Databricks Exam Databricks-Certified-Professional-Data-Scientist Topic 6 Question 72 Discussion

Actual exam question for Databricks's Databricks Certified Professional Data Scientist Exam exam

Question #: 72
Topic #: 6

[All Databricks Certified Professional Data Scientist Exam Questions]

In which lifecycle stage are appropriate analytical techniques determined?

AModel planning

BModel building

CData preparation

DDiscovery
In Phase 3, the data science team identifies candidate models to apply to the data for clustering, classifying, or finding relationships in the data depending on the goal of the project, It is during this phase that the team refers to the hypotheses developed in Phase 1, when they first became acquainted with the data and understanding the business problems or domain area. These hypotheses help the team frame the analytics to execute in Phase 4 and select the right methods to achieve its objectives.
Some of the activities to consider in this phase include the following: Assess the structure of the datasets. The structure of the datasets is one factor that dictates the tools and analytical techniques for the next phase. Depending on whether the team plans to analyze textual data or transactional data, for example, different tools and approaches are required.
Ensure that the analytical techniques enable the team to meet the business objectives and accept or reject the working hypotheses. Determine if the situation warrants a single model or a series of techniques as part of a larger analytic workflow. A few example models include association rules and logistic regression Other tools, such as Alpine Miner, enable users to set up a series of steps and analyses and can serve as a front-end user interface (Ul) for manipulating Big Data sources in PostgreSQL.

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Suggested Answer: A

by Lorean at Sep 18, 2024, 05:03 AM

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Rochell

4 days ago

I believe Data preparation is also crucial in determining the appropriate analytical techniques.

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France

5 days ago

Wait, is this a trick question? I mean, shouldn't we be determining the analytical techniques throughout the entire lifecycle, not just in one specific phase?

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Brandee

5 days ago

I agree with Zena, it's important to select the right methods to achieve the objectives.

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Teresita

12 days ago

Ha, this is a tricky one! It's like trying to choose the perfect tool for the job without even knowing what the job is. I'd say the discovery phase is key here.

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Blossom

13 days ago

Hmm, I'm not sure I agree. I think the model planning phase is where you really decide on the right analytical techniques based on your hypotheses and business objectives.

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Wayne

18 days ago

I agree, the data preparation phase is crucial. It's like building a house - you need to have a solid foundation before you can start constructing the rest of the structure.

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Hassie

19 days ago

The data preparation phase is key in determining the appropriate analytical techniques. You can't just jump straight to the modeling without first understanding the data structure and addressing any quality or consistency issues.

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