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What should you know about the Microsoft DP-900 exam?

The Microsoft DP-900 exam is 60 minutes long and consists of 40-60 questions of various types. Some of these formats may include multiple choice, active screen, drag and drop, build list, best answer, short answer, and case studies, among others. The candidates can find the examples of these question types on the official website. This certification test is designed to evaluate the competence of the professionals in using non-relational and relational data on Azure, as well as the analytics workload that is available on Azure. The exam fee is $99 and the applicants must pay it before registering for and scheduling their test. To complete this exam on the first try, they must achieve at least 720 points on a scale of 100-1000. The languages available for this test include English, German, Korean, Spanish, French, Japanese, and Simplified Chinese.

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Our exam practice material provides you everything you will need to take a test at the testing center. You will be able to take your DP-900 test with confidence. Team of experts, who have an experience of more than 15 years in training IT experts and professionals, has put their efforts behind developing the exam material. Tests will be made even more effective with our comprehensive study guide, consisting of detailed review of all the topics of the Microsoft DP-900 exam. Connect with the cloud, manage information in your enterprise with Microsoft Azure Data platform. Months of effort and experience have gone into creating the most effective and high quality study training material for the Microsoft DP-900 exam. Configure security for Azure resources, implement identity protection and management with Active Directory. View and manage data in a variety of ways. This exam training material is fully compatible with the latest Microsoft exam syllabus and testing guidelines. Microsoft DP-900 exam dumps has prepared by practice test experts to give you this competitive edge. Connectivity with the cloud is key to your business. Make sure your solutions can successfully deploy in Azure, giving you a competitive edge in this fast-growing industry. Troubleshoot Azure infrastructure and networking problems. The core of this exam is the ability to manage and architect your solution reliably and securely across both on-premises and cloud.

Role of data center, it is to perform some of the most challenging tasks. Understand the workloads, you need to design and build your solutions. Learn about encryption, its advantages and considerations. Streaming and data flow, it is to sync the data in your system. Determining what makes up your data, getting insight into the different classes of information. Post this process, you need to use and architect your data solution. Learn to determine the appropriate size for your table and index structures. Managed Identities, it is to access the resource in the cloud. It is required to learn about configuration of Azure Cloud Identity. Powershell is to manage the Azure environment. Instance management is to orchestrate the deployment of an application to a cloud based infrastructure. Cli tools, it is to manage infrastructure services. Postgresql is to create, maintain, and manage database in the cloud. The objective of this exam is to test your knowledge on DP-900 exam questions. Links are provided in the study material that will take you to exact DP-900 certification exam question. Provisioning storage, it is to configure various storage options in the cloud. Scaleout solutions, it is to scale out database performance. Preps, these are preprocessing tasks that takes place while creating or enriching the data. Nosql databases, it is to manage the cloud datastore. Difference between cloud and on prem, it is to understand the importance of cloud architecture. Read the documents and online references provided in the practice exam. Love the practice exam, it is to be able to understand the entire certification study guide. Community cloud, it is to create the cloud instance in the community cloud.

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

Microsoft DP-900 Exam Syllabus Topics:

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

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