[Dec 08, 2024] 100% Real & Accurate D-DS-FN-23 Questions with Free and Fast Updates
Self-Study Guide for Becoming an Dell Data Scientist and Big Data Analytics Foundations 2023 Expert
NEW QUESTION # 120
Which word or phrase completes the statement? Data-ink ratio is to data visualization as _________.
- A. Data scientist is to big data
- B. K-means is to Naive Bayes
- C. Seasonality is to ARIMA
- D. Confusion matrix is to classifier
Answer: D
NEW QUESTION # 121
Refer to exhibit.
You are asked to write a report on how specific variables impact your client's sales using a data set provided to you by the client. The data includes 15 variables that the client views as directly related to sales, and you are restricted to these variables only.
After a preliminary analysis of the data, the following findings were made:
1. Multicollinearity is not an issue among the variables
2. Only three variables A, B, and C have significant correlation with sales You build a linear regression model on the dependent variable of sales with the independent variables of A, B, and C. The results of the regression are seen in the exhibit. You cannot request additional data.
What is a way that you could try to increase the R2 of the model without artificially inflating it?
- A. Create clusters based on the data and use them as model inputs
- B. Create interaction variables based only on variables A, B, and C
- C. Break variables A, B, and C into their own univariate models
- D. Force all 15 variables into the model as independent variables
Answer: A
NEW QUESTION # 122
Which word or phrase completes the statement? A Data Scientist would consider that a RDBMS is to a Table as R is to a ________.
- A. Data frame
- B. List
- C. Array
- D. Matrix
Answer: A
NEW QUESTION # 123
A data scientist wants to add a new categorical variable, X2, into a Linear Regression model Y=b0+b1*X1.
How many terms should be added to the right-hand side of the equation if X2 has four possible values?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: C
NEW QUESTION # 124
Refer to the exhibit.
What is the approximate R-squared value for a linear regression model fitted to the data associated with this scatterplot?
- A. 0
- B. 0.96
- C. 0.01
- D. 1
Answer: C
NEW QUESTION # 125
What describes a true property of Logistic Regression method?
- A. It is robust with redundant variables and correlated variables.
- B. It handles missing values well.
- C. It works well with variables that affect the outcome in a discontinuous way.
- D. It works well with discrete variables that have many distinct values.
Answer: A
NEW QUESTION # 126
The Marketing department of your company wishes to track opinion on a new product that was recently introduced. Marketing would like to know how many positive and negative reviews are appearing over a given period and potentially retrieve each review for more in- depth insight.
They have identified several popular product review blogs that historically have published thousands of user reviews of your company's products. You have been asked to provide the desired analysis.
You examine the RSS feeds for each blog and determine which fields are relevant. You then craft a regular expression to match your new product's name and extract the relevant text from each matching review.
What is the next step you should take?
- A. Group the reviews using Naïve Bayesian classification
- B. Read the extracted text for each review and manually tabulate the results
- C. Use the extracted text and your regular expression to perform a sentiment analysis based on mentions of the new product
- D. Convert the extracted text into a suitable document representation and index into a review corpus
Answer: D
NEW QUESTION # 127
Which clause is required by all window functions?
- A. ORDER BY
- B. RANGE()
- C. PARTITION BY
- D. OVER()
Answer: D
NEW QUESTION # 128
You have been assigned to do a study of the daily revenue effect of a pricing model of online transactions.
You have tested all the theoretical models in the previous model planning stage, and all tests have yielded statistically insignificant results.
What is your next step?
- A. Report that the results are insignificant, and reevaluate the original business question.
- B. Move forward on the model with the highest significance scores relative to the others.
- C. Modify samples used by the models and iterate until a significant result occurs.
- D. Run all the models again against a larger sample, leveraging more historical data.
Answer: A
NEW QUESTION # 129
What are two data categories that represent quantitative data?
- A. Ordinal and interval
- B. Ratio and interval
- C. Nominal and ordinal
- D. Nominal and ratio
Answer: B
NEW QUESTION # 130
What tasks need to be completed when designing an analytic sandbox?
