Microsoft Azure Data Fundamentals: DP-900

Microsoft Azure Data Fundamentals: DP-900 exam is an opportunity to demonstrate knowledge of core data concepts and related Microsoft Azure data services. Candidates for this exam should have familiarity with Exam DP-900’s self-paced or instructor-led learning material.

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Microsoft Azure Data Fundamentals (DP-900) is an entry-level certification course that provides a foundational understanding of core data concepts and services on Azure. The course is designed for individuals who are interested in pursuing a career in data analytics or data engineering, as well as for professionals who are already working with data and want to expand their skills to include cloud-based data solutions.

🟢 The course is divided into four main modules, each of which covers a specific set of concepts and services related to Azure data fundamentals. These modules are as follows:

✔ Core Data Concepts: This module provides an overview of the core data concepts, such as types of data, relational and non-relational databases, data processing, and data storage. You will learn about the different types of databases and their use cases, as well as how to process and store data using Azure services.

 Core Azure Data Services: This module focuses on the core Azure data services, including Azure Cosmos DB, Azure SQL Database, Azure Synapse Analytics, and Azure Data Lake Storage. You will learn about the features and capabilities of each service and how to use them to process and store data.

 Azure Data Analytics: This module covers the data analytics services available on Azure, such as Azure Stream Analytics, Azure Databricks, and Azure HDInsight. You will learn about the different types of data analytics, such as real-time analytics and batch processing, and how to use Azure services to perform these tasks.

 Azure AI and Machine Learning: This module provides an introduction to Azure AI and machine learning services, such as Azure Cognitive Services and Azure Machine Learning. You will learn about the different types of machine learning, such as supervised and unsupervised learning, and how to use Azure services to build and deploy machine learning models.


👉Objective Domains

🟢 Describe core data concepts (25—30%) 

✔ Describe ways to represent data 

  • Describe features of structured data
  •  Describe features of semi-structured
  •  Describe features of unstructured data

  Identify options for data storage 

  • Describe common formats for data files 
  • Describe types of databases 
✔ Describe common data workloads 
  •  Describe features of transactional workloads
  • Describe features of analytical workloads 
✔ Identify roles and responsibilities for data workloads

  • Describe responsibilities for database administrators
  • Describe responsibilities for data engineers 
  • Describe responsibilities for data analysts
🟢 Identify considerations for relational data on Azure (20—25%) 

 Describe relational concepts 

  • Identify features of relational data 
  • Describe normalization and why it is used 
  • Identify common structured query language (SQL) statements 
  • Identify common database objects 

 Describe relational Azure data services

  • Describe the Azure SQL family of products including Azure SQL Database, Azure SQL 
  • Managed Instance, and SQL Server on Azure Virtual Machines
  • Identify Azure database services for open-source database systems
🟢 Describe considerations for working with non-relational data on Azure (15—20%) 

 Describe capabilities of Azure storage

  • Describe Azure Blob storage
  • Describe Azure File storage
  • Describe Azure Table storage 

 Describe capabilities and features of Azure Cosmos DB

  • Identify use cases for Azure Cosmos DB
  •  Describe Azure Cosmos DB APIs
🟢 Describe an analytics workload on Azure (25—30%) 

 Describe common elements of large-scale analytics

  • Describe considerations for data ingestion and processing
  • Describe options for analytical data stores
  • Describe Azure services for data warehousing, including Azure Synapse Analytics, Azure Databricks, Azure HDInsight, and Azure Data Factory

Describe consideration for real-time data analytics

  • Describe the difference between batch and streaming data 
  • Describe technologies for real-time analytics including Azure Stream Analytics, Azure Synapse Data Explorer, and Spark structured streaming 

 Describe data visualization in Microsoft Power BI

  •  Identify capabilities of Power BI
  • Describe features of data models in Power BI
  • Identify appropriate visualizations for data


👨‍🎓👩‍🎓Audience :

The Microsoft Azure Data Fundamentals course is intended for individuals who are interested in data analytics or data engineering, as well as professionals who are already working with data and want to expand their skills to include cloud-based data solutions. This course is also suitable for IT professionals who want to understand how to use Azure services for data processing, storage, and analytics.


🤷‍♂️Why should you consider enrolling in Certification program?

