Designing and Implementing a Data Science Solution on Azure — Question 6

You are with a time series dataset in Azure Machine Learning Studio.
You need to split your dataset into training and testing subsets by using the Split Data module.
Which splitting mode should you use?

Answer options

• A. Recommender Split
• B. Regular Expression Split
• C. Relative Expression Split
• D. Split Rows with the Randomized split parameter set to true

Correct answer: C

Explanation

The correct answer is C, as the Relative Expression Split is designed to handle time series data effectively by maintaining the temporal order. The other options, such as Recommender Split and Randomized split, do not appropriately address the requirements for time series datasets, which need to preserve the sequence of data points.