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

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

2. A data scientist has identified that some records in the user profile table contain null values in any of the fields, and such records should be removed from the dataset before processing. The schema includes fields like user_id, username, date_of_birth, created_ts, etc.
The schema of the user profile table looks like this:

Which block of Spark code can be used to achieve this requirement?
Options:

A) filtered_df = users_raw_df.na.drop(how='all', thresh=None)
B) filtered_df = users_raw_df.na.drop(how='any')
C) filtered_df = users_raw_df.na.drop(thresh=0)
D) filtered_df = users_raw_df.na.drop(how='all')

3. A data engineer replaces the exact percentile() function with approx_percentile() to improve performance, but the results are drifting too far from expected values.
Which change should be made to solve the issue?

A) Decrease the value of the accuracy parameter in order to decrease the memory usage but also improve the accuracy
B) Decrease the first value of the percentage parameter to increase the accuracy of the percentile ranges
C) Increase the value of the accuracy parameter in order to increase the memory usage but also improve the accuracy
D) Increase the last value of the percentage parameter to increase the accuracy of the percentile ranges

4. 5 of 55.
What is the relationship between jobs, stages, and tasks during execution in Apache Spark?

A) A stage contains multiple jobs, and each job contains multiple tasks.
B) A job contains multiple stages, and each stage contains multiple tasks.
C) A stage contains multiple tasks, and each task contains multiple jobs.
D) A job contains multiple tasks, and each task contains multiple stages.

5. 45 of 55.
Which feature of Spark Connect should be considered when designing an application that plans to enable remote interaction with a Spark cluster?

A) It is primarily used for data ingestion into Spark from external sources.
B) It provides a way to run Spark applications remotely in any programming language.
C) It can be used to interact with any remote cluster using the REST API.
D) It allows for remote execution of Spark jobs.

Solutions: