Google Exam Cloud Digital Leader Topic 1 Question 58 Discussion

Actual exam question for Google's Cloud Digital Leader exam

Question #: 58
Topic #: 1

An organization wants to use all available data to offer predictive suggestions on their website that improve over time.

Which method should the organization use?

AData automation

BTrends analysis

CMachine learning

DMultiple regression

Show Suggested Answer

Suggested Answer: A

by Taryn at Jul 18, 2024, 01:08 PM

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Galen

1 months ago

Machine learning all the way, baby! That's the future right there. Plus, it's way more exciting than just crunching numbers. I bet this exam question is just a ploy to see who's the most tech-savvy.

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Dorothy

2 months ago

Trends analysis could be a good starting point, but it's not going to give you the predictive power you need. Might as well just look at a crystal ball and call it a day.

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Leatha

4 days ago

Machine learning is definitely the way to go for improving predictive suggestions over time.

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Cruz

14 days ago

C: Data automation could also be helpful in processing the data efficiently for predictive suggestions.

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Malinda

16 days ago

B: I agree, machine learning can analyze large amounts of data and improve over time.

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Mi

16 days ago

I agree, machine learning can provide more accurate predictive suggestions.

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Maryann

26 days ago

Trends analysis is a good start, but machine learning would be more powerful.

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Mireya

1 months ago

A: Machine learning would be the best method for offering predictive suggestions.

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Bette

2 months ago

Data automation sounds like it might be too basic for this kind of task. I mean, who wants to make predictions with just automated data? Might as well give the Magic 8 Ball a try.

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Della

2 months ago

I believe data automation could also be a good method to use for offering predictive suggestions.

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Luther

2 months ago

I agree with Cecily, machine learning can help improve predictive suggestions over time.

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Hoa

2 months ago

Multiple regression could work too, but it's a bit more manual and doesn't have the same level of self-improvement as machine learning. Still, it's a solid option.

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