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Microsoft DP-300 Exam - Topic 3 Question 76 Discussion

You have an Azure Data Factory pipeline that is triggered hourly.The pipeline has had 100% success for the past seven days.The pipeline execution fails, and two retries that occur 15 minutes apart also fail. The third failure returns the following error.What is a possible cause of the error?
A) From 06:00 to 07:00 on January 10, 2021, there was no data in wwi/BIKES/CARBON. and B) The parameter used to generate year=2021/month=01/day=10/hour=06 was incorrect.
C) From 06:00 to 07:00 on January 10, 2021, the file format of data in wwi/BIKES/CARBON was incorrect.
D) The pipeline was triggered too early.

Microsoft DP-300 Exam - Topic 3 Question 76 Discussion

Actual exam question for Microsoft's DP-300 exam
Question #: 76
Topic #: 3
[All DP-300 Questions]

You have an Azure Data Factory pipeline that is triggered hourly.

The pipeline has had 100% success for the past seven days.

The pipeline execution fails, and two retries that occur 15 minutes apart also fail. The third failure returns the following error.

What is a possible cause of the error?

Show Suggested Answer Hide Answer
Suggested Answer: A, B

by Pamella at Aug 04, 2023, 02:07 AM

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Tonette
6 months ago
Incorrect file format could definitely be a cause.
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Mitsue
7 months ago
No way it was triggered too early, right?
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Earleen
7 months ago
Surprised it failed after so many successes!
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Paulina
7 months ago
I think option B makes the most sense.
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Kyoko
7 months ago
The pipeline has been successful for a week straight.
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Josue
8 months ago
Option D sounds unlikely to me. I thought the timing of triggers was usually handled well by Azure Data Factory.
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Beckie
8 months ago
I'm a bit confused about the file format issue in option C. I don't recall if that would directly cause a failure like this.
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Candra
8 months ago
I think we had a practice question about parameter issues before, so option B might be a strong candidate if the parameters were set incorrectly.
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Edmond
8 months ago
I remember we discussed how missing data could cause pipeline failures, so option A seems plausible, but I'm not entirely sure.
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Jenelle
8 months ago
Hmm, this is a tough one. I'm not sure if patch management or network monitoring would be more important. I'll have to think this through carefully.
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Royce
8 months ago
Okay, let me see if I can break this down. It sounds like we need to address both Organization A's and Organization B's issues. I think the key is identifying the right cloud design patterns to apply.
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Izetta
1 year ago
This is a classic 'which option is the most Azure-y' kind of question. I'm going with Option C, because if there's one thing I've learned, it's that Azure loves to surprise you with mysterious file format issues.
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Susana
1 year ago
Maybe we should double-check the file format in wwi/BIKES/CARBON.
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Helene
1 year ago
I agree, Azure can be tricky with file format issues.
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Maryann
1 year ago
I think Option C is the most likely cause of the error.
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Jestine
1 year ago
Ah, the joys of Azure Data Factory! Where unexpected errors are as common as finding a unicorn in your backyard. I'd go with Option C, but who knows, maybe the data fairies are playing a trick on us.
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Pamella
11 months ago
I'm leaning towards Option C as well, but it's hard to say for sure.
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Tonette
12 months ago
Yeah, it's always tricky to pinpoint the exact issue with these pipelines.
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Jaime
12 months ago
I think Option A could also be a possible cause of the error.
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Cordelia
12 months ago
I agree, Azure Data Factory can be quite unpredictable sometimes.
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Vinnie
1 year ago
It's worth exploring Option C further to see if the file format of the data is indeed the issue.
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Florinda
1 year ago
I'm leaning towards Option C as well. Let's check the file format of the data in wwi/BIKES/CARBON.
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Stephanie
1 year ago
Maybe the data fairies are indeed up to something, but I think we should investigate Option C first.
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Ozell
1 year ago
I agree, Option C seems like the most likely cause of the error.
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Earleen
1 year ago
I'm not too sure about this one. The parameter being incorrect or the pipeline being triggered too early both seem plausible. Maybe it's time to invest in a crystal ball to predict these kinds of Azure failures.
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Brigette
1 year ago
B) The parameter used to generate year=2021/month=01/day=10/hour=06 was incorrect.
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Benedict
1 year ago
A) From 06:00 to 07:00 on January 10, 2021, there was no data in wwi/BIKES/CARBON.
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Tamesha
1 year ago
It looks like the issue is with the file format in the wwi/BIKES/CARBON folder during that specific hour. Option C seems like the most likely cause of the error.
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Gary
1 year ago
Let's investigate further to confirm if the file format was indeed the issue.
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Salena
1 year ago
Maybe there was a change in the file format during that time causing the pipeline to fail.
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Margo
1 year ago
We should check the file format in the wwi/BIKES/CARBON folder for that specific hour.
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Claribel
1 year ago
I agree, option C seems to be the most likely cause of the error.
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Dick
1 year ago
But what if the parameter used was incorrect as mentioned in option B?
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Erick
1 year ago
I disagree, I believe option C is the cause of the error.
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Dick
1 year ago
I think the possible cause of the error is option A.
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