🟢 Foundation in Cloud Data Concepts: The course provides a solid foundation in cloud data concepts and services available on Azure. This knowledge is essential for individuals who want to pursue a career in data analytics or data engineering.

🟢 Azure Data Services Expertise: The course focuses on the core Azure data services, including Azure Cosmos DB, Azure SQL Database, Azure Synapse Analytics, and Azure Data Lake Storage. This expertise is highly valued by organizations seeking to leverage cloud-based data solutions.

🟢 Career Advancement Opportunities: Achieving certification in Microsoft Azure Data Fundamentals can lead to career advancement opportunities, such as a data analyst or data engineer. It demonstrates to potential employers that you have a deep understanding of Azure data concepts and services.

🟢 Preparation for Advanced Certifications: This course provides a solid foundation for individuals who want to pursue advanced certifications in Azure data analytics, such as Microsoft Certified: Azure Data Scientist Associate or Microsoft Certified: Azure Data Engineer Associate.

🟢 Recognition and Credibility: Microsoft certification is globally recognized and respected in the industry. Achieving certification in Microsoft Azure Data Fundamentals demonstrates your credibility as a skilled professional in the field of data analytics and engineering.

🟢 Stay Ahead of the Curve: In today's rapidly evolving technology landscape, staying up-to-date with the latest developments and advancements is critical. This course provides you with the knowledge and skills needed to stay ahead of the curve in cloud-based data solutions.


🤟Expected Job Roles for Microsoft Azure Data Fundamentals: DP-900

The Microsoft Azure Data Fundamentals: DP-900 Certification program is designed to provide a foundational understanding of core data concepts and services on Azure. This knowledge is essential for individuals who want to pursue a career in data analytics or data engineering. Below are some of the expected job roles for individuals with Microsoft Azure Data Fundamentals: DP-900 certification:

🟢 Data Analyst: A data analyst is responsible for collecting, analyzing, and interpreting large sets of data to identify trends and insights that can inform business decisions. With the knowledge gained from this certification, you will be able to work with data services such as Azure Synapse Analytics and Azure Databricks to perform these tasks.

🟢 Data Engineer: A data engineer is responsible for designing and building data pipelines to move and transform data from various sources into a format that can be easily analyzed. With the knowledge gained from this certification, you will be able to work with data services such as Azure Data Lake Storage and Azure Cosmos DB to build these pipelines.

🟢 Business Intelligence Analyst: A business intelligence analyst is responsible for analyzing data to provide insights and recommendations that inform business decisions. With the knowledge gained from this certification, you will be able to work with data services such as Azure SQL Database and Azure Analysis Services to perform these tasks.

🟢 Cloud Data Solutions Architect: A cloud data solutions architect is responsible for designing and implementing data solutions that leverage cloud-based technologies. With the knowledge gained from this certification, you will be able to design solutions using Azure data services that meet business requirements.

🟢 Cloud Infrastructure Engineer: A cloud infrastructure engineer is responsible for deploying and managing cloud-based infrastructure, including data services. With the knowledge gained from this certification, you will be able to manage and optimize Azure data services to ensure their availability, reliability, and scalability.

Microsoft Azure Data Fundamentals: DP-900 Certification program provides individuals with a strong foundation in Azure data concepts and services, which can open doors to a variety of career paths in the field of data analytics and engineering.


👉Learning materials for Microsoft Certified Fundamentals

The pathway to certification success

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👉Practice tests for Microsoft 365 Fundamentals MS-900

CertPREP Practice Tests

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These performance-based assessment and test preparation tools help individuals achieve certification credentials. Many of your students will be anxious to assess their knowledge of applications prior to taking the certification exams. Additionally, we recognize the need for educators to properly assess an individual’s knowledge. Coursocity provides CertPREP Practice Tests that are powered by GMetrix.

CertPREP Practice Tests are customizable

CertPREP Practice Tests are customizable, allowing you to create a highly-effective environment conducive to student-centered learning. CertPREP Practice Tests offer two different modes:

🟢 Testing mode:

  • Students experience what the certification exams will be like
  • Timed practice tests present scenarios to perform just like the actual certification exam

🟢 Training mode:

  • Students work at their own pace as they receive feedback and step-by-step instructions for each question


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