Pass the actual test with the help of Associate-Developer-Apache-Spark study guide
Last Updated: Sep 20, 2026
No. of Questions: 179 Questions & Answers with Testing Engine
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The Databricks Certified Associate Developer for Apache Spark 3.0 exam is known for tricky wording and broad coverage. Working through 179 practice questions at Actualtests4sure exposes your weak spots before they can cost you on exam day.
| Certification Vendor: | Databricks |
|---|---|
| Exam Name: | Databricks Certified Associate Developer for Apache Spark 3.0 Exam |
| Exam Number: | Associate-Developer-Apache-Spark |
| Exam Duration: | 120 minutes |
| Related Certifications: | Databricks Certified Data Engineer Associate Databricks Certified Data Engineer Professional |
| Exam Format: | Multiple choice, Multiple select |
| Real Exam Qty: | 45-60 |
| Exam Price: | $200 USD |
| Available Languages: | English |
| Passing Score: | 70% |
| Certificate Validity Period: | 2 years |
| Recommended Training: | Databricks Academy - Apache Spark Fundamentals |
| Exam Registration: | Databricks Certification Portal |
| Sample Questions: | Databricks Associate-Developer-Apache-Spark Sample Questions |
| Exam Way: | Online proctored exam |
| Pre Condition: | Recommended 6+ months of experience with Apache Spark and basic Python or Scala knowledge |
| Official Syllabus URL: | https://www.databricks.com/learn/certification |
| Section | Objectives |
|---|---|
| Topic 1: Data Ingestion and Storage Formats | - Reading and writing data
|
| Topic 2: Spark SQL | - SQL queries in Spark
|
| Topic 3: Apache Spark Architecture and Fundamentals | - Spark architecture overview
|
| Topic 4: Transformations and Actions | - Core RDD/DataFrame operations
|
| Topic 5: Performance and Optimization Basics | - Optimization concepts
|
| Topic 6: Spark DataFrame API | - DataFrame operations
|
The Databricks Associate-Developer-Apache-Spark exam, officially titled Databricks Certified Associate Developer for Apache Spark 3.0 Exam, is the required test for earning the Databricks Certified Associate Developer for Apache Spark 3.0 certification, a credential at the Associate level. Passing it validates the skills Databricks expects from certified professionals, and it can also support progress toward related credentials such as Databricks Certified Data Engineer Associate, Databricks Certified Data Engineer Professional.
The Associate-Developer-Apache-Spark exam includes 45-60 questions, and you have 120 minutes to complete it. Before exam day, divide the available time by the question count so you know the pace you need to hold, and practice flagging time-consuming items for review instead of stalling on a single question. Timed sessions in the Actualtests4sure test engine are the easiest way to build that rhythm before it counts.
You need 70% to pass the Associate-Developer-Apache-Spark exam, and the official registration fee is $200 USD. Keep in mind that a failed attempt means paying that fee in full again for a retake, so avoid booking your seat on a hunch. Work through the Actualtests4sure practice test until your scores sit comfortably above the passing requirement before you schedule the exam.
Databricks asks candidates to meet the following requirement before registering: Recommended 6+ months of experience with Apache Spark and basic Python or Scala knowledge. Exam policies do change, so confirm the latest details on the official exam page at https://www.databricks.com/learn/certification before you book.
You can book your seat through the official registration channels below:
The Associate-Developer-Apache-Spark exam is delivered in the following format: Online proctored exam.
Databricks recommends the following official training for this exam:
A course builds the theory; practice turns it into exam-day performance. Once you finish a class, the 179 practice questions from Actualtests4sure show you how the same knowledge appears in exam-style items.
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The Databricks Certified Associate Developer for Apache Spark 3.0 exam is organized into 6 major domains. Some of the key domains include:
Scroll up to the Exam Topics section for the complete breakdown, and use it to plan how much study time each domain deserves.
Which of the following code blocks returns all unique values across all values in columns value and productId in DataFrame transactionsDf in a one-column DataFrame?
Correct Answer: B 🗳️
Explanation: Only visible for Actualtests4sure members. You can sign-up / login (it's free).
The code block shown below should return a two-column DataFrame with columns transactionId and supplier, with combined information from DataFrames itemsDf and transactionsDf. The code block should merge rows in which column productId of DataFrame transactionsDf matches the value of column itemId in DataFrame itemsDf, but only where column storeId of DataFrame transactionsDf does not match column itemId of DataFrame itemsDf. Choose the answer that correctly fills the blanks in the code block to accomplish this.
Code block:
transactionsDf.__1__(itemsDf, __2__).__3__(__4__)
Correct Answer: A 🗳️
Explanation: Only visible for Actualtests4sure members. You can sign-up / login (it's free).
Which of the following code blocks reads JSON file imports.json into a DataFrame?
Correct Answer: E 🗳️
Explanation: Only visible for Actualtests4sure members. You can sign-up / login (it's free).
The code block shown below should return an exact copy of DataFrame transactionsDf that does not include rows in which values in column storeId have the value 25. Choose the answer that correctly fills the blanks in the code block to accomplish this.
Correct Answer: D 🗳️
Explanation: Only visible for Actualtests4sure members. You can sign-up / login (it's free).
Which of the following describes the difference between client and cluster execution modes?
Correct Answer: B 🗳️
Explanation: Only visible for Actualtests4sure members. You can sign-up / login (it's free).
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