How to book the Microsoft DP-900: Microsoft Azure Data Fundamentals Exam

• Step 1: Visit Microsoft Learning and search for DP-900: Microsoft Azure fundamentals.
• Step 2: Sign up/log in to the Pearson VUE account
• Step 3: Select a local center based on your country, date, time and confirm with a payment method.

The Microsoft DP-900 exam is intended for candidates who already have foundational knowledge and skills in performing basic tasks and using Microsoft Azure data services. It is also recommended for those who are starting their careers in the field of cloud data. Although there are no strict prerequisites, every individual who desires to take DP-900 test should have familiarity with non-relational and relational data as well as various types of data workloads such as analytical and transactional.

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Explain Analytics Workloads on Azure: 25-30%

• Explain Analytics Workloads: The applicants should be able to explain transactional workloads, data warehousing workloads, and when data warehouse solutions are needed. This subtopic also covers their skills and knowledge associated with the differences between analytics and a transactional workload as well as the differences between real-time and batch.
• Explain Modern Data Warehouse Components: The test takers should understand Azure data services for the latest data warehousing, including Azure Synapse Analytics, Azure HDInsight, Azure Data Lake, and Azure Databricks, as well as explainin the workload and architecture for modern data warehousing.
• Explain Data Visualization within Microsoft Power BI: You need to have competence in explaining the function of dashboards, interactive reports, and paginated reporting, as well as the workflow within Power BI.
• Explain Data Processing & Ingestion on Azure: The learners should be able to explain the fundamental practices for data loading, Azure Data Factory components, and data processing options.

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900

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Skills measured

• Describe how to work with relational data on Azure (25-30%)
• Describe an analytics workload on Azure (25-30%)
• Describe core data concepts (15-20%)
• Describe how to work with non-relational data on Azure (25-30%)

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