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How to Register For Exam DP-900: Microsoft Azure Data Fundamentals?

Exam Register Link: https://examregistration.microsoft.com/?locale=en-us&examcode=DP-900&examname=Exam%20DP-900:%20Microsoft%20Azure%20Data%20Fundamentals&returnToLearningUrl=https%3A%2F%2Fdocs.microsoft.com%2Flearn%2Fcertifications%2Fexams%2Fdp-900

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

What is the duration, language, and format of Microsoft DP-900: Microsoft Azure Data Fundamentals Exam

  • Language: English
  • Passing score: 700 / 1000
  • This is the beta exam, would be available on or around March 31, 2020.
  • Number of Questions: 40 to 60 questions (Since Microsoft does not publish this information, the number of exam questions may change without notice.)
  • Length of Examination: 50 mins
  • Type of Questions: This test format is multiple choice.

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

  • 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.
  • 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 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.

Helpful Training Course for Acing DP-900

To help students get fully ready for DP-900, Microsoft has created an official 1-day teacher-guided program for students named ‘Course DP-900T00-A: Microsoft Azure Data Fundamentals’. There are 4 modules in this course which will address all the topics needed for the Microsoft DP-900. However, such a class does not have any related lab exercises, meaning students will not get the scope for applying the things they have learnt in theory. In general, this training is perfect for those who want to learn the main concepts and skills needed to provide cloud data services with the help of Microsoft Azure.

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Microsoft DP-900日本語 Exam Syllabus Topics:

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

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