44 of 55. A data engineer is working on a real-time analytics pipeline using Spark Structured Streaming. They want the system to process incoming data in micro-batches at a fixed interval of 5 seconds.Which code snippet fulfills this requirement?A.query = df.writeStream \.outputMode("append") \.trigger(processingTime="5 seconds") \.start()B.query = df.writeStream \.outputMode("append") \.trigger(continuous="5 seconds") \.start()C.query = df.writeStream \.outputMode("append") \.trigger(once=True) \.start()D.query = df.writeStream \.outputMode("append") \.start()

Databricks Certified Associate Developer for Apache Spark 3.5 Exam - Topic 3 Question 7 Discussion

Actual exam question for Databricks's Databricks Certified Associate Developer for Apache Spark 3.5 exam

Question #: 7
Topic #: 3

[All Databricks Certified Associate Developer for Apache Spark 3.5 Questions]

44 of 55. A data engineer is working on a real-time analytics pipeline using Spark Structured Streaming. They want the system to process incoming data in micro-batches at a fixed interval of 5 seconds.

Which code snippet fulfills this requirement?

query = df.writeStream \

.outputMode("append") \

.trigger(processingTime="5 seconds") \

.start()

query = df.writeStream \

.outputMode("append") \

.trigger(continuous="5 seconds") \

.start()

query = df.writeStream \

.outputMode("append") \

.trigger(once=True) \

.start()

query = df.writeStream \

.outputMode("append") \

.start()

AOption A

BOption B

COption C

DOption D

Show Suggested Answer

Suggested Answer: A

To process data in fixed micro-batch intervals, use the .trigger(processingTime='interval') option in Structured Streaming.

Correct usage:

query = df.writeStream

.outputMode('append')

.trigger(processingTime='5 seconds')

.start()

This instructs Spark to process available data every 5 seconds.

Why the other options are incorrect:

B: continuous triggers are for continuous processing mode (different execution model).

C: once=True runs the stream a single time (batch mode).

D: Default trigger runs as fast as possible, not fixed intervals.

PySpark Structured Streaming Guide --- Trigger types: processingTime, once, continuous.

Databricks Exam Guide (June 2025): Section ''Structured Streaming'' --- controlling streaming triggers and batch intervals.

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by Teresita at Nov 19, 2025, 04:40 AM

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Jodi

1 month ago

D lacks the trigger. It won't process at intervals.

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Tabetha

1 month ago

C is definitely not it. Once means no continuous processing.

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Zita

1 month ago

I feel confident about A too. It matches the requirement.

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Laura

2 months ago

Option B seems wrong. Continuous isn't for micro-batches.

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Magdalene

2 months ago

Agreed! 5 seconds is perfect for micro-batches.

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Fletcher

2 months ago

Is it really just 5 seconds? Seems too short for some use cases.

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An

2 months ago

Wow, I didn't know about the "trigger" options!

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Holley

2 months ago

Option C won't work for micro-batches, right?

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Cathrine

2 months ago

I think Option B is better for continuous processing.

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Pearly

3 months ago

Option A is definitely the right choice!

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Chan

3 months ago

Wait, is this a trick question? I'm going with Option D just to be safe.

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Julian

3 months ago

Option B is the way to go, no doubt about it.

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Tarra

4 months ago

Hmm, I'm torn between Option A and Option B. Tough choice!

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Reuben

4 months ago

Option D seems a bit too simple, I'm going with Option A.

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Pamella

4 months ago

Option C is clearly the way to go here.

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Glory

4 months ago

I think Option B is the correct answer.

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Joanna

4 months ago

Option A looks good to me.

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Leota

4 months ago

Option D seems incomplete since it doesn't specify a trigger, which I think is necessary for setting the interval. I lean towards A as well.

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Tamra

5 months ago

I practiced a similar question, and I recall that `once=True` is used for one-time queries, which wouldn’t work here. So, I think C is definitely wrong.

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Amie

5 months ago

I'm leaning towards Option A as well. The question is specifically asking for a fixed 5-second interval, and Option A seems to address that requirement directly. The other options don't seem to match the problem statement as closely.

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Brittani

5 months ago

Based on my understanding, the `trigger(continuous="5 seconds")` option in Option B is used for continuous processing, which is different from the micro-batch processing that the question is asking for. So I think Option A is the better choice here.

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Eugene

5 months ago

I'm not entirely sure, but I think `continuous` is for continuous processing, which doesn't fit the micro-batch requirement. So, maybe it's not B?

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Glenna

5 months ago

I remember that for micro-batch processing, we typically use the `processingTime` trigger, so I think Option A is the right choice.

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Wilbert

5 months ago

I think Option A is the right choice. It specifies processing time.

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Tricia

6 months ago

Hmm, I'm a bit confused. Option B also mentions a 5-second interval, but it uses the `trigger(continuous="5 seconds")` parameter instead. I'm not sure what the difference is between those two options.

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Lavonda

6 months ago

I think Option A looks like the right choice here. The question specifically asks for a 5-second micro-batch processing interval, and Option A uses the `trigger(processingTime="5 seconds")` parameter to fulfill that requirement.

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