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

出題：1

Select the correct statement which applies to K-Nearest Neighbors

A. Computationally expensive

B. Works with Numeric Values

C. No Assumption about the data

D. Require less memory

正解：A,B,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

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：3

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 are far away from each other

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

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

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

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

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：5

What is the best way to evaluate the quality of the model found by an unsupervised algorithm like k-means clustering, given metrics for the cost of the clustering (how well it fits the data) and its stability (how similar the clusters are across multiple runs over the same data)?

A. The most stable clustering subject to a minimal cost constraint

B. The most stable clustering

C. The lowest cost clustering

D. The lowest cost clustering subject to a stability constraint

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

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

A. Neural networks

B. Linear Regression

C. Random forests

D. Naive Bayes

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

Clustering is a type of unsupervised learning with the following goals

A. 2 and 3

B. 1 and 2

C. Not to maximize a utility function

D. Maximize a utility function

E. Find similarities in the training data

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：8

In unsupervised learning which statements correctly applies

A. telling the machine Predict Y for our data X

B. Instead of telling the machine Predict Y for our data X, we're asking What can you tell me about X?

C. It does not have a target variable

正解：B,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：9

What is the probability that the total of two dice will be greater than 8, given that the first die is a 6?

A. 1/6

B. 2/6

C. 1/3

D. 2/3

正解：D 解答を投票する

出題：10

A data scientist wants to predict the probability of death from heart disease based on three risk factors: age, gender, and blood cholesterol level. What is the most appropriate method for this project?

A. K-means clustering

B. Linear regression

C. Logistic regression

D. Apriori algorithm

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)

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