최신 Databricks-Certified-Professional-Data-Scientist 무료덤프 - Databricks Certified Professional Data Scientist

문제1

RMSE is a good measure of accuracy, but only to compare forecasting errors of different models for a______, as it is scale-dependent.

A. All of the above are correct

B. Particular Variable

C. Between Variables

D. Among all the variables

정답: B

설명: (DumpTOP 회원만 볼 수 있음)

문제2

In which phase of the analytic lifecycle would you expect to spend most of the project time?

A. Data preparation

B. Operationalize

C. Discovery

D. Communicate Results

정답: A

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문제3

The method based on principal component analysis (PCA) evaluates the features according to

A. The projection of the smallest eigenvector of the correlation matrix on the initial dimensions

B. According to the magnitude of the components of the discriminate vector

C. The projection of the largest eigenvector of the correlation matrix on the initial dimensions

D. None of the above

정답: C

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문제4

Suppose that we are interested in the factors that influence whether a political candidate wins an election. The outcome (response) variable is binary (0/1); win or lose. The predictor variables of interest are the amount of money spent on the campaign, the amount of time spent campaigning negatively and whether or not the candidate is an incumbent.
Above is an example of

A. Recommendation system

B. Linear Regression

C. Logistic Regression

D. Hierarchical linear models

E. Maximum likelihood estimation

정답: C

설명: (DumpTOP 회원만 볼 수 있음)

문제5

Which analytical method is considered unsupervised?

may have a trend component that is quadratic in nature. Which pattern of data will indicate that the trend in the time series data is quadratic in nature?

A. Decision tree

B. Naive Bayesian classifier

C. K-means clustering

D. Linear regression

정답: C

설명: (DumpTOP 회원만 볼 수 있음)

문제6

Which of the following skills a data scientists required?

A. Should possess good programming skills

B. He should possess database administrative skills.

C. He should be creative

D. Should be very good at mathematics and statistic

E. Web designing to represent best visuals of its results from algorithm.

정답: A,C,D

설명: (DumpTOP 회원만 볼 수 있음)

문제7

Which of the following technique can be used to the design of recommender systems?

A. Naive Bayes classifier

B. Collaborative filtering

C. 1 and 3

D. Power iteration

E. 2 and 3

정답: B

설명: (DumpTOP 회원만 볼 수 있음)

문제8

Find out the classifier which assumes independence among all its features?

A. Linear Regression

B. Neural networks

C. Random forests

D. Naive Bayes

정답: D

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문제9

Question-18. What is the best way to ensure that the k-means algorithm will find a good clustering of a collection of vectors?

A. Choose the initial centroids so that they all He along different axes

B. Only consider values of k larger than log(N), where N is the number of observations in the data set

C. Choose the initial centroids so that they are far away from each other

D. Run at least log(N) iterations of Lloyd's algorithm, where N is the number of observations in the data set

정답: C

설명: (DumpTOP 회원만 볼 수 있음)

문제10

What type of output generated in case of linear regression?

A. Values between 0 and 1

B. Any of the Continuous and Discrete variable

C. Continuous variable

D. Discrete Variable

정답: C

설명: (DumpTOP 회원만 볼 수 있음)

최신 Databricks-Certified-Professional-Data-Scientist 무료덤프 - Databricks Certified Professional Data Scientist

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