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Databricks Associate-Developer-Apache-Spark Exam Overview:
| Certification Vendor: | Databricks |
|---|---|
| Exam Name: | Databricks Certified Associate Developer for Apache Spark 3.0 Exam |
| Exam Number: | Associate-Developer-Apache-Spark |
| Passing Score: | 70% |
| Real Exam Qty: | 60 |
| Certificate Validity Period: | 2 years |
| Exam Format: | Multiple Choice, Multiple Select |
| Related Certifications: | Databricks Certified Professional Data Engineer Databricks Certified Associate Data Engineer |
| Exam Price: | $200 USD |
| Exam Duration: | 120 minutes |
| Available Languages: | English |
| Recommended Training: | Databricks Exam Guide Databricks Academy - Apache Spark for Developers |
| Exam Registration: | Databricks Certification Portal |
| Sample Questions: |  |
| 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 |
Databricks Associate-Developer-Apache-Spark Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Developing DataFrame API Applications | 44% | - Filtering, sorting, aggregation - Handling missing data and duplicates - Reading/writing data and partitioning - User-defined functions (UDFs) - Column and row manipulation |
| Structured Streaming | 8% | - Streaming concepts and operations - Output modes and triggers |
| Apache Spark Architecture and Components | 28% | - Driver and executor architecture - Fault tolerance and shuffle operations - Lazy evaluation, transformations vs actions - Spark execution model and hierarchy |
| Troubleshooting and Tuning | 8% | - Performance optimization - Query plans and execution analysis |
| Using Spark SQL | 12% | - Querying data with Spark SQL - Supported file formats and data sources - Working with views and tables |
What Candidates Ask About the Databricks Associate-Developer-Apache-Spark Exam
The Databricks Certified Associate Developer for Apache Spark 3.0 blueprint spans 5 domains — including Troubleshooting and Tuning (8%), Using Spark SQL (12%), Developing DataFrame API Applications (44%). Spend your hours where the percentages are; the full outline above lists every subtopic.
Yes:
After any official course, verify retention with the 179 practice questions for the Databricks Certified Associate Developer for Apache Spark 3.0 — scored simulation shows what lectures can't.
$200 USD per attempt, 70% to pass. Retakes bill the full fee again, so make the first attempt the prepared one — rehearse with the 179 practice questions from ExamTorrent until the mark is comfortably behind you.
Through the vendor's official channels:
The Databricks Certified Associate Developer for Apache Spark 3.0 is delivered Online proctored or in-person at authorized test centers — choose the option that fits your schedule.
120 minutes for 60 questions. Train the pace, don't guess it: the ExamTorrent software and online engines simulate the real test scene and score your performance, so exam day holds no surprises.
Basic programming experience in Python or Scala; working knowledge of SQL; recommended 6+ months of hands-on Spark experience Vendors adjust eligibility rules over time — verify the current requirements on the official page (official Associate-Developer-Apache-Spark exam page) before registering.
Files first: payment triggers an automatic email within a minute — download on unlimited devices, and contact our round-the-clock team if nothing arrives within 2 hours (check spam). Failure is covered: take the corresponding Associate-Developer-Apache-Spark exam within 60 days of purchase, and if you don't pass, email a scanned enrollment slip plus the official Score Report PDF within 2 days of the exam — we handle it quickly, with the full refund processed within 7 days. Exclusions: exams within 3 days of purchase, candidate names that don't match the payer, and free or expired products. You may instead exchange for two equal-value products free.
Yes — download the free Databricks Certified Associate Developer for Apache Spark 3.0 demo and inspect real questions before paying. Your purchase then stays valid for 365 days with free updates throughout, renewable afterward at 50% off.
The Databricks Certified Associate Developer for Apache Spark 3.0 is Databricks's official exam for the Databricks Certified Associate Developer for Apache Spark 3.0 certification, at the Associate level. It validates practical, job-relevant skills — which is why employers shortlist certified candidates. Related credentials include Databricks Certified Professional Data Engineer, Databricks Certified Associate Data Engineer.
Databricks Certified Associate Developer for Apache Spark 3.0 Sample Questions:
Which of the following code blocks returns a DataFrame that matches the multi-column DataFrame itemsDf, except that integer column itemId has been converted into a string column?
- A. itemsDf.withColumn("itemId", col("itemId").convert("string"))
- B. spark.cast(itemsDf, "itemId", "string")
- C. itemsDf.select(cast("itemId", "string"))
- D. itemsDf.withColumn("itemId", col("itemId").cast("string"))
(Correct) - E. itemsDf.withColumn("itemId", convert("itemId", "string"))
Correct Answer: D 🗳️
Explanation: Only visible for ExamTorrent members. You can sign-up / login (it's free).
The code block shown below should return a one-column DataFrame where the column storeId is converted to string type. Choose the answer that correctly fills the blanks in the code block to accomplish this.
transactionsDf.__1__(__2__.__3__(__4__))
- A. 1. select
2. col("storeId")
3. cast
4. StringType() - B. 1. select
2. storeId
3. cast
4. StringType() - C. 1. select
2. col("storeId")
3. as
4. StringType - D. 1. cast
2. "storeId"
3. as
4. StringType() - E. 1. select
2. col("storeId")
3. cast
4. StringType
Correct Answer: A 🗳️
Explanation: Only visible for ExamTorrent members. You can sign-up / login (it's free).
The code block displayed below contains an error. The code block should save DataFrame transactionsDf at path path as a parquet file, appending to any existing parquet file. Find the error.
Code block:
- A. Given that the DataFrame should be saved as parquet file, path is being passed to the wrong method.
- B. The code block is missing a bucketBy command that takes care of partitions.
- C. transactionsDf.format("parquet").option("mode", "append").save(path)
- D. The mode option should be omitted so that the command uses the default mode.
- E. save() is evaluated lazily and needs to be followed by an action.
- F. The code block is missing a reference to the DataFrameWriter.
Correct Answer: F 🗳️
Explanation: Only visible for ExamTorrent members. You can sign-up / login (it's free).
Which of the following statements about Spark's execution hierarchy is correct?
- A. In Spark's execution hierarchy, a stage comprises multiple jobs.
- B. In Spark's execution hierarchy, tasks are one layer above slots.
- C. In Spark's execution hierarchy, a job may reach over multiple stage boundaries.
- D. In Spark's execution hierarchy, manifests are one layer above jobs.
- E. In Spark's execution hierarchy, executors are the smallest unit.
Correct Answer: C 🗳️
Explanation: Only visible for ExamTorrent members. You can sign-up / login (it's free).
The code block shown below should return the number of columns in the CSV file stored at location filePath.
From the CSV file, only lines should be read that do not start with a # character. Choose the answer that correctly fills the blanks in the code block to accomplish this.
Code block:
__1__(__2__.__3__.csv(filePath, __4__).__5__)
- A. 1. size
2. spark
3. read()
4. escape='#'
5. columns - B. 1. len
2. pyspark
3. DataFrameReader
4. comment='#'
5. columns - C. 1. size
2. pyspark
3. DataFrameReader
4. comment='#'
5. columns - D. 1. DataFrame
2. spark
3. read()
4. escape='#'
5. shape[0] - E. 1. len
2. spark
3. read
4. comment='#'
5. columns
Correct Answer: E 🗳️
Explanation: Only visible for ExamTorrent members. You can sign-up / login (it's free).
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