Databricks Associate-Developer-Apache-Spark-3.5 : Databricks Certified Associate Developer for Apache Spark 3.5 - Python

Exam Code: Associate-Developer-Apache-Spark-3.5

Exam Name: Databricks Certified Associate Developer for Apache Spark 3.5 - Python

Updated: Aug 03, 2026

Q & A: 135 Questions and Answers

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Databricks Associate-Developer-Apache-Spark-3.5 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Using Spark SQL20%- Using catalog and metadata APIs
- Running SQL queries
- Integrating Spark SQL with DataFrames
- Working with functions and expressions
Topic 2: Apache Spark Architecture and Components20%- Shuffling, actions, and broadcasting
- Execution and deployment modes
- Fault tolerance and garbage collection
- Execution hierarchy and lazy evaluation
- Spark architecture overview
Topic 3: Troubleshooting and Tuning Apache Spark DataFrame API Applications10%- Managing memory and resource usage
- Optimizing transformations and actions
- Identifying performance bottlenecks
- Debugging and logging
Topic 4: Developing Apache Spark DataFrame API Applications30%- Joining and combining datasets
- Partitioning and bucketing data
- Handling missing values and data quality
- Selecting, renaming, and modifying columns
- User-defined functions (UDFs)
- Filtering, sorting, and aggregating data
- Reading and writing data in various formats
- Creating DataFrames and defining schemas
Topic 5: Using Spark Connect to Deploy Applications5%- Connecting to remote Spark clusters
- Running applications via Spark Connect
- Spark Connect architecture
Topic 6: Using Pandas API on Apache Spark5%- Overview of Pandas API on Spark
- Key differences and limitations
- Converting between Pandas and Spark structures
Topic 7: Structured Streaming10%- Output modes and triggers
- Streaming concepts and architecture
- Fault tolerance and state management
- Defining streaming queries

Databricks Certified Associate Developer for Apache Spark 3.5 - Python Sample Questions:

1. 9 of 55.
Given the code fragment:
import pyspark.pandas as ps
pdf = ps.DataFrame(data)
Which method is used to convert a Pandas API on Spark DataFrame (pyspark.pandas.DataFrame) into a standard PySpark DataFrame (pyspark.sql.DataFrame)?

A) pdf.to_spark()
B) pdf.to_pandas()
C) pdf.spark()
D) pdf.to_dataframe()


2. 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


3. A data analyst builds a Spark application to analyze finance data and performs the following operations: filter, select, groupBy, and coalesce.
Which operation results in a shuffle?

A) filter
B) groupBy
C) select
D) coalesce


4. 13 of 55.
A developer needs to produce a Python dictionary using data stored in a small Parquet table, which looks like this:
region_id
region_name
10
North
12
East
14
West
The resulting Python dictionary must contain a mapping of region_id to region_name, containing the smallest 3 region_id values.
Which code fragment meets the requirements?

A) regions_dict = dict(regions.orderBy("region_id").limit(3).rdd.map(lambda x: (x.region_id, x.region_name)).collect())
B) regions_dict = regions.select("region_id", "region_name").take(3)
C) regions_dict = dict(regions.select("region_id", "region_name").rdd.collect())
D) regions_dict = dict(regions.take(3))


5. You have:
DataFrame A: 128 GB of transactions
DataFrame B: 1 GB user lookup table
Which strategy is correct for broadcasting?

A) DataFrame B should be broadcasted because it is smaller and will eliminate the need for shuffling itself
B) DataFrame A should be broadcasted because it is smaller and will eliminate the need for shuffling itself
C) DataFrame B should be broadcasted because it is smaller and will eliminate the need for shuffling DataFrame A
D) DataFrame A should be broadcasted because it is larger and will eliminate the need for shuffling DataFrame B


Solutions:

Question # 1
Answer: A
Question # 2
Answer: C
Question # 3
Answer: B
Question # 4
Answer: A
Question # 5
Answer: C

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