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Databricks Certified Professional Data Scientist Exam - Topic 2 Question 58 Discussion

Actual exam question for Databricks's Databricks Certified Professional Data Scientist exam
Question #: 58
Topic #: 2
[All Databricks Certified Professional Data Scientist Questions]

What is one modeling or descriptive statistical function in MADlib that is typically not provided in a standard relational database?

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Suggested Answer: A

by Marya at Apr 30, 2024, 12:01 PM

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Gail
3 months ago
Totally agree, linear regression is super useful!
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Martina
3 months ago
Wait, are you saying variance isn't in relational databases?
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Elfrieda
3 months ago
Expected value is standard in many databases, right?
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Mona
4 months ago
I think quantiles are pretty unique too.
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Noel
4 months ago
Linear regression is a big one in MADlib!
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Angelyn
4 months ago
I recall variance being a common statistical function, so it probably isn't the answer. I think quantiles could be the right choice here.
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Felicitas
4 months ago
I’m leaning towards linear regression because it’s a modeling function, but I’m not entirely confident if it’s the only one not found in standard databases.
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Nada
4 months ago
I practiced a question similar to this, and I feel like quantiles might be the answer since they deal with distribution, which isn't always in basic databases.
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Rikki
5 months ago
I think I remember that MADlib has some advanced functions that standard databases don't, but I'm not sure if it's linear regression or quantiles.
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Jeanice
5 months ago
Linear regression, that's the one! I remember learning about how MADlib can handle complex statistical modeling that regular databases can't. Confident in this answer.
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Hillary
5 months ago
Ah, I think I've got it! MADlib likely includes more advanced modeling functions like linear regression that aren't typically found in a standard SQL database. I'll go with that.
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Dannie
5 months ago
I'm a bit confused on this one. I'll need to review my notes on MADlib's capabilities compared to a standard database. Hopefully, I can narrow it down.
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Samuel
5 months ago
Okay, let's see. I know MADlib provides advanced statistical functions, so I'm guessing the answer has to do with something more complex than basic descriptive stats.
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Lavera
5 months ago
Hmm, this seems like a tricky one. I'll need to think carefully about the differences between MADlib and a standard relational database.
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Tiffiny
5 months ago
Okay, let me think this through step-by-step. The 'Customer Account Credits' loop is configured to loop through the 'Customer Credits' collection, and the 'Get Total Credits' calculation stage has an expression that adds up the 'Credit Amount' values. I think the answer is C, 31.
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Barrett
5 months ago
I'm leaning towards the budget being the most important factor. Without the right funding, you can't move forward with any project.
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Alyce
5 months ago
I remember studying that the instance and the scaling group need to be in the same region, but I'm not completely sure if they have to be in the same zone too.
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Cassi
5 months ago
This is a tricky one. I'll need to think carefully about the factors that would drive an adaptive approach.
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Darrin
10 months ago
I'm going with C. Linear regression. That's just too useful a tool to not be included in MADlib.
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Minna
10 months ago
Hmm, I'm torn between B. Variance and C. Linear regression. Both are pretty advanced statistical functions that you don't usually see in a basic database.
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Reid
9 months ago
Variance is important too, but if you're looking for a more advanced statistical function, linear regression is the way to go.
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Nida
9 months ago
I agree, linear regression is a great choice. It can provide valuable insights into your data.
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Viola
9 months ago
I think you should go with C. Linear regression. It's a powerful tool for modeling relationships between variables.
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Jamal
10 months ago
I'm not sure, but I think D) Quantiles could also be a function not commonly found in a standard database.
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Hillary
10 months ago
I agree with Ronny, linear regression is not typically provided in a standard relational database.
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Eun
10 months ago
D. Quantiles seems like a good choice too. Being able to calculate quantiles can be really useful for data analysis.
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Gregg
10 months ago
Linear regression models a linear relationship of a scalar dependent variable y to one or more explanatory independent variables x to build a model of coefficients.
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Kimberely
10 months ago
D. Quantiles seems like a good choice too.
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Ronny
10 months ago
I think the answer is C) Linear regression.
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Alberto
10 months ago
I'm not sure, but I think D) Quantiles could also be a function not commonly found in a standard database.
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Jeanice
11 months ago
I think the answer is C. Linear regression, since that's a powerful modeling technique that's not commonly found in standard databases.
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Karina
9 months ago
Expected value is crucial for making predictions based on data.
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Tomas
9 months ago
Quantiles can be useful for understanding the distribution of data.
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Reita
10 months ago
I think variance is also important for understanding the spread of data.
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Lashon
10 months ago
I agree, linear regression is a powerful tool for modeling relationships.
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Chantell
11 months ago
I agree with Odette, linear regression is not typically provided in a standard relational database.
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Odette
11 months ago
I think the answer is C) Linear regression.
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