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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:

Question #1
21 of 55.
What is the behavior of the function date_sub(start, days) if a negative value is passed into the days parameter?

A. The same start date will be returned.
B. The number of days specified will be removed from the start date.
C. An error message of an invalid parameter will be returned.
D. The number of days specified will be added to the start date.

Question #2
A data engineer is streaming data from Kafka and requires:
Minimal latency
Exactly-once processing guarantees
Which trigger mode should be used?

A. .trigger(processingTime='1 second')
B. .trigger(continuous='1 second')
C. .trigger(availableNow=True)
D. .trigger(continuous=True)

Question #3
A data engineer wants to process a streaming DataFrame that receives sensor readings every second with columns sensor_id, temperature, and timestamp. The engineer needs to calculate the average temperature for each sensor over the last 5 minutes while the data is streaming.
Which code implementation achieves the requirement?
Options from the images provided:

A.

B.

C.

D.

Question #4
2 of 55. 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")
C. df.write.option("overwrite").json("path/to/file")
D. df.write.mode("append").json("path/to/file")

Question #5
What is the risk associated with this operation when converting a large Pandas API on Spark DataFrame back to a Pandas DataFrame?

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

Solutions: