DP-203 Exam Dumps: The Best Study Materials for Microsoft Power Automate Certification

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Download the latest and valid DP-203 questions to help you prepare for this exam

What skills are measured in the latest Microsoft DP-203 exam?
Here are the skills measured in the form of program content: DP-203.
Design and implement data storage – (40%-45%)
This part is divided into six subareas as follows
Design a data storage structure.
Includes the following program content.
Design an Azure Data Lake solution, Recommendation of file types to store., Recommend file types for analytical queries, Design for effective consultations, Design for data pruning., Design a folder structure that can represent the extent and level of transformed data., Design a distribution strategy., Design of a data archiving solution., Design a partition strategy, Design a file partition strategy.

Design a partitioning strategy for analytical workloads, Design of an efficiency/performance partitioning strategy., Design a partition strategy for Azure Synapse Analytics DP-203 exam dumps, Identify scenarios where partitioning is required for Azure Data Lake Storage Gen2, Service layer design, Design star schemas.

Slowly Changing Design Dimensions, Design a dimensional hierarchy, Design a solution for temporary data., Design for incremental loading, Design analytical stores., Design metastores in Azure Synapse Analytics and Azure Databricks, Configuration of physical data storage structures., Implementing compression, Partition Implementation, Implement different table geometries with Azure Synapse Analytics groups, Set up data redundancy, Deployment of distributions, Configure data file, Implementation DP-203 dumps of logical data structures., Creating a temporary data solution, Building a slowly evolving dimension.

Building a logical folder structure, Building external tables, Implementation of file and folder structures for efficient data querying and pruning, Implementing the service layer, Data delivery in a relational star schema, Data delivery in Parquet files, Maintain metadata, Implementing a dimensional hierarchy, Design and develop data processing – (25%-30%)


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