DP-203 Exam Question 21

You are performing exploratory analysis of the bus fare data in an Azure Data Lake Storage Gen2 account by using an Azure Synapse Analytics serverless SQL pool.
You execute the Transact-SQL query shown in the following exhibit.

What do the query results include?
  • DP-203 Exam Question 22

    You are designing a dimension table for a data warehouse. The table will track the value of the dimension attributes over time and preserve the history of the data by adding new rows as the data changes.
    Which type of slowly changing dimension (SCD) should use?
  • DP-203 Exam Question 23

    You have an Azure Data Lake Storage account that contains a staging zone.
    You need to design a daily process to ingest incremental data from the staging zone, transform the data by executing an R script, and then insert the transformed data into a data warehouse in Azure Synapse Analytics.
    Solution: You use an Azure Data Factory schedule trigger to execute a pipeline that executes mapping data Flow, and then inserts the data info the data warehouse.
    Does this meet the goal?
  • DP-203 Exam Question 24

    The storage account container view is shown in the Refdata exhibit. (Click the Refdata tab.)
    You need to configure the Stream Analytics job to pick up the new reference data.
    What should you configure?
    To answer, select the appropriate options in the answer area
    NOTE: Each correct selection is worth one point.

    DP-203 Exam Question 25

    Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
    After you answer a question in this scenario, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
    You have an Azure Storage account that contains 100 GB of files. The files contain text and numerical values. 75% of the rows contain description data that has an average length of 1.1 MB.
    You plan to copy the data from the storage account to an Azure SQL data warehouse.
    You need to prepare the files to ensure that the data copies quickly.
    Solution: You modify the files to ensure that each row is less than 1 MB.
    Does this meet the goal?