Databricks-Certified-Professional-Data-Scientist試験無料問題集（140題）「Databricks Certified Professional Data Scientist 認定」

出題：1

Which activity is performed in the Operationalize phase of the Data Analytics Lifecycle?

A. Try different analytical techniques

B. Define the process to maintain the model

C. Try different variables

D. Transform existing variables

正解：B 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：2

You are working on a email spam filtering assignment, while working on this you find there is new word e.g.
HadoopExam comes in email, and in your solutions you never come across this word before, hence probability of this words is coming in either email could be zero. So which of the following algorithm can help you to avoid zero probability?

A. Logistic Regression

B. Laplace Smoothing

C. All of the above

D. Naive Bayes

正解：B 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：3

Select the correct statement which applies to Principal component analysis (PCA)

A. 1 and 3 are correct

B. Is a mathematical procedure that transforms a number of (possibly) correlated variables into a (higher) number of uncorrelated variables

C. Is a mathematical procedure that transforms a number of (possibly) correlated variables into a (smaller) number of uncorrelated variables.

D. Increase the dimensionality of the data set.

E. 1 and 2 are correct

正解：C 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：4

You have collected the 100's of parameters about the 1000's of websites e.g. daily hits, average time on the websites, number of unique visitors, number of returning visitors etc. Now you have find the most important parameters which can best describe a website, so which of the following technique you will use

A. Logistic Regression

B. Linear Regression

C. PCA (Principal component analysis)

D. Clustering

正解：C 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：5

If you are trying to predict or forecast a discrete target value, then which is the correct options

A. Density estimation algorithm

B. Supervised Learning regression algorithms

C. Un supervised Learning

D. Supervised Learning classification algorithms

正解：D 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：6

A denote the event 'student is female' and let B denote the event 'student is French'. In a class of 100 students suppose 60 are French, and suppose that 10 of the French students are females. Find the probability that if I pick a French student, it will be a girl, that is, find P(A|B).

A. 1/6

B. 2/6

C. 1/3

D. 2/3

正解：A 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：7

Question-13. Which of the following is not the Classification algorithm?

A. Logistic Regression

B. Neural Network

C. Support Vector Machine

D. None of the above

E. Hidden Markov Models

正解：D 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：8

Logistic regression is a model used for prediction of the probability of occurrence of an event. It makes use of several variables that may be......

A. Both 1 and 2 are correct

B. Categorical

C. None of the 1 and 2 are correct

D. Numerical

正解：A 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：9

Which of the following metrics are useful in measuring the accuracy and quality of a recommender system?

A. Sum of Absolute Errors

B. Support Vector Count

C. Cluster Density

D. Mean Absolute Error

正解：D 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：10

In which of the scenario you can use the linear regression model?

A. Predicting tumor size reduction based on input as number of radiation treatment

B. Predicting Home Price based on the location and house area

C. Predicting demand of the goods and services based on the weather

D. Predicting sales of the text book based on the number of students in state

正解：A,B,C,D 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

Databricks-Certified-Professional-Data-Scientist試験無料問題集「Databricks Certified Professional Data Scientist 認定」