Rating 4.94 out of 5 (16 ratings in Udemy)
What you'll learn- Design and Implement Data Storage
- Design and Develop Data Processing
- Design and Implement Data Security
- Monitor and Optimize Data Storage and Data Processing
DescriptionThis practice test is designed to help you and your team develop the skills necessary to pass the Microsoft Azure DP-203 certification exam.
Azure DP-203 Exam Objectives
Rating 4.94 out of 5 (16 ratings in Udemy)
What you'll learn- Design and Implement Data Storage
- Design and Develop Data Processing
- Design and Implement Data Security
- Monitor and Optimize Data Storage and Data Processing
DescriptionThis practice test is designed to help you and your team develop the skills necessary to pass the Microsoft Azure DP-203 certification exam.
Azure DP-203 Exam Objectives
Design and Implement Data Storage (40-45%)
Design and Develop Data Processing (25-30%)
Design and Implement Data Security (10-15%)
Monitor and Optimize Data Storage and Data Processing (10-15%)
Design a partition strategy
design a partition strategy for files
design a partition strategy for analytical workloads
design a partition strategy for efficiency/performance
design a partition strategy for Azure Synapse Analytics
identify when partitioning is needed in Azure Data Lake Storage Gen2
Design the serving layer
design star schemas
design slowly changing dimensions
design a dimensional hierarchy
design a solution for temporal data
design for incremental loading
design analytical stores
design metastores in Azure Synapse Analytics and Azure Databricks
DP-203: Microsoft Azure Data Engineer Associate exam is one of the recent additions in the Azure role-based certification model. These full-length mock tests with 185 different questions.
We offer the following resources to supplement your experience and help you prepare for DP-203: Microsoft Azure Data Engineer Associate Certification, after passing DP-203 exam, you will earn the Microsoft Azure Data Engineer Associate certification.
These practice sets measure your ability to accomplish the following technical tasks: design and implement data storage, design and develop data processing, design and implement data security, monitor and optimize data storage, data processing and governance–this role should manage how decisions in each area affect an overall solution.