Databricks Certified Associate Developer for Apache Spark Associate
The Certified Associate Developer for Apache Spark certification validates the ability to develop, debug, and optimize Apache Spark applications using Spark APIs. Offered by Databricks, this certification focuses on Spark fundamentals, DataFrame and Dataset APIs, Spark SQL, and core distributed processing concepts. It is designed for developers working with large-scale data processing and analytics on Spark-based platforms.
- Exam Breakdown
- Domain Breakdown
- Access Breakdown
Exam Format
- Exam Title: Databricks Certified Associate Developer for Apache Spark
- Certification Provider: Databricks
- Exam Duration: ~120 minutes (2 hours)
- Passing Score: Approximately 70% (varies slightly by exam version)
- Exam Type: Multiple choice and multiple select questions
- Scored Content: All questions count toward your score
Exam Details
- Question Types: Multiple choice & multiple select
- Number of Questions: ~60 questions
Exam Policies
- Proctoring: Online proctored exam — taken remotely via Databricks/Testing partner portal
- Retake Policy: No official free retakes; retake is possible with full exam fee
- Language: English
Certification Validity and Renewal
- Validity: Typically valid for 2 years from the date of passing (as per industry reports and certification guides)
- Renewal Options: Candidates should re-take the exam to renew certification after expiry.
Exam Fee
- Base Fee: ~USD $200 (excluding tax)
- Taxes: Country-specific VAT/GST may apply
- Example (India): GST extra as per local tax laws
Prerequisites
There are no formal prerequisites to register for the exam. However, recommended preparation includes:
- Working knowledge of Python programming
- Familiarity with Apache Spark core concepts and Spark DataFrame API
- Basic understanding of distributed computing and data processing with Spark
Exam Topics
- Based on the official exam syllabus from Databricks and trusted overviews, key areas include:
- Apache Spark architecture and components (execution, deployment modes, fault tolerance, lazy evaluation) — ~20%
- Using Spark SQL for querying and transformation — ~20%
- Developing applications with Spark DataFrame/DataSet APIs — ~30%
- Troubleshooting and tuning Spark DataFrame applications — ~10%
- Structured Streaming fundamentals — ~10%
- Using Spark Connect to deploy applications — ~5%
- Working with the Pandas API on Spark — ~5%
Intended Audience
- This certification is ideal for professionals seeking to demonstrate foundational Spark developer skills, including:
- Spark Developers
- Data Engineers
- Big Data Analysts
- Application Developers working with distributed data processing
Career Impact
Jobs You Can Get:
- Apache Spark Developer
- Data Engineer
- Big Data Software Engineer
- Analytics Developer
Average Salary:
- Varies by country — U.S.: $90,000–$145,000 USD, India: ₹8,00,000–₹26,00,000 INR, United Kingdom: £45,000–£85,000 GBP, UAE: 170,000–320,000 AED per year.
Why It’s Valuable:
- This certification demonstrates your ability to build and troubleshoot basic Spark applications — a crucial skill for data engineering roles working with large-scale data processing. It’s especially valuable for professionals working in Python and Spark ecosystems.
Exam Mode
The exam is proctored and can be taken either:
- Online through the Databricks exam delivery platform powered by Kryterion/Webassessor
- At a test center, as Databricks lists the delivery method as online or test center
Exam Booking Link
- Book your Databricks Certified Associate Developer for Apache Spark exam through the official Databricks certification page. Databricks directs candidates to log in or create an account on its exam delivery platform to register.
(https://www.databricks.com/learn/certification/apache-spark-developer-associate?utm_source=chatgpt.com)
Once you pass the exam
- Receive your certification result after completing the exam
- Access your earned Databricks credential
- Claim or share your Databricks badge/certification
- Add the credential to your resume, LinkedIn profile, or professional portfolio
- Recertify every two years to maintain active certified status
Offers
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Databricks Certified Associate Developer for Apache Spark Associate
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