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IMPLEMENTING AN AZURE DATA SOLUTION – DP 200

IMPLEMENTING AN AZURE DATA SOLUTION – DP 200 ONLINE TRAINING

The “Implementing an Azure Data Solution” certification exam, coded as DP-200, is a Microsoft certification that assesses a candidate’s ability to design and implement data solutions on the Microsoft Azure cloud platform. This certification is part of Microsoft’s Data Engineer Associate certification track. Earning the DP-200 certification demonstrates your expertise in designing and implementing data solutions on Azure.

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IMPLEMENTING AN AZURE DATA SOLUTION – DP 200 TRAINING IN PUNE | ONLINE

 

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Implement Data Storage Solutions

Implement non-relational data stores

– implement a solution that uses Cosmos DB, Data Lake Storage Gen2, or Blob storage
– implement data distribution and partitions
– implement a consistency model in Cosmos DB
– provision a non-relational data store
– provide access to data to meet security requirements
– implement for high availability, disaster recovery, and global distribution

Implement relational data stores

– provide access to data to meet security requirements
– implement for high availability and disaster recovery
– implement data distribution and partitions for Azure Synapse Analytics
– implement PolyBase

Manage data security

– implement data masking
– encrypt data at rest and in motion

 

Manage and Develop Data Processing

Develop batch processing solutions

– develop batch processing solutions by using Data Factory and Azure Databricks
– ingest data by using PolyBase
– implement the integration runtime for Data Factory
– create linked services and datasets
– create pipelines and activities
– create and schedule triggers
– implement Azure Databricks clusters, notebooks, jobs, and autoscaling
– ingest data into Azure Databricks

Develop streaming solutions

– configure input and output
– select the appropriate built-in functions
– implement event processing by using Stream Analytics

 

Monitor and Optimize Data Solutions

Monitor data storage

– monitor relational and non-relational data stores
– implement Blob storage monitoring
– implement Data Lake Storage Gen2 monitoring
– implement Azure Synapse Analytics monitoring
– implement Cosmos DB monitoring
– configure Azure Monitor alerts
– implement auditing by using Azure Log Analytics

Monitor data processing

– monitor Data Factory pipelines
– monitor Azure Databricks
– monitor Stream Analytics
– configure Azure Monitor alerts
– implement auditing by using Azure Log Analytics

Optimize of Azure data solutions

– troubleshoot data partitioning bottlenecks
– optimize Data Lake Storage Gen2
– optimize Stream Analytics
– optimize Azure Synapse Analytics
– manage the data lifecycle

 

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