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The phenomenal growth in data in recent years is fueling digital transformation of businesses and other organizations by empowering fast and informed decision making through data analytics. Microsoft Azure provides multiple services that you can combine to build large-scale analytics solutions that leverage the latest technologies and techniques for data ingestion, storage, modeling, and visualization. This learning path helps you prepare for the Azure Data Fundamentals certification.
This learning path helps prepare you for Exam DP-900: Microsoft Azure Data Fundamentals.
Before starting this learning path, you should have a fundamental understanding of core data concepts, relational data, and non-relational data.
Organizations use modern data warehousing to build large scale data analytics solutions that generate insights and drive success. Microsoft Azure includes multiple technologies that you can combine to build a modern data warehousing solution.
In this module, you will learn how to:
Before starting this module, you should have a conceptual understanding of data and databases, and be familiar with Microsoft Azure services for data workloads such as Azure Storage, Azure SQL Database, and Azure Cosmos DB.
Q1. Which Azure services can you use to create a pipeline for data ingestion and processing?
Q2. What must you define to implement a pipeline that reads data from Azure Blob Storage?
Q3. Which open-source distributed processing engine does Azure Synapse Analytics include?
Learn about the basics of stream processing, and the services in Microsoft Azure that you can use to implement real-time analytics solutions.
In this module, you’ll learn how to:
Before starting this module, you should have some conceptual understanding of modern data warehousing and analytics, and you should be familiar with Azure services for data workloads, including Azure Storage, Azure SQL Database, and Azure Synapse Analytics.
Q1. Which definition of stream processing is correct?
Q2. Which service would you use to continually capture data from an IoT Hub, aggregate it over temporal periods, and store results in Azure SQL Database?
Q3. Which language would you use to query real-time log data in Azure Synapse Data Explorer?
Learn the fundamental principles of analytical data modeling and data visualization, using Microsoft Power BI as a platform to explore these principles in action.
After completing this module, you will be able to:
Q1. Which tool should you use to import data from multiple data sources and create a report?
Q2. What should you define in your data model to enable drill-up/down analysis?
Q3. Which kind of visualization should you use to analyze pass rates for multiple exams over time?
I hope this Microsoft Azure Data Fundamentals: Explore data analytics in Azure Microsoft Quiz Answers would be useful for you to learn something new from this problem. If it helped you then don’t forget to bookmark our site for more Coding Solutions.
This Problem is intended for audiences of all experiences who are interested in learning about Data Science in a business context; there are no prerequisites.
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