
Dell Data Science Foundations
Domain 4Objective 7
Time Series Analysis DATA-SCIENCE-FOUNDATIONS Practice Questions (Page 5)
Part of the Advanced Analytics - Theory, Application, and Interpretation of Results for Eight Methods domain, which accounts for 40% of the DATA-SCIENCE-FOUNDATIONS exam.
26questions here
6free pages
8concepts
40%of the exam
Questions 21–25
- 21
An analyst is examining the autocorrelation function (ACF) and partial autocorrelation function (PACF) of a stationary time series. The ACF shows a gradual decay, while the PACF shows a sharp cutoff after one lag. Based on these patterns, which ARIMA model is most appropriate?
Select an answer first - 22
A retail company observes that sales peak every December and drop in January. This repeating pattern at a fixed annual interval is best described as which time series component?
Select an answer first - 23
Which component of an ARIMA model captures the dependency between an observation and a linear combination of past forecast errors?
Select an answer first - 24
What is the primary purpose of using a moving average in time series analysis?
Select an answer first - 25
A data analyst is fitting an ARIMA model to monthly sales data that shows strong seasonality with a period of 12. The analyst has already determined that first differencing is needed to achieve stationarity. Which ARIMA model specification should the analyst consider to account for the seasonal pattern?
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