LeetQuiz Logo
Privacy Policy•contact@leetquiz.com
© 2025 LeetQuiz All rights reserved.
Databricks Certified Data Engineer - Professional

Databricks Certified Data Engineer - Professional

Get started today

Ultimate access to all questions.


A junior data engineer wants to use Delta Lake's Change Data Feed feature to build a Type 1 table that captures all historical valid values for every row in a bronze table (created with delta.enableChangeDataFeed = true). They intend to run the following code daily:

from pyspark.sql.functions import col
(spark.read.format("delta")
 .option("readChangeFeed", "true")
 .option("startingVersion", 0)
 .table("bronze")
 .filter(col("_change_type").isin(["update_postimage", "insert"]))
 .write
 .mode("append")
 .table("bronze_history_type1")
)

What describes the outcome and behavior of executing this query repeatedly?

Exam-Like




Powered ByGPT-5