DP-900 (Microsoft Azure Data Fundamentals) validates your ability to describe core data concepts and explain how data—relational, non-relational, and analytics—works on Azure. This guide helps Bangladesh-based candidates buy a DP-900 exam voucher confidently, understand the current DP-900 syllabus and measured skills, and plan study using exam-style practice questions and mock exams.
Key takeaways
- DP-900 exam voucher in Bangladesh: Purchase routes include the Microsoft exam platform and authorized resellers; compare price transparency, scheduling help, and support.
- DP-900 syllabus weights are split across 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%).
- Learn the differences between structured, semi-structured, and unstructured data, plus transactional vs analytical workloads.
- Use free ITExamDeals mock exams to practice exam-style questions; passing a mock exam can unlock up to 70% off voucher offers.
- When you buy a voucher, plan your prep timeline so you’re ready before scheduling.
What is the DP-900 exam, and what does it measure?
Microsoft DP-900: Microsoft Azure Data Fundamentals tests foundational knowledge of data types and how Azure supports data storage and analytics workloads.
DP-900 in one line
DP-900 helps you explain data concepts and describe how Azure handles relational, non-relational, and analytics workloads.
DP-900 exam overview (what you should expect)
DP-900 is designed for people who want a strong starting point for Azure data careers—especially when your background includes general IT, networking, security fundamentals, or cloud exposure.
Typical DP-900 coverage includes:
- Data fundamentals: structured/semi-structured/unstructured data, data storage basics
- Relational vs non-relational models: SQL and relational concepts, NoSQL concepts
- Azure data services: storage and databases that map to each workload type
- Analytics on Azure: large-scale analytics patterns and reporting/BI workflows
- Analytics lifecycle: how data moves from raw sources to insights
Tip: DP-900 is not a “coding” exam. Your edge comes from understanding what each data service is for and when to use it.
Who should take DP-900 (and how it fits your certification path)
DP-900 is a good fit if you want to build credible, vocabulary-rich knowledge of Azure data—before moving into admin, engineering, or data analytics certifications.
Ideal candidates for DP-900
Consider DP-900 if you:
- Want an Azure data foundation without needing deep development experience
- Need to describe data storage and analytics concepts in interviews or onboarding
- Are mapping your path from general IT certifications into Microsoft cloud roles
- Plan to pursue related Microsoft certs later (data engineering, analytics, or Azure administration)
Where DP-900 sits alongside other IT certifications
DP-900 complements many role-based learning paths by adding Azure-specific data understanding. For context, it pairs well with cloud-adjacent certifications such as Microsoft AZ-104 Azure Administrator when you want deeper knowledge of data stores and analytics services.
(Other security and networking certifications—like CompTIA Security+ SY0-701, CompTIA Network+ N10-009, Cisco CCNA 200-301, and Fortinet FortiGate Administrator—also help build general systems understanding that makes data concepts easier to grasp.)
What is the DP-900 syllabus? (Complete skills measured with weights)
DP-900’s measured skills map directly to how Microsoft Learn topics are structured. Below is the current syllabus coverage using the required weighting bands.
DP-900 syllabus (weighting by domain)
- Core data concepts: 25–30%
- Relational data on Azure: 20–25%
- Non-relational data on Azure: 15–20%
- Analytics workloads on Azure: 25–30%
Detailed topic breakdown by domain
1) Core data concepts (25–30%)
You should be able to explain:
- Structured data: fixed schema, rows/columns, typical tabular formats
- Semi-structured data: flexible schema with self-describing elements (examples often include JSON/XML patterns)
- Unstructured data: no fixed schema (examples include text documents, images, logs)
- Data storage concepts: file vs database thinking; how storage layers support different access patterns
- Transactional workloads vs analytical workloads:
- Transactional: frequent inserts/updates, quick queries, operational systems
- Analytical: read-heavy patterns, aggregations, historical analysis, BI reporting
- Core analytics vocabulary: batch vs streaming concepts at a high level
- Data processing flow concepts: how data can move from storage into processing/visualization
2) Relational data on Azure (20–25%)
You should be able to:
- Describe relational databases and how SQL fits into relational querying
- Explain fundamental relational concepts:
- tables, rows, columns
- keys and relationships (conceptual level)
- normalized design vs practical trade-offs (high-level)
- Identify how Azure supports relational workloads, including:
- Azure SQL services (relational database options on Azure)
- how relational systems are typically used for transactional workloads
- Understand the role of SQL-based analytics concepts when data is queried for reporting
Tip: DP-900 questions often test your ability to match a workload to the right data model (relational vs non-relational) and the right service category.
