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Microsoft DP-900 or Microsoft Azure Data Fundamentals Exam is an entry-level certification exam designed to validate your knowledge of fundamental concepts relating to data storage, processing, and analysis in the Microsoft Azure cloud environment. DP-900-KR exam is ideal for individuals who want to start their career in the data and analytics domain and wish to gain a fundamental understanding of data services on Azure.

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The Importance of Microsoft DP-900 Certification

The importance of Microsoft DP-900 certification is to evaluate the skills level of candidates. Learning and keeping up to date on modern technology tools can be just as crucial as the knowledge and skills that you earn in a professional setting. Ddl and Db, and data storage and data security principles. Utility of knowledge, the candidates will get a better understanding of the industry and get a better chance to determine what they can do with their skills. Bit knowledge in this field can provide you with more job opportunities in the field of data management. Warehousing environment, Azure is the leading cloud provider. If you are interested in data management within the Microsoft Azure cloud, consider preparing your skills with this exam. Architecture and design of workloads in Azure, Azure Data Factory, and analytics. Troubleshooting Azure, Azure availability sets for virtual machines, Azure Resource Manager. Gain a solid foundation in the implementation and benefits of deploying a DaaS solution across a range of industries. Prepared for Azure Data Storage Fundamentals Exam, you will get the skills to work with cloud storage features in Microsoft Azure. Microsoft DP-900 exam dumps is fast, easy and reliable for the preparation of the exam. Sqlcmd and SQL server replication and availability groups, and maintenance plans for SQL Server.

Deploying SQL Server on Azure, Virtual networks for cloud computing, monitoring Microsoft Azure Infrastructure. Career growth for individuals interested in learning about Microsoft Azure data storage, Microsoft DP-900 exam is a great place to start. Moment, individuals who are interested in cloud computing, data security and storage, data analytics, business intelligence or developers. Start your career growth by passing the exam for this technology. Friendly and inviting cloud technology with Azure Data Storage, it is an excellent place to start your career growth. Secure data management, cloud data storage are hard to get. With Microsoft DP-900 exam, you get the chance to get the training and skills required for this technology. Classroom and on-site training, courses and seminars on this topic provided for the candidates interested in learning about Data Storage. Updates and refresher training, take advantage of the opportunity for continuous learning and improve your skills. Paying attention to industry trends and technology, with Microsoft DP-900 Exam, you can focus on the fundamentals of data management. Captcha and VM and virtual machines and storage, cloud and on-premises data management. Leaders in the field of technology, Microsoft has a history of driving technology forward and creating opportunities for individuals who want to learn more about cloud computing. Innovation and new ideas, get the opportunity to get new ideas and innovations in the industry.

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

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

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Microsoft DP-900 Korean Exam Syllabus Topics:

SectionWeightObjectives
Describe an analytics workload on Azure25–30%- Describe Azure analytics services
  • 1. Azure Synapse Analytics
    • 2. Azure HDInsight
      • 3. Azure Data Lake Storage Gen2
        • 4. Azure Databricks
          • 5. Microsoft Fabric
            - Describe big data and analytics concepts
            • 1. Modern data warehouse architecture
              • 2. Data lakes and data warehouses
                • 3. Data ingestion and processing
                  - Describe data visualization
                  • 1. Data models and reports
                    • 2. Power BI capabilities
                      - Describe real-time analytics
                      • 1. Stream processing concepts
                        • 2. Azure Stream Analytics
                          Describe core data concepts25–30%- Describe data workloads
                          • 1. Batch and streaming data
                            • 2. Transactional workloads
                              • 3. Analytical workloads
                                - Describe types of data
                                • 1. Structured, semi-structured, and unstructured data
                                  • 2. File formats
                                    - Describe roles and responsibilities
                                    • 1. Data engineer, data analyst, database administrator
                                      Describe considerations for working with non-relational data on Azure15–20%- Describe Azure Cosmos DB
                                      • 1. APIs and data models
                                        • 2. Capabilities and features
                                          • 3. Consistency levels and partitioning
                                            - Describe Azure storage services
                                            • 1. Blob Storage
                                              • 2. Queue Storage
                                                • 3. Table Storage
                                                  • 4. File Storage
                                                    - Describe non-relational data concepts
                                                    • 1. Characteristics of NoSQL data
                                                      • 2. Use cases for non-relational data
                                                        Identify considerations for relational data on Azure20–25%- Describe relational data concepts
                                                        • 1. Query data with SQL
                                                          • 2. Normalization
                                                            • 3. Relationships, keys, constraints
                                                              - Describe Azure relational data services
                                                              • 1. SQL Server on Azure Virtual Machines
                                                                • 2. Azure SQL Database
                                                                  • 3. Azure SQL Managed Instance
                                                                    • 4. Open-source databases: PostgreSQL, MySQL, MariaDB

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