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Databricks Associate-Developer-Apache-Spark-3.5 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Troubleshooting and Tuning | 10% | - Performance Optimization
|
| Developing Apache Spark DataFrame API Applications | 30% | - DataFrame Operations
|
| Using Spark Connect to Deploy Applications | 5% | - Spark Connect
|
| Using Pandas API on Spark | 5% | - Pandas API
|
| Structured Streaming | 10% | - Streaming Applications
|
| Using Spark SQL | 20% | - Spark SQL Operations
|
| Apache Spark Architecture and Components | 20% | - Spark Architecture
|
Databricks Certified Associate Developer for Apache Spark 3.5 - Python Sample Questions:
What is a feature of Spark Connect?
- A. It supports DataStreamReader, DataStreamWriter, StreamingQuery, and Streaming APIs
- B. Supports DataFrame, Functions, Column, SparkContext PySpark APIs
- C. It supports only PySpark applications
- D. It has built-in authentication
Correct Answer: A 🗳️
Explanation: Only visible for CertkingdomPDF members. You can sign-up / login (it's free).
In the code block below, aggDF contains aggregations on a streaming DataFrame:
Which output mode at line 3 ensures that the entire result table is written to the console during each trigger execution?
- A. replace
- B. append
- C. aggregate
- D. complete
Correct Answer: D 🗳️
Explanation: Only visible for CertkingdomPDF members. You can sign-up / login (it's free).
A data scientist wants each record in the DataFrame to contain:
The first attempt at the code does read the text files but each record contains a single line. This code is shown below:
The entire contents of a file
The full file path
The issue: reading line-by-line rather than full text per file.
Code:
corpus = spark.read.text("/datasets/raw_txt/*") \
.select('*', '_metadata.file_path')
Which change will ensure one record per file?
Options:
- A. Add the option wholetext=True to the text() function
- B. Add the option lineSep='\n' to the text() function
- C. Add the option wholetext=False to the text() function
- D. Add the option lineSep=", " to the text() function
Correct Answer: A 🗳️
Explanation: Only visible for CertkingdomPDF members. You can sign-up / login (it's free).
A developer runs:
What is the result?
Options:
- A. It appends new partitions to an existing Parquet file.
- B. It stores all data in a single Parquet file.
- C. It creates separate directories for each unique combination of color and fruit.
- D. It throws an error if there are null values in either partition column.
Correct Answer: C 🗳️
Explanation: Only visible for CertkingdomPDF members. You can sign-up / login (it's free).
Given a CSV file with the content:
And the following code:
from pyspark.sql.types import *
schema = StructType([
StructField("name", StringType()),
StructField("age", IntegerType())
])
spark.read.schema(schema).csv(path).collect()
What is the resulting output?
- A. The code throws an error due to a schema mismatch.
- B. [Row(name='alladin', age=20)]
- C. [Row(name='bambi'), Row(name='alladin', age=20)]
- D. [Row(name='bambi', age=None), Row(name='alladin', age=20)]
Correct Answer: D 🗳️
Explanation: Only visible for CertkingdomPDF members. You can sign-up / login (it's free).
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