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

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

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

2. A data engineer needs to write a Streaming DataFrame as Parquet files.
Given the code:

Which code fragment should be inserted to meet the requirement?
A)

B)

C)

D)

Which code fragment should be inserted to meet the requirement?

A) .format("parquet")
.option("location", "path/to/destination/dir")
B) .option("format", "parquet")
.option("location", "path/to/destination/dir")
C) CopyEdit
.option("format", "parquet")
.option("destination", "path/to/destination/dir")
D) .format("parquet")
.option("path", "path/to/destination/dir")

3. Given a DataFramedfthat has 10 partitions, after running the code:
result = df.coalesce(20)
How many partitions will the result DataFrame have?

A) 10
B) Same number as the cluster executors
C) 20
D) 1

4. An engineer has two DataFrames: df1 (small) and df2 (large). A broadcast join is used:
python
CopyEdit
frompyspark.sql.functionsimportbroadcast
result = df2.join(broadcast(df1), on='id', how='inner')
What is the purpose of using broadcast() in this scenario?
Options:

A) It filters the id values before performing the join.
B) It ensures that the join happens only when the id values are identical.
C) It reduces the number of shuffle operations by replicating the smaller DataFrame to all nodes.
D) It increases the partition size for df1 and df2.

5. You have:
DataFrame A: 128 GB of transactions
DataFrame B: 1 GB user lookup table
Which strategy is correct for broadcasting?

A) DataFrame A should be broadcasted because it is larger and will eliminate the need for shuffling DataFrame B
B) DataFrame B should be broadcasted because it is smaller and will eliminate the need for shuffling itself
C) DataFrame A should be broadcasted because it is smaller and will eliminate the need for shuffling itself
D) DataFrame B should be broadcasted because it is smaller and will eliminate the need for shuffling DataFrame A

Solutions: