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What Are the Exam Topics?
Core data concepts
This topic majorly addresses the following skills:
- Main concepts of data analytics – data visualization, business intelligence (BI), analytics techniques (diagnostic, predictive, descriptive, cognitive, prescriptive) and basic chart types such as pie charts and bar charts are the main concepts addressed in this category. Also, data processing techniques are covered along with ETL processing.
- Various data workloads – this involves an overview of the features of relational data as well as the description, similarities and differences between streaming data and batch data as well as.
The Microsoft DP-900 exam is intended for candidates who already have foundational knowledge and skills in performing basic tasks and using Microsoft Azure data services. It is also recommended for those who are starting their careers in the field of cloud data. Although there are no strict prerequisites, every individual who desires to take DP-900 test should have familiarity with non-relational and relational data as well as various types of data workloads such as analytical and transactional.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
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How to operate with non-relational data on Azure
The main concepts covered in this domain include:
- Core administration tasks – this sub-domain covers the processes of deployment and provisioning when it comes to non-relational data, data security, diverse tools for management, and defining the issues with connectivity.
- Offerings non-relational data on Azure – within this topic, the learner will be conversant with the following in Azure: data services, Cosmos DB APIs, Table storage, Blob storage, File storage.
- Non relation data workloads – this sub-section mostly emphasizes the features of non-relational data, when to use it, one's knowledge of the variants of NoSQL and non-relational data, and the ability to choose and recommend appropriate data store.
For more info read reference:
Microsoft learning site Administer infrastructure resources in Azure Azure Storage Azure Network
Microsoft DP-900 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Analytics Workloads in Azure | 25-30% | - Data ingestion and processing - Data visualization and reporting - Data analytics concepts - Azure analytics services
|
| Topic 2: Non-Relational Data in Azure | 15-20% | - Data processing options for non-relational data - Azure storage services
|
| Topic 3: Relational Data in Azure | 20-25% | - Querying relational data - Relational data concepts - Azure relational data services
|
| Topic 4: Core Data Concepts | 25-30% | - Roles and responsibilities in data work - Types of core data workloads - Data analytics workloads overview - Relational vs non-relational data |





