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Databricks Associate-Developer-Apache-Spark-3.5 Exam Syllabus Topics:

Databricks Certified Associate Developer for Apache Spark 3.5 - Python Sample Questions:

1. Given the schema:

event_ts TIMESTAMP,
sensor_id STRING,
metric_value LONG,
ingest_ts TIMESTAMP,
source_file_path STRING
The goal is to deduplicate based on: event_ts, sensor_id, and metric_value.
Options:

A) dropDuplicates on all columns (wrong criteria)
B) dropDuplicates with no arguments (removes based on all columns)
C) groupBy without aggregation (invalid use)
D) dropDuplicates on the exact matching fields

2. Given:
python
CopyEdit
spark.sparkContext.setLogLevel("<LOG_LEVEL>")
Which set contains the suitable configuration settings for Spark driver LOG_LEVELs?

A) FATAL, NONE, INFO, DEBUG
B) WARN, NONE, ERROR, FATAL
C) ERROR, WARN, TRACE, OFF
D) ALL, DEBUG, FAIL, INFO

3. Which command overwrites an existing JSON file when writing a DataFrame?

A) df.write.mode("overwrite").json("path/to/file")
B) df.write.json("path/to/file", overwrite=True)
C) df.write.overwrite.json("path/to/file")
D) df.write.format("json").save("path/to/file", mode="overwrite")

4. What is the risk associated with this operation when converting a large Pandas API on Spark DataFrame back to a Pandas DataFrame?

A) The conversion will automatically distribute the data across worker nodes
B) The operation will fail if the Pandas DataFrame exceeds 1000 rows
C) Data will be lost during conversion
D) The operation will load all data into the driver's memory, potentially causing memory overflow

5. 38 of 55.
A data engineer is working with Spark SQL and has a large JSON file stored at /data/input.json.
The file contains records with varying schemas, and the engineer wants to create an external table in Spark SQL that:
Reads directly from /data/input.json.
Infers the schema automatically.
Merges differing schemas.
Which code snippet should the engineer use?

A) CREATE EXTERNAL TABLE users
USING json
OPTIONS (path '/data/input.json', mergeAll 'true');
B) CREATE EXTERNAL TABLE users
USING json
OPTIONS (path '/data/input.json', inferSchema 'true');
C) CREATE EXTERNAL TABLE users
USING json
OPTIONS (path '/data/input.json', mergeSchema 'true');
D) CREATE TABLE users
USING json
OPTIONS (path '/data/input.json');

Solutions: