Data Analytics Practice Exam #9

IT Specialist : Data Analytics Practice Exam 1. For each statemet, select Yes i fit is true or No i fit is false. A. Machine learning algorithms must be unsupervised. Answer:NO B. Machine learning algorithms learn from data and adapt autonomously. Answer:YES C. Machine learning algorithms can do classification, regression, and forecasting tasks. Answer:YES 2. Many players on a soccer team are injured during practice. The coach gathers data about the players using a survey. You need to determine whether each survey response represents quantitative or qualitative data. Move each survey response to the correct category. A. Player A weighs 140 pounds Answer:Quantitative B. Player A thought the workout on Tuesday was very hard Answer:Qualitative C. Player A worked out three times this week Answer:Quantitative D. Player A walks to the workouts Answer:Qualitative 3. You are evaluating four employees for a raise in compensation. You gather th following data about the employees: Candidate Employee A Employee B Employee C Employee D Personality 50 90 100 80 Education 90 100 80 80 Punctuality 100 80 100 80 Performance 100 100 60 80 You need to visualize how each employee compares to each other employee. You also want to visualize how each employee's rating type compares to the other rating types. For example, you want to know how Employee A's personality compares to Employee B's personality, as well as how Employee A's personality compares to education. You need to choose the appropriate chart type to create the report. Which chart type should you use? Select the correct chart type in the answer area. A. B. C. D. Answer: C 4. Which method is statistically valid way to remove outliers from the data? A. Remove values that are more than three standard deviations away from the mean B. Remove values that diverge more than three times from the mean, median, or mode C. Remove values that are greater than the standard deviation divided by the mean D. Remove values that visually seem too far off the mean value 5. You are performing hypothesis testing on a claim. You state your research hypothesis as a null hypothesis. What should you do next? A. Perform a statistical test. B. State an alternative hypothesis. C. Collect data. D. Present your findings. 6. Which three procedures are included in the data cleaning stage of analyzing data? (Choose 3.) A. Filtering out NULL values B. Removing outliers C. Removing duplicates D. Creating visualizations E. Optimizing models 7. Which grid-like data structure holds records and attributes describing those records? A. Column B. Table C. List D. Row 8. You are processing data stored in a list. Which area represents a list data structure? Select the list structure in the answer area. A. B. C. Answer :C 9. A retail juice chain wants to examine the profitability of their newest juice product across all locations in the nation. Each location has submitted their data. What must the analyst do first to identify the nationwide profitability from the data that has been retrieved? A. Calculate the maximum earnings from each location and display the result in a table B. Aggregate the data from all locations C. Convert the data to a different file format D. Disaggregate the data from all locations 10. Which scenario requires aggregation as a necessary step? A. Comparing the individual performance of participants in groups A and B B. Comparing the group-wise performance of two groups, A and B C. Comparing the performance of a single member of group A to the rest of group A D. Comparing the performance of a single member of group B to the rest of group B