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Databricks Exam Databricks-Certified-Professional-Data-Scientist Topic 4 Question 62 Discussion

Actual exam question for Databricks's Databricks-Certified-Professional-Data-Scientist exam
Question #: 62
Topic #: 4
[All Databricks-Certified-Professional-Data-Scientist Questions]

In which phase of the data analytics lifecycle do Data Scientists spend the most time in a project?

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Suggested Answer: B

by Alonzo at Jun 22, 2024, 02:14 AM

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Brunilda
4 months ago
Definitely B) Data Preparation. It's like the boring part of a magic trick, but without it, the whole thing falls apart. Gotta love those data wranglers!
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Velda
2 months ago
Communicating results is key too, you need to make sure stakeholders understand the findings.
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Aide
2 months ago
True, but without clean data from the preparation phase, the model won't be accurate.
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Shad
2 months ago
I think model building is also important, you need a solid foundation.
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Leontine
2 months ago
I agree, data preparation is crucial for a successful project.
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Delpha
4 months ago
I'm gonna go with C) Model Building. It's where we get to put on our science hats and get all analytical. Plus, who doesn't love a good algorithm battle?
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Paris
4 months ago
I'd say B) Data Preparation. It's like cleaning up a room before you can really start decorating. Gotta get those data ducks in a row!
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Hester
2 months ago
Once that's done, the rest of the project flows much smoother.
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Adolph
2 months ago
Yeah, it's all about getting the data clean and ready for analysis.
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Natalie
2 months ago
I agree, data preparation is definitely the most time-consuming part.
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Tamesha
3 months ago
Once the data is cleaned and organized, the rest of the project flows much smoother.
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Lili
3 months ago
Yeah, it can be a tedious process but it's necessary to ensure accurate results.
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Tonette
3 months ago
I agree, data preparation is definitely crucial for a successful project.
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Galen
4 months ago
I think Communicate Results is the phase where Data Scientists spend the most time.
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Josphine
4 months ago
I believe Model Building is where Data Scientists spend the most time.
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Shelia
4 months ago
I agree with Svetlana, Data Preparation is crucial for a successful project.
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Rasheeda
4 months ago
Haha, D) Communicate Results, of course! What's the point of all that hard work if you can't present it in a way that makes people go 'Wow, that's amazing!'?
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Svetlana
4 months ago
I think Data Scientists spend the most time in Data Preparation.
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German
4 months ago
Definitely C) Model Building. That's where the real magic happens, isn't it? I could spend hours tweaking those algorithms!
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Tanja
4 months ago
I think Data Preparation takes up the most time, getting the data ready for analysis can be quite time-consuming.
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Novella
4 months ago
Yes, I agree! Model building is where the real fun begins.
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Tamar
5 months ago
I'm pretty sure it's B) Data Preparation. We all know the saying, 'Garbage in, garbage out,' so that phase is crucial.
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Ruby
4 months ago
Communicating results is important too, making sure the findings are clear and actionable.
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Stephane
4 months ago
I think model building can also take up a lot of time, trying out different algorithms and tweaking parameters.
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Kerry
4 months ago
I agree, data preparation is definitely a time-consuming phase.
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Sherita
4 months ago
Yes, it's important to clean and organize the data properly before moving on to model building.
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Lashandra
4 months ago
I think you're right, data preparation is definitely a time-consuming phase.
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