MC Microsoft Certified Azure Data Fundamentals Study Guide: Exam DP-900

DP 900 certification

The DP-900 Microsoft Azure Data Fundamentals certification is designed for individuals who want to work in cloud computing, providing essential skills in cloud data processing. It acts as a cornerstone to developing a comprehensive knowledge of Microsoft Azure data processing, empowers those who want to use data more efficiently, and demonstrates business efficiencies. When preparing for DP 900 certification, XtremeLabs Marketplace provides detailed guidance and courses to ensure that you are fully prepared and informed throughout the preparation journey. Follow their trusted guide and stay updated.

DP-900 certification Benefits 

Earning a DP-900 certification offers many benefits. 

  • It acts as a gateway to pursue other valuable Azure certification types, such as Azure Database Administrator Associate and Azure Data Engineer Associate. 
  • Professionals with DP-900 certification are in high demand in Microsoft Azure services today. 
  • Having this prestigious credential on your resume gives you more weight, boosting your career prospects.
  •  Additionally, DP-900 certification can significantly increase salaries while enabling individuals to better understand employment opportunities than their peers.
  •  It not only validates your skills but also increases your income in the cloud computing industry.

Exam Criteria 

Microsoft Azure encourages widespread participation in its certification exams, so there are no prerequisites for enrolling. However, having foundational knowledge and skills increases the chances of passing with excellence.

  • Familiarity with data manipulation language (DML), data definition language (DDL), and Azure functions is also important for data architects and engineers aiming for this certification.
  • Understand the origins of relational and non-relational data under differentiation between occupations.
  • XtremeLabs Marketplace guide emphasizes the importance of understanding questions, formats, and paradigms as part of exam preparation.
  •  In addition, a solid understanding of storage containers and Microsoft Azure’s managed services is considered an important step in preparing for this certification exam.

Exam Topics 

For the preparation of DP 900 one important step on which one pays keen attention is covering domains of the exam. That will give you a direction for targeted preparation. Follow these topics in the comprehensive exam guide by XtremeLabs Marketplace with the sub-topics that are included in it: these are topics included in it:

  • Core data concepts 
  • Working with rational data on azure
  • Work with non-rational data on Azure 
  • Analytics of Azure workload 

Core Data Concepts

This initial area of ​​focus for DP-900 certification will be 20% of the exam. It consists of two small areas: 

  • Basic Data Work Types Understanding: Discusses the differences between data streams and batch data, focusing on their characteristics and differences, with a particular focus on relational data. 
  •  Concepts of Data Analysis: This subfield covers charts, data visualization techniques, analytical concepts, and basic Extract, Transform, Load (ETL) operations

Working with Rational Data on Azure

The second domain identified in the XtremeLabs Marketplace testing guide focuses on working with relational data in Azure, which accounts for about 30% of the testing. It includes the following sub-areas. 

  • Relational Data Performance: This discusses the structure and characteristics of relational data, and identifies the appropriate Azure offerings for processing it.
  •  Relationship Azure Services overview: Topics include Platform as a Service (PaaS), Infrastructure as a Service (IaaS), and Software as a Service (SaaS) delivery models 
  • Common Azure services include Azure Synapse Analytics and SQL Management. 
  • Managing Relational Data Activity: This subfield includes data security features and query tools needed to properly manage relational data. 
  • Methods Using SQL Language: This includes methods for querying relational data using SQL, which includes components such as Postgres SQL and Azure Data Definition Language (DDL).

Non Rational Data on Azure 

Another critical area for success on the DP-900 certification exam is working with non relational data in Azure, which accounts for about 30% of the exam. This domain includes the following topics.

  •  Identifying non-rational data projects: This requires understanding the types, features and use cases of non-rational data projects. 
  • Asynchronous Data Offering on Azure: This includes the Azure Cosmos DB APIs and Table Storage, examining their capabilities and suitability for managing associated data.
  • Role of applications for non-rational data: This topic covers the necessary roles specific to the application of disconnected data, with a focus on management and scheduling efficiencies within Azure’s ecosystem

Analytics of Azure Workload 

One of the key areas that requires preparation for the DP-900 certification is the presentation of the research projects on Azure, which make up about 25 to 30% of the exam. This area includes the following subtopics.

  • Overview of Analysis Workloads: This includes an overview of analytics workloads, focusing on their importance and functionality within Azure. 
  • Features of the modern data warehouse: Examination of the essential features and design of modern data warehouses, with emphasis on their role in data management and analysis. 
  • Data Processing and Intake in Azure: This subtopic focuses on the processes and tools for data processing and intake in Azure, ensuring data flow and maintenance Data Visualization in Microsoft Power BI: 
  • An overview of the capabilities and functionality of data visualization using Microsoft Power BI, including the role it plays in analytics and deriving insights from Azure data sources

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Bellawatson

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