Brand new practice tests for the DP-900 Azure Data Fundamentals exam. Multiple separate timed tests of 36 questions each to be solved in 45 minutes. All original material not found anywhere else.

Azure Data Fundamentals exam is an opportunity to prove knowledge of relational and non-relational data, and different types of data workloads such as transactional or analytical. Candidates should be familiar with the general technology concepts, including concepts like database & workloads.

DP-900 Exam will measure your skills based on the following four skills

• Describe core data concepts (15-20%)

• Describe how to work with relational data on Azure (25-30%)

• Describe how to work with non-relational data on Azure (25-30%)

• Describe an analytics workload on Azure (25-30%)

Each Practice set contains

• 36 questions from four categories, one-hour duration

• a balanced number of random questions to cover each category

• Questions are as per actual exam format

• A detailed explanation of each correct and incorrect answer

• Reference diagrams to explain the topic

• Reference links for further studies

  
  

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.

  
  

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