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Microsoft DP-900 Exam Syllabus Topics:

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

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                    Microsoft Azure Data Fundamentals Sample Questions (Q253-Q258):

                    NEW QUESTION # 253
                    Select the answer that correctly completes the sentence.

                    Answer:

                    Explanation:
                    See the answer below:
                    Explanation:
                    Answer as below.


                    NEW QUESTION # 254
                    For each of the following statements, select Yes if the statement is true. Otherwise select No.
                    NOTE: Each correct selection is worth one point.

                    Answer:

                    Explanation:


                    NEW QUESTION # 255
                    Match the Azure services to the appropriate locations in the architecture.
                    To answer, drag the appropriate service from the column on the left to its location on the right. Each service may be used once, more than once, or not at all.
                    NOTE: Each correct match is worth one point.

                    Answer:

                    Explanation:

                    Explanation

                    Box Ingest: Azure Data Factory
                    You can build a data ingestion pipeline with Azure Data Factory (ADF).
                    Box Preprocess & model: Azure Synapse Analytics
                    Use Azure Synapse Analytics to preprocess data and deploy machine learning models.


                    NEW QUESTION # 256
                    To complete the sentence, select the appropriate option in the answer area.

                    Answer:

                    Explanation:

                    Explanation
                    Text Description automatically generated with medium confidence


                    NEW QUESTION # 257
                    You have a table named Sales that contains the following data.

                    You need to query the table to return the average sales amount day. The output must produce the following results.

                    How should you complete the query? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
                    NOTE: Each correct selection is worth one point.

                    Answer:

                    Explanation:

                    Explanation:

                    Box 1: SELECT
                    Box 2: GROUP BY
                    Example:
                    When used with a GROUP BY clause, each aggregate function produces a single value covering each group, instead of a single value covering the whole table. The following example produces summary values for each sales territory in the AdventureWorks2012 database. The summary lists the average bonus received by the sales people in each territory, and the sum of year-to-date sales for each territory.
                    SELECT TerritoryID, AVG(Bonus)as 'Average bonus', SUM(SalesYTD) as 'YTD sales' FROM Sales.SalesPerson GROUP BY TerritoryID;


                    NEW QUESTION # 258
                    ......

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