200+ Free Azure DP-900 Practice Questions

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Question 1

Score: 0/0

Which type of data is characterized by a predefined schema with rows and columns?

Unstructured data

Semi-structured data

Structured data

Binary data

to track

2026 Statistics

Key Facts: Azure DP-900 Exam

700/1000

Passing Score

Microsoft

40-60

Questions

Microsoft

60 min

Time Limit

Microsoft

$99

Exam Fee

USD

25-35 hrs

Study Time

Recommended

Exam Domains

Microsoft

Sample Azure DP-900 Practice Questions

Try these sample questions to test your Azure DP-900 exam readiness. Each question includes a detailed explanation. Start the interactive quiz above for the full 200+ question experience with AI tutoring.

1Which type of data is characterized by a predefined schema with rows and columns?

A.Unstructured data

B.Semi-structured data

C.Structured data

D.Binary data

Explanation: Structured data is organized in a predefined format with rows and columns, typically found in relational databases. Unstructured data has no predefined model (like images or videos), while semi-structured data has some organizational properties but not a rigid schema (like JSON or XML).

2Which of the following is an example of unstructured data?

A.A relational database table

B.A JSON document

C.A video file

D.An Excel spreadsheet

Explanation: Video files are unstructured data because they lack a predefined data model or organization. Relational databases and Excel spreadsheets are structured data with defined schemas. JSON documents are semi-structured data as they have organizational tags but flexible schemas.

3JSON and XML are examples of which data type?

A.Structured data

B.Unstructured data

C.Semi-structured data

D.Relational data

Explanation: JSON and XML are semi-structured data formats. They contain tags or markers to separate semantic elements and enforce hierarchies, but they do not require a rigid schema like relational databases. This flexibility makes them ideal for data interchange and NoSQL databases.

4Which data type requires a schema to be defined before data can be stored?

A.Structured data

B.Semi-structured data

C.Unstructured data

D.All data types

Explanation: Structured data requires a predefined schema that specifies the data types, relationships, and constraints before data can be stored. Semi-structured data allows flexibility with schema-on-read, while unstructured data has no schema requirements at all.

5Images, audio files, and text documents are all examples of which data type?

A.Structured data

B.Semi-structured data

C.Unstructured data

D.Metadata

Explanation: Images, audio files, and text documents are all unstructured data types. They do not have a predefined data model or organized structure that can be easily queried using traditional database query languages.

6Which storage option is best suited for storing files such as documents and images?

A.Relational database

B.Blob storage

C.Graph database

D.Column-family database

Explanation: Blob storage (Binary Large Object storage) is designed for storing unstructured binary data such as documents, images, videos, and backups. Relational databases are for structured data, while graph and column-family databases are specialized NoSQL stores for specific use cases.

7What is the primary difference between file storage and blob storage?

A.File storage is more expensive than blob storage

B.File storage provides a hierarchical folder structure while blob storage uses a flat namespace

C.Blob storage is only for structured data

D.File storage cannot be accessed over the network

Explanation: File storage provides a hierarchical folder structure similar to traditional file systems, making it compatible with existing applications that use file shares. Blob storage uses a flat namespace with containers and blobs, optimized for massive scale and unstructured data storage.

8Which type of database enforces referential integrity between tables?

A.Document database

B.Key-value store

C.Relational database

D.Time-series database

Explanation: Relational databases enforce referential integrity through foreign key constraints that maintain relationships between tables. Document databases, key-value stores, and time-series databases do not typically enforce such relationships at the database level.

9Non-relational databases are also commonly referred to as what?

A.SQL databases

B.NoSQL databases

C.OLAP databases

D.Data warehouses

Explanation: Non-relational databases are commonly called NoSQL databases. The term "NoSQL" stands for "Not Only SQL," indicating these databases do not use the traditional tabular relational database structure and may use other query languages or APIs.

10Which storage option is best for applications that require complex queries with JOIN operations?

A.Key-value store

B.Relational database

C.Blob storage

D.Queue storage

Explanation: Relational databases excel at complex queries involving JOIN operations that combine data from multiple tables. Key-value stores and blob storage do not support JOINs, while queue storage is for message passing, not query operations.

