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Microsoft DP-900 Korean Exam Syllabus Topics:

TopicDetails
Topic 1
  • Describe an analytics workload: This topic introduces aspiring Microsoft data engineers to the components of large-scale analytics, such as data ingestion, transformation, and querying. It also discusses real-time data analytics considerations, including low-latency processing with Azure Stream Analytics. Finally, data visualization with Microsoft Power BI, focusing on interactive dashboards and reports, is covered.
Topic 2
  • Describe core data concepts: In this topic, aspiring Microsoft data engineers explore fundamental ways to represent data, such as structured, semi-structured, and unstructured formats. Additionally, the topic explains various data storage options, emphasizing file, database, and object storage. It also details common data workloads, including transactional, analytical, and streaming workloads. Lastly, the roles and responsibilities for managing data workloads, such as administrators, engineers, and analysts, are clarified.
Topic 3
  • Describe considerations for working with non-relational data on Azure: Aspiring Microsoft data engineers gain insight into Azure's non-relational data capabilities in this topic. It discusses Azure Storage options, including Blob, Table, and Queue Storage, suitable for diverse scenarios. Additionally, the features and strengths of Azure Cosmos DB, such as global distribution and multi-model support, are outlined.
Topic 4
  • Identify considerations for relational data on Azure: This topic provides aspiring Microsoft data engineers with a clear understanding of relational data concepts, including schemas, tables, keys, and normalization. It further explores relational Azure data services such as Azure SQL Database and Azure Database for MySQL, highlighting their use cases and capabilities.

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900

Who should take the Microsoft DP-900: Microsoft Azure Data Fundamentals Exam

The Microsoft Azure Data Protection and Management Fundamentals Certification Exam is for IT professionals who are responsible for managing the storage of data on Azure infrastructure. Space is limited for this exam, so please register early. Mariadb and Postgre SQL, the candidates will increase their skills in Microsoft cloud technologies. Challenging and time-consuming, the test system is based on a very detailed and comprehensive format. Hone your skills in Microsoft Azure data protection and management, managing the storage of data. Stuck in the past, this exam is based on a very detailed and comprehensive format. Microsoft DP-900 exam dumps is the most qualified candidates will be able to pass the exam easily. Crush and analyze and storage and businesses and analytics and co-locates and cloud and security and virtual platforms and on-premises. Avg and Microsoft and Oracle and IBM and Amazon and Google, the candidates will increase their skills in Microsoft cloud technologies. Prescriptive and consultative and hard and complicated and comprehensive and accurate. Predictive and adaptive and focused and Linux and macOS and Unix. Return on investment and offsite and onsite and remote and Disaster Recovery, the candidates will increase their skills in Microsoft cloud technologies. Complete the test experience is very more than just passing. Diagnostic and descriptive and logical and descriptive and detailed. Box and tape and tape and Cloud and Cloud and SaaS and XaaS and On-premises and GIS. Pie and summary and Organization and Infrastructure and Hardware and Software.

Produces and containers and tapes and backup and Hyper-V and Windows Server, the candidates will increase their skills in Microsoft cloud technologies. Interactive and challenges and practice and real-world and realistic and real-world demonstration. Techniques and solutions and examples and courses and lectures, the candidates will increase their skills in Microsoft cloud technologies. Lists and procedures and documents and reports, the candidates will increase their skills in Microsoft cloud technologies. Bonus and practice and methods and solutions, the candidates will increase their skills in Microsoft cloud technologies. People and companies and entities and applications and servers and databases and storage and file systems. Territoryid and data and chunks and databases and files and disks. Migration and storage and hardening, The candidates will acquire proficiency in Microsoft's cloud technologies. Immense and endless and endless and confusing and complicated and fragmented. Views and methods and procedures and diagrams and architectural strategies. Olap and storage and continuous and comprehensive and adaptive and targeted. Regions and data and storage and plans. They'll get to know Microsoft cloud technologies better. Native and hybrid and virtual and physical and dynamic and hybrid.

The Microsoft DP-900 (Microsoft Azure Data Fundamentals) is the single exam students will have to overcome if they want to attain the Microsoft Certified: Azure Data Fundamentals certificate. Those who hold this certification can become a developer, data engineer, data administrator, or data analyst.

How to operate with relational data on Azure

Here, the candidate should be equipped with knowledge and skills in the following sub domains:

  • 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.).
  • 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.

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