Career Potential with Microsoft DP-900 Exam
The Microsoft Certified: Azure Data Fundamentals certification is a foundational certificate but the candidates can still get a lucrative job holding it. Some of the positions that the certified professionals can consider include an IT Administrator, a Systems Administrator, a Junior Data Analyst, a Program Manager, and an Azure Security Engineer. The salary potential for these job roles is an average of $57,630 per annum.
Believe it or not, we face the more intense society, and we should prompt our competitiveness and get a Microsoft Azure Data Fundamentals (DP-900 Deutsch Version) certification to make our dreams come true. Although it is not an easy thing to achieve it, once you choose our Microsoft Azure Data Fundamentals (DP-900 Deutsch Version) prepare torrent, we will send the new updates for one year long, which is new enough to deal with the exam for you and guide you through difficulties in your exam preparation.
How to operate with relational data on Azure
Here, the candidate should be equipped with knowledge and skills in the following sub domains:
- Data querying techniques that require utilizing SQL language – it deals with the Data Manipulation Language (DML) and Data Definition Language (DDL) as well as querying relational data on Azure SQL DB.
- Relational data workloads – the candidate has to gain skills in identifying the appropriate data offerings when it comes to relational workload and learn more about structures of relational data.
- Relational Azure data services – this section of the exam is focused on the following: the understanding of IaaS, SaaS and PaaS solutions and their comparison, Azure SQL DB services such as Azure SQL managed instance and Azure virtual machine, Azure Synapse Analytics, and Azure Database for MariaDB, PostgreSQL and for MySQL.
- Identification of basic management roles for relational data – under this sub domain there are several skills covered that include the deployment and provisioning of relational data, various deployment methods such as Azure Resource Manager templates, Azure portal, Azure command-line interface (CLI), etc. Also, one should be knowledgeable in data components identification (authentication and firewall), the identification of basic connectivity problems such as accessing Azure VNets, firewalls, access from the internet and authentication). One more knowledge area involved is query tools (SQL Management Studio, Azure Data Studio, utility, sqlcmd etc.).
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.
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So, What Is the Verdict?
The Microsoft Certified: Azure Data Fundamentals validation pushes candidates to secure a job as a data engineer, data analyst, database administrator, and developer. All of these positions will come with massive earnings and diverse career prospects. But, obtaining this Microsoft designation is going to be tricky since candidates need to go through DP-900 exam. Still, because of countless books found on Amazon plus the endorsed Microsoft preparation program, toppling this exam will become a simple walk in the park!
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
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Microsoft DP-900 Deutsch Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Core Data Concepts | 25-30% | - Roles and responsibilities in data work - Data analytics workloads overview - Types of core data workloads - Relational vs non-relational data |
| Topic 2: Analytics Workloads in Azure | 25-30% | - Data ingestion and processing - Data analytics concepts - Data visualization and reporting - Azure analytics services
|
| Topic 3: Relational Data in Azure | 20-25% | - Relational data concepts - Azure relational data services
|
| Topic 4: Non-Relational Data in Azure | 15-20% | - Non-relational data concepts - Azure storage services
|

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