DP-900: Microsoft Azure Data Fundamentals Practice Tests

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DP-900: Microsoft Azure Data Fundamentals Practice Tests

About this course

Six full-length practice tests, each with 65 questions, covering all four exam domains in the proportions Microsoft specifies:• Describe Core Data Concepts (25–30%) — structured/semi-structured/unstructured data, OLTP vs OLAP, batch vs stream processing, data roles, file formats, ACID properties• Identify Considerations for Relational Data on Azure (20–25%) — Azure SQL Database, SQL Managed Instance, SQL Server on Azure VMs, open-source databases, SQL statements, database objects• Describe Considerations for Working with Non-Relational Data on Azure (15–20%) — Azure Blob Storage, Azure Files, Azure Table Storage, Azure Queue Storage, Azure Cosmos DB and its APIs• Describe an Analytics Workload on Azure (25–30%) — Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Azure HDInsight, Azure Stream Analytics, Event Hubs, Power BIEvery question includes:• A detailed explanation of why each answer is correct or incorrect• A key point reinforcing the single most important concept tested by that question• A difficulty rating — Easy (foundational recall) or Intermediate (scenario-based reasoning)What the DP-900 Exam TestsThe Microsoft DP-900 certification validates foundational knowledge of core data concepts and Microsoft Azure data services. It is designed for candidates beginning to work with data in the cloud — no SQL programming or data engineering experience is required. A score of 700 out of 1,000 is required to pass. The exam covers relational and non-relational data, the difference between transactional and analytical workloads, and the Azure services that support each.A Note on Exam CurrencyThis practice test series is aligned to the August 4, 2022 skills measured update published by Microsoft — the current and most recent

What you'll learn

  • understand core data concepts and their applications
  • identify Azure services for relational data
  • describe considerations for non-relational data
  • recognize components of analytics workloads on Azure

Skills you'll gain

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