DatabricksCertified Associate Developer for Apache Spark
Data Aggregation and Joins ASSOCIATE-DEVELOPER-APACHE-SPARK Practice Questions (Page 2)
Part of the Developing Apache Spark™ DataFrame/DataSet API Applications domain, which accounts for 30% of the ASSOCIATE-DEVELOPER-APACHE-SPARK exam. Databricks does not publish an official question count, but from its 90-minute exam (~35–60 total, ~11–18 in this domain), expect 2–4 from this objective — we provide 26 practice questions to prepare you well beyond it. (estimate)
Questions 6–10
- 6
Which method concatenates two DataFrames without removing duplicate rows?
Select an answer first - 7
A financial analyst has a `transactions` DataFrame with a `transaction_amount` column. They need to calculate the average transaction amount for all transactions. Which method should they use?
Select an answer first - 8
What type of join produces the Cartesian product of two DataFrames?
Select an answer first - 9
Which join type keeps all rows from the left DataFrame and fills nulls for columns from the right DataFrame when there is no match?
Select an answer first - 10
What is the purpose of the second argument in approx_count_distinct(col, rsd)?
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