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Microsoft DP-900 Exam Syllabus Topics:

TopicDetails

Describe core data concepts (15-20%)

Describe types of core data workloads- describe batch data
- describe streaming data
- describe the difference between batch and streaming data
- describe the characteristics of relational data
Describe data analytics core concepts- describe data visualization (e.g., visualization, reporting, business intelligence (BI))
- describe basic chart types such as bar charts and pie charts
- describe analytics techniques (e.g., descriptive, diagnostic, predictive, prescriptive, cognitive)
- describe ELT and ETL processing
- describe the concepts of data processing

Describe how to work with relational data on Azure (25-30%)

Describe relational data workloads- identify the right data offering for a relational workload
- describe relational data structures (e.g., tables, index, views)
Describe relational Azure data services- describe and compare PaaS, IaaS, and SaaS solutions
- describe Azure SQL family of products including Azure SQL Database, Azure SQL Managed Instance, and SQL Server on Azure Virtual Machines
- describe Azure Synapse Analytics
- describe Azure Database for PostgreSQL, Azure Database for MariaDB, and Azure Database for MySQL
Identify basic management tasks for relational data- describe provisioning and deployment of relational data services
- describe method for deployment including the Azure portal, Azure Resource Manager templates, Azure PowerShell, and the Azure command-line interface (CLI)
- identify data security components (e.g., firewall, authentication)
- identify basic connectivity issues (e.g., accessing from on-premises, access with Azure VNets, access from Internet, authentication, firewalls)
- identify query tools (e.g., Azure Data Studio, SQL Server Management Studio, sqlcmd utility, etc.)
Describe query techniques for data using SQL language- compare Data Definition Language (DDL) versus Data Manipulation Language (DML)
- query relational data in Azure SQL Database, Azure Database for PostgreSQL, and Azure Database for MySQL

Describe how to work with non-relational data on Azure (25-30%)

Describe non-relational data workloads- describe the characteristics of non-relational data
- describe the types of non-relational and NoSQL data
- recommend the correct data store
- determine when to use non-relational data
Describe non-relational data offerings on Azure- identify Azure data services for non-relational workloads
- describe Azure Cosmos DB APIs
- describe Azure Table storage
- describe Azure Blob storage
- describe Azure File storage
Identify basic management tasks for non-relational data- describe provisioning and deployment of non-relational data services
- describe method for deployment including the Azure portal, Azure Resource Manager templates, Azure PowerShell, and the Azure command-line interface (CLI)
- identify data security components (e.g., firewall, authentication, encryption)
- identify basic connectivity issues (e.g., accessing from on-premises, access with Azure VNets, access from Internet, authentication, firewalls)
- identify management tools for non-relational data

Describe an analytics workload on Azure (25-30%)

Describe analytics workloads- describe transactional workloads
- describe the difference between a transactional and an analytics workload
- describe the difference between batch and real time
- describe data warehousing workloads
- determine when a data warehouse solution is needed
Describe the components of a modern data warehouse- describe Azure data services for modern data warehousing such as Azure Data Lake Storage Gen2, Azure Synapse Analytics, Azure Databricks, and Azure HDInsight
- describe modern data warehousing architecture and workload
Describe data ingestion and processing on Azure- describe common practices for data loading
- describe the components of Azure Data Factory (e.g., pipeline, activities, etc.)
- describe data processing options (e.g., Azure HDInsight, Azure Databricks, Azure Synapse Analytics, Azure Data Factory)
Describe data visualization in Microsoft Power BI- describe the role of paginated reporting
- describe the role of interactive reports
- describe the role of dashboards
- describe the workflow in Power BI

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

The benefit of obtaining the Microsoft DP-900: Microsoft Azure Data Fundamentals Exam Certification

The Microsoft DP-900: Microsoft Azure Data Fundamentals Exam is a valuable asset to networking professionals. With this certification, one will have the ability to get a job with the industry. The certification will provide work experience and skills that are directly related with the industry. Fields of work that require this certification are Business Intelligence and Data Warehousing. Life of a certified individual is filled with great opportunities and success if the individual is talented and passionate. Flow of work for this certification is continuous and increasing. Beginner and experienced persons can get jobs and skill development through this certification. Covering this certification will enhance knowledge and understanding of Business Intelligence and Data Warehousing. Explorer and quick learner can also take the benefit of this certification. Email, instant messaging, chat and news details will be helpful in this certification. Scenario based questions are also beneficial in this certificate. Computers and emailing and social media and internet applications will be useful in this certification. Code lines and QR code and data tables will be helpful in this certification. Desktop and laptops and monitors and tablets and projectors will be helpful in this certification. Microsoft DP-900 exam dumps can help you pass exam in first try. Template questions will help you cover most of the exam area. Computer and devices and devices and servers, they help you memorize the most important concepts in the exam. Ssms and docs and spms and email, they help you understand the online learning portal. Testing and assessment and practice questions, they help you learn the most important material to study. Paginated and dynamic and interactive and live, they are the best practice guides to learn for the exam. Bar and charts and tables and flowcharts, they help you understand the concepts in the best possible manner. Objectives and scenarios and results and prerequisites, they help you learn the concepts deeply.

Activities and visualization and databases and reporting, they help you cover the most important concepts in exam. Think out of the box and think out of the box and use thinking outside the box, they make you create a broader vision. Sites and settings and frameworks and tools, they help you learn the concepts as per your requirement. Worry free and free of cost and obtain the exam in first attempt, they help you obtain the certification in first attempt. Audience and environment and format and format and download, they help you learn the most important concepts thoroughly. Values and storage and networking and deployment, they help you learn the concepts as per your requirement. Created and delivered and supported and verified, they help you understand the concepts as per your requirement. Total marks and correct answers and passing score, they help you prepare for the exam in the best possible manner. Journey and experiences and troubleshooting, they help you learn the concepts as per your requirement. Application and programming and project and integration and design, they help you understand the concepts as per your requirement. Pipeline and processes and administration and management and security and virtualization, they help you learn the concepts as per your requirement. Lake and flow and groups and permissions and people, they help you learn as required. Worth and value and types and advanced, they help you learn the concepts as per your requirement. Transactional and analytical and reporting and integration, these help in assimilating with the concepts which you need to learn. Happen and flow and event and event and fill, they help you learn the concepts as per your requirement. Admins and users and personalization and access, they help you learn the concepts as per your requirement.

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Certification Paths Available

Upon earning Microsoft Certified: Azure Data Fundamentals, you will be able to advance your career to higher-level certifications. For instance, it can be a starting point for Microsoft Certified: Azure Data Engineer Associate or Microsoft Certified: Azure Database Administrator Associate. However, this fundamental accreditation is not a requirement for earning any of the next certificates. Therefore, all you have to do is to pass Microsoft DP-900 exam and prepare to face the real-world challenges as you advance in your career.

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Microsoft DP-900 Deutsch Exam Syllabus Topics:

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

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