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)
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)
Explanation:
Correct Option: D. Data Prep
Explanation: Data Prep is specifically designed for data preparation tasks, offering a user-friendly interface and powerful capabilities to handle complex data cleaning and transformation tasks efficiently. It is fully managed, scalable, and cost-effective, making it the best choice for the given requirements.
Why other options are incorrect:
- A. Cloud Functions is not designed for data preparation but for serverless computing, lacking specialized data cleaning tools.
- B. Cloud Storage is for storing and retrieving data, not for data preparation, and lacks transformation capabilities.
- C. Kubernetes Engine is for managing containerized applications, requiring additional setup for data processing tasks, which increases operational overhead.