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If you are given an offer from Splunk, which team would be your "dream team" that you'd want to be a part of?

Let's say you need to join two tables where one contains duplicate values. How would you approach this task?

What do you think would be the biggest challenge you'd face in the Splunk Data Scientist role?

What steps do you take in order to forecast a brand's sales accurately?

What strategies did you use to eliminate multicollinearity and what VIF cut-off did you set?

How do you stand out from the crowd?

Describe the process of calculating Pi using the Monte Carlo technique.

Can you outline the algorithmic time complexity for training a support vector machine? What would you estimate the time complexity to be for an SVM during the inference stage? How do Linear and RBF kernels influence the computational time complexity of SVMs?

Tell me of an instance where you failed at work.

Is there anything you would change about Splunk?