Microsoft Azure Data Engineer Associate - DP-203
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You are performing data exploratory analysis on a large dataset to identify patterns and anomalies. What tools and techniques would you use to efficiently analyze the data, and how would you ensure that the findings are reliable and actionable?
You are performing data exploratory analysis on a large dataset to identify patterns and anomalies. What tools and techniques would you use to efficiently analyze the data, and how would you ensure that the findings are reliable and actionable?
Simulated
Explanation:
Using a combination of data mining and machine learning algorithms provides a comprehensive approach to data exploratory analysis. This approach allows for the identification of patterns, anomalies, and insights that are reliable and actionable, leveraging the power of advanced analytics tools to uncover valuable information from the dataset.