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 of the following problem you can solve using binomial distribution

A. It was found that the mean length of 100 parts produced by a lathe was 20.05 mm with a standard deviation of 0.02 mm. Find the probability that a part selected at random would have a length between
20.03 mm and 20.08 mm

B. Vehicles pass through a junction on a busy road at an average rate of 300 per hour Find the probability that none passes in a given minute.

C. A manufacturer of metal pistons finds that on the average: 12% of his pistons are rejected because they are either oversize or undersize. What is the probability that a batch of 10 pistons will contain no more than 2 rejects?

D. A life insurance salesman sells on the average 3 life insurance policies per week. Use Poisson's law to calculate the probability that in a given week he will sell Some policies

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：2

Google Adwords studies the number of men, and women, clicking the advertisement on search engine during the midnight for an hour each day.
Google find that the number of men that click can be modeled as a random variable with distribution Poisson(X), and likewise the number of women that click as Poisson(Y).
What is likely to be the best model of the total number of advertisement clicks during the midnight for an hour
?

A. Poisson(X/Y)

B. Normal(X+Y(M+Y)1/2)

C. Binomial(X+Y,X+Y)

D. Poisson(X+Y)

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：3

Assume some output variable "y" is a linear combination of some independent input variables "A" plus some independent noise "e". The way the independent variables are combined is defined by a parameter vector B y=AB+e where X is an m x n matrix. B is a vector of n unknowns, and b is a vector of m values. Assuming that m is not equal to n and the columns of X are linearly independent, which expression correctly solves for B?

A. Option D

B. Option C

C. Option A

D. Option B

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：4

In statistics, maximum-likelihood estimation (MLE) is a method of estimating the parameters of a statistical model. When applied to a data set and given a statistical model, maximum-likelihood estimation provides estimates for the model's parameters and the normalizing constant usually ignored in MLEs because

A. The normalizing constant only has a small impact on the maximum likelihood

B. The normalizing constant is often zero and can cause division by zero

C. The normalizing constant doesn't impact the maximizing value

D. The normalizing constant is always very close to 1

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

Refer to the Exhibit.

In the Exhibit, the table shows the values for the input Boolean attributes "A", "B", and "C". It also shows the values for the output attribute "class". Which decision tree is valid for the data?

A. Tree B

B. Tree D

C. Tree C

D. Tree A

正解：A 解答を投票する

出題：6

Question-34. Stories appear in the front page of Digg as they are "voted up" (rated positively) by the community. As the community becomes larger and more diverse, the promoted stories can better reflect the average interest of the community members. Which of the following technique is used to make such recommendation engine?

A. Content-based filtering

B. Logistic Regression

C. Naive Bayes classifier

D. Collaborative filtering

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：7

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：8

Select the correct statement which applies to logistic regression

A. May have low accuracy

B. Computationally inexpensive, easy to implement knowledge representation easy to interpret

C. Works with Numeric values

正解：A,B,C 解答を投票する

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