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

Which of the following true with regards to the K-Means clustering algorithm?

A. It find each objects fall in which particular cluster

B. It classify the data based on the labels.

C. It discovers the center of each cluster.

D. Labels are pre-assigned to each objects in the cluster.

E. Labels are not pre-assigned to each objects in the cluster.

正解：A,C,E 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 logistic regression

A. May have low accuracy

B. Only 1 and 3 are correct

C. All 1, 2 and 3 are correct

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

E. Works with Numeric values

正解：C 解答を投票する

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出題：4

While working with Netflix the movie rating websites you have developed a recommender system that has produced ratings predictions for your data set that are consistently exactly 1 higher for the user-item pairs in your dataset than the ratings given in the dataset. There are n items in the dataset. What will be the calculated RMSE of your recommender system on the dataset?

A. n/2

B. 2

C. 1

D. 0

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

Select the correct algorithm of unsupervised algorithm

A. Support Vector Machines

B. K-Means

C. K-Nearest Neighbors

D. Naive Bayes

正解：C 解答を投票する

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出題：6

You are working on a Data Science project and during the project you have been gibe a responsibility to interview all the stakeholders in the project. In which phase of the project you are?

正解：D 解答を投票する

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出題：7

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

正解：D 解答を投票する

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出題：8

You are creating a model for the recommending the book at Amazon.com, so which of the following recommender system you will use you don't have cold start problem?

A. Content-based filtering

B. Item-based collaborative filtering

C. Naive Bayes classifier

D. User-based collaborative filtering

正解：A 解答を投票する

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出題：9

You are working as a data science consultant for a gaming company. You have three member team and all other stake holders are from the company itself like project managers and project sponsored, data team etc.
During the discussion project managed asked you that when can you tell me that the model you are using is robust enough, after which step you can consider answer for this question?

正解：E 解答を投票する

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出題：10

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

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)

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