DP-900Exam Domain

Analytics Workloads on Azure (25–30%)DP-900 Study Guide

42 chapters
~1050 min total
Free — no signup required

Analytics Workloads on Azure (25–30%) Chapters

10

Azure Synapse Analytics

Objective 3.1 · Analytics

25m
11

Azure Data Factory

Objective 3.2 · Analytics

25m
12

Azure Databricks

Objective 3.3 · Analytics

25m
13

Power BI Fundamentals

Objective 3.4 · Analytics

25m
14

Real-Time Analytics on Azure

Objective 3.5 · Analytics

25m
27

Azure HDInsight

Objective 3.1 · Analytics

25m
28

Azure Data Lake Storage Gen2

Objective 3.1 · Analytics

25m
29

Azure Stream Analytics

Objective 3.5 · Analytics

25m
30

Microsoft Fabric Overview

Objective 3.1 · Analytics

25m
31

Power BI: Reports vs Dashboards vs Datasets

Objective 3.4 · Analytics

25m
32

Power BI Gateway for On-Premises Data

Objective 3.4 · Analytics

25m
59

Data Warehouse Concepts: Facts and Dimensions

Objective 3.1 · Analytics

25m
60

Synapse Dedicated vs Serverless SQL Pools

Objective 3.1 · Analytics

25m
61

Azure Synapse Spark Pools

Objective 3.1 · Analytics

25m
62

Azure Synapse Link for Cosmos DB

Objective 3.1 · Analytics

25m
63

Delta Lake Format in Azure

Objective 3.1 · Analytics

25m
64

Bronze, Silver, Gold Medallion Architecture

Objective 3.1 · Analytics

25m
65

Azure Data Factory Activities and Pipelines

Objective 3.2 · Analytics

25m
66

ADF Triggers: Scheduled, Tumbling, Event-Based

Objective 3.2 · Analytics

25m
67

Databricks Notebooks and Clusters

Objective 3.3 · Analytics

25m
68

Databricks Delta Live Tables

Objective 3.3 · Analytics

25m
69

Power BI Datasets and Dataflows

Objective 3.4 · Analytics

25m
70

DAX Formulas and Measures in Power BI

Objective 3.4 · Analytics

25m
71

Power BI Service vs Power BI Desktop

Objective 3.4 · Analytics

25m
72

Row-Level Security in Power BI

Objective 3.4 · Analytics

25m
73

Azure Event Hubs for Streaming Data

Objective 3.5 · Analytics

25m
74

Stream Analytics SQL Queries and Windows

Objective 3.5 · Analytics

25m
75

Lambda and Kappa Data Architectures

Objective 3.5 · Analytics

25m
76

Data Lakehouse vs Data Warehouse vs Data Lake

Objective 3.1 · Analytics

25m
77

Azure Data Lake Storage Gen2 Hierarchical Namespace

Objective 3.1 · Analytics

25m
78

HDInsight Hadoop and MapReduce

Objective 3.1 · Analytics

25m
79

Microsoft Fabric: OneLake and Workspaces

Objective 3.1 · Analytics

25m
84

Azure Data Share for Sharing Datasets

Objective 3.2 · Analytics

25m
85

Azure AI Search for Unstructured Data

Objective 3.5 · Analytics

25m
89

Search Indexes and Full-Text Search Concepts

Objective 3.5 · Analytics

25m
90

BigQuery vs Azure Synapse Analytics

Objective 3.1 · Analytics

25m
92

Power BI Premium vs Pro Licensing

Objective 3.4 · Analytics

25m
94

Azure Analysis Services

Objective 3.4 · Analytics

25m
96

PolyBase and External Tables in Synapse

Objective 3.1 · Analytics

25m
97

Azure IoT Hub and Telemetry Ingestion

Objective 3.5 · Analytics

25m
100

Apache Spark Core Concepts for DP-900

Objective 3.3 · Analytics

25m
101

Data Warehouse Distribution: Hash, Round-Robin, Replicated

Objective 3.1 · Analytics

25m

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Test your Analytics Workloads on Azure (25–30%) knowledge

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