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DP-900 Microsoft Azure Data Fundamentals

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12 Labs

This track consists of 12 labs, each provided as a separate lab instance, and has to be completed in one uninterrupted session. Once you launch a lab, your session time begins. The estimated duration to complete each lab is around 1 hour. This track and all associated labs will be available for 30 days once you redeem the voucher code. After 30 days, all labs and related data will be automatically deleted from the CloudLabs portal.

About Course

Introducing DP-900 Hands-on Lab, a practical and immersive learning experience offered by CloudLabs. This lab is specifically designed to provide participants with practical knowledge and skills in understanding the fundamental concepts of data and AI solutions in Microsoft Azure. The lab focuses on key Azure services such as Azure Synapse Analytics, Azure Cognitive Services, and Azure Bot Services. Participants will gain practical skills in performing advanced analytics and big data processing using Azure Synapse Analytics, leveraging pre-built AI capabilities with Azure Cognitive Services, and building conversational AI solutions with Azure Bot Services.
During the lab, participants will have the opportunity to explore various aspects of data and AI services in Azure, including data storage, data processing, and machine learning. They will gain hands-on experience in tasks such as provisioning Azure resources, ingesting and transforming data using Azure Data Factory, and building and training machine learning models using Azure Machine Learning.

Hands-on Labs Covered

  • Explore Azure SQL Database
  • Explore Azure Database for PostgreSQL
  • Explore Azure Database for MySQL
  • Explore Azure Storage
  • Explore Azure Cosmos DB
  • Explore Azure Synapse Analytics
  • Explore data analytics in Microsoft Fabric
  • Explore Azure Steam Analytics
  • Explore Spark Streaming in Azure Synapse Analytics
  • Explore Azure Synapse Data Explorer
  • Explore real-time analytics in Microsoft Fabric
  • Visualize data with Power BI

Audience

  • Data Engineer

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