Google Professional Data Engