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Databricks-Certified-Professional-Data-Scientist Questions and Answers

Question # 1

You are studying the behavior of a population, and you are provided with multidimensional data at the individual level. You have identified four specific individuals who are valuable to your study, and would like to find all users who are most similar to each individual. Which algorithm is the most appropriate for this study?

A.

Association rules

B.

Decision trees

C.

Linear regression

D.

K-means clustering

Question # 2

A bio-scientist is working on the analysis of the cancer cells. To identify whether the cell is cancerous or not, there has been hundreds of tests are done with small variations to say yes to the problem. Given the test result for a sample of healthy and cancerous cells, which of the following technique you will use to determine whether a cell is healthy?

A.

Linear regression

B.

Collaborative filtering

C.

Naive Bayes

D.

Identification Test

Question # 3

Select the correct problems which can be solved using SVMs

A.

SVMs are helpful in text and hypertext categorization

B.

Classification of images can also be performed using SVMs

C.

SVMs are also useful in medical science to classify proteins with up to 90% of the compounds classified correctly

D.

Hand-written characters can be recognized using SVM

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The Databricks Databricks-Certified-Professional-Data-Scientist exam validates your proficiency in using Databricks' unified analytics platform for big data processing and machine learning. It's designed for data scientists and engineers who want to demonstrate their skills in managing and analyzing large datasets.

What is the format of the Databricks-Certified-Professional-Data-Scientist exam?

The Databricks-Certified-Professional-Data-Scientist exam consists of multiple-choice questions that test your theoretical knowledge and practical understanding of data science concepts. It does not include programming tasks.

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The exam delves into core data science concepts and their application on Databricks. Key areas include:

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The Databricks-Certified-Professional-Data-Scientist Exam focuses on data science and machine learning, while the Databricks-Certified-Professional-Data-Engineer Exam focuses on data engineering and big data processing. Both certifications validate different skill sets within the Databricks ecosystem.

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