Pass with professional DEA-7TT2 actual quiz materials

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

• A. Logistic Regression handles missing values well
• B. Logistic Regression is robust with redundant or correlated variables
• C. Logistic Regression returns probability estimates of an event
• D. Logistic Regression works well with discrete variables that have many distinct values

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?
Response:

• A. Read the extracted text for each review and manually tabulate the results
• B. Group the reviews using Naive Bayesian classification
• C. Convert the extracted text into a suitable document representation and index into a review corpus
• D. Use the extracted text and your regular expression to perform a sentiment analysis based on mentions of the new product

You have been assigned to do a study of the daily revenue effect of a pricing model of online transactions. When have you completed the analytics lifecycle?
Response:

• A. You have presented the results of the model to both the internal analytics team and the business owner of the project.
• B. You have a completely developed model, and the results have shown statistically acceptable results.
• C. You have a completely developed model based on both a sample of the data and the entire set of data available.
• D. You have written documentation, and the code has been handed off to the Data Base Administrator and business operations.

In a Logistic Regression, the coefficient for "age" equals -3. What is the correct interpretation of the Logistic Regression coefficient, holding all other variables constant?
Response:

• A. When age decreases by 3 units, the odds of response are multiplied by e(-3) or 0.05
• B. When age increases by 1 unit, the odds of response are multiplied by e(-3) or 0.05
• C. For every 1 unit increase in age, the dependent variable is multiplied by -3
• D. For every 1 unit increase in age, the dependent variable is reduced by 3 units

You have plotted the distribution of savings account sizes for a bank.

Based on the distribution shown in the exhibit, how would you proceed?
Response:

• A. Data is extremely skewed but looks bimodal. Replot the data in the range 2,500 - 10,000 to be certain.
• 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. Replot the data on a logarithmic scale to get a better understanding of it.
• D. Accounts of sizes greater than 2,500 are rare and are most likely outliers. Eliminate them from future analysis.