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Databricks Certified Data Engineer Associate Exam Exam Practice

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    GAQM Databricks Certified Data Engineer Associate Exam Sample Questions (Q13-Q18):

    NEW QUESTION # 13
    A data engineer runs a statement every day to copy the previous day's sales into the table transactions. Each day's sales are in their own file in the location "/transactions/raw".
    Today, the data engineer runs the following command to complete this task:

    After running the command today, the data engineer notices that the number of records in table transactions has not changed.
    Which of the following describes why the statement might not have copied any new records into the table?

    • A. The PARQUET file format does not support COPY INTO.
    • B. The COPY INTO statement requires the table to be refreshed to view the copied rows.
    • C. The names of the files to be copied were not included with the FILES keyword.
    • D. The format of the files to be copied were not included with the FORMAT_OPTIONS keyword.
    • E. The previous day's file has already been copied into the table.

    Answer: E


    NEW QUESTION # 14
    A data engineer has configured a Structured Streaming job to read from a table, manipulate the data, and then perform a streaming write into a new table.
    The cade block used by the data engineer is below:

    If the data engineer only wants the query to execute a micro-batch to process data every 5 seconds, which of the following lines of code should the data engineer use to fill in the blank?

    • A. trigger(once="5 seconds")
    • B. trigger(continuous="5 seconds")
    • C. trigger()
    • D. trigger(processingTime="5 seconds")
    • E. trigger("5 seconds")

    Answer: D


    NEW QUESTION # 15
    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 is not one of the included query's SQL endpoint.
    • B. They can set up the dashboard's SQL endpoint to be serverless.
    • C. They can reduce the cluster size of the SQL endpoint.
    • D. They can turn on the Auto Stop feature for the SQL endpoint.
    • E. They can ensure the dashboard's SQL endpoint matches each of the queries' SQL endpoints.

    Answer: D


    NEW QUESTION # 16
    A data organization leader is upset about the data analysis team's reports being different from the data engineering team's reports. The leader believes the siloed nature of their organization's data engineering and data analysis architectures is to blame.
    Which of the following describes how a data lakehouse could alleviate this issue?

    • A. Both teams would use the same source of truth for their work
    • B. Both teams would be able to collaborate on projects in real-time
    • C. Both teams would reorganize to report to the same department
    • D. Both teams would autoscale their work as data size evolves
    • E. Both teams would respond more quickly to ad-hoc requests

    Answer: A


    NEW QUESTION # 17
    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 in a variety of types at once
    • E. An ability to work with data within certain partitions and windows

    Answer: E


    NEW QUESTION # 18
    ......

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