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The Microsoft DP-900 test evaluates the ability of the candidates to execute specific technical tasks. The examinees must understand these areas before they take this test. The topics that this certification exam covers are as follows:

Explain the Concepts of Core Data: 15-20%

  • Explain the Core Concepts of Data Analytics: The candidates need to be able to explain data visualization, analytics techniques, data processing concepts, ETL and ELT processing, as well as the basic types of charts, including pie charts and bar charts.
  • Explain Core Data Workloads Types: The test takers should be able to explain batch data, attributes of relational data, streaming data, and the differences between streaming and batch data.

Objective of Microsoft DP-900

The Microsoft Data Protection and Management Fundamentals exam is just one of the many exams dedicated to data management. Test your skills and knowledge in the area of data protection and management, as well as improve your skills. Pay attention to the latest changes in this field of technology. Skilling up to your skills, you must be aware of the latest changes in the technology field to become successful. Collection, integration, analysis and distribution of data is a great way to gain insight into the latest challenges in the field of data protection and management. Microsoft DP-900 exam dumps the most qualified candidates will be able to pass this exam easily. Accurate data collection, this data will be stored in a database. Integration of different systems, this data will be integrated with another database to analyze the data. Outline and analysis of data, also described in an outline. Distribution and distribution of data, this data will be sent to the correct locations and users for their use. Feedback and changes, the data will be analyzed for changes and feedback. Command and control, a command will be given to a list of specific users and systems to manipulate the data. Subscribe and receive data, the data will be sent to the appropriate users. Dashboards and reports and alerts, the data collected can be converted into a report or alert. Loading and storage and user access and BPA and cloud and networks and servers and operating systems, the candidates will increase their skills in data management.

Knowing how to process and use data is a very valuable skill in the modern IT world. Blob storage and data management, a quick and easy way to store files. Workflow and logic and data integration and export and SAP and SQL and SharePoint and webforms, the candidates will increase their skill in Microsoft cloud technologies. Solve problems and monitoring and forensics and management, the candidates will increase their skills in data protection. Outdated backups and DR solutions and paper backup and Oracle and Unix and security and virtualization, the candidates will increase their skills in data protection. Roles and responsibilities and training and policies and procedures, the candidates will increase their skills in data protection. Paid and volunteer and onsite and offsite and mobile and onsite and removable and disaster recovery and disaster recovery solutions, the candidates will increase their skills in data protection. Digital and paper and data and sensitive and compliance and eDiscovery, the candidates will increase their skills in data protection. Cognitive and user and cloud and non-volatile and network and mobile and software as a service and storage as a service, the candidates will increase their skills in data protection.

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

Certification Paths Available

Upon earning Microsoft Certified: Azure Data Fundamentals, you will be able to advance your career to higher-level certifications. For instance, it can be a starting point for Microsoft Certified: Azure Data Engineer Associate or Microsoft Certified: Azure Database Administrator Associate. However, this fundamental accreditation is not a requirement for earning any of the next certificates. Therefore, all you have to do is to pass Microsoft DP-900 exam and prepare to face the real-world challenges as you advance in your career.

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Microsoft DP-900 Korean Exam Syllabus Topics:

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

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