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Introduction to Microsoft DP-900: Microsoft Azure Data Fundamentals Exam

Microsoft Azure Data Fundamentals is an exam that identifies individuals who have the knowledge to work with Azure data storage features. Building on previous core principles of data management, Azure Data Fundamentals exam is designed to evaluate the ability of the candidate. Money designed to assess the skills level for both professionals and students. Determine the type of skills required for a particular situation, for example, a cloud administrator or a data analyst. Gen candidate will have to know the fundamentals of Data Management to work with Azure data storage, create tools to manage data, locate, protect and process it. Relevant topics in a data management environment, a certified candidate should understand. Dml, Db, protection tools through recovery, recovery strategies, documentation data management policies, data loss prevention tools to backup and recovery for backup recovery.

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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 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.
  • 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.

At present, we will face all kinds of choice, of course, in terms of employment, we will always put a lot of effort, in order to the future of a better life we must constantly improve our own competitiveness, in a new era of talent gradually saturated win their own advantages, how to reflect your ability? Perhaps the most intuitive way is to get the test DP-900 certification to obtain the corresponding qualifications. However, the qualification examination is not so simple and requires a lot of effort to review. How to get the test certification effectively, I will introduce you to a product¬— the DP-900 learning materials that tells you that passing the exam in a short time is not a fantasy.

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Microsoft DP-900 exam covers a variety of topics related to data fundamentals. It includes questions on data types, data storage options, data processing options, and data management tools. Additionally, the exam includes questions on Azure services related to data such as Azure Synapse Analytics, Azure Stream Analytics, and Azure Data Factory. A successful candidate will be able to demonstrate their knowledge of these topics and their practical application in Microsoft Azure.

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 non-relational Azure data services
  • 1. Describe Azure File storage
  • 2. Describe Azure Table storage
  • 3. Describe Azure Cosmos DB
  • 4. Describe Azure Blob storage
- Describe non-relational concepts
  • 1. Identify non-relational data
  • 2. Describe non-relational data offerings
Describe core data concepts25-30%- Describe ways to represent data
  • 1. Describe features of semi-structured data
  • 2. Describe features of unstructured data
  • 3. Describe features of structured data
- Identify options for data storage
  • 1. Describe types of databases
  • 2. Describe common formats for data files
Describe an analytics workload on Azure25-30%- Describe data visualization in Microsoft Power BI
  • 1. Describe Power BI tools and workflow
  • 2. Describe Power BI reports and dashboards
  • 3. Describe Power BI
- Describe Azure data analytics services
  • 1. Describe Azure Synapse Analytics
  • 2. Describe Azure Databricks
  • 3. Describe Azure Data Factory
  • 4. Describe Microsoft Fabric
  • 5. Describe Azure Stream Analytics
  • 6. Describe Azure HDInsight
- Describe analytics concepts
  • 1. Describe ETL and ELT processes
  • 2. Describe transactional workloads
  • 3. Describe data warehousing
  • 4. Describe analytical workloads
Identify considerations for relational data on Azure20-25%- Describe relational Azure data services
  • 1. Describe Azure Database for MySQL
  • 2. Describe Azure SQL family of products
  • 3. Describe SQL Server on Azure Virtual Machines
  • 4. Describe Azure SQL Managed Instance
  • 5. Describe Azure SQL Database
  • 6. Describe Azure Database for PostgreSQL
  • 7. Describe Azure Database for MariaDB
- Describe relational concepts
  • 1. Describe normalization
  • 2. Identify features of relational data

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