Try 12 Microsoft Azure Data Fundamentals (DP-900) sample questions and practice-test preview prompts on relational and non-relational data, analytics workloads, Power BI concepts, Azure data services, and service-recognition scope.
DP-900 is Microsoft Certified: Azure Data Fundamentals. It is the entry route for candidates who need cloud data vocabulary before moving into database administration, data engineering, analytics, or Fabric work.
IT Mastery coverage for DP-900 is under review. Use this page to try 12 original sample questions, review the exam snapshot, route fit, and closest live Azure practice paths.
Practice option: Sample questions available
Start with the 12 sample questions on this page. Dedicated practice for DP-900: Microsoft Azure Data Fundamentals is not currently included as a full web-app practice page; enter your email to get updates when full practice becomes available or expands for this exam.
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| Area | What to review |
|---|---|
| Core data concepts | relational data, non-relational data, analytics workloads, transactional vs analytical patterns |
| Relational data on Azure | Azure SQL Database, SQL Server on Azure, SQL query and administration basics |
| Non-relational data on Azure | Cosmos DB, storage patterns, document/key-value data, service-fit choices |
| Analytics workloads | data warehousing, ingestion, transformation, visualization, and modern analytics services |
Try these 12 original sample questions for Microsoft DP-900. They are designed for self-assessment and are not official exam questions.
Topic: data workload type
A system records customer purchases as they happen and must support order lookups by customer service agents. What type of workload is this primarily?
Best answer: A
Explanation: Transactional workloads support day-to-day operations such as recording and retrieving orders. Analytics workloads usually aggregate and analyze data over time.
What this tests: Distinguishing transactional and analytical data workloads.
Topic: relational data
A data model has customers, orders, and order lines with clear relationships and structured columns. Which database style is the closest fit?
Best answer: B
Explanation: Relational databases organize structured data in tables with relationships. This is a core DP-900 concept.
What this tests: Recognizing relational data patterns.
Topic: non-relational data
A product catalog stores flexible JSON documents because different product categories have different attributes. Which data model is likely useful?
Best answer: C
Explanation: Document databases are useful when records have flexible structures. Cosmos DB is a common Azure example for document workloads.
What this tests: Recognizing document-style non-relational data.
Topic: analytics workload
Executives need monthly sales trends across regions and product categories. Which workload is most relevant?
Best answer: D
Explanation: Trend reporting across large sets of historical data is an analytics workload. It differs from recording individual transactions.
What this tests: Identifying analytics use cases.
Topic: Azure SQL
A team wants a managed SQL database in Azure for a structured business application. Which service should they consider first?
Best answer: A
Explanation: Azure SQL Database is Microsoft’s managed relational database service for SQL workloads. It fits structured application data.
What this tests: Matching relational needs to Azure SQL.
Topic: Cosmos DB basics
Which requirement is a common reason to consider Azure Cosmos DB?
Best answer: B
Explanation: Cosmos DB is often used for globally distributed NoSQL workloads with flexible data models and low-latency access needs.
What this tests: Recognizing Cosmos DB service fit.
Topic: data pipeline
A company ingests files each night, transforms them, and loads curated data for reports. What process is being described?
Best answer: C
Explanation: Ingesting, transforming, and loading data for reporting is a data integration pattern. DP-900 candidates should know common pipeline language.
What this tests: Recognizing data integration workflow.
Topic: visualization
A business user wants interactive dashboards over curated sales data. Which tool category is most relevant?
Best answer: D
Explanation: Dashboards and interactive reporting belong to BI and visualization. Microsoft Fabric and Power BI are examples in Microsoft’s ecosystem.
What this tests: Identifying visualization and BI needs.
Topic: data security
A database contains personal information. Which control set should be considered?
Best answer: A
Explanation: Sensitive data requires access control, encryption, auditing, and governance. These are foundational data-security ideas.
What this tests: Applying basic data security principles.
Topic: structured vs semi-structured data
A log record is stored as JSON with nested fields and may change shape over time. How should it be described?
Best answer: B
Explanation: JSON is commonly treated as semi-structured data because it has structure but does not require a fixed table schema for every record.
What this tests: Classifying data by structure.
Topic: batch vs streaming
Sensor readings must be analyzed as they arrive so alerts can fire within seconds. Which processing style is most relevant?
Best answer: C
Explanation: Processing data as it arrives is a streaming or real-time pattern. Batch processing is less suitable for second-level alerting needs.
What this tests: Distinguishing streaming from batch processing.
Topic: fundamentals route fit
A learner knows basic Azure services but is new to databases, analytics, and data workloads. Which Microsoft exam route is the closest fit?
Best answer: D
Explanation: DP-900 is the Azure Data Fundamentals route. It is intended for candidates building vocabulary around data concepts and Azure data services.
What this tests: Selecting the correct fundamentals certification route.
Use this map to connect the sample questions to the decision pattern Microsoft usually tests for this route.
flowchart LR
S1["Data scenario"] --> S2
S2["Classify workload type"] --> S3
S3["Choose relational or non-relational pattern"] --> S4
S4["Identify analytics flow"] --> S5
S5["Apply security basics"] --> S6
S6["Pick next data route"]
| Cue | What to remember |
|---|---|
| Workload type | Separate transactional systems from analytical reporting and streaming scenarios. |
| Data model | Recognize relational tables, documents, key-value data, blobs, and semi-structured formats. |
| Azure services | Match Azure SQL, Cosmos DB, storage, Fabric, and Power BI to the scenario. |
| Pipeline language | Know ingestion, transformation, ELT, ETL, batch, and streaming vocabulary. |
| Security basics | Expect access control, encryption, auditing, and data protection questions. |
Use this page to review DP-900 sample questions and use the Notify me form for updates. The related pages below help you compare adjacent IT Mastery Microsoft data practice options before choosing what to study next.