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Microsoft DP-900 Exam Syllabus

Microsoft DP-900 Exam

Microsoft Azure Data Fundamentals

Total Questions: 167

What is Included in the Microsoft DP-900 Exam?

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Microsoft DP-900 Exam Overview :

Exam Name Microsoft Azure Data Fundamentals
Exam Code DP-900
Actual Exam Duration 60 minutes
Expected no. of Questions in Actual Exam 60
Exam Registration Price $99
Official Information https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
See Expected Questions Microsoft DP-900 Expected Questions in Actual Exam
Take Self-Assessment Use Microsoft DP-900 Practice Test to Assess your preparation - Save Time and Reduce Chances of Failure

Microsoft DP-900 Exam Topics :

Section Weight Objectives
Describe data ingestion and processing on Azure 25-30% - describe common practices for data loading
- describe the components of Azure Data Factory (e.g., pipeline, activities, etc.)
- describe data processing options (e.g., Azure HDInsight, Azure Databricks, Azure Synapse Analytics, Azure Data Factory)
Describe data visualization in Microsoft Power BI 25-30% - describe the role of paginated reporting
- describe the role of interactive reports
- describe the role of dashboards
- describe the workflow in Power BI
Describe the components of a modern data warehouse 25-30% - describe Azure data services for modern data warehousing such as Azure Data Lake Storage Gen2, Azure Synapse Analytics, Azure Databricks, and Azure HDInsight
- describe modern data warehousing architecture and workload
Describe analytics workloads 25-30% - describe transactional workloads
- describe the difference between a transactional and an analytics workload
- describe the difference between batch and real time
- describe data warehousing workloads
- determine when a data warehouse solution is needed
Identify basic management tasks for non-relational data 25-30% - describe provisioning and deployment of non-relational data services
- describe method for deployment including the Azure portal, Azure Resource Manager templates, Azure PowerShell, and the Azure command-line interface (CLI)
- identify data security components (e.g., firewall, authentication, encryption)
- identify basic connectivity issues (e.g., accessing from on-premises, access with Azure VNets, access from Internet, authentication, firewalls)
- identify management tools for non-relational data
Describe non-relational data workloads 25-30% - describe the characteristics of non-relational data
- describe the types of non-relational and NoSQL data
- recommend the correct data store
- determine when to use non-relational data
Describe non-relational data offerings on Azure 25-30% - identify Azure data services for non-relational workloads
- describe Azure Cosmos DB APIs
- describe Azure Table storage
- describe Azure Blob storage
- describe Azure File storage
Describe query techniques for data using SQL language 25-30% - compare Data Definition Language (DDL) versus Data Manipulation Language (DML)
- query relational data in Azure SQL Database, Azure Database for PostgreSQL, and Azure Database for MySQL
Identify basic management tasks for relational data 25-30% - describe provisioning and deployment of relational data services
- describe method for deployment including the Azure portal, Azure Resource Manager templates, Azure PowerShell, and the Azure command-line interface (CLI)
- identify data security components (e.g., firewall, authentication)
- identify basic connectivity issues (e.g., accessing from on-premises, access with Azure VNets, access from Internet, authentication, firewalls)
- identify query tools (e.g., Azure Data Studio, SQL Server Management Studio, sqlcmd utility, etc.)
Describe relational Azure data services 15-20% - describe and compare PaaS, IaaS, and SaaS solutions
- describe Azure SQL family of products including Azure SQL Database, Azure SQL Managed Instance, and SQL Server on Azure Virtual Machines
- describe Azure Synapse Analytics
- describe Azure Database for PostgreSQL, Azure Database for MariaDB, and Azure Database for MySQL
Describe relational data workloads 25-30% - identify the right data offering for a relational workload
- describe relational data structures (e.g., tables, index, views)
Describe types of core data workloads 15-20% - describe batch data
- describe streaming data
- describe the difference between batch and streaming data
- describe the characteristics of relational data
Describe data analytics core concepts 15-20% - describe data visualization (e.g., visualization, reporting, business intelligence (BI))
- describe basic chart types such as bar charts and pie charts
- describe analytics techniques (e.g., descriptive, diagnostic, predictive, prescriptive, cognitive)
- describe ELT and ETL processing
- describe the concepts of data processing

Updates in the Microsoft DP-900 Exam Syllabus:

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