Most Recent Databricks-Certified-Professional-Data-Scientist Exam Dumps

Prepare for the Databricks Certified Professional Data Scientist Exam exam with our extensive collection of questions and answers. These practice Q&A are updated according to the latest syllabus, providing you with the tools needed to review and test your knowledge.

QA4Exam focus on the latest syllabus and exam objectives, our practice Q&A are designed to help you identify key topics and solidify your understanding. By focusing on the core curriculum, These Questions & Answers helps you cover all the essential topics, ensuring you're well-prepared for every section of the exam. Each question comes with a detailed explanation, offering valuable insights and helping you to learn from your mistakes. Whether you're looking to assess your progress or dive deeper into complex topics, our updated Q&A will provide the support you need to confidently approach the Databricks-Certified-Professional-Data-Scientist exam and achieve success.

The questions for Databricks-Certified-Professional-Data-Scientist were last updated on Sep 1, 2026.

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Question No. 1

You are creating a Classification process where input is the income, education and current debt of a customer, what could be the possible output of this process.

AProbability of the customer default on loan repayment

BPercentage of the customer loan repayment capability

CPercentage of the customer should be given loan or not

DThe output might be a risk class, such as 'good', 'acceptable', 'average', or 'unacceptable'.
Classification is the process of using several inputs to produce one or more outputs. For example the input might be the income, education and current debt of a customer The output might be a risk class, such as 'good', 'acceptable', 'average', or 'unacceptable'. Contrast this to regression where the output is a number not a class.

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Correct Answer: D

Question No. 2

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

ADefine the process to maintain the model

BTry different analytical techniques

CTry different variables

DTransform existing variables
Operationalize In the final phase, the team communicates the benefits of the project more broadly and sets up a pilot project to deploy the work in a controlled way before broadening the work to a full enterprise or ecosystem of users. In Phase 4. the team scored the model in the analytics sandbox.

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Correct Answer: A

Question No. 3

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?

ALinear regression

BCollaborative filtering

CNaive Bayes

DIdentification Test
In this problem you have been given high-dimensional independent variables like yes, no: test results etc. and you have to predict either valid or not valid (One of two). So all of the below technique can be applied to this problem.
Support vector machines Naive Bayes Logistic regression Random decision forests

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Correct Answer: C

Question No. 4

Select the correct problems which can be solved using SVMs

ASVMs are helpful in text and hypertext categorization

BClassification of images can also be performed using SVMs

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

DHand-written characters can be recognized using SVM
SVMs can be used to solve various real world problems:
* SVMs are helpful in text and hypertext categorization as their application can significantly reduce the need for labeled training instances in both the standard inductive and transductive settings.
* Classification of images can also be performed using SVMs. Experimental results show that SVMs achieve significantly higher search accuracy than traditional query refinement schemes after just three to four rounds of relevance feedback.
* SVMs are also useful in medical science to classify proteins with up to 90% of the compounds classified correctly.
* Hand-written characters can be recognized using SVM

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Correct Answer: A, B, C, D

Question No. 5

You are working on a problem where you have to predict whether the claim is done valid or not. And you find that most of the claims which are having spelling errors as well as corrections in the manually filled claim forms compare to the honest claims. Which of the following technique is suitable to find out whether the claim is valid or not?

ANaive Bayes

BLogistic Regression

CRandom Decision Forests

DAny one of the above
In this problem you have been given high-dimensional independent variables like texts, corrections, test results etc. and you have to predict either valid or not valid (One of two). So all of the below technique can be applied to this problem.
Support vector machines Naive Bayes Logistic regression Random decision forests

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Correct Answer: D

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