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Databricks Exam Databricks Certified Professional Data Scientist Topic 5 Question 81 Discussion

Actual exam question for Databricks's Databricks Certified Professional Data Scientist exam
Question #: 81
Topic #: 5
[All Databricks Certified Professional Data Scientist Questions]

Which activity is performed in the Operationalize phase of the Data Analytics Lifecycle?

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Suggested Answer: A

Contribute your Thoughts:

Twana
2 days ago
I feel like the Operationalize phase is more about deploying the model rather than just defining processes. Maybe it's option D?
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Mari
8 days ago
I remember practicing a question like this, and I think it was about maintaining the model. So, I would lean towards option A.
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Casie
13 days ago
I think the Operationalize phase is about implementing the model, but I'm not sure if it's defining the process to maintain it or something else.
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King
19 days ago
I'm not totally confident, but based on the description, it seems like the Operationalize phase is more about deployment and scaling the model, rather than the earlier exploratory phases. So I'm leaning towards A as the best answer.
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Darci
24 days ago
The Operationalize phase is where you take the model you developed and put it into production, right? So I think the answer has to be A, defining the process to maintain the model.
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Mira
30 days ago
Hmm, I'm a bit confused on the differences between the phases. I'll need to review my notes on the Data Analytics Lifecycle to make sure I understand what happens in each step.
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Myra
1 month ago
I'm pretty sure the Operationalize phase is about deploying the model and setting up processes to maintain it, so I think the answer is A.
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Claudia
7 months ago
I'm going to go with C) Try different variables. Gotta mix it up to find the perfect combination, you know?
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Deeanna
5 months ago
User 4: Yeah, mixing it up with C) Try different variables can lead to some interesting insights.
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Joseph
5 months ago
User 3: I agree, but D) Transform existing variables is crucial for optimizing the model.
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Jordan
5 months ago
User 2: True, but I prefer B) Try different analytical techniques to really explore all options.
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Vesta
6 months ago
User 1: I think A) Define the process to maintain the model is important too.
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Dahlia
6 months ago
User 2: I agree, but I still think trying different variables with C) is crucial for finding the best solution.
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Cordie
6 months ago
User 1: I think A) Define the process to maintain the model is more important in the Operationalize phase.
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Nickolas
7 months ago
Haha, this is like a choose-your-own-adventure book, except with analytics instead of dragons!
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Noah
7 months ago
I agree with Valentin, transforming existing variables is important for operationalizing the model.
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Valentin
7 months ago
I believe it could also be D) Transform existing variables, as that is crucial for deploying the work in a controlled way.
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Julianna
7 months ago
Definitely D) Transform existing variables. That's the key to getting the model to work properly in the real world.
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Lashandra
7 months ago
I think the activity performed in the Operationalize phase is A) Define the process to maintain the model.
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Cherelle
7 months ago
I think B) Try different analytical techniques is the right answer. You'd want to experiment with different methods to see what works best.
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Lashon
7 months ago
The correct answer is A) Define the process to maintain the model. In the Operationalize phase, you have to set up a plan to keep the model up-to-date and running smoothly.
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Nakita
7 months ago
C) Try different variables
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Odelia
7 months ago
B) Try different analytical techniques
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Vivan
7 months ago
A) Define the process to maintain the model
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