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Explain the Techniques Involved in Working with Non-Relational Data on Microsoft Azure: 25-30%

  • Explain Offerings of Non-Relational Data on Azure: The individuals need to have competence in explaining Azure Table storage, Azure File storage, Azure data service for non-relational workloads, Azure Blob Storage, and Azure Cosmos DB APIs.
  • Identify the Fundamental Management Functions for Non-Relational Data: The examinees should have competence in explaining deployment and provisioning of non-relational data and the techniques for deployment. They also need the skills in identifying the components of data security, fundamental connectivity issues, and non-relational data management tools.
  • Explain Non-Relational Data Workloads: The candidates should be able to explain the attributes of non-relational data and types of NoSQL and non-relational data. They need to have expertise in recommending the appropriate data stores and establishing them to utilize non-relational data.

For more info read reference:

Microsoft learning site Administer infrastructure resources in Azure Azure Storage Azure Network

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What requirements should you fulfill before taking the Microsoft DP-900 exam?

The candidates for this certification exam are those individuals who want to validate their foundational-level experience in working with data within Cloud. They should possess the basic knowledge and skills in the domain of core data concepts. They also need to have an understanding of how these are implemented with the use of Microsoft Azure data services.

The applicants do not have to fulfill any requirements to take the Microsoft DP-900 test or get the associated certification. However, they must be familiar with different concepts of non-relational and relational data. They should also know various types of data workloads that are available, including analytical and transactional. Additionally, the students must develop mastery of the exam topics before sitting for this test.

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

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Microsoft DP-900 Deutsch Exam Syllabus Topics:

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