DA0-001 Question #56: Real Exam Question with Answer & Explanation

Question

Given the following data: Which of the following BEST describes the data set?

Options

• AThere is data bias.
• BThe data is incomplete.
• CThe data is inconsistent.
• DThe data is outliers.

Explanation

Outliers are data points that significantly deviate from the majority of the data, potentially indicating errors or unusual events within the dataset.

Common mistakes.

• A. Data bias refers to systemic errors that favor certain outcomes or observations over others, which is a different concept from individual data points being extreme.
• B. Incomplete data means there are missing values, which is distinct from values being present but unusually high or low.
• C. Inconsistent data refers to contradictions within the dataset or lack of uniformity, which is different from individual points being far from the central tendency.

Concept tested. Data quality - outliers

Reference. https://learn.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/detect-outliers?view=azureml-mlops

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