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Microsoft DP-700 Exam - Topic 3 Question 8 Discussion

Actual exam question for Microsoft's DP-700 exam
Question #: 8
Topic #: 3
[All DP-700 Questions]

You need to schedule the population of the medallion layers to meet the technical requirements.

What should you do?

Show Suggested Answer Hide Answer
Suggested Answer: A

The technical requirements specify that:

Why Use a Data Pipeline That Calls Other Data Pipelines?

- Sequential execution of child pipelines.

- Error handling to send email notifications upon failures.

- Parallel execution of tasks where possible (e.g., simultaneous imports into the bronze layer).


by Halina at Feb 11, 2025, 07:52 AM

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Francesco
5 months ago
Not sure if Apache Spark is the best choice here, honestly.
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Aleta
5 months ago
Multiple data pipelines could work too, but A seems more efficient.
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Marnie
5 months ago
Wait, can you really schedule a notebook? Sounds odd.
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Benton
5 months ago
Definitely agree, option A makes the most sense!
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Norah
6 months ago
I think scheduling a data pipeline is the way to go.
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Tran
6 months ago
I vaguely remember something about notebooks being useful for scheduling, but I don't think that's the best fit for this scenario.
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Willetta
6 months ago
I’m leaning towards option D, scheduling multiple data pipelines, since it seems like a more comprehensive solution, but I can't recall the exact details.
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Leatha
6 months ago
I remember practicing a question about scheduling jobs, and I feel like scheduling an Apache Spark job could be relevant here, but I need to double-check the requirements.
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Phuong
6 months ago
I think scheduling a data pipeline that calls other pipelines might be the right approach, but I'm not entirely sure if that's the most efficient way.
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Yolande
6 months ago
I've got this! Scheduling an Apache Spark job seems like the most straightforward solution. That should give me the flexibility and power I need to handle the technical requirements.
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Terrilyn
6 months ago
Based on my understanding of the question, I think scheduling multiple data pipelines would be the way to go. That way, I can break down the process into smaller, more manageable tasks and ensure everything is running smoothly.
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Leota
6 months ago
I'm a bit confused by the wording of the question. Does "schedule the population of the medallion layers" mean I need to set up some kind of scheduling system? I'm not sure which option would be the best approach.
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Rebeca
6 months ago
Okay, let's see. Scheduling a data pipeline that calls other data pipelines sounds like a good option to me. That way, I can manage the overall process and ensure the technical requirements are met.
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Delmy
7 months ago
Hmm, this seems like a tricky one. I'll need to think through the technical requirements carefully to determine the best approach.
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Amie
1 year ago
You know, I was just thinking about how great it would be if we could schedule a data pipeline that could also perform stand-up comedy. That would really liven up the technical requirements.
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Justa
1 year ago
C) Schedule an Apache Spark job.
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Lamar
1 year ago
B) That would definitely make things more interesting!
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Delisa
1 year ago
A) Schedule a data pipeline that calls other data pipelines.
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Stephanie
1 year ago
Hold up, guys. What if we combine options A and D? Scheduling a data pipeline that calls other data pipelines could be the perfect way to orchestrate the whole process.
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Andrew
1 year ago
Let's go ahead and combine options A and D for a more efficient scheduling solution.
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Shelia
1 year ago
It sounds like a good plan. We can have a centralized control over the entire process.
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Glory
1 year ago
I agree, that way we can ensure all the necessary data is processed in the right order.
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Naomi
1 year ago
That's a great idea! We can have a main data pipeline that triggers other pipelines.
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Armanda
1 year ago
Hmm, I'm not sure about that. Scheduling a notebook seems a bit too simple for this task. I'd go with option C and schedule an Apache Spark job instead.
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Raul
1 year ago
True, but I still think scheduling an Apache Spark job is the best option.
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Laurene
1 year ago
Scheduling multiple data pipelines could also work.
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Clement
1 year ago
I agree, I would go with scheduling an Apache Spark job.
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Moira
1 year ago
I think scheduling a notebook might not be enough for this task.
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Gerald
1 year ago
But wouldn't scheduling multiple data pipelines provide more flexibility and scalability?
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Stephania
1 year ago
I disagree, I believe scheduling an Apache Spark job would be more efficient.
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Davida
1 year ago
I think option D is the way to go. Scheduling multiple data pipelines seems like the most comprehensive solution to meet the technical requirements.
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Janessa
1 year ago
I agree, scheduling multiple data pipelines is the most efficient way to meet the technical requirements.
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Vivan
1 year ago
Option D is definitely the best choice. It covers all bases.
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Gerald
1 year ago
I think we should schedule a data pipeline that calls other data pipelines.
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