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Earning the Databricks Certified Associate Developer for Apache Spark 3.0 credential signals skills that employers recognize worldwide, which is exactly why the Associate-Developer-Apache-Spark exam is worth preparing for properly. Actual4Labs builds its 179 practice questions around the official outline, so your effort goes into topics that actually get tested.
| Certification Vendor: | Databricks |
|---|---|
| Exam Name: | Databricks Certified Associate Developer for Apache Spark 3.0 Exam |
| Exam Number: | Associate-Developer-Apache-Spark |
| Exam Price: | $200 USD |
| Certificate Validity Period: | 2 years |
| Real Exam Qty: | 60 |
| Related Certifications: | Databricks Certified Professional Data Engineer Databricks Certified Associate Data Engineer |
| Exam Duration: | 120 minutes |
| Available Languages: | English |
| Passing Score: | 70% |
| Exam Format: | Multiple Select, Multiple Choice |
| Recommended Training: | Databricks Exam Guide Databricks Academy - Apache Spark for Developers |
| Exam Registration: | Databricks Certification Portal |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored or in-person at authorized test centers |
| Pre Condition: | Basic programming experience in Python or Scala; working knowledge of SQL; recommended 6+ months of hands-on Spark experience |
| Official Syllabus URL: | https://www.databricks.com/learn/certification/apache-spark-developer-associate |
| Section | Weight | Objectives |
|---|---|---|
| Developing DataFrame API Applications | 44% | - Column and row manipulation - Filtering, sorting, aggregation - Reading/writing data and partitioning - User-defined functions (UDFs) - Handling missing data and duplicates |
| Structured Streaming | 8% | - Streaming concepts and operations - Output modes and triggers |
| Apache Spark Architecture and Components | 28% | - Lazy evaluation, transformations vs actions - Fault tolerance and shuffle operations - Spark execution model and hierarchy - Driver and executor architecture |
| Troubleshooting and Tuning | 8% | - Performance optimization - Query plans and execution analysis |
| Using Spark SQL | 12% | - Querying data with Spark SQL - Working with views and tables - Supported file formats and data sources |
The Associate-Developer-Apache-Spark exam, officially titled Databricks Certified Associate Developer for Apache Spark 3.0 Exam, is the Databricks exam you pass to earn the Databricks Certified Associate Developer for Apache Spark 3.0 certification, a credential at the Associate level. Passing it confirms the skills defined in the official exam outline, and it is associated with related credentials such as Databricks Certified Professional Data Engineer, Databricks Certified Associate Data Engineer.
The Associate-Developer-Apache-Spark exam includes 60 questions and gives you 120 minutes to finish them. That is a tight pace per question, so get used to reading each stem once, flagging anything uncertain, and moving on rather than getting stuck. Running timed practice tests in the Actual4Labs desktop or online test engine is the most reliable way to build that rhythm before exam day.
The passing score for the Associate-Developer-Apache-Spark exam is 70%, and the official registration fee is $200 USD. Keep in mind that a failed attempt means paying $200 USD again in full to retake it, so book your slot only when your scores on Actual4Labs practice tests sit consistently above the passing line.
Databricks lists the following prerequisites or eligibility notes for the Associate-Developer-Apache-Spark exam: Basic programming experience in Python or Scala; working knowledge of SQL; recommended 6+ months of hands-on Spark experience. Requirements can change over time, so confirm the details on the official exam page at Databricks's official site before you register.
You can register for the Associate-Developer-Apache-Spark exam through the official channels below:
The exam is delivered in the following format: Online proctored or in-person at authorized test centers. Choose a date that leaves you enough time to work through the full 179-question practice set first.
Databricks recommends the following training resources for Associate-Developer-Apache-Spark candidates:
Official courses build the theory, and the 179 practice questions from Actual4Labs help you turn that theory into exam-ready speed and accuracy.
Yes. Actual4Labs offers a free PDF demo of the Associate-Developer-Apache-Spark material, so you can check the question style and answer quality before purchasing. Every purchase also includes 365 days of free updates, and if your product expires you can extend the update service at a 50% discount from your member zone.
Your purchase is protected by a 100% Money Back Guarantee with clear conditions: if you take the corresponding Associate-Developer-Apache-Spark exam within 60 days of purchase and do not pass, you can apply for a full refund. The candidate name must match the payer name, and you need to submit a scanned exam enrollment slip together with the official Score Report PDF within 2 days of taking the exam; claims are processed within 7 days. Sitting the exam within 3 days of purchase, downloading without taking the exam, free materials, and expired orders are not covered. If you would rather not take a refund, you can exchange your order for two free exam products of equal value and keep the update service on your original purchase.
Delivery is instant: your download links are emailed within one minute of payment, and you can also download directly from the website. If nothing arrives within 2 hours, contact customer service and check your spam folder. There is no limit on how many computers you can install the material on.
The Associate-Developer-Apache-Spark exam blueprint is divided into 5 domains, starting with Apache Spark Architecture and Components (28%); Developing DataFrame API Applications (44%); Using Spark SQL (12%). For the complete domain-by-domain breakdown, see the Exam Topics section above — it lists every topic the current outline covers.
The code block displayed below contains an error. The code block should count the number of rows that have a predError of either 3 or 6. Find the error.
Code block:
transactionsDf.filter(col('predError').in([3, 6])).count()
Correct Answer: E 🗳️
Explanation: Only visible for Actual4Labs members. You can sign-up / login (it's free).
Which of the following code blocks returns a DataFrame with an added column to DataFrame transactionsDf that shows the unix epoch timestamps in column transactionDate as strings in the format month/day/year in column transactionDateFormatted?
Excerpt of DataFrame transactionsDf:
Correct Answer: C 🗳️
Explanation: Only visible for Actual4Labs members. You can sign-up / login (it's free).
The code block displayed below contains an error. The code block should return the average of rows in column value grouped by unique storeId. Find the error.
Code block:
transactionsDf.agg("storeId").avg("value")
Correct Answer: B 🗳️
Explanation: Only visible for Actual4Labs members. You can sign-up / login (it's free).
The code block displayed below contains an error. The code block should merge the rows of DataFrames transactionsDfMonday and transactionsDfTuesday into a new DataFrame, matching column names and inserting null values where column names do not appear in both DataFrames. Find the error.
Sample of DataFrame transactionsDfMonday:
1.+-------------+---------+-----+-------+---------+----+
2.|transactionId|predError|value|storeId|productId| f|
3.+-------------+---------+-----+-------+---------+----+
4.| 5| null| null| null| 2|null|
5.| 6| 3| 2| 25| 2|null|
6.+-------------+---------+-----+-------+---------+----+
Sample of DataFrame transactionsDfTuesday:
1.+-------+-------------+---------+-----+
2.|storeId|transactionId|productId|value|
3.+-------+-------------+---------+-----+
4.| 25| 1| 1| 4|
5.| 2| 2| 2| 7|
6.| 3| 4| 2| null|
7.| null| 5| 2| null|
8.+-------+-------------+---------+-----+
Code block:
sc.union([transactionsDfMonday, transactionsDfTuesday])
Correct Answer: D 🗳️
Explanation: Only visible for Actual4Labs members. You can sign-up / login (it's free).
Which of the following code blocks stores DataFrame itemsDf in executor memory and, if insufficient memory is available, serializes it and saves it to disk?
Correct Answer: E 🗳️
Explanation: Only visible for Actual4Labs members. You can sign-up / login (it's free).
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