About the Azure DP-900 Exam

Foundational certification covering core data concepts, relational and non-relational data on Azure, and analytics workloads. Tests knowledge of Azure SQL services, Cosmos DB, storage solutions, Synapse Analytics, and Power BI.

Questions

50 scored questions

Time Limit

60 minutes

Passing Score

700/1000

Exam Fee

$99 USD (Microsoft)

Azure DP-900 Exam Content Outline

25-30%

Describe Core Data Concepts

Data types (structured, semi-structured, unstructured), data storage options, data analytics and processing

20-25%

Describe Relational Data on Azure

Azure SQL Database, SQL Managed Instance, open-source databases (PostgreSQL, MySQL), relational concepts

20-25%

Describe Non-Relational Data on Azure

Azure Cosmos DB (APIs, consistency levels), Blob Storage tiers, Data Lake Storage Gen2, Table/Queue/File storage

15-20%

Describe Analytics Workloads on Azure

Synapse Analytics, Databricks, HDInsight, Data Factory, Microsoft Fabric, Power BI

How to Pass the Azure DP-900 Exam

What You Need to Know

Passing score: 700/1000
Exam length: 50 questions
Time limit: 60 minutes
Exam fee: $99 USD

Keys to Passing

Complete 500+ practice questions
Score 80%+ consistently before scheduling
Focus on highest-weighted sections
Use our AI tutor for tough concepts

Azure DP-900 Study Tips from Top Performers

1Understand the differences between structured, semi-structured, and unstructured data with real-world examples

2Learn Azure SQL deployment options: Single Database (PaaS), Managed Instance (near 100% compatibility), and SQL on VMs (IaaS)

3Master Cosmos DB APIs: Core (SQL), MongoDB, Cassandra, Gremlin (graph), and Table

4Know Cosmos DB consistency levels from strongest to weakest: Strong, Bounded Staleness, Session, Consistent Prefix, Eventual

5Understand Blob Storage tiers: Hot (frequent access), Cool (infrequent, 30+ days), Archive (rarely accessed, 180+ days)

6Learn analytics services: Synapse Analytics (unified platform), Databricks (Spark-based), Data Factory (ETL/ELT), Power BI (visualization)

Frequently Asked Questions

What is the Azure DP-900 exam?

The Azure DP-900 (Microsoft Azure Data Fundamentals) is an entry-level certification that validates your understanding of core data concepts and how data services work on Microsoft Azure. It covers relational data, non-relational data, and analytics workloads without requiring hands-on implementation experience.

How many questions are on the DP-900 exam?

The DP-900 exam contains 40-60 multiple-choice and multiple-select questions. You have 60 minutes to complete the exam. The passing score is 700 out of 1000.

How long should I study for Azure DP-900?

Most candidates need 25-35 hours of study over 3-4 weeks to prepare for the DP-900 exam. If you have prior experience with databases or Azure, you may need less time. Focus on understanding the differences between relational and non-relational data and when to use each Azure service.

What topics are covered on the DP-900 exam?

The DP-900 exam covers four main areas: Core Data Concepts (25-30%) including data types and analytics; Relational Data on Azure (20-25%) including SQL Database and open-source databases; Non-Relational Data on Azure (20-25%) including Cosmos DB and storage options; and Analytics Workloads (15-20%) including Synapse Analytics and Power BI.

Is Azure DP-900 worth it?

Yes, the Azure DP-900 is valuable for anyone looking to demonstrate foundational data knowledge, especially database administrators, data analysts, and those pursuing Azure data certifications. It is a good stepping stone to role-based certifications like Azure Database Administrator Associate (DP-300) or Azure Data Engineer Associate (DP-203).

What is the difference between DP-900 and DP-203?

DP-900 is a fundamentals-level exam testing conceptual knowledge of data concepts and Azure data services. DP-203 is an associate-level exam requiring hands-on experience designing and implementing data solutions on Azure. DP-900 is recommended before attempting DP-203 or DP-300.