Designing an Azure Data Solution Course (DP-201T01-A)


DP-201T01: Designing an Azure Data Solution Certification Training Course Overview

Designing an Azure Data Solution training course is designed for the Azure data engineers who are responsible for data related tasks that include ingesting, egressing, and transforming data from multiple sources using various services and tools. In this course, you will learn how to identify and meet data requirements while designing and implementing the management, monitoring, security, and privacy of data using the full stack of Azure services to satisfy business needs.

This course prepares you for Exam DP-201. Test your current knowledge Qubits42

Designing an Azure Data Solution Course (DP-201T01-A) (Duration : 16 Hours) Download Course Contents

Instructor - Led Online Training Fee For Both Group Training & 1-on-1 Training 900
Group Training

24,25 Apr GTR
02:00 AM - 10:00 AM CST
25,26,27,28 Apr GTR
05:00 AM - 01:00 PM CST
06,07 May GTR
10:30 PM - 06:30 AM CST
(4 Hours/Day)
GTR=Guaranteed to Run
1-on-1 Training (GTR)
4 Hours
8 Hours
Week Days
Week End


Start Time : At any time

12 AM
12 PM

Classroom training is available in select Cities
Classroom Training (Available: London, Dubai, India, Sydney, Vancouver)
Duration : On Request
Fee : On Request
On Request

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Course Modules

  • Core Principles of Creating Architectures
  • Design with Security in Mind
  • Performance and Scalability
  • Design for availability and recoverability
  • Design for efficiency and operations
  • Case Study
  • Lab : Case Study
  • Design with security in mind
  • Consider performance and scalability
  • Design for availability and recoverability
  • Design for efficiency and operations
  • Lambda architectures from a Batch Mode Perspective
  • Design an Enterprise BI solution in Azure
  • Automate enterprise BI solutions in Azure
  • Architect an Enterprise-grade Conversational Bot in Azure
  • Lab : Architect an Enterprise-grade Conversational Bot in Azure
  • Designing an Enterprise BI solution in Azure
  • Automate an Enterprise BI solution in Azure
  • Automate an Enterprise BI solution in Azure
  • Lambda architectures for a Real-Time Perspective
  • Architect a stream processing pipeline with Azure Stream Analytics
  • Design a stream processing pipeline with Azure Databricks
  • Create an Azure IoT reference architecture
  • Lab : Azure Real-Time Reference Architectures
  • Architect a stream processing pipeline with Azure Stream Analytics
  • Design a stream processing pipeline with Azure Databricks
  • Create an Azure IoT reference architecture
  • Defense in Depth Security Approach
  • Identity Management
  • Infrastructure Protection
  • Encryption Usage
  • Network Level Protection
  • Application Security
  • Lab : Data Platform Security Design Considerations
  • Defense in Depth Security Approach
  • Identity Protection
  • After completing this module, students will be able to:
  • Defense in Depth Security Approach
  • Identity Management
  • Infrastructure Protection
  • Encryption Usage
  • Network Level Protection
  • Application Security
  • Adjust Workload Capacity by Scaling
  • Optimize Network Performance
  • Design for Optimized Storage and Database Performance
  • Identifying Performance Bottlenecks
  • Design a Highly Available Solution
  • Incorporate Disaster Recovery into Architectures
  • Design Backup and Restore strategies
  • Lab : Designing for Resiliency and Scale
  • Adjust Workload Capacity by Scaling
  • Design for Optimized Storage and Database Performance
  • Design a Highly Available Solution
  • Incorporate Disaster Recovery into Architectures
  • Maximizing the Efficiency of your Cloud Environment
  • Use Monitoring and Analytics to Gain Operational Insights
  • Use Automation to Reduce Effort and Error
  • Lab : Design for Efficiency and Operations
  • Maximize the Efficiency of your Cloud Environment
  • Use Monitoring and Analytics to Gain Operational Insights
  • Use Automation to Reduce Effort and Error
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Course Prerequisites
  • Basic Computer Knowledge.

  • Design an Azure Data solution
  • Design Azure Cloud data warehouses
  • Design No-SQL Databases
  • Design Azure SQL Database
  • Design hybrid data scenarios
  • Design batch processing solutions
  • Design big data real-time processing solutions
  • Design integration solutions
  • Design source data access security
  • Design security for data policies and standards
  • Design a data retention policy
  • Design for Optimization
  • Design and implement a disaster recovery strategy
  • Design for High Availability

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