Question 11 of 68
Single answerCertylQ Case study - customer profiles, and tables from an on-premises MySQL database. The transaction logs and customer profiles are stored in Amazon S3. After the data is aggregated, the ML engineer must implement a solution to automatically detect anomalies in the data and to visualize the result. Which solution will meet these requirements?
AUse Amazon Athena to automatically detect the anomalies and to visualize the result.
BUse Amazon Redshift Spectrum to automatically detect the anomalies. Use Amazon QuickSight to visualize the result.
✓COption C text unavailable (OCR).
DUse AWS Batch to automatically detect the anomalies. Use Amazon QuickSight to visualize the result.
✓
Correct Answer: C
Option C text unavailable (OCR).
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Explanation
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