Databricks-Spark-Assoc Pandas API on Spark Practice Question
A data analyst wants to use Pandas API on Spark in a Databricks notebook but is unsure how to import it. Which import statement correctly enables the Pandas API on Spark?
⚠ Common exam trap
Many candidates confuse standard pandas with Pandas API on Spark, or assuming a Databricks-specific module exists, when the correct import is the open-source `pyspark.pandas`.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
`import pyspark.pandas as ps`
Pandas API on Spark is accessed via the `pyspark.pandas` module. Importing it as `ps` is the standard convention. This module provides a pandas-like interface that translates operations to Spark, enabling distributed processing. Other imports either refer to standard pandas or non-existent modules.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
`import databricks.pandas as dp`
Why it's wrong here
There is no `databricks.pandas` module. Databricks supports the open-source `pyspark.pandas` module, but does not have a proprietary pandas module. This import statement is fictional and would fail. The correct approach is to use `pyspark.pandas`, which is part of Apache Spark and available in Databricks Runtime.
- ✗
`import pandas as pd`
Why it's wrong here
`import pandas as pd` imports the standard pandas library, which runs on a single machine and does not use Spark. It does not provide the distributed capabilities of Pandas API on Spark. While the syntax may look similar, this import does not enable Spark execution and would not work on large datasets in a distributed environment.
- ✗
`from pyspark.sql import PandasAPI`
Why it's wrong here
There is no `PandasAPI` class in `pyspark.sql`. The Pandas API on Spark is provided by the `pyspark.pandas` module, not as a class within `pyspark.sql`. This import would raise an ImportError. It is a common misconception to look for it under `pyspark.sql`, but the correct module is separate.
- ✓
`import pyspark.pandas as ps`
Why this is correct
The correct module for Pandas API on Spark is `pyspark.pandas`. Importing it as `ps` is a common convention. This provides the pandas-like API that runs on Spark. In Databricks, this module is available by default, and this import statement is the standard way to access the API.
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Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Databricks exam blueprint
This Databricks-Spark-Assoc practice question is part of Courseiva's free Databricks certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the Databricks-Spark-Assoc exam.