Google Professional Machine Learning Engineer
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In the context of preparing a large dataset for machine learning, you are tasked with selecting the most efficient Google Cloud service that not only allows for the cleaning and preprocessing of data but also supports complex transformations and validations. The solution must be cost-effective, scalable, and fully managed to reduce operational overhead. Which of the following services best meets these requirements? (Choose one correct option)
A
Cloud Functions: A serverless computing platform that can trigger data processing tasks but lacks specialized tools for data cleaning and preprocessing.
B
Cloud Storage: An object storage service ideal for storing and retrieving large datasets but does not provide built-in capabilities for data preparation.
C
Kubernetes Engine: A managed Kubernetes service that offers flexibility for deploying custom data processing applications but requires significant setup and management effort.
D
Data Prep: A fully managed cloud-based data preparation service designed specifically for cleaning, validating, and transforming large datasets with an intuitive interface and powerful processing capabilities.