Nux Solutions whatsapp

Microsoft Certified: Azure Data Engineer - Associate Exams DP-200 and DP-201 Training and Certification


Nux software Solutions offers the best Training on Microsoft Azure Data Engineer - Associate Exams DP-200 and DP-201

Microsoft Azure Data Engineer - Associate Exams DP-200 and DP-201 is one of the best cloud solutions available and in order to be an expert on this particular application Nux software Solutions is your one-stop destination. Over the years, we have been one of the premium institutes when it comes to rendering quality training in various domains of IT. We have a team of experts and highly qualified faculties who have been rendering quality training to our students.

The Microsoft Azure Data Engineer - Associate Exams DP-200 and DP-201

At Nux software Solutions, we have designed a highly customized and effective course material that is based in lab work and lots of hands-on application. We have made sure that our students got maximum practical exposure that would help them to achieve their goals in the professional fields.


Microsoft Certified Azure Data Engineer - Associate Exams DP-200 and DP-201 Syllabus


Course DP-200T01-A: Implementing an Azure Data Solution

MODULE 1 :
Azure for the Data Engineer

MODULE 2 :
Working with Data Storage

MODULE 3 :
Enabling Team Based Data Science with Azure Databricks

MODULE 4 :
Building Globally Distributed Databases with Cosmos DB

MODULE 5 :
Working with Relational Data Stores in the Cloud

MODULE 6 :
Performing Real-Time Analytics with Stream Analytics

MODULE 7 :
Orchestrating Data Movement with Azure Data Factory

MODULE 8 :
Securing Azure Data Platforms

MODULE 9 :
Monitoring and Troubleshooting Data Storage and Processing


Course DP-201T01-A: Designing an Azure Data Solution

MODULE 1 :
Data Platform Architecture Considerations

MODULE 2 :
Azure Batch Processing Reference Architectures

MODULE 3 :
Azure Real-Time Reference Architectures

MODULE 4 :
Data Platform Security Design Considerations

MODULE 5 :
Designing for Resiliency and Scale

MODULE 6 :
Design for Efficiency and Operations