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Microsoft DP-900 : Microsoft Azure Data Fundamentals exam Questions, MCQs and Practice Test

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Exam Number : DP-900
Exam Name : Microsoft Azure Data Fundamentals
Vendor Name : Microsoft
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Total MCQs : Check Questions

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DP-900 exam Format | DP-900 Course Contents | DP-900 Course Outline | DP-900 exam Syllabus | DP-900 exam Objectives


Test Detail:
The Microsoft DP-900 exam- also known as Microsoft Azure Data Fundamentals- is designed to assess the foundational knowledge and understanding of data concepts and core services on the Microsoft Azure platform. This certification is suitable for individuals who want to start a career in data-related roles or who need to work with data in their current roles.

Course Outline:
The course for Microsoft Azure Data Fundamentals covers various fundamental concepts and services related to data management and processing on the Azure platform. The following is a general outline of the key areas covered:

1. Introduction to Data Concepts:
- Understanding core data concepts- such as relational and non-relational data- structured and unstructured data- big data- and batch/streaming data.
- Exploring data processing and analytics techniques.

2. Core Azure Data Services:
- Overview of Azure data services- including Azure SQL Database- Azure Cosmos DB- Azure Data Lake Storage- and Azure Synapse Analytics.
- Introduction to Azure Data Factory and Azure Databricks.

3. Relational Data in Azure:
- Understanding Azure SQL Database and its features- such as deployment options- security- scalability- and performance.
- Exploring Azure Database for MySQL and Azure Database for PostgreSQL.

4. Non-Relational Data in Azure:
- Overview of Azure Cosmos DB and its features- including global distribution- scalability- and consistency models.
- Introduction to Azure Table Storage- Azure Blob Storage- and Azure Queue Storage.

5. Data Integration and Orchestration:
- Introduction to Azure Data Factory and its capabilities for data integration and orchestration.
- Overview of data ingestion and transformation using Azure Databricks.

6. Data Analytics and Visualization:
- Introduction to Azure Synapse Analytics (formerly SQL Data Warehouse) and its capabilities for data warehousing and analytics.
- Exploring Azure HDInsight and its support for big data processing.
- Overview of Power BI and its role in data visualization and reporting.

Exam Objectives:
The Microsoft DP-900 exam focuses on evaluating the candidate's knowledge and understanding of the following key areas:

1. Understand Core Data Concepts
2. Describe Core Azure Data Services
3. Describe how to work with Relational Data on Azure
4. Describe how to work with Non-Relational Data on Azure
5. Describe an Analytics workload on Azure

Exam Syllabus:
The exam syllabus for Microsoft Azure Data Fundamentals provides a detailed breakdown of the courses covered in each exam objective. It includes sub-topics- concepts- and specific tasks that candidates should be familiar with. The syllabus may cover the following areas:

- Data types and formats
- Azure SQL Database deployment models and security
- Azure Cosmos DB consistency models
- Azure Data Lake Storage and Azure Synapse Analytics concepts
- Azure Data Factory data integration and orchestration
- Azure Databricks for data ingestion and transformation
- Power BI data visualization and reporting



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