DS-200 Real Exam Questions

What do you need to do when adding new slave nodes to a cluster?

Consider the following sample from a distribution that contains a continuous X and label Y that is either A or B: Which is the best cut point for X if you want to discretize these values into two buckets in a way that minimizes the sum of chi-square values?

You've built a model that has ten different variables with complicated independence relationships between them, and both continuous and discrete variables that have complicated, multi- parameter distributions. Computing the joint probability distribution is complex, but it turns out that computing the conditional probabilities for the variables is easy. What is the most computationally efficient for computing the expected value?

Assuming the trends shown in this chart continue, what would we expect the value of the revenue to be in Q1 of 2013?

You have a large file of N records (one per line), and want to randomly sample 10% them. You have two functions that are perfect random number generators (through they are a bit slow): Random_uniform () generates a uniformly distributed number in the interval [0, 1] random_permotation (M) generates a random permutation of the number O through M -1. Below are three different functions that implement the sampling. Method A For line in file: If random_uniform () < 0.1; Print line Method B i = 0 for line in file: if i % 10 = = 0; print line i += 1 Method C idxs = random_permotation (N) [: (N/10)] i = 0 for line in file: if i in idxs: print line i +=1 Which method might introduce unexpected correlations?