DP-900: Microsoft Azure Data Fundamentals Video Course + Qus

Go to class
Write Review

DP-900: Microsoft Azure Data Fundamentals Video Course + Qus provided by Udemy is a comprehensive online course, which lasts for 11 hours worth of material. DP-900: Microsoft Azure Data Fundamentals Video Course + Qus is taught by Eshant Garg | AWS Certified Cloud Practitioner | LearnCloud.Info | 100,000+ Enrollments. Upon completion of the course, you can receive an e-certificate from Udemy. The course is taught in Englishand is Paid Course. Visit the course page at Udemy for detailed price information.

Overview
  • DP-900: Microsoft Azure Data Fundamentals || 10+ hrs of videos || 100% Syllabus Covered || 200+ Ques + 2 Practice Tests

    What you'll learn:

    • Students will be prepared for the DP-900 certification exam
    • Learn types of core data workloads concepts
    • Learn basics of 4 types of NoSQL databases and implementation NoSQL on Azure Platform (Cosmos DB APIs, Table, Blob and File storage)
    • Learn diff Relational databases and implementation on Azure (Azure SQL Database and Managed Instance)
    • Learn analytics workloads, including data warehouses, data ingestion and processing on Azure
    • Describe data visualization in Microsoft Power BI, including reports and dashboards

    The Microsoft Azure DP-900 exam is the best example of a basic level of qualification to prove your knowledge of core data services and Microsoft Azure data services. Applicants are looking for accurate information on the preparation of DP-900 exams due to the favorable job opportunities associated with Microsoft Azure details.

    1. Exam Name: Exam DP-900: Microsoft Azure Data Fundamentals

    2. Exam Duration 60 Minutes

    3. Exam Type Multiple Choice Examination

    4. Number of Questions 40 - 60 Questions

    5. Exam Fee $99 (Depends on Country)

    6. Eligibility/Pre-requisite None

    7. Exam validity Lifetime

    8. Exam Languages English, Japanese, Korean, and Simplified Chinese

    Areas Covered

    • Describe types of core data workloads, batch and streaming data, and core concepts of data analytics.

    • Describe relational data workloads, relational Azure data services such as comparing PaaS, IaaS, and SaaS delivery models.

    • Identify basic management tasks for relational data including provisioning and deployment of relational data services and describing query techniques for data using SQL language.

    • Describe non-relational data workloads and non-relational data offerings on Azure and describe provisioning and deployment of non-relational data services.

    • Describe analytics workloads and components of a modern data warehouse

    • Describe data ingestion and processing on Azure and data visualization in Microsoft Power BI


    Domains Covered in DP-900 Exam

    Another significant factor that all candidates should consider for the successful training of the DP-900 exam is the overview of the exam skills. Applicants with a better understanding of the exam topics and weighting of the exam domains can gain a general impression of the exam prior to their preparation. The following topics can be found in the DP-900 certification test.

    • Describing core data concepts- 15% to 20%

    • Describe the approaches to work with relational data on Azure- 25% to 30%

    • Describing approaches to work with non-relational data on Azure- 25% to 30%

    • Description of an Azure analytics workload- 25% to 30%

    The preparation guide for the DP-900 exam can become better with an outline of the subtopics covered in each domain. Here is a reflection on the subtopics you can find in different domains of the DP-900 certification exam.

    Domain 1: Describing core data concepts

    The subtopics in this domain are,

    • Describing types of core data workloads.

    • Describing core concepts of data analytics.

    Domain 2: Describe the approaches to work with relational data on Azure

    The subtopics in this domain are,

    • Description of relational data workloads.

    • Description of relational Azure data services.

    • Identification of basic management tasks for relational data.

    • Description of query techniques for data by leveraging SQL language.

    Domain 3: Describing approaches to work with non-relational data on Azure

    The subtopics in this domain are,

    • Describing non-relational data workloads.

    • Describing non-relational data offerings on Azure.

    • Identification of basic management tasks for non-relational data.

    Domain 4: Description of an Azure analytics workload

    The subtopics in this domain are,

    • Describing analytics workloads.

    • Describing the components of a modern data warehouse.

    • Description of data ingestion and processing on Azure.

    • Describing data visualization in Microsoft Power BI.