Databricks Certified Data Engineer Associate Exam - Topic 3 Question 47 Discussion

Actual exam question for Databricks's Databricks Certified Data Engineer Associate exam

Question #: 47
Topic #: 3

[All Databricks Certified Data Engineer Associate Questions]

A data engineer has configured a Structured Streaming job to read from a table, manipulate the data, and then perform a streaming write into a new table.

The code block used by the data engineer is below:

If the data engineer only wants the query to process all of the available data in as many batches as required, which of the following lines of code should the data engineer use to fill in the blank?

AprocessingTime(1)

Btrigger(availableNow=True)

Ctrigger(parallelBatch=True)

Dtrigger(processingTime='once')

Etrigger(continuous='once')

Show Suggested Answer

Suggested Answer: B

https://spark.apache.org/docs/latest/api/python/reference/pyspark.ss/api/pyspark.sql.streaming.DataStreamWriter.trigger.html

by Laurena at Mar 23, 2025, 12:07 AM

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Arminda

5 months ago

I’m leaning towards D too, seems like a solid option.

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Ashley

5 months ago

Definitely agree with B, it processes all available data.

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Simona

5 months ago

I think option B is the right choice!

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Lai

6 months ago

Wait, what does "trigger(continuous='once')" even mean? Sounds weird!

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Hillary

6 months ago

Not so sure about B, what about option D?

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Colene

6 months ago

I recall that "trigger(continuous='once')" is more about continuous processing, so I don't think that's it.

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Chanel

6 months ago

I feel like "trigger(processingTime='once')" could be the right choice since it processes everything in one go, but I need to double-check.

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Carlene

7 months ago

I think "trigger(availableNow=True)" sounds familiar, but I might be mixing it up with another question we practiced.

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Nicolette

7 months ago

I remember that for processing all available data, the trigger option is key, but I'm not sure which one fits best.

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Rosenda

7 months ago

The wording of the question is a bit tricky, but I think option D, "trigger(processingTime='once')", is the correct answer. That should process all the available data in a single batch.

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Nichelle

7 months ago

I think the key here is that the data engineer wants to process all the data, not just the latest batch. Based on that, I'm leaning towards option B, "trigger(availableNow=True)".

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Willow

7 months ago

Okay, let's think this through step-by-step. The data engineer wants to process all the available data in as many batches as required, so I'm guessing the answer has to do with the trigger option.

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Maryln

8 months ago

Hmm, I'm a bit confused by the different trigger options. I'll need to review the Structured Streaming documentation to make sure I understand the differences between them.

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Vicente

8 months ago

This looks like a pretty straightforward Structured Streaming question. I'm confident I can figure this out.

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Frederica

1 year ago

Hmm, this question is like a riddle wrapped in an enigma, wrapped in a batch of data. I'm going to go with my gut and choose D) trigger(processingTime=once). It just feels right, you know?

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Micaela

1 year ago

User 2: Yeah, that option does seem like the best fit for processing all available data.

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Vilma

1 year ago

User 1: I think D) trigger(processingTime=once) is the right choice.

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Lakeesha

1 year ago

I'm just going to flip a coin. Heads, I choose A) processingTime(1), and tails, I choose C) trigger(parallelBatch=True). Whichever option wins, I'm sure it'll be the right one. *wink wink*

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Cassandra

12 months ago

Just make sure to keep an eye on the processing time to ensure everything runs smoothly.

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Lauran

1 year ago

I'm sure it will work perfectly for your Structured Streaming job.

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Alyssa

1 year ago

Nice! That option will process all the available data in as many batches as required.

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Tennie

1 year ago

Heads! Looks like you're going with A) processingTime(1). Good choice!

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Brianne

1 year ago

I think both D and E could work, but I would go with D as well. It seems more straightforward for processing all available data.

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Leslee

1 year ago

Hmm, that's an interesting point. I can see why you would choose that option.

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Keith

1 year ago

This is a tricky one. I'm going to go with E) trigger(continuous=once). It sounds like it would process the data continuously until there's no more left.

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Paola

1 year ago

I'm not sure about this one. The question is a bit confusing, but I'm leaning towards B) trigger(availableNow=True). It seems like it would process all the available data at once.

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Lavonda

1 year ago

Yes, B) trigger(availableNow=True) seems like the right choice for processing all available data in one shot.

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Adrianna

1 year ago

I agree, B) trigger(availableNow=True) makes sense for processing all available data in one go.

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Kimi

1 year ago

I think B) trigger(availableNow=True) is the correct option. It should process all available data at once.

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Tawna

1 year ago

I think the answer should be D) trigger(processingTime=once). It's the only option that mentions processing all available data in a single batch.

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Justine

1 year ago

Yes, D) trigger(processingTime=once) is the best option for processing all available data in a single batch.

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Nan

1 year ago

I agree, D) trigger(processingTime=once) seems like the correct choice for processing all available data in a single batch.

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Dean

1 year ago

I think the answer should be D) trigger(processingTime=once). It's the only option that mentions processing all available data in a single batch.

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Benedict

1 year ago

I disagree, I believe the answer is E) trigger(continuous=`once`). This option seems more suitable for processing all available data.

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Leslee

1 year ago

I think the answer is D) trigger(processingTime=`once`). It makes sense to process all available data in one batch.

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