D-DS-FN-23無料問題集「EMC Dell Data Scientist and Big Data Analytics Foundations 2023」

質問 1

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?

（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

質問 2

Before you build an ARMA model, how can you tell if your time series is weakly stationary?

（A）The mean of the series is close to 0.

（B）The series is normally distributed.

（C）There appears to be no apparent trend component.

（D）There appears to be a constant variance around a constant mean.

正解：D 解答を投票する

質問 3

You have been assigned to perform a study of the daily revenue effect of a pricing model of online transactions. All the data currently available has been loaded into an analytics database.
This data includes revenue data, pricing data, and online transaction data. You have completed a thorough univariate analysis of all data and have decided that there are three different models you want to test.
Preliminary results show that all models have equally effective results.
What is the next step?

（A）Prioritize models by complexity and feasibility, and proceed with the most feasible

（B）Select the model that demonstrates the most sophisticated technique and accuracy

（C）Identify which model the business owner wants and proceed with that model

（D）Develop all three models and perform model selection in the next step of the process

正解：A 解答を投票する

質問 4

Refer to the exhibit.

What provides the decision tree for predicting whether or not someone is a good or bad credit risk.
What would be the assigned probability, p(good), of a single male with no known savings?

（A）0.83

（B）0.498

（C）0.6

（D）0

正解：A 解答を投票する

質問 5

Amajor health care company with 2,500 hospitals acquired a company with 1,500 hospitals. In the year following the company merger, all the health care records have been digitized and loaded into a new centralized data warehouse.
Each individual's health record now includes all doctor's notes and medical images taken. There are currently hundreds of models and reports in production that were built in the original data warehouse.
Since the merger, these models have become outdated and need to be re-evaluated. You have been assigned to update the models that predict the hospital visitation pattern and resource usage of individuals with chronic diseases.
Which steps of the analytic project should be performed in the database?

（A）Model evaluation and A/B testing

（B）Data processing, variable selection, model building and scoring

（C）Data processing and scoring new individual records in production

（D）Model design and bootstrapping for model evaluation

正解：B 解答を投票する

質問 6

What is an example of a null hypothesis?

（A）that a newly created model provides a prediction of a null sample mean

（B）that a newly created model provides a prediction of a null population mean

（C）that a newly created model does not provide better predictions than the currently existing model

（D）that a newly created model provides a prediction that will be well fit to the null distribution

正解：C 解答を投票する

質問 7

Your company has 3 different sales teams. Each team's sales manager has developed incentive offers to increase the size of each sales transaction.
Any sales manager whose incentive program can be shown to increase the size of the average sales transaction will receive a bonus. Data are available for the number and average sale amount for transactions offering one of the incentives as well as transactions offering no incentive.
The VP of Sales has asked you to determine analytically if any of the incentive programs has resulted in a demonstrable increase in the average sale amount.
Which analytical technique would be appropriate in this situation?

（A）One-way ANOVA

（B）Student's t-test

（C）Wilcox son Rank Sum Test

（D）Multi-way ANOVA

正解：A 解答を投票する

質問 8

You have created a scatterplot of two continuous variables for 2000 records. You want to add a line to the scatterplot to check linearity of the data.
Which function would best address this need?

（A）glm()

（B）hist()

（C）abline()

（D）lm()

正解：C 解答を投票する

質問 9

In the Map Reduce framework, what is the purpose of the Map Function?

（A）It collects the output of the Reduce function

（B）It processes the input and generates key-value pairs

（C）It sorts the results of the Reduce function

（D）It breaks the input into smaller components and distributes to other nodes in the cluster

正解：B 解答を投票する

質問 10

Which function shown in the exhibit is used to calculate the sample variance?

（A）b

（B）c

（C）d

（D）a

正解：D 解答を投票する

質問 11

Which word or phrase completes the statement? Mahout is to Hadoop as MADlib is to _______.

（A）PostgreSQL

（B）Excel

（C）R

（D）SAS

正解：A 解答を投票する

質問 12

What activities occur during the discovery phase of the data analytics lifecycle?

（A）Deploy and monitor model performance

（B）Interview project sponsor and stakeholders

（C）Build training and test datasets

（D）Perform ETL and data exploration

正解：B 解答を投票する

質問 13

Refer to the exhibit.

You are building a decision tree. In this exhibit, four variables are listed with their respective values of info-gain.
Based on this information, on which attribute would you expect the next split to be in the decision tree?

（A）Income

（B）Credit Score

（C）Gender

（D）Age

正解：B 解答を投票する

質問 14

Which word or phrase completes the statement; "Adata scientist would consider a RDBMS is to a table as R is to a_____."?

（A）List

（B）Array

（C）Data frame

（D）Matrix

正解：C 解答を投票する

質問 15

Which ROC curve represents a perfect model fit?
A)

B)

C)

D)

（A）Exhibit D

（B）Exhibit C

（C）Exhibit A

（D）Exhibit B

正解：C 解答を投票する

質問 16

The graphic shows the values for the input Boolean attributes "A", "B", and "C". In addition, the graphic shows the values for the output attribute "class".

Which Decision Tree is valid for the data?

（A）Tree A

（B）Tree B

（C）Tree D

（D）Tree C

正解：B 解答を投票する

質問 17

Refer to the exhibit.

To predict whether or not a customer will renew their annual property insurance policy, an insurance company built and operationalized a naïve Bayes classification model.
Inthemodel, therearetwo classlabels, renewaland non-renewal, thatare assignedtoeachcustomerbased on their attributes. Asubset of the key attributes, their values, and corresponding conditional probabilities are provided in the exhibit.
A customer has the following attributes:
- Age is greater than 65 years
- Owns their own home
- Renewal month is August
If 20% of customers do not renew their policies every year, what is the score for a non-renewal in the naïve Bayesian model for the customer described above?

（A）0.0020

（B）0.0002

（C）0.0040

（D）0.0004

正解：D 解答を投票する

質問 18

What is a motivation for using a data analytics lifecycle?

（A）Limits the amount of data needed

（B）Guarantees a successful project

（C）Creates a repeatable process

（D）Explores all possible approaches

正解：C 解答を投票する

質問 19

When creating a project sponsor presentation, what is the main objective?

（A）Show that you met the project goals

（B）Show how you met the project goals

（C）Clearly describe the methods and techniques used

（D）Show how well the model will meet the SLA (service level agreement)

正解：A 解答を投票する

D-DS-FN-23 無料問題集「EMC Dell Data Scientist and Big Data Analytics Foundations 2023」

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