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Microsoft DP-900 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Non-Relational Data in Azure15-20%- Azure storage services
  • 1. Azure Table Storage
    • 2. Azure Blob Storage
      • 3. Azure Cosmos DB
        - Data processing options for non-relational data
        - Non-relational data concepts
        Topic 2: Analytics Workloads in Azure25-30%- Data ingestion and processing
        - Azure analytics services
        • 1. Power BI
          • 2. Azure Data Lake Storage
            • 3. Azure Synapse Analytics
              - Data visualization and reporting
              - Data analytics concepts
              Topic 3: Core Data Concepts25-30%- Roles and responsibilities in data work
              - Types of core data workloads
              - Data analytics workloads overview
              - Relational vs non-relational data
              Topic 4: Relational Data in Azure20-25%- Azure relational data services
              • 1. SQL Server on Azure VMs
                • 2. Azure SQL Managed Instance
                  • 3. Azure SQL Database
                    - Querying relational data
                    - Relational data concepts

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                    Microsoft Azure Data Fundamentals Sample Questions (Q337-Q342):

                    NEW QUESTION # 337
                    Select the answer that correctly completes the sentence.

                    Answer:

                    Explanation:


                    NEW QUESTION # 338
                    match the Azure data factory components to the appropriate descriptions.
                    To answer, drag the appropriate component from the column on the left to its description on the right. Each
                    component may be used once, more than once, or not at all.
                    NOTE: Each correct match is worth one point.

                    Answer:

                    Explanation:

                    Explanation

                    Box 1: Dataset
                    Datasets must be created from paths in Azure datastores or public web URLs, for the data to be accessible by
                    Azure Machine Learning.
                    Box 2: Linked service
                    Linked services are much like connection strings, which define the connection information needed for Data
                    Factory to connect to external resources.
                    Box 3: Pipeline
                    A pipeline is a logical grouping of activities that together perform a task.


                    NEW QUESTION # 339
                    Your company needs to ensure that in Azure virtual machine can connect to Azure SQL databases without
                    exposing the databases to the internet. What should you use?

                    Answer: D

                    Explanation:
                    Explanation
                    Azure Private Link enables you to access Azure PaaS Services (for example, Azure Storage and SQL
                    Database) and Azure hosted customer-owned/partner services over a private endpoint in your virtual network.
                    Traffic between your virtual network and the service travels the Microsoft backbone network. Exposing your
                    service to the public internet is no longer necessary


                    NEW QUESTION # 340
                    To complete the sentence, select the appropriate option in the answer area.

                    Answer:

                    Explanation:


                    Reference:
                    https://docs.microsoft.com/en-us/azure/architecture/data-guide/relational-data/etl


                    NEW QUESTION # 341
                    Hotspot Question
                    You are reviewing the data model shown in the following exhibit.

                    Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
                    NOTE: Each correct selection is worth one point.

                    Answer:

                    Explanation:

                    Explanation:
                    Star Schema in data warehouse, in which the center of the star can have one fact table and a number of associated dimension tables. It is known as star schema as its structure resembles a star.
                    Dimension tables describe business entities - the things you model. Entities can include products, people, places, and concepts including time itself.
                    Fact tables store observations or events, and can be sales orders, stock balances, exchange rates, temperatures, etc. A fact table contains dimension key columns that relate to dimension tables, and numeric measure columns.
                    https://docs.microsoft.com/en-us/power-bi/guidance/star-schema


                    NEW QUESTION # 342
                    ......

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