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

Posted By: ELK1nG
DP-900: Microsoft Azure Data Fundamentals Video Course + Qus

DP-900: Microsoft Azure Data Fundamentals Video Course + Qus
MP4 | Video: h264, 1280x720 | Audio: AAC, 44100 Hz
Language: English | Size: 3.34 GB | Duration: 10h 59m

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

Requirements
This is basic course and so no prerequisite is required
However previous database knowledge or experience would help student to understand course quickly

Description
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.

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

Exam Duration 60 Minutes

Exam Type Multiple Choice Examination

Number of Questions 40 - 60 Questions

Exam Fee $99 (Depends on Country)

Eligibility/Pre-requisite None

Exam validity Lifetime

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.

Who this course is for:
Those who want to pass the Microsoft exam DP-900
Those who want to enter in to Azure Cloud Data related profiles like Data Engineer, Data Scientist, Data Analyst etc