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Databricks-Certified-Professional-Data-Scientist Exam Questions

Exam Name: Databricks Certified Professional Data Scientist Exam
Exam Code: Databricks-Certified-Professional-Data-Scientist
Related Certification(s): Databricks Data Scientist Professional Certification
Certification Provider: Databricks
Number of Databricks-Certified-Professional-Data-Scientist practice questions in our database: 138 (updated: Dec. 14, 2024)
Expected Databricks-Certified-Professional-Data-Scientist Exam Topics, as suggested by Databricks :
  • Topic 1: A intermediate understanding of the steps in the machine learning lifecycle/ Model training, selection, and production A complete understanding of the basics of machine learning/ in-sample vs. out-of sample data
  • Topic 2: Applied statistics concepts/ bias-variance tradeoff
  • Topic 3: A complete understanding of basic machine learning algorithms and techniques/ Unsupervised techniniques like K-means and PCA
  • Topic 4: A complete understanding of the basics of machine learning model management/ Linear, logistic, and regularized regression
  • Topic 5: Tree-based models like decision trees, random forest and gradient boosted trees/ Categories of machine learning
  • Topic 6: Specific algorithms like ALS for recommendation and isolation forests for outlier detection/ Logging and model organization with MLflow
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Corinne

8 days ago
Grateful for Pass4Success - their exam prep helped me ace the Databricks test!
upvoted 0 times
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Asuncion

9 days ago
I passed the Databricks Certified Professional Data Scientist Exam, and the Pass4Success practice questions were a big help. One tricky question was about machine learning model management, asking about the best practices for model deployment. I had some doubts but managed to pass.
upvoted 0 times
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Chandra

25 days ago
Happy to report that I passed the Databricks Certified Professional Data Scientist Exam! The Pass4Success practice questions were very useful. One question that caught me off guard was about basic machine learning algorithms and techniques, specifically the use of decision trees. I wasn't confident but still passed.
upvoted 0 times
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Marvel

1 months ago
Databricks certification achieved! Pass4Success made studying a breeze.
upvoted 0 times
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Simona

1 months ago
I successfully passed the Databricks Certified Professional Data Scientist Exam, and the Pass4Success practice questions were instrumental. There was a question on the machine learning lifecycle, asking about the importance of feature engineering. I was unsure but still managed to pass.
upvoted 0 times
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Christiane

2 months ago
Excited to announce that I passed the Databricks Certified Professional Data Scientist Exam! Thanks to Pass4Success practice questions, I felt prepared. One question that puzzled me was about the basics of machine learning, particularly the difference between overfitting and underfitting. Despite my confusion, I passed.
upvoted 0 times
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Kenneth

2 months ago
I am thrilled to share that I passed the Databricks Certified Professional Data Scientist Exam. The Pass4Success practice questions were a great resource. One challenging question was about the basics of machine learning model management, specifically focusing on version control for models. I had some doubts but managed to pass.
upvoted 0 times
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Paulina

3 months ago
Nailed it! Pass4Success's practice questions were spot-on for the Databricks exam.
upvoted 0 times
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Kent

3 months ago
Ensemble methods are crucial in machine learning. Understand how different ensemble techniques work and their pros and cons.
upvoted 0 times
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Mirta

3 months ago
Just passed the Databricks Certified Professional Data Scientist Exam! The Pass4Success practice questions were a lifesaver. There was a tricky question on basic machine learning algorithms and techniques, asking to differentiate between supervised and unsupervised learning with examples. I wasn't entirely sure of my answer but still made it through.
upvoted 0 times
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Bernadine

3 months ago
Pass4Success really helped me grasp the concept of ensemble methods. The exam had questions on bagging and boosting techniques.
upvoted 0 times
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Sherita

3 months ago
I recently passed the Databricks Certified Professional Data Scientist Exam, and I must say, the Pass4Success practice questions were incredibly helpful. One question that stumped me was about the steps involved in the machine learning lifecycle. Specifically, it asked about the sequence of data preprocessing, model training, and model evaluation. Despite my uncertainty, I managed to pass the exam.
upvoted 0 times
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Reena

4 months ago
Passed the Databricks Certified Professional Data Scientist exam! Thanks Pass4Success for the great prep materials.
upvoted 0 times
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Leandro

6 months ago
Just passed the Databricks Certified Professional Data Scientist exam! Expect questions on feature engineering techniques, especially focusing on handling categorical variables. Study different encoding methods and their impact on model performance. Thanks to Pass4Success for the spot-on practice questions that helped me prepare efficiently!
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Free Databricks Databricks-Certified-Professional-Data-Scientist Exam Actual Questions

Note: Premium Questions for Databricks-Certified-Professional-Data-Scientist were last updated On Dec. 14, 2024 (see below)

Question #1

You are working in a data analytics company as a data scientist, you have been given a set of various types of Pizzas available across various premium food centers in a country. This data is given as numeric values like Calorie. Size, and Sale per day etc. You need to group all the pizzas with the similar properties, which of the following technique you would be using for that?

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Correct Answer: C

Question #2

You are having 1000 patients' data with the height and age. Where age in years and height in meters. You wanted to create cluster using this two attributes. You wanted to have near equal effect for both the age and height while creating the cluster. What you can do?

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Correct Answer: B, C

Question #3

Refer to the exhibit.

You are building a decision tree. In this exhibit, four variables are listed with their respective values of info-gain.

Based on this information, on which attribute would you expect the next split to be in the decision tree?

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Correct Answer: A

Question #4

What is the best way to evaluate the quality of the model found by an unsupervised algorithm like k-means clustering, given metrics for the cost of the clustering (how well it fits the data) and its stability (how similar the clusters are across multiple runs over the same data)?

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Correct Answer: A

Question #5

In which lifecycle stage are appropriate analytical techniques determined?

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Correct Answer: A

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