IT Specialist : Data Analytics Practice Exam 1. Move each data structure from the list on the left to the correct description on the right. A. Why did it happen? Answer:Diagnostic Analytics. B. What action should we take next? Answer:Prescriptive Analytics C. What might happen in the future? Answer:Predictive Analytics D. What happened in the initial product release? Answer:Descriptive Analytics 2. Which two concepts are commonly associated with artificial intelligence (AI) in data analytics? (Choose 2) Note: You will receive partial credit for each correct selection. A. Cost-Benefit Analysis B. Automation C. Machine Learning D. Stakeholder Mapping 3. Chose which one true or false A. Data disaggregation provides a summary of the data. Answer:False. B. Data disaggregation combines data from multiple sources. Answer:False C. Data disaggregation can clarify trends and patterns among subgroups. Answer:True 4. What concept allows analysts to drill down into data and examine different levels of information that may be crucial in diagnostic analytics A. Completeness B. Granularity C. Interpretability D. Transparency 5. You need to create a data view based on aggregations for further visual analysis. Your data includes sales information for the past five years for food products at yo company's stores. Each product belongs to one category. For example, Milk belongs to the Dairy category.  Include all products and their associated categories  Include sales subtotals for each category and year  Display a grand total of sales for each category.  Create a summary of each category for every year Which two aggregation methods should you use to create the data view? (Choose 2.) Note You will receive partial credit for each correct selection A. Pivoting B. Merging C. Filtering D. Grouping 6. You run a t-test with an alpha value of 5% (a = 0.05) in order to test an alternative hypothesis (H1). You finish the analysis and discover that the p-value is 0.017. What can you conclude about the null hypothesis (HO)? A. You modify the null hypothesis (HO). B. You reject the null hypothesis (HO) C. You accept the null hypothesis (HO) D. You fail to reject the null hypothesis (H0) 7. The marketing team wants to know which market segment had the highest sales last year. Which type of data analytics should they use? A. Predictive analytics B. Descriptive analytics C. Prescriptive analytics D. Diagnostic analytics 8. What is raw data? A. Visualized data B. Summarized data C. Unprocessed data D. Purely numerical data 9. Which visualization type is commonly used to display the distribution of a continuous variable, with variable values on the x-axis and corresponding frequencies on the yaxis? Select the correct visualization type in the answer area. A. Column Chart B. Line Chart C. Histogram D. Barchart 10. Choose true 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