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Microsoft DP-900 Exam Syllabus Topics:

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

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                    Latest Microsoft Azure Data Fundamentals vce dumps & DP-900 prep4sure exam

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                    Microsoft Azure Data Fundamentals Sample Questions (Q28-Q33):

                    NEW QUESTION # 28
                    Match the Azure services to the appropriate requirements.
                    To answer, drag the appropriate service from the column on the left to its requirement 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:

                    Reference:
                    https://docs.microsoft.com/en-us/azure/data-factory/supported-file-formats-and-compression-codecs


                    NEW QUESTION # 29
                    Select the answer that correctly completes the sentence.

                    Answer:

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


                    NEW QUESTION # 30
                    Your company plans to load data from a customer relationship management (CRM) system to a data warehouse by using an extract load, and transform (ELT) process.
                    Where does data processing occur for each stage of the ELT process? To answer, drag the appropriate locations to the correct. Each location may be used 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: The CRM system
                    Data is extracted from the CRM system.
                    Box 2: The data warehouse
                    Data is loaded to the data warehouse.
                    Box 3: An in-memory data integration tool
                    The data transformation that takes place usually involves various operations, such as filtering, sorting, aggregating, joining data, cleaning data, deduplicating, and validating data.


                    NEW QUESTION # 31
                    To complete the sentence, select the appropriate option in the answer area.

                    Answer:

                    Explanation:

                    Reference:
                    https://docs.microsoft.com/en-us/sql/relational-databases/indexes/clustered-and-nonclustered-indexes-described?view=sql-server-ver15


                    NEW QUESTION # 32
                    Your company if designing an application that will write a high volume of JSON data and will have an application-defined schema.
                    Which type of data store should you use?

                    Answer: D


                    NEW QUESTION # 33
                    ......

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