- A. Discuss with business experts the best ways to join different datasets
- B. Establish the database tables for extract, translate, and load
- C. Define the hardware and Hadoop network requirements
- D. Estimate the size of the dataset and plan for 5-10 times the size
Answer: D
NEW QUESTION # 131
Which chart type is the most effective way to show trends over time?
- A. Bar Chart
- B. Stacked Bar Chart
- C. Histogram
- D. Line Chart
Answer: D
NEW QUESTION # 132
Refer to the exhibit.
You have plotted the distribution of savings account sizes for your bank.
How would you proceed, based on this distribution?
- A. The data is extremely skewed. Replot the data on a logarithmic scale to get a better sense of it.
- B. The data is extremely skewed, but looks bimodal; replot the data in the range 2, 500-10, 000 to be sure.
- C. The accounts of size greater than 2500 are rare, and probably outliers. Eliminate them from your future analysis.
- D. The data is extremely skewed. Splityour analysis into two cohorts: accountsless than 2500, and accounts greater than 2500
Answer: A
NEW QUESTION # 133
You are analyzing a time series and want to determine its stationarity. You also want to determine the order of autoregressive models.
How are the autocorrelation functions used?
- A. ACF as an indication of stationarity, and PACF to determine the correlation of X1 through Xk-1.
- B. ACF as an indication of stationarity, and PACF for the correlation between Xt and Xt-k not explained by their mutual correlation with X1 through Xk-1.
- C. PACF as an indication of stationarity, and ACF for the correlation between Xt and Xt-k not explained by their mutual correlation with X1 through Xk-1.
- D. PACF as an indication of stationarity, and ACF to determine the correlation of X1 through Xk-1.
Answer: B
NEW QUESTION # 134
After which phase of the data analytics lifecycleshould you determine the best way to integrate solutions with production systems?
- A. Communicate results
- B. Discovery
- C. Data preparation
- D. Model planning
Answer: A
NEW QUESTION # 135
How is dimensionality defined in a "bag of words" document representation?
- A. Total number of words in the document
- B. Number of unique terms in the document
- C. Frequency of repeated words in the document
- D. Average number of words per sentence in the document
Answer: B
NEW QUESTION # 136
A study was run to identify general dietary patterns among the residents of a small town. Twelve thousand people were surveyed and the data was subject to K-means clustering.
In one of the iterations, there were six clusters formed with 38, 1560, 1799, 2560, 2893, and 3150 respondents.
What should be the next step in identifying optimal clusters?
- A. Multiply each variable by its standard deviation
- B. Add more categorical variables to the dataset to maximize the Within Sum of Squares (WSS) value for K=6
- C. Determine the optimal number of clusters by plotting the Within Sum of Squares (WSS) values as a function of K
- D. Remove 38 respondents because the 5 clusters seem to be well distributed
Answer: C
NEW QUESTION # 137
You have plotted the distribution of savings account sizes for a bank.
Based on the distribution shown in the exhibit, how would you proceed?
- A. Data is extremely skewed. Replot the data on a logarithmic scale to get a better understanding of it.
- B. Data is extremely skewed. Split the analysis into two cohorts; accounts less than 2,500 and accounts greater than 2,500.
- C. Data is extremely skewed but looks bimodal. Replot the data in the range 2,500 - 10,000 to be certain.
- D. Accounts of sizes greater than 2,500 are rare and are most likely outliers. Eliminate them from future analysis.
Answer: A
NEW QUESTION # 138
What are considerations in a data science and Big Data analytics project?
- A. Applying the latest technologies to demonstrate technical skills
- B. Ignoring executive stakeholders and business users
- C. Analysis flexibility and decision making
- D. Building data silos and bypassing data privacy rules
Answer: C
NEW QUESTION # 139
What is a distinct property of Logistic Regression compared with Linear Regression?
- A. Logistic Regression handles missing values well
- B. Logistic Regression is robust with redundant or correlated variables
- C. Logistic Regression works well with discrete variables that have many distinct values
- D. Logistic Regression returns probability estimates of an event
Answer: D
NEW QUESTION # 140
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. Gender
- B. Credit Score
- C. Income
- D. Age
Answer: B
NEW QUESTION # 141
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