Google Professional Machine Learning Engineer
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In the context of developing a scalable and compliant data pipeline for a financial services company, which of the following best explains why logging is considered essential? Choose the two most correct options.
A
To ensure data encryption at rest and in transit, meeting regulatory requirements.
B
To provide a comprehensive audit trail of pipeline activities, facilitating debugging and compliance with financial regulations.
C
To significantly enhance the data processing speed, enabling real-time analytics.
D
To automatically reduce operational costs by optimizing resource usage based on log analysis.
E
Both B and D are correct because logging not only aids in compliance and debugging but also in identifying opportunities for cost savings through resource optimization.