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

出題：1

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?

A. Operationnalise the models

B. Creating Models

C. Executing Models

D. Discovery

E. Creating visuals from the outcome

F. Data Preparations

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：2

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：3

What is one modeling or descriptive statistical function in MADlib that is typically not provided in a standard relational database?

A. Expected value

B. Linear regression

C. Variance

D. Quantiles

正解：B 解答を投票する

出題：4

Reducing the data from many features to a small number so that we can properly visualize it in two or three dimensions. It is done in_______

A. supervised learning

B. un-supervised learning

C. Support vector machines

D. k-Nearest Neighbors

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：5

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：6

Select the correct option from the below

A. Are you trying to fit your data into some discrete groups? If so and that's all you need, you should look into clustering.

B. If you're trying to predict or forecast a target value^ then you need to look into supervised learning.

C. If you've chosen supervised learning, with discrete target value like Yes/No. 1/2/3, A/B/C: or Red/Yellow/Black, then look into classification.

D. If you're not trying to predict a target value, then you need to look into unsupervised learning

E. If the target value can take on a number of values, say any value from 0.00 to 100.00, or -999 to 999: or
+_to -_, then you need to look unsupervised learning

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)

出題：7

You are creating a regression model with the input income, education and current debt of a customer, what could be the possible output from this model.

A. expressed as a percent, that the customer will default on a loan

B. Customer fit as acceptable or average category

C. Customer fit as a good

D. 1 and 3 are correct

E. 2 and 3 are correct

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

Which of the following question statement falls under data science category?

A. Which is the optimal scenario for selling this product?

B. What happened in last six months?

C. Where is a problem for sales?

D. How many products have been sold in a last month?

E. What happens, if these scenario continues?

正解：A,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：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 is asked to implement an article recommendation feature for an on-line magazine.
The magazine does not want to use client tracking technologies such as cookies or reading history. Therefore, only the style and subject matter of the current article is available for making recommendations. All of the magazine's articles are stored in a database in a format suitable for analytics.
Which method should the data scientist try first?

A. Association Rules

B. Logistic Regression

C. K Means Clustering

D. Naive Bayesian

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」