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Databricks-Certified-Data-Engineer-Associate Latest Exam Questi

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    The GAQM Databricks-Certified-Data-Engineer-Associate (Databricks Certified Data Engineer Associate) Certification Exam is a highly sought-after certification for data professionals. This certification is designed to test the knowledge and skills of individuals who work with big data and data engineering. The exam covers a wide range of topics, including data modeling, ETL processes, data warehousing, and data analysis.

    The GAQM Databricks-Certified-Data-Engineer-Associate (Databricks Certified Data Engineer Associate) Certification Exam is a highly sought-after certification in the field of data engineering. This certification is designed to validate the skills and knowledge required to design, build, and maintain data pipelines and data solutions on the Databricks platform. The exam is intended for professionals who have a strong understanding of data engineering concepts and have experience working with Databricks.

    The GAQM Databricks-Certified-Data-Engineer-Associate (Databricks Certified Data Engineer Associate) Exam is a certification program designed to assess an individual's expertise in data engineering using Databricks. The exam is designed to test the practical knowledge and skills required to work with big data using Databricks, a cloud-based data analytics platform.

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    GAQM Databricks-Certified-Data-Engineer-Associate PDF Questions Format

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    GAQM Databricks Certified Data Engineer Associate Exam Sample Questions (Q42-Q47):

    NEW QUESTION # 42
    An engineering manager wants to monitor the performance of a recent project using a Databricks SQL query.
    For the first week following the project's release, the managerwants the query results to be updated every minute. However, the manager is concerned that the compute resources used for the query will be left running and cost the organization a lot of money beyond the first week of the project's release.
    Which of the following approaches can the engineering team use to ensure the query does not cost the organization any money beyond the first week of the project's release?

    • A. They can set the query's refresh schedule to end on a certain date in the query scheduler.
    • B. They can set a limit to the number of DBUs that are consumed by the SQL Endpoint.
    • C. They can set the query's refresh schedule to end after a certain number of refreshes.
    • D. They can set a limit to the number of individuals that are able to manage the query's refresh schedule.
    • E. They cannot ensure the query does not cost the organization money beyond the first week of the project's release.

    Answer: A


    NEW QUESTION # 43
    Which of the following describes a scenario in which a data team will want to utilize cluster pools?

    • A. An automated report needs to be runnable by all stakeholders.
    • B. An automated report needs to be made reproducible.
    • C. An automated report needs to be refreshed as quickly as possible.
    • D. An automated report needs to be tested to identify errors.
    • E. An automated report needs to be version-controlled across multiple collaborators.

    Answer: A


    NEW QUESTION # 44
    A data engineer wants to create a data entity from a couple of tables. The data entity must be used by other data engineers in other sessions. It also must be saved to a physical location.
    Which of the following data entities should the data engineer create?

    • A. Table
    • B. View
    • C. Database
    • D. Function
    • E. Temporary view

    Answer: B


    NEW QUESTION # 45
    A data engineer has three tables in a Delta Live Tables (DLT) pipeline. They have configured the pipeline to drop invalid records at each table. They notice that some data is being dropped due to quality concerns at some point in the DLT pipeline. They would like to determine at which table in their pipeline the data is being dropped.
    Which of the following approaches can the data engineer take to identify the table that is dropping the records?

    • A. They can set up separate expectations for each table when developing their DLT pipeline.
    • B. They can navigate to the DLT pipeline page, click on the "Error" button, and review the present errors.
    • C. They can set up DLT to notify them via email when records are dropped.
    • D. They can navigate to the DLT pipeline page, click on each table, and view the data quality statistics.
    • E. They cannot determine which table is dropping the records.

    Answer: B


    NEW QUESTION # 46
    A new data engineering team has been assigned to work on a project. The team will need access to database customers in order to see what tables already exist. The team has its own group team.
    Which of the following commands can be used to grant the necessary permission on the entire database to the new team?

    • A. GRANT USAGE ON DATABASE customers TO team;
    • B. GRANT USAGE ON CATALOG team TO customers;
    • C. GRANT CREATE ON DATABASE team TO customers;
    • D. GRANT VIEW ON CATALOG customers TO team;
    • E. GRANT CREATE ON DATABASE customers TO team;

    Answer: A


    NEW QUESTION # 47
    ......

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