DEA-7TT2無料問題集「EMC Associate - Data Science and Big Data Analytics v2」

質問 1

You have fit a decision tree classifier using 12 input variables. The resulting tree used 7 of the 12 variables, and is 5 levels deep. Some of the nodes contain only 3 data points. The AUC of the model is 0.85.
What is your evaluation of this model?
Response:

（A）The tree did not split on all the input variables. You need a larger data set to get a more accurate model.

（B）The AUC is high, so the overall model is accurate. It is not well-calibrated, because the small nodes will give poor estimates of probability.

（C）The tree is probably overfit. Try fitting shallower trees and using an ensemble method.

（D）The AUC is high, and the small nodes are all very pure. This is an accurate model.

正解：C 解答を投票する

質問 2

What does R code nv <- v[v < 1000] do?
Response:

（A）Sets nv to TRUE or FALSE depending on whether all elements of vector v are less than 1000

（B）Selects values of vector v less than 1000, modifies v, and makes a copy to nv

（C）Removes elements of vector v less than 1000 and assigns the elements >= 1000 to nv

（D）Selects the values in vector v that are less than 1000 and assigns them to the vector nv

正解：D 解答を投票する

質問 3

Refer to the Exhibit.

You are going into a meeting where you anticipate your manager will have a question on your dataset. Specifically, your manager will want to know about customers that are classified as renters with a good credit status. In order to prepare for the meeting, you create a rule: RENTER => GOOD CREDIT.
What is the confidence of this rule?
Response:

（A）73%

（B）41%

（C）63%

（D）18%

正解：C 解答を投票する

質問 4

Refer to the exhibit.

In the exhibit, a correlogram is provided based on an autocorrelation analysis of a sample dataset. What can you conclude from only this exhibit?
Response:

（A）There is no structure left to model in the data

（B）Differencing is required before proceeding with any analysis

（C）Lag 7 has a significant negative autocorrelation

（D）There is significant autocorrelation through lag 3

正解：D 解答を投票する

質問 5

Which activity might be performed in the Operationalize phase of the Data Analytics Lifecycle?
Response:

（A）Run a pilot

（B）Try different analytical techniques

（C）Transform existing variables

（D）Try different variables

正解：A 解答を投票する

質問 6

A data scientist is given an R data frame, "empdata", with the columns Age, Salary, Occupation, Education, and Gender. The data scientist would like to examine only the Salary and Occupation columns for ages greater than 40.
Which command extracts the appropriate rows and columns from the data frame?
Response:

（A）empdata[, c("Salary", "Occupation")]$Age > 40

（B）empdata[Age > 40, ("Salary", "Occupation")]

（C）empdata[c("Salary", "Occupation"), empdata$Age > 40]

（D）empdata[empdata$Age > 40, c("Salary", "Occupation")]

正解：D 解答を投票する

質問 7

What is the reason for using LOESS?
Response:

（A）Plots a continuous variable versus a discrete variable; comparing distributions across classes

（B）Runs after a one-way ANOVA; determining which population has the highest mean value

（C）Significance test for the correlation between two variables

（D）Fits a smoothed curve to scatterplot data; providing a general idea of the data,s behavior

正解：D 解答を投票する

質問 8

A disk drive manufacturer has a defect rate of less than 1.5% with 98% confidence. A quality assurance team samples 1000 disk drives and finds 14 defective units. Which action should the team recommend?
Response:

（A）There is a flaw in the quality assurance process and the sample should be repeated

（B）The manufacturing process is functioning properly and no further action is required

（C）A larger sample size should be taken to determine if the plant is operating correctly

（D）A smaller sample size should be taken to determine if the plant is operating correctly

正解：B 解答を投票する

質問 9

What is a distinct property of Logistic Regression compared with Linear Regression?
Response:

（A）Logistic Regression returns probability estimates of an event

（B）Logistic Regression works well with discrete variables that have many distinct values

（C）Logistic Regression is robust with redundant or correlated variables

（D）Logistic Regression handles missing values well

正解：A 解答を投票する

質問 10

If your intention is to show trends over time, which chart type is the most appropriate way to depict the data?
Response:

（A）Histogram

（B）Line chart

（C）Stacked bar chart

（D）Bar chart

正解：B 解答を投票する

質問 11

In R, functions like plot() and hist() are known as what?
Response:

（A）generic methods

（B）virtual methods

（C）virtual functions

（D）generic functions

正解：B 解答を投票する

質問 12

Imagine you are trying to hire a Data Scientist for your team. In addition to technical ability and quantitative background, which additional essential trait would you look for in people applying for this position?
Response:

（A）Domain expertise

（B）Well Organized

（C）Communication skill

（D）Scientific background

正解：C 解答を投票する

質問 13

Consider the following SQL query:
SELECT product_id FROM supplier_A
UNION
SELECT product_id FROM supplier_B;
What is the expected result?
Response:

（A）All product_id values from supplier_B table but not from supplier_A table

（B）All product_id values from supplier_A table but not from supplier_B table

（C）All product_id values from both tables with duplicates or repeating rows

（D）All product_id values from both tables with no duplicates or repeating rows

正解：D 解答を投票する

質問 14

Consider a database with 4 transactions:
Transaction 1: {cheese, bread, milk}
Transaction 2: {soda, bread, milk}
Transaction 3: {cheese, bread}
Transaction 4: {cheese, soda, juice}
The minimum support is 25%. Which rule has a confidence equal to 50%?
Response:

（A）{bread, milk} => {cheese}

（B）{juice} => {soda}

（C）{bread} => {milk}

（D）{bread} => {cheese}

正解：A 解答を投票する

質問 15

You have created a Linear Regression model to predict total sales based on variables M, N, P and Q as shown in the graphic. You originally expected all variables to have positive coefficients. Which action would you take?
Response:

（A）Accept none of the variables and investigate correlations between all variables

（B）Accept only positive variables and investigate potential correlation with the dependent variable

（C）Accept only statistically significant variables and investigate correlated independent variables

（D）Accept all variables and begin model validation steps against holdout data

正解：A 解答を投票する

DEA-7TT2 無料問題集「EMC Associate - Data Science and Big Data Analytics v2」

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