Databricks Data Engineer Associate exam dumps

Databricks Data Engineer Associate practice question 159 of 532

Databricks Certified Data Engineer Associate. Associate level, Databricks. Free question with the correct answer and a full explanation.

Databricks Data Engineer Associate Question 159

Select 3

You are working on a Databricks notebook and need to extract the year, month, and day from a timestamp column named event_timestamp in a DataFrame. Which of the following methods can you use to achieve this?

  1. A

    Use the year, month, and dayofmonth functions from the pyspark.sql.functions module.

  2. B

    Use the extract function from the pyspark.sql.functions module.

  3. C

    Use the date_format function with appropriate patterns like 'yyyy', 'MM', and 'dd'.

  4. D

    Use the to_date function and then extract the year, month, and day.

  5. E

    Use SQL expressions with functions like YEAR, MONTH, and DAY in a Spark SQL query.

Show answer and explanation

Correct answers: A, C, E

Explanation

Extracting calendar data from a timestamp in Databricks can be done using multiple approaches. The year, month, and dayofmonth functions are built into PySpark for this purpose. Alternatively, the date_format function allows flexible formatting to extract specific components as strings. Additionally, Spark SQL provides functions like YEAR, MONTH, and DAY that can be used in SQL queries. The extract function is not available in PySpark, and while to_date converts a timestamp to a date, it does not directly extract year, month, or day.

  • A. Correct.

    Correct. The year, month, and dayofmonth functions in the pyspark.sql.functions module are specifically designed to extract the respective components from a timestamp.

  • B. Incorrect.

    Incorrect. The extract function is not available in PySpark for extracting calendar data from a timestamp.

  • C. Correct.

    Correct. The date_format function can format a timestamp into a string representation of specific components like year ('yyyy'), month ('MM'), and day ('dd').

  • D. Incorrect.

    Incorrect. While to_date converts a timestamp to a date, it does not directly extract year, month, or day. Further transformations would be required.

  • E. Correct.

    Correct. Spark SQL supports the YEAR, MONTH, and DAY functions, which can be used in a SQL query to extract calendar components from a timestamp.

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