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

Preparation Guide for Microsoft DP-900: Microsoft Azure Data Fundamentals Exam

Introduction

If you're looking to enter the IT world but don't have the education required, you may want to consider taking one of the many certification exams offered by respected tech companies. Microsoft offers a range of certifications, including those for developers. The DP-900 exam is one such exam. This article will help you prepare for this exam so that it will be successful and lead to your certification. Microsoft DP-900 exam dumps are one of the most popular resources for DP-900 exam preparation.

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

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The Microsoft DP-900 exam is intended for candidates who already have foundational knowledge and skills in performing basic tasks and using Microsoft Azure data services. It is also recommended for those who are starting their careers in the field of cloud data. Although there are no strict prerequisites, every individual who desires to take DP-900 test should have familiarity with non-relational and relational data as well as various types of data workloads such as analytical and transactional.

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In recent years, some changes are taking place in this line about the new points are being constantly tested in the Microsoft Azure Data Fundamentals real exam. So our experts highlight the new type of questions and add updates into the practice materials, and look for shifts closely when they take place. As to the rapid changes happened in this exam, experts will fix them and we assure your DP-900 exam simulation you are looking at now are the newest version. Materials trends are not always easy to forecast, but they have predictable pattern for them by ten-year experience who often accurately predict points of knowledge occurring in next DP-900 preparation materials: Microsoft Azure Data Fundamentals.

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The Need for Microsoft DP-900 Exam

At the present time, organizations are experiencing challenges in identifying the skills and knowledge of employees. Studies prove that organizations are spending more money on training staff members. Tables, sales, sales and marketing, finance, HR and others. The skills of the individual are not only in the field of computing and technology, but also in the field of business management. Templates, skills and knowledge of the individual are evaluated. As a result, organizations are looking for individuals who can manage these challenges. Hope that individuals have a broad range of knowledge and skills that they can draw from, as needed. Print and distribute reports, day to day running of the business, manage files and inventory. Microsoft Azure Data Management Fundamentals is a great way to prepare for this exam. Microsoft DP-900 exam dumps the most qualified candidates will be able to pass this exam easily. Curated and different content, industry specific content is included. Microsoft DP-900 certification is one of the best ways to protect your resume when searching for a new job, or when requesting a raise or promotion. Smarter ways, the training provided by Microsoft is a way to make smart decisions. Foundational concepts, increase your credibility with the technical skills you already have. Interface with the outside world through cloud technology, this training is well beyond skills associated with computing. Vendor independence, data management is not only dependent on the vendor, but also on the ability to understand and use the tools and leverage them for their own benefit.

Rule of the Microsoft DP-900 certification exam is based on a well-balanced test system. At present, it is a very good opportunity for you to get the latest training and skills required in the field of cloud computing and data storage. Offered at a much lower cost, the training provided by Microsoft will greatly increase your probability of passing this exam. Head start, Microsoft is one of the leading vendors in the world of computing and cloud technologies. Accessing their resources will help you start your career off on the right foot. Confidence, the training provided by Microsoft will give you confidence that you can pass this exam. Personalized training, by providing the latest training resources through the Microsoft platform, you have the opportunity to learn at your own pace. Rewarding, individuals who pass the exam will receive the latest certification. All you need to do is study and prepare your material to pass the exam. Leave the pressure of preparing the exam until the last minute, prepare for this certification exam beforehand. Quick and easy, this exam has a very simple and easy to understand format. Preparation for all areas of knowledge and content is not difficult. Firewalls and security and virtual and on-premises and cloud and data center and storage, the test system is very comprehensive. Built based on a well-established test system, using the latest training provided by Microsoft will greatly increase the probability of passing this exam. Succeed in your career development with this exam, get the latest training provided by Microsoft. Vnets and Azure VM and VMs and storage, the candidates will increase their skills in cloud computing. Workers and resources and data center, the candidate will increase their skills in knowledge of data storage. Harder than the exam, the test system is based on a very detailed and comprehensive format.

Microsoft DP-900 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Describe an analytics workload on Azure25–30%- Describe big data and analytics concepts
  • 1. Data ingestion and processing
    • 2. Modern data warehouse architecture
      • 3. Data lakes and data warehouses
        - Describe data visualization
        • 1. Power BI capabilities
          • 2. Data models and reports
            - Describe real-time analytics
            • 1. Azure Stream Analytics
              • 2. Stream processing concepts
                - Describe Azure analytics services
                • 1. Microsoft Fabric
                  • 2. Azure Synapse Analytics
                    • 3. Azure Data Lake Storage Gen2
                      • 4. Azure Databricks
                        • 5. Azure HDInsight
                          Topic 2: 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 non-relational data concepts
                                • 1. Characteristics of NoSQL data
                                  • 2. Use cases for non-relational data
                                    - Describe Azure storage services
                                    • 1. Table Storage
                                      • 2. File Storage
                                        • 3. Blob Storage
                                          • 4. Queue Storage
                                            Topic 3: 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. Open-source databases: PostgreSQL, MySQL, MariaDB
                                                      • 3. Azure SQL Managed Instance
                                                        • 4. Azure SQL Database
                                                          Topic 4: Describe core data concepts25–30%- Describe data workloads
                                                          • 1. Transactional workloads
                                                            • 2. Analytical workloads
                                                              • 3. Batch and streaming data
                                                                - 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

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