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Last Updated: Aug 09, 2026
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Microsoft Azure Data Fundamentals is an exam that identifies individuals who have the knowledge to work with Azure data storage features. Building on previous core principles of data management, Azure Data Fundamentals exam is designed to evaluate the ability of the candidate. Money designed to assess the skills level for both professionals and students. Determine the type of skills required for a particular situation, for example, a cloud administrator or a data analyst. Gen candidate will have to know the fundamentals of Data Management to work with Azure data storage, create tools to manage data, locate, protect and process it. Relevant topics in a data management environment, a certified candidate should understand. Dml, Db, protection tools through recovery, recovery strategies, documentation data management policies, data loss prevention tools to backup and recovery for backup recovery.
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Role of data center, it is to perform some of the most challenging tasks. Understand the workloads, you need to design and build your solutions. Learn about encryption, its advantages and considerations. Streaming and data flow, it is to sync the data in your system. Determining what makes up your data, getting insight into the different classes of information. Post this process, you need to use and architect your data solution. Learn to determine the appropriate size for your table and index structures. Managed Identities, it is to access the resource in the cloud. It is required to learn about configuration of Azure Cloud Identity. Powershell is to manage the Azure environment. Instance management is to orchestrate the deployment of an application to a cloud based infrastructure. Cli tools, it is to manage infrastructure services. Postgresql is to create, maintain, and manage database in the cloud. The objective of this exam is to test your knowledge on DP-900 exam questions. Links are provided in the study material that will take you to exact DP-900 certification exam question. Provisioning storage, it is to configure various storage options in the cloud. Scaleout solutions, it is to scale out database performance. Preps, these are preprocessing tasks that takes place while creating or enriching the data. Nosql databases, it is to manage the cloud datastore. Difference between cloud and on prem, it is to understand the importance of cloud architecture. Read the documents and online references provided in the practice exam. Love the practice exam, it is to be able to understand the entire certification study guide. Community cloud, it is to create the cloud instance in the community cloud.
By and large, candidates can incorporate the listed study guides from Amazon as they prepare for DP-900 so they have a better chance of passing the official test:
The Microsoft DP-900 exam is 60 minutes long and consists of 40-60 questions of various types. Some of these formats may include multiple choice, active screen, drag and drop, build list, best answer, short answer, and case studies, among others. The candidates can find the examples of these question types on the official website. This certification test is designed to evaluate the competence of the professionals in using non-relational and relational data on Azure, as well as the analytics workload that is available on Azure. The exam fee is $99 and the applicants must pay it before registering for and scheduling their test. To complete this exam on the first try, they must achieve at least 720 points on a scale of 100-1000. The languages available for this test include English, German, Korean, Spanish, French, Japanese, and Simplified Chinese.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Analytics Workloads in Azure | 25-30% | - Azure analytics services
- Data analytics concepts - Data ingestion and processing |
| Topic 2: Relational Data in Azure | 20-25% | - Querying relational data - Azure relational data services
|
| Topic 3: Core Data Concepts | 25-30% | - Types of core data workloads - Roles and responsibilities in data work - Relational vs non-relational data - Data analytics workloads overview |
| Topic 4: Non-Relational Data in Azure | 15-20% | - Non-relational data concepts - Data processing options for non-relational data - Azure storage services
|
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