Databricks-Certified-Professional-Data-Scientist 試験問題を無料オンラインアクセス

Select the choice where Regression algorithms are not best fit

• A.Weight of the person is given
• B.Employee status
• C.Temperature in the atmosphere
• D.When the dimension of the object given

You are working with the Clustering solution of the customer datasets. There are almost 40 variables are available for each customer and almost 1.00,0000 customer's data is available. You want to reduce the number of variables for clustering, what would you do?

• A.You will find the correlation among the variables and from the highly co-related variables, you will be considering only one or two variables from it.
• B.You will find the correlation among the variables and from their variables are not co-related will be discarded.
• C.You will randomly reduce the number of variables
• D.You can combine several variables in one variable
• E.You cannot discard any variable for creating clusters.

Which of the following is a correct example of the target variable in regression (supervised learning)?

• A.Reptile, fish, mammal, amphibian, plant, fungi
• B.Nominal values like true, false
• C.All of the above
• D.Infinite number of numeric values, such as 0.100, 42.001, 1000.743..

Which of the following skills a data scientists required?

• A.Should possess good programming skills
• B.Should be very good at mathematics and statistic
• C.He should possess database administrative skills.
• D.Web designing to represent best visuals of its results from algorithm.
• E.He should be creative

In unsupervised learning which statements correctly applies

• A.telling the machine Predict Y for our data X
• B.It does not have a target variable
• C.Instead of telling the machine Predict Y for our data X, we're asking What can you tell me about X?