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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?

ASchedule a data pipeline that calls other data pipelines.

BSchedule a notebook.

CSchedule an Apache Spark job.

DSchedule multiple data pipelines.

Show Suggested 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

9 months ago

Not sure if Apache Spark is the best choice here, honestly.

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Aleta

9 months ago

Multiple data pipelines could work too, but A seems more efficient.

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Marnie

10 months ago

Wait, can you really schedule a notebook? Sounds odd.

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Benton

10 months ago

Definitely agree, option A makes the most sense!

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Norah

10 months ago

I think scheduling a data pipeline is the way to go.

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Tran

10 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

11 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

11 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

11 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

11 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

11 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

11 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

11 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

11 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

2 years 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

2 years ago

I agree, I would go with scheduling an Apache Spark job.

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Moira

2 years ago

I think scheduling a notebook might not be enough for this task.

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Gerald

2 years ago

But wouldn't scheduling multiple data pipelines provide more flexibility and scalability?

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Stephania

2 years ago

I disagree, I believe scheduling an Apache Spark job would be more efficient.

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Davida

2 years 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

2 years ago

I agree, scheduling multiple data pipelines is the most efficient way to meet the technical requirements.

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Vivan

2 years ago

Option D is definitely the best choice. It covers all bases.

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Gerald

2 years ago

I think we should schedule a data pipeline that calls other data pipelines.

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