Home » IT & Software » [Udemy] DP-900: Microsoft Azure Data Fundamentals

[Udemy] DP-900: Microsoft Azure Data Fundamentals

February 1, 2023 IT & Software

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Description

This examination is a chance to show data of core information ideas and associated Microsoft Azure information providers. Candidates for this examination ought to have familiarity with Examination DP-900’s self-paced or instructor-led studying materials.

This examination is meant for candidates starting to work with information within the cloud.

Candidates needs to be conversant in the ideas of relational and non-relational information, and several types of information workloads similar to transactional or analytical.

Azure Data Fundamentals can be utilized to organize for different Azure role-based certifications like Azure Database Administrator Affiliate or Azure Data Engineer Affiliate, however it isn’t a prerequisite for any of them.

Expertise measured

· Describe core information ideas (25–30%)

· Establish concerns for relational information on Azure (20–25%)

· Describe concerns for working with non-relational information on Azure (15–20%)

· Describe an analytics workload on Azure (25–30%)

Purposeful teams

Describe core information ideas (25—30%)

Describe methods to signify information

· Describe options of structured information

· Describe options of semi-structured

· Describe options of unstructured information

Establish choices for information storage

· Describe frequent codecs for information information

· Describe kinds of databases

Describe frequent information workloads

· Describe options of transactional workloads

· Describe options of analytical workloads

Establish roles and obligations for information workloads

· Describe obligations for database directors

· Describe obligations for information engineers

· Describe obligations for information analysts

Establish concerns for relational information on Azure (20—25%)

Describe relational ideas

· Establish options of relational information

· Describe normalization and why it’s used

· Establish frequent structured question language (SQL) statements

· Establish frequent database objects

Describe relational Azure information providers

· Describe the Azure SQL household of merchandise together with Azure SQL Database, Azure SQL

· Managed Occasion, and SQL Server on Azure Digital Machines

· Establish Azure database providers for open-source database programs

Describe concerns for working with non-relational information on Azure (15—20%)

Describe capabilities of Azure storage

· Describe Azure Blob storage

· Describe Azure File storage

· Describe Azure Desk storage

Describe capabilities and options of Azure Cosmos DB

· Establish use instances for Azure Cosmos DB

· Describe Azure Cosmos DB APIs

Describe an analytics workload on Azure (25—30%)

Describe frequent parts of large-scale analytics

· Describe concerns for information ingestion and processing

· Describe choices for analytical information shops

· Describe Azure providers for information warehousing, together with Azure Synapse Analytics, Azure Databricks, Azure HDInsight, and Azure Data Manufacturing unit

Describe consideration for real-time information analytics

· Describe the distinction between batch and streaming information

· Describe applied sciences for real-time analytics together with Azure Stream Analytics, Azure Synapse Data Explorer, and Spark structured streaming

Describe information visualization in Microsoft Energy BI

· Establish capabilities of Energy BI

· Describe options of knowledge fashions in Energy BI

· Establish acceptable visualizations for information

Who this course is for:

• This examination is meant for candidates starting to work with information within the cloud.