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    The Databricks Certified Data Engineer Associate certification is ideal for professionals working in data engineering, data warehousing, and data modeling roles. The certification demonstrates the candidate's knowledge of Databricks and their ability to design and implement data engineering solutions using Databricks. It also validates their understanding of data transformation, ETL processes, data warehousing, and data modeling concepts. The certification can enhance the candidate's career opportunities and increase their earning potential.

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    The Databricks Certified Data Engineer Associate certification is widely recognized in the industry and is highly valued by employers. Earning this certification demonstrates to employers that a candidate has the skills and knowledge required to build and maintain data solutions on the Databricks platform. This certification can help professionals advance their careers and increase their earning potential.

    GAQM Databricks Certified Data Engineer Associate Exam Sample Questions (Q26-Q31):

    NEW QUESTION # 26
    A data engineer wants to schedule their Databricks SQL dashboard to refresh once per day, but they only want the associated SQL endpoint to be running when it is necessary.
    Which of the following approaches can the data engineer use to minimize the total running time of the SQL endpoint used in the refresh schedule of their dashboard?

    • A. They can ensure the dashboard's SQL endpoint matches each of the queries' SQL endpoints.
    • B. They can ensure the dashboard's SQL endpoint is not one of the included query's SQL endpoint.
    • C. They can set up the dashboard's SQL endpoint to be serverless.
    • D. They can turn on the Auto Stop feature for the SQL endpoint.
    • E. They can reduce the cluster size of the SQL endpoint.

    Answer: D


    NEW QUESTION # 27
    A data engineer needs to create a table in Databricks using data from their organization's existing SQLite database.
    They run the following command:

    Which of the following lines of code fills in the above blank to successfully complete the task?

    • A. DELTA
    • B. autoloader
    • C. org.apache.spark.sql.sqlite
    • D. org.apache.spark.sql.jdbc
    • E. sqlite

    Answer: C


    NEW QUESTION # 28
    Which of the following commands can be used to write data into a Delta table while avoiding the writing of duplicate records?

    • A. DROP
    • B. INSERT
    • C. MERGE
    • D. IGNORE
    • E. APPEND

    Answer: C


    NEW QUESTION # 29
    Which of the following describes the storage organization of a Delta table?

    • A. Delta tables are stored in a collection of files that contain only the data stored within the table.
    • B. Delta tables are stored in a single file that contains only the data stored within the table.
    • C. Delta tables are stored in a collection of files that contain data, history, metadata, and other attributes.
    • D. Delta tables are stored in a single file that contains data, history, metadata, and other attributes.
    • E. Delta tables store their data in a single file and all metadata in a collection of files in a separate location.

    Answer: C


    NEW QUESTION # 30
    Which of the following benefits is provided by the array functions from Spark SQL?

    • A. An ability to work with time-related data in specified intervals
    • B. An ability to work with an array of tables for procedural automation
    • C. An ability to work with complex, nested data ingested from JSON files
    • D. An ability to work with data within certain partitions and windows
    • E. An ability to work with data in a variety of types at once

    Answer: D


    NEW QUESTION # 31
    ......

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