Packt

Microsoft Azure Data Fundamentals Exam Guide (DP-900)

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Packt

Microsoft Azure Data Fundamentals Exam Guide (DP-900)

Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Analyze features of structured, semi-structured, and unstructured data

  • Utilize Azure SQL and open-source database services effectively

  • Identify and evaluate Azure storage options for different workloads

Details to know

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Recently updated!

April 2026

Assessments

8 assignments

Taught in English

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There are 8 modules in this course

In this section, we explore core data concepts, including data representation, storage options, and roles in data workloads, providing foundational knowledge for data-driven decision-making.

What's included

2 videos10 readings1 assignment

In this section, we explore relational data concepts, normalization, SQL statements, and database objects to build foundational knowledge for efficient data management and the DP-900 Azure certification.

What's included

1 video4 readings1 assignment

In this section, we explore Azure relational data services, focusing on Microsoft and open source databases, deployment methods, and exam readiness for DP-900.

What's included

1 video4 readings1 assignment

In this section, we explore Azure Storage capabilities, including Blob, Files, and Table storage, for managing structured, semi-structured, and unstructured data in cloud environments.

What's included

1 video3 readings1 assignment

In this section, we explore Azure Cosmos DB's capabilities, use cases, and APIs, emphasizing its multi-model, scalable, and flexible design for diverse application needs.

What's included

1 video2 readings1 assignment

In this section, we explore large-scale analytics architecture, focusing on data ingestion, storage, and Azure services like Synapse Analytics and Databricks for efficient data management and analysis.

What's included

1 video4 readings1 assignment

In this section, we explore batch and streaming data processing methods and identify Azure services for real-time analytics, focusing on practical applications and decision-making.

What's included

1 video4 readings1 assignment

In this section, we explore Power BI's data visualization capabilities, focusing on interactive reports, dashboards, and data modeling to enhance decision-making and exam readiness.

What's included

1 video4 readings1 assignment

Instructor

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