Databricks-Certified-Professional-Data-Scientist 무료 덤프문제 온라인 액세스

Suppose you have made a model for the rating system, which rates between 1 to 5 stars. And you calculated that RMSE value is 1.0 then which of the following is correct

• A.It means that your predictions are on average four star off of what people really think
• B.It means that your predictions are on average two star off of what people really think
• C.It means that your predictions are on average one star off of what people really think
• D.It means that your predictions are on average three star off of what people really think

What is one modeling or descriptive statistical function in MADlib that is typically not provided in a standard relational database?

• A.Variance
• B.Expected value
• C.Quantiles
• D.Linear regression

Suppose that the probability that a pedestrian will be tul by a car while crossing the toad at a pedestrian crossing without paying attention to the traffic light is lo be computed. Let H be a discrete random variable taking one value from (Hit. Not Hit). Let L be a discrete random variable taking one value from (Red. Yellow.
Green).
Realistically, H will be dependent on L That is, P(H = Hit) and P(H = Not Hit) will take different values depending on whether L is red, yellow or green. A person is. for example, far more likely to be hit by a car when trying to cross while Hie lights for cross traffic are green than if they are red In other words, for any given possible pair of values for Hand L. one must consider the joint probability distribution of H and L to find the probability* of that pair of events occurring together if Hie pedestrian ignores the state of the light Here is a table showing the conditional probabilities of being bit. defending on ibe stale of the lights (Note that the columns in this table must add up to 1 because the probability of being hit oi not hit is 1 regardless of the stale of the light.)

• A.marginal probability that P(H=Not Hit) is the sum of the H= Hit row
• B.The marginal probability P(H=Hit) is the sum along the H=Hit row of this joint distribution table, as this is the probability of being hit when the lights are red OR yellow OR green.
• C.marginal probability that P(H=Not Hit) is the sum of the H=Not Hit row

Which of the following could be features?

• A.Symptoms of a diseases
• B.All 1,2 and 3 are possible
• C.Characteristics of an unidentified object
• D.Words in the document
• E.0nly 1 and 2

You have modeled the datasets with 5 independent variables called A,B,C,D and E having relationships which is not dependent each other, and also the variable A,B and C are continuous and variable D and E are discrete (mixed mode).
Now you have to compute the expected value of the variable let say A, then which of the following computation you will prefer

• A.Generalization
• B.Integration
• C.Transformation
• D.Differentiation