITExamDeals mock exams; passing a mock exam can unlock up to 70% off voucher offers.
Is DP-900 difficult?
DP-900 is designed as an entry-level fundamentals exam. It’s scenario-based, so the “difficulty” usually comes from matching the right service/workload to the data situation—not from advanced coding or administration.
How do I prepare for DP-900?
Prepare by studying Microsoft Learn fundamentals, then reinforcing knowledge with exam-style practice questions mapped to the four syllabus areas. Finish with timed mock exams so you can identify weak topics and focus your final revision.
Next steps
- Confirm the DP-900 exam code and review the official Microsoft DP-900 booking page for current Uzbekistan pricing.
- Create a study schedule mapped to the 25–30 / 20–25 / 15–20 / 25–30 syllabus weightings.
- Practice with exam-style questions and track errors by syllabus area.
- Take free ITExamDeals mock exams to measure readiness and streamline your voucher purchase plan.
- Buy the voucher from a route that provides clear redemption steps and preserves your receipt details for booking.