Microsoft Certified: Azure Data Fundamentals (DP‑900) Practice Exams
About the Azure DP-900 exam
Exam at a glance
Microsoft's entry-point data certification at the fundamentals tier. Microsoft Fundamentals certifications do not expire — no renewal required.
DP-900 covers core data concepts and the Azure data services that implement them. It's a strong fit for business analysts, project managers, IT generalists, and anyone preparing for higher-tier Azure data certifications like DP-100 (Data Scientist Associate) or DP-203 (Data Engineer Associate).
Skill areas measured
- Describe core data concepts — ~25-30%
- Identify considerations for relational data on Azure — ~20-25%
- Describe considerations for working with non-relational data on Azure — ~15-20%
- Describe an analytics workload on Azure — ~25-30%
Prerequisites
No formal prerequisites. DP-900 is designed as a first-look certification — anyone beginning to work with data in the cloud can take it. Familiarity with relational vs non-relational data and transactional vs analytical workloads helps, but the exam itself teaches these distinctions.
Why take this certification
- Permanent credential. Unlike Microsoft's Associate and Expert tier certifications, Fundamentals certifications never expire. Pass DP-900 once and the credential is yours for life — no annual renewal assessment, no recertification fee.
- Resume signal for non-engineers. DP-900 is widely recognized by hiring managers as proof that business analysts, PMs, and IT generalists understand modern data architecture vocabulary — relational vs non-relational, OLTP vs OLAP, batch vs stream.
- Foundation for higher-tier data certs. Although not a formal prerequisite, DP-900 covers concepts you'll need for DP-100 (Data Scientist Associate), DP-203 (Data Engineer Associate), DP-300 (Database Administrator Associate), and DP-420 (Cosmos DB Developer Specialty).
- Low-friction first cloud cert. 45-minute exam, $99 USD, free Microsoft Learn study path, no Azure experience required. One of the fastest cloud certifications you can add to a resume.
What you'll learn in the DP-900 exam
DP-900 validates that you can identify the right Azure data service for a given workload at a conceptual level. The exam is vocabulary-driven — most questions describe a scenario and ask you to choose the data type, workload pattern, or service that fits.
Core data concepts
- Data type distinctions: structured (rows + columns, fixed schema), semi-structured (JSON, XML, key-value), and unstructured (text, images, video, binary blobs).
- Workload patterns: transactional (OLTP — high-volume short reads/writes, ACID consistency) vs analytical (OLAP — large aggregations across historical data, eventual consistency).
- Data roles: database administrator, data engineer, data analyst — and which Azure services each role typically owns.
Relational data on Azure
- Azure SQL Database — fully managed PaaS SQL Server engine; serverless and Hyperscale tiers.
- Azure SQL Managed Instance — near-100% SQL Server feature parity for lift-and-shift migrations.
- SQL Server on Azure VMs — IaaS option when you need full OS control.
- Azure Database for MySQL Flexible Server, PostgreSQL Flexible Server, and MariaDB — managed open-source relational engines.
- Provisioning, querying with T-SQL basics, security primitives (firewall rules, Microsoft Entra authentication, transparent data encryption).
Non-relational data on Azure
- Azure Cosmos DB — globally distributed multi-model database with five APIs: NoSQL (Core), MongoDB, Cassandra, Gremlin (graph), and Table.
- Azure Table Storage — simple key-attribute NoSQL store for semi-structured data.
- Azure Blob Storage — object storage for unstructured data (hot / cool / cold / archive tiers).
- Azure Files — fully managed SMB/NFS file shares.
Analytics workloads on Azure
- Microsoft Fabric — unified analytics SaaS platform combining Synapse, Data Factory, and Power BI experiences.
- Azure Synapse Analytics — enterprise data warehousing + big-data analytics.
- Azure Data Factory — cloud ETL / ELT and data integration orchestration.
- Azure Databricks — Spark-based collaborative analytics and ML workspace.
- Azure Stream Analytics — real-time event processing on streaming data.
- Azure HDInsight — managed open-source big-data clusters (Hadoop, Spark, Kafka).
- Azure Event Hubs — high-throughput event ingestion for streaming pipelines.
- Power BI — data visualization basics: reports, dashboards, datasets, the modeling-to-publish flow.
How the practice exams help
Every free question and every premium exam mirrors the scenario-and-vocabulary style Microsoft uses on DP-900 — short stems, four to six options, and detailed explanations that cover why the right answer fits and why the distractors miss. You learn the service trade-offs rather than memorizing wordings.
How to prepare for the DP-900 exam
DP-900 is approachable. Most candidates pass after 2-4 weeks of focused study, and IT generalists with prior database exposure can pass in less. Recommended approach:
- Work through Microsoft Learn (1-2 weeks). The free DP-900 learning path on Microsoft Learn walks through every objective with interactive units. Focus on the relational and non-relational modules first — they share the most concepts with later exams.
- Hands-on with Azure free tier (1 week). Create a free Azure account and provision an Azure SQL Database and a Cosmos DB account in a sandbox. Run a few queries, inspect the firewall rules, switch between Cosmos DB APIs. Hands-on minutes pay off disproportionately on scenario questions.
- Read the DP-900 study guide (1-2 days). Microsoft's official DP-900 study guide lists every measured skill in detail. Skim it for any topic you can't explain in two sentences and circle back to Microsoft Learn for those.
- Practice exams (3-5 days). Take timed practice tests to identify weak areas. Detailed explanations on every answer option help you learn the reasoning, not just memorize answers. Aim for consistent 80%+ scores before scheduling your exam.
Recommended timeline
2-4 weeks of focused study (5-8 hours per week) for IT generalists. Complete beginners with no cloud or database background should allow 4-6 weeks. Existing database administrators or data analysts can often pass after a single weekend of review.
Official resources
Download the official DP-900 study guide and use the free Microsoft Learn DP-900 learning path as your primary text. Microsoft also publishes a free DP-900 practice assessment on the certification page — take it once near the start to gauge your baseline and once again the week of your exam.