The short version
Databricks requires nothing formal. There is no earlier certification to hold and no course to attend. It does highly recommend related training and about six months of hands-on experience with Apache Spark. Basic Python is the one skill you cannot do without, since every code snippet on the exam is Python.
Required versus recommended
According to the Databricks exam guide, it lists no required prerequisite. The same guide says related course attendance and six months of hands-on experience in Apache Spark are highly recommended. So you can register without proof of anything, but the exam assumes you have written Spark code.
Databricks does not name a preceding certification for this exam on the pages we read.
Recommended training
The exam guide lists these:
- Instructor-led: Apache Spark Programming with Databricks.
- Self-paced, in Databricks Academy: Introduction to Apache Spark, Developing Applications with Apache Spark, Stream Processing and Analysis with Apache Spark, and Monitoring and Optimizing Apache Spark Workloads on Databricks.
Check the Databricks exam page for the current list and for any access rules, which we have not verified. You do not have to take them all. Pick the ones that match your gaps.
What you should know before you start
Python. Functions, lists and dictionaries, lambdas, imports, and reading a stack trace. You do not need advanced Python. You do need to read a code snippet at a glance.
SQL. Select, filter, group by, joins, and window functions. Spark SQL is a whole domain, and SQL ideas help with the DataFrame API.
Data basics. What a schema is, the difference between CSV, JSON, and Parquet, and what a null is. It helps to know that columnar file formats suit analytics.
Distributed ideas. You do not need to know them at the start, but you will need to learn that data is split into partitions across machines, and that moving data between machines (a shuffle) costs time.
A place to practice. Access to a Spark session, whether on your machine or in a notebook service.
Skills self-check
Answer each with yes or no. If you answer no to more than a handful, spend a few weeks on basics before the study plan.
- Can you write a Python function and call it?
- Can you read a CSV file into a DataFrame, with or without a schema?
- Can you select, filter, and rename columns?
- Can you explain the difference between a transformation and an action?
- Can you write an inner join and a left join and say what each returns?
- Can you group and aggregate with more than one aggregate function?
- Can you write a DataFrame to Parquet, partitioned by a column?
- Can you describe what the driver and the executors each do?
- Can you say what a shuffle is and name two operations that cause one?
- Can you create a temporary view and query it with SQL?
- Have you opened the Spark UI and found a stage?
- Can you describe, in one sentence, what a streaming query does differently from a batch one?
If you are missing something
- Weak Python: work through a beginner course on functions, collections, and error messages.
- Weak SQL: practice joins and window functions on a small dataset.
- No Spark experience: start with the first Databricks Academy course on the list, then build a small project, such as cleaning a public CSV file and writing it out partitioned.
- No streaming experience: read the Structured Streaming guide in the Apache Spark documentation, and run its word count example.
A realistic starting point
Many candidates start the study plan with some Spark exposure and fill gaps along the way. If you are brand-new, add several weeks of fundamentals first. Starting practice tests early is fine, as long as you treat a low first score as a map and not a verdict.
More guides for DATABRICKS-SPARK-ASSOCIATE
- Spark Associate Exam Format and Scoring
- Spark Associate Domains Explained
- Spark Associate Sample Questions
- Is the Databricks Spark Associate Hard?
- Spark Associate Renewal and Retakes
- Is the Databricks Spark Associate Worth It?
- Spark Associate Cheat Sheet: Key Facts
- DE Pro vs Spark Associate: Which First?
Next step
When the checklist looks mostly green, start with the study plan. To find your gaps quickly, take a first cold set from our Databricks Spark Associate practice tests.