Google Professional Machine Learning Engineer
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Ultimate access to all questions.
In the context of developing a scalable and efficient machine learning pipeline for a financial services company that must comply with strict data privacy regulations, which tool or technology is BEST suited for orchestrating ML pipelines and managing workflow execution? Consider the need for programmatic workflow authoring, scheduling, monitoring, and ensuring compliance with data privacy laws. Choose the most appropriate option.
Explanation:
Correct Option: B. Apache Airflow: This is the correct choice because Apache Airflow is specifically designed for orchestrating complex workflows, including those in machine learning pipelines. It offers programmatic workflow authoring, scheduling, and monitoring capabilities, which are essential for managing ML workflows efficiently. Additionally, its open-source nature allows for customization to comply with data privacy regulations.
Incorrect Options: A. Slack: While Slack is excellent for team communication, it does not provide any functionality for workflow orchestration or management. C. Microsoft Excel: Excel is powerful for data manipulation and analysis but lacks the necessary features for orchestrating and managing ML workflows. D. Docker: Docker is crucial for containerizing applications to ensure they run consistently across environments but does not offer tools for workflow orchestration.