Databricks : Associate-Developer-Apache-Spark-3.5 Questions & Answers
Updated: Aug 19, 2026
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Databricks Associate-Developer-Apache-Spark-3.5 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: DataFrame API with PySpark | - Transformations and actions - Built-in functions and expressions - DataFrame creation and schema management |
| Topic 2: Apache Spark Fundamentals | - Spark architecture and execution model - RDD vs DataFrame vs Dataset concepts |
| Topic 3: Data Processing and Performance | - Joins and data partitioning - Caching and persistence strategies - Optimization techniques |
| Topic 4: Structured Streaming Basics | - Streaming DataFrames - Windowed aggregations in streaming |
| Topic 5: Spark SQL | - Window functions and aggregations - SQL queries on DataFrames and tables |
| Topic 6: Data Ingestion and Storage | - Reading and writing data (Parquet, JSON, CSV) - Delta Lake basics |
Databricks Certified Associate Developer for Apache Spark 3.5 - Python Sample Questions:
1. A data engineer needs to write a Streaming DataFrame as Parquet files.
Given the code:
Which code fragment should be inserted to meet the requirement?
A)
B)
C)
D)
Which code fragment should be inserted to meet the requirement?
A) .format("parquet")
.option("path", "path/to/destination/dir")
B) CopyEdit
.option("format", "parquet")
.option("destination", "path/to/destination/dir")
C) .option("format", "parquet")
.option("location", "path/to/destination/dir")
D) .format("parquet")
.option("location", "path/to/destination/dir")
2. What is the behavior for function date_sub(start, days) if a negative value is passed into the days parameter?
A) The number of days specified will be removed from the start date
B) The number of days specified will be added to the start date
C) An error message of an invalid parameter will be returned
D) The same start date will be returned
3. A developer is running Spark SQL queries and notices underutilization of resources. Executors are idle, and the number of tasks per stage is low.
What should the developer do to improve cluster utilization?
A) Increase the size of the dataset to create more partitions
B) Increase the value of spark.sql.shuffle.partitions
C) Reduce the value of spark.sql.shuffle.partitions
D) Enable dynamic resource allocation to scale resources as needed
4. An application architect has been investigating Spark Connect as a way to modernize existing Spark applications running in their organization.
Which requirement blocks the adoption of Spark Connect in this organization?
A) Complete Spark API support: the ability to migrate all existing code to Spark Connect without modification, including the RDD APIs
B) Upgradability: the ability to upgrade the Spark applications independently from the Spark driver itself
C) Stability: isolation of application code and dependencies from each other and the Spark driver
D) Debuggability: the ability to perform interactive debugging directly from the application code
5. In the code block below, aggDF contains aggregations on a streaming DataFrame:
Which output mode at line 3 ensures that the entire result table is written to the console during each trigger execution?
A) append
B) replace
C) complete
D) aggregate
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: B | Question # 3 Answer: B | Question # 4 Answer: A | Question # 5 Answer: C |
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