IT Specialist : Data Analytics Practice Exam 1. Choose which one is correct or false A. Machine learning can predict the probability of rain in a region by examining known weather patterns. Answer:True. B. Machine learning can help determine whether a candidate will pass an exam without looking at historical scoring data. Answer:True C. Machine learning can be used to automatically decline financial purchases based on previous purchase activity. Answer:True 2. You believe playing video games increases a person's chance of having a heart attack In your research, you notice equal evidence in favor of this hypothesis and opposed to it. You spend hours trying to identify the problems with the evidence opposed to your hypothesis, but readily accept the evidence in favor Which type of bias are you demonstrating? A. Motivated reasoning B. Sampling bias C. Anchoring bias D. Confirmation bias 3. For which two reasons is it risky to make generalizations from limited sample data? (Choose 2.) A. Analyzing data from a smaller sample size is faster. B. A limited sample may not represent a larger population C. Findings from a smaller sample size may not be as precise D. Limited data samples are easier to collect 4. In which scenario will artificial intelligence (AI) provide the greatest benefit? A. Interpreting fundraising sales data for a college soccer team B. Predicting maintenance requirements for a international rental car company's fleet vehicles C. Recording daily sales for three stores owned by one franchise owner D. Determining the statistical mean, mode, and standard deviation of the grades for a class 5. A colleague shows you the chart below to indicate that Group A has performed significantly better than Group B on a recent assignment. You do not know the sample size or the results of statistical testing Which chart element creates the impression of a significant score difference? A. The x-axis units of measurement B. The y-axis units of measurement C. The z-axis units of measurement D. The color differentiation 6. You conduct a study to identify how many people exercise daily. You recruit all the study participants at gyms Which type of bias are you demonstrating? A. Sampling bias B. Anchoring bias C. Motivated reasoning D. Confirmation bias 7. You are reviewing a database of restaurant menu items. The table below shows a selection of the data. You need to display only items on the Dessert menu with a Type of Cake. What should you do to nondestructively limit the data display? A. Delete all data that has a Menu other than Dessert. Then delete all data that has a Type other than Cake B. Add two slicers, one for Menu and one for Type Set the Menu slicer to Dessert and the Type slicer to Cake C. Group the data by Menu and then group data on the Dessert menu by Type D. Sort the data by Menu and within each Menu, sort by Type 8. Person A has 5 coins and Person B has 10 coins. Which type of data does the number of coins represent? A. Qualitative data B. Quantitative data C. Metadata D. Ordinal data 9. Move each data structure from the list on the left to the correct description on the right A. Returns the largest value Answer:MAX() B. Returns the smallest value Answer:MIN() C. Returns the number of values Answer:COUNT() D. Returns the total of the values Answer:SUM() 10. Your company has summarized a large data set for the region you live in. You need to compare results from urban and rural communities within your region. What is the fastest way to obtain this information? A. Review data from neighboring regions. B. Aggregate the data. C. Disaggregate the data. D. Collect a new data sample