Free reasoning-led diagnostic
Databricks Certified Associate Developer for Apache Spark Mock Exam & Readiness Assessment
A free 30-question diagnostic for Databricks Certified Associate Developer for Apache Spark. Answer at your own pace, then review a domain-by-domain readiness signal with fully explained reasoning for every question.
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- 30 Questions
- 30 Single-Answer / 0 Multi-Answer
- 7 Domains
- 60 minutes (~2 minutes per question based on the official exam)
Who This Diagnostic Is For
This assessment is for learners preparing for Databricks Certified Associate Developer for Apache Spark who want an honest, evidence-based signal of where they stand today. Every question is original CertShield content, technically validated against current official documentation (Live version effective October 30, 2025) and peer-reviewed by subject-matter experts before publication.
What It Measures
| Domain | Questions |
|---|---|
| Apache Spark Architecture and Components | 6 |
| Developing Apache Spark™ DataFrame/DataSet API Applications | 9 |
| Structured Streaming | 3 |
| Troubleshooting and Tuning Apache Spark DataFrame API Applications | 3 |
| Using Pandas API on Apache Spark | 1 |
| Using Spark Connect to deploy applications | 2 |
| Using Spark SQL | 6 |
Limitations of this diagnostic: 30 questions cannot cover every exam objective with equal depth. Domains with fewer than three questions are labelled "Limited evidence" in your results and can never cause a readiness downgrade on their own. This is not an official exam, an accredited course, or a pass-rate prediction.
Technically validated: Completed August 30, 2026, against the Databricks Certified Associate Developer for Apache Spark exam guide (effective October 30, 2025, confirmed still current on the live certification page) and official Apache Spark and Databricks technical documentation. See the assessment methodology for how scoring, confidence and readiness safeguards work.
About the Official Databricks Certified Associate Developer for Apache Spark Exam
Sourced directly from the official Databricks Certified Associate Developer for Apache Spark Exam Guide — Live version effective October 30, 2025.
- Questions
- 45 scored multiple-choice questions
- Time Limit
- 90 minutes
- Passing Score
- Not publicly disclosed by Databricks
- Registration Fee
- $200
- Delivery
- Online-proctored or at a test center
- Validity
- 2 years, with a full retake required to recertify
Official exam domains this diagnostic mirrors:
- Apache Spark Architecture and Components
- Using Spark SQL
- Developing Apache Spark™ DataFrame/DataSet API Applications
- Troubleshooting and Tuning Apache Spark DataFrame API Applications
- Structured Streaming
- Using Spark Connect to deploy applications
- Using Pandas API on Apache Spark
Who this certification is for:
Databricks' own exam guide describes the ideal candidate as someone who understands Apache Spark's architecture and components and can apply the Spark DataFrame API to complete basic data manipulation tasks — selecting, filtering, and aggregating rows and columns, handling missing data, and working with UDFs and Spark SQL functions using Python.
Unscored calibration questions may appear on the real exam; extra time is already factored in to account for them.
Frequently Asked Questions
How many questions are on the Databricks Certified Associate Developer for Apache Spark exam?
45 scored multiple-choice questions
How long is the Databricks Certified Associate Developer for Apache Spark exam?
90 minutes
What is the passing score for Databricks Certified Associate Developer for Apache Spark?
Not publicly disclosed by Databricks
How much does the Databricks Certified Associate Developer for Apache Spark exam cost?
$200
What topics are covered in the Databricks Certified Associate Developer for Apache Spark exam?
The exam covers Apache Spark Architecture and Components, Using Spark SQL, Developing Apache Spark™ DataFrame/DataSet API Applications, Troubleshooting and Tuning Apache Spark DataFrame API Applications, Structured Streaming, Using Spark Connect to deploy applications, and Using Pandas API on Apache Spark.
Who is the Databricks Certified Associate Developer for Apache Spark exam for?
Databricks' own exam guide describes the ideal candidate as someone who understands Apache Spark's architecture and components and can apply the Spark DataFrame API to complete basic data manipulation tasks — selecting, filtering, and aggregating rows and columns, handling missing data, and working with UDFs and Spark SQL functions using Python.
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