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NEW QUESTION # 170
What describes a true limitation of a Logistic Regression method?
- A. Does not handle redundant variables well
- B. Does not have explanatory values
- C. Does not handle missing values well
- D. Does not handle correlated variables well
Answer: C
NEW QUESTION # 171
Which data type value is used for the observed response variable in a logistic regression model?
- A. Any real number
- B. Any integer
- C. Any positive real number
- D. A binary value
Answer: D
NEW QUESTION # 172
You have been assigned to perform a study of the daily revenue effect of a pricing model of online transactions. All data currently available to you has been loaded into your analytics database. This includes revenue data, pricing data, and online transaction data.
You discover that all data comes in different levels of granularity. The transaction data has timestamps consisting of day, hour, minutes, and seconds. Pricing is stored at the daily level and revenue data is only reported monthly.
What is the next step?
- A. Report back to the business owner that the current data model does not support the business question.
- B. Interpolate a daily model for revenue from the monthly revenue data.
- C. Aggregate all data to the monthly level in order to create a monthly revenue model.
- D. Disregard revenue as the key reason in the pricing model and create a daily model based on pricing and transactions only.
Answer: A
NEW QUESTION # 173
In a t-test with unknown variance, what values are used to calculate the t-statistic?
- A. Mean, sample standard deviation, and population size
- B. Sample mean, standard deviation, and sample size
- C. Sample mean, sample standard deviation, and sample size
- D. Mean, standard deviation, and population size
Answer: C
NEW QUESTION # 174
You have scored your Naïve Bayesian Classifier model on "hold out" test data for cross validation. You have determined the way the samples scored and have tabulated them as shown in the exhibit.
What are the Precision and Recall rates of the model?
- A. Precision = 277/262 Recall = 288/262
- B. Precision = 288/262 Recall = 277/262
- C. Precision = 262/277 Recall = 262/288
- D. Precision =262/288 Recall = 262/277
Answer: C
NEW QUESTION # 175
In which phase of the data analytics lifecycle do Data Scientists spend the most time in a project?
- A. Model Building
- B. Data Preparation
- C. Communicate Results
- D. Discovery
Answer: B
NEW QUESTION # 176
The web analytics team uses Hadoop to process access logs. They now want to correlate this data with structured user data residing in their massively parallel database.
Which tool should they use to export the structured data from Hadoop?
- A. Scribe
- B. Pig
- C. Sqoop
- D. Chukwa
Answer: C
NEW QUESTION # 177
You are performing a market basket analysis using the Apriori algorithm.
Which measure is a ratio describing the how many more times two items are present together than would be expected if those two items are statistically independent?
- A. Support
- B. Lift
- C. Leverage
- D. Confidence
Answer: B
NEW QUESTION # 178
What is an example of a null hypothesis?
- A. that a newly created model provides a prediction of a null population mean
- B. that a newly created model does not provide better predictions than the currently existing model
- C. that a newly created model provides a prediction of a null sample mean
- D. that a newly created model provides a prediction that will be well fit to the null distribution
Answer: B
NEW QUESTION # 179
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. Remove 38 respondents because the 5 clusters seem to be well distributed
- B. Determine the optimal number of clusters by plotting the Within Sum of Squares (WSS) values as a function of K
- C. Add more categorical variables to the dataset to maximize the Within Sum of Squares (WSS) value for K=6
- D. Multiply each variable by its standard deviation
Answer: B
NEW QUESTION # 180
Which word or phrase completes the statement? A spreadsheet is to a data island as a centralized database for reporting is to a __________?
- A. Data Repository
- B. Analytic Sandbox
- C. Data Warehouse
- D. Data Mart
Answer: C
NEW QUESTION # 181
Which relationship holds for a confusion matrix?
- A. Precision = 1 - False Positive Ratio
- B. Recall = 1 - False Negative Ratio
- C. Precision = 1 - False Negative Ratio
- D. Recall = 1 - False Positive Ratio
Answer: B
NEW QUESTION # 182
Consider a scale that has five (5) values that range from "not important" to "very important".
Which data classification best describes this data?
- A. Real
- B. Nominal
- C. Ratio
- D. Ordinal
Answer: D
NEW QUESTION # 183
On analyzing the results of a K-means clustering output, you noticed that splits on variables you expected to see were not observed.
What actions should be taken?
- A. Increase the value of K
- B. Use the value of K where the value of WSS given for K represents the overall dispersion of the data
- C. Decrease the value of K
- D. Decrease the number of variables in the model
Answer: A
NEW QUESTION # 184
What does the R code z <- f[1:10, ] do?
- A. Assigns the 1st 10 columns to z
- B. Assigns the 1st 10 columns of the 1st row of f to z
- C. Assigns a sequence of values from 1 to 10 to z
- D. Assigns the first 10 rows of f to the vector z
Answer: D
NEW QUESTION # 185
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