[05/Aragon/09]
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Why is it important to sync columns from the source database in Flow.BI?

  • To introduce errors when querying the data
  • To make it harder for users to query the data
  • To ensure the dataset is always in sync with the source database (correct)
  • To reduce the ability of Flow.BI to cache query results

    • What consequence may users face if the schema of the Flow.BI dataset is not in sync with the schema of the source database?

  • Encounter errors when trying to query the data (correct)
  • Smoother data management in Flow.BI
  • Decreased performance due to caching
  • Improved performance in querying

    • How does syncing columns from the source help to improve performance in Flow.BI?

  • By complicating the dataset management process
  • By ensuring Flow.BI can't use cached results
  • By enabling Flow.BI to always use cached results (correct)
  • By slowing down query processing time

    • What benefit does syncing columns from the source provide in terms of data management in Flow.BI?

    <p>Makes it easier to manage datasets</p> Signup and view all the answers

    In what scenario can users avoid errors when querying data in Flow.BI?

    <p>When frequently syncing columns from source</p> Signup and view all the answers

    What impact can unsynced schema between Flow.BI dataset and source database have on performance?

    <p>Decreased performance due to inability to cache results</p> Signup and view all the answers

    How does syncing columns from the source benefit users of Flow.BI?

    <p>By providing always up-to-date data for querying</p> Signup and view all the answers

    What happens if the schema of the source database changes without syncing columns in Flow.BI?

    <p>Errors may occur when users try to query data</p> Signup and view all the answers

    How can keeping Flow.BI dataset synced with the source database help with performance optimization?

    <p>By ensuring cached results are utilized effectively</p> Signup and view all the answers

    Why is it beneficial for users if Flow.BI can always use cached results?

    <p>To ensure quick access to frequently used query results</p> Signup and view all the answers

    Syncing columns from the source database in Flow.BI ensures that the dataset is always up-to-date with the source data.

    <p>True</p> Signup and view all the answers

    If the schema of the Flow.BI dataset is not synchronized with the source database, users may encounter errors when querying the data.

    <p>True</p> Signup and view all the answers

    Syncing columns from the source helps to avoid errors in Flow.BI by ensuring that the dataset is always invalid.

    <p>False</p> Signup and view all the answers

    Flow.BI can use cached results for frequently used queries even if the schema of the dataset is not in sync with the source database.

    <p>False</p> Signup and view all the answers

    Syncing columns from the source can make it harder to manage datasets in Flow.BI.

    <p>False</p> Signup and view all the answers

    If a new column is added to the source database, it will automatically reflect in the Flow.BI dataset without syncing columns.

    <p>False</p> Signup and view all the answers

    Keeping the schema of the Flow.BI dataset in sync with the source database can lead to performance improvements due to cached results.

    <p>True</p> Signup and view all the answers

    Users of Flow.BI will not face any consequences if the schema of the dataset is not aligned with the source database schema.

    <p>False</p> Signup and view all the answers

    Syncing columns from the source database does not play a role in ensuring that data in Flow.BI is always accurate.

    <p>False</p> Signup and view all the answers

    Flow.BI may experience decreased performance if the dataset schema is not updated alongside changes in the source database.

    <p>True</p> Signup and view all the answers

    Match the following benefits of syncing columns from the source with their descriptions:

    <p>To keep Flow.BI dataset up-to-date with the source database = Ensures the most recent data is available for users To avoid errors in querying data = Helps maintain a valid dataset in Flow.BI To improve performance by using cached results = Allows for faster query execution in Flow.BI To make it easier to manage datasets = Simplify the process of adding new columns to datasets</p> Signup and view all the answers

    Match the scenario with its consequence:

    <p>Source database schema changes without syncing columns in Flow.BI = Users may encounter errors when querying data Flow.BI dataset schema is not updated alongside source database changes = May lead to decreased performance due to inability to use cached results New column added to source database without syncing columns in Flow.BI = Does not automatically reflect in the Flow.BI dataset Schema of Flow.BI dataset is not aligned with source database schema = Users may face consequences of encountering errors when querying data</p> Signup and view all the answers

    Match the following benefits of syncing columns from the source with their advantages:

    <p>Ensuring data accuracy in Flow.BI = Maintaining a valid and synced dataset Enhancing performance optimization = Allowing for faster query execution using cached results Improving data management in Flow.BI = Making it simpler to update and manage datasets Avoiding errors in querying data = Preventing issues related to invalid datasets</p> Signup and view all the answers

    Match the impact of unsynced schema between Flow.BI dataset and source database with its outcome:

    <p>Encountering errors when querying data = Due to inconsistencies between dataset schemas Decreased performance due to inability to use cached results = When changes in source database schema are not reflected in Flow.BI dataset Automatically reflecting new column additions in Flow.BI dataset = When columns are synced from the source database Consequences of invalid datasets = Resulting from schema misalignments between databases</p> Signup and view all the answers

    Match the importance of using cached results with its benefit:

    <p>Avoiding decreased performance in Flow.BI = By ensuring usage of cached query results Enhancing performance optimization = By allowing for faster query execution through caching Improving data management efficiency = By simplifying the process of adding new columns to datasets Ensuring data accuracy in Flow.BI = By maintaining a valid and synced dataset</p> Signup and view all the answers

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