3) Non-relational data on Azure (15–20%)
You should understand:
- When non-relational approaches are used:
- flexible schemas
- large scale ingestion
- unstructured/semi-structured data handling
- Azure storage types and use cases:
- Azure Blob Storage for unstructured/binary data such as images, documents, and large files
- Azure File Storage for SMB-style file shares (shared file needs)
- Azure Table Storage for key/attribute data in a NoSQL-style model
- Database concepts for application data:
- Azure Cosmos DB as a globally distributed NoSQL database service
- How Azure Cosmos DB relates to:
- document/key-value/graph-style patterns (conceptually)
- building apps that require low-latency access patterns
4) Analytics workloads on Azure (25–30%)
You should be able to explain:
- Large-scale analytics patterns:
- ingesting data at scale
- processing and transforming data for insights
- Azure Databricks: analytics and data engineering workloads (conceptual mapping to big-data processing)
- Microsoft Fabric: modern analytics platform concepts that support BI, data engineering, and analytics workflows
- Real-time analytics concepts: streaming and near-real-time insight generation
- Power BI: reporting and dashboarding for business insights
- How data services can support:
- exploratory analytics
- curated reporting datasets
- operational reporting patterns
What “structured vs semi-structured vs unstructured” means in practice
DP-900 aims to make you quick at describing data categories:
- Structured: consistent schema → best fit for relational thinking
- Semi-structured: flexible schema → often maps to JSON-like ingestion and NoSQL-style processing
- Unstructured: raw content → typically stored as blobs/files and processed via analytics pipelines
What data storage options are covered in DP-900?
DP-900 connects the “data type” story to storage and service categories.
Data storage on Azure: what you should know
- Azure Blob Storage: unstructured content storage and scalable file/blob management
- Azure File Storage: shared file management using SMB-compatible file shares
- Azure Table Storage: key/attribute data structures for NoSQL-style use cases
- Azure Cosmos DB: operational NoSQL database capabilities designed for app workloads with flexible schemas and global access patterns
Quick mapping: data type → likely Azure storage/service
- Unstructured → Blob/File (store raw content)
- Semi-structured → Blob for landing + NoSQL-style processing patterns
- Structured/relational → SQL-based databases and relational models
- High-scale NoSQL app data → Cosmos DB
Tip: DP-900 is about matching workload intent (transactional vs analytical) and data model (relational vs non-relational) to the correct Azure service category.
Transactional vs analytical workloads: how DP-900 expects you to think
This is a frequent theme in DP-900 exam-style practice questions.
Transactional workloads (operational systems)
Typical characteristics:
- real-time or near-real-time operational queries
- inserts/updates reflecting current application state
- low-latency access needs
Analytical workloads (insight and decisioning)
Typical characteristics:
- aggregations, trend analysis, and historical reporting
- batch or streaming processing patterns
- heavy read workloads optimized for analytics
Why this matters for Azure service selection
Azure data services are often positioned by how well they support:
- frequent transactional reads/writes
- large-scale analytics processing
- reporting and BI consumption
What are SQL and relational concepts you must master for DP-900?
Relational data on Azure is about how relational databases organize and query data, not writing advanced SQL scripts.
The DP-900 relational checklist
You should confidently explain:
- SQL as the query language for relational systems
- relational database basics:
- tables and columns
- relationships between entities (conceptual)
- how relational systems support transactional-style workloads
- how query-driven reporting uses relational data
Tip: In DP-900, if a scenario describes fixed schema, row/column structure, and SQL querying, the answer typically trends toward relational databases and SQL-based concepts.
Analytics on Azure: Databricks, Fabric, real-time, and Power BI (DP-900 essentials)
DP-900 blends “where analytics happens” with “how insights are consumed.”
Large-scale analytics workloads
You should be able to explain:
- data ingestion and processing at scale
- transforming raw data for analytics consumption
- using platforms that support distributed processing concepts
Azure Databricks
Focus areas:
- analytics and data processing workloads
- how large-scale data processing supports insights
Microsoft Fabric
Focus areas:
- modern analytics workflow concepts
- connecting data preparation, analytics, and BI reporting
Real-time analytics
You should understand the concept of:
- near-real-time ingestion
- continuous processing patterns
- dashboards and alerts that reflect updated information
Power BI
You should be able to describe:
- how Power BI supports reporting and dashboards
- how organizations consume curated datasets for business insights
How to prepare for DP-900 exam voucher purchase in Bangladesh (a practical timeline)
Buying the voucher is only step one. A good approach in Bangladesh is to plan your study timeline around when you’ll schedule the exam.
A simple 4-week plan (adapt as needed)
Week 1: Data foundations
- Structured/semi-structured/unstructured data
- Transactional vs analytical workloads
- Data storage basics and service intent
Week 2: Relational data on Azure
- relational concepts
- SQL and query intent
- Azure SQL services at a conceptual level
Week 3: Non-relational data on Azure
- Blob/File/Table Storage concepts
- Azure Cosmos DB concepts
- mapping questions: choose the right storage model
Week 4: Analytics workloads on Azure
- large-scale analytics concepts
- Azure Databricks and Fabric overview
- real-time analytics concepts
- Power BI reporting consumption
Tip: After each topic, do exam-style practice questions and re-read only the explanations you miss. That’s how you build speed.
Use mock exams strategically
- Start with topic-based practice questions.
- Move to full-length mock exams when you complete each domain.
- Track patterns: if you miss “transactional vs analytical” scenarios, review that concept first.
DP-900 exam voucher Bangladesh: where to buy and what to compare
Candidates in Bangladesh typically consider these purchase routes:
- Vendor exam voucher store (if available in your region)
- Authorized resellers (often provide voucher codes and checkout support)
- Training academies (sometimes bundle voucher with learning resources)
To choose the right route, compare:
- Price transparency
- How quickly the voucher is delivered
- Support for scheduling
- Whether the seller provides clear redemption steps
DP-900 voucher buying comparison table
| Purchase route | What you get | Pros (Bangladesh candidates) | Trade-offs | Best for |
|---|---|---|---|---|
| Microsoft/vendor exam voucher | Voucher purchased via official channel | Highest control over redemption flow | Region availability and checkout steps vary | Candidates who want direct vendor checkout |
| Authorized reseller | Voucher code + redemption instructions | Often straightforward purchase and delivery | Varies by reseller support quality | Candidates who want simple code delivery |
| Training academy (bundle) | Voucher + preparation materials | Structured learning path | Could cost more than standalone voucher | Candidates who want guided study |
| SecByte voucher option | “DP-900 exam voucher” via a voucher portal | Clear voucher journey and dedicated voucher listing | Still requires your own study plan | Candidates who want a focused voucher purchase experience |
Tip: Never purchase from sellers that do not provide clear, verifiable redemption instructions. DP-900 scheduling and voucher redemption must follow a documented process.
Where can you buy a DP-900 exam voucher? (SecByte option)
If you’re looking for a clean voucher purchase experience in Bangladesh, SecByte is one option to consider. You can use the following link once to reach the DP-900 exam voucher page: it’s a dedicated voucher listing designed for candidates who want a focused purchasing flow.
What to verify before checkout
Before you complete purchase, verify:
- the correct exam code (DP-900)
- the voucher redemption steps shown on the voucher page
- whether the platform supports your Bangladesh scheduling flow
How to avoid common voucher mistakes
- Double-check the exam name and code (DP-900: Microsoft Azure Data Fundamentals)
- Confirm you can access the redemption instructions and schedule on the exam provider platform
- Plan your study so you schedule the exam soon after receiving the voucher
DP-900 exam format: how the test is delivered
DP-900 is typically delivered as a computer-based exam at a testing provider. The exam uses scenario-based and multiple-choice question formats aligned to the measured domains.
What to focus on for the exam format
- Read scenario prompts carefully (transactional vs analytical is frequently tested)
- Identify which data model matches the scenario:
- relational/SQL concepts
- NoSQL/storage concepts
- analytics and BI consumption
- Answer based on Azure service intent, not on tool “names” alone
Tip: When you practice, time-box the first read and then come back for elimination. That improves accuracy in scenario-based questions.
DP-900 exam overview: price/cost for Bangladesh candidates
DP-900 exam pricing can vary by country/region and can change over time. The most reliable way to know the current DP-900 exam cost for Bangladesh is to view the exam price at checkout on the official exam listing.
What affects DP-900 cost?
- regional currency and Microsoft pricing policies
- whether you buy a voucher vs pay directly in the exam platform
- taxes/fees that may apply depending on payment method and region
How to keep your total cost under control (without guessing)
- Compare voucher sources by total checkout amount (voucher price + any additional fees)
- Use mock exam practice to reduce re-take risk
- Consider that passing a mock exam unlocks up to 70% off voucher offers on ITExamDeals, which can be a strong cost-reduction strategy when you’re actively preparing
Recommended DP-900 study resources (vendor-independent + Microsoft Learn aligned)
To align your prep with the current syllabus, use a mix of:
- Microsoft Learn DP-900 learning paths
- Exam-style practice questions mapped to the measured domains
- Free mock exams to build timing and confidence
Best study approach by domain
- Core data concepts: focus on definitions + scenario mapping
- Relational data on Azure: focus on SQL/relational concepts and Azure SQL service intent
- Non-relational data on Azure: focus on storage types and Cosmos DB conceptual fit
- Analytics workloads: focus on Databricks/Fabric concepts, real-time analytics patterns, and Power BI consumption
Tip: Use your practice questions to build a “mistake list” by domain—then re-learn only the topics that repeatedly cause errors.
DP-900 FAQs (Bangladesh-focused, exam-ready answers)
FAQs
What is DP-900?
DP-900 (Microsoft Azure Data Fundamentals) is an entry-level Microsoft exam that tests foundational knowledge of data concepts and how Azure supports relational, non-relational, and analytics workloads.
What is the DP-900 syllabus?
The DP-900 syllabus is organized into four 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 Bangladesh?
DP-900 cost depends on your country/region and can change. The exact current price for Bangladesh is shown on the official DP-900 exam listing during checkout (including any applicable taxes/fees).
Where can I buy a DP-900 voucher?
You can buy DP-900 vouchers through the official exam platform (when available) or through authorized reseller routes. SecByte also provides a dedicated voucher listing for DP-900.
What is the cheapest way to take DP-900?
The lowest total cost depends on voucher pricing at the time of purchase and your exam prep strategy. Using free ITExamDeals mock exams to prepare—and benefiting from mock-driven voucher offers (up to 70% off voucher offers)—is a practical way to reduce cost without relying on guesswork.
Is DP-900 difficult?
DP-900 is designed as a fundamentals exam. It’s challenging mainly because it tests concept mapping (workload type → data model → Azure service intent). With domain-by-domain study and exam-style practice questions, candidates build confidence quickly.
How do I prepare for DP-900?
Prepare by mastering the four syllabus domains in order: data concepts, relational on Azure, non-relational on Azure, and analytics workloads on Azure. Then validate with exam-style practice questions and free mock exams until you consistently score well across all domains.
Next steps
- Review the DP-900 domain weighting and create a 4-week study plan focused on the biggest percentages.
- Practice exam-style questions by domain, then take free mock exams to measure readiness.
- After you’re ready to schedule, buy the DP-900 exam voucher from your chosen voucher route and confirm the redemption steps.
- Schedule the exam early enough to protect your time for review and retakes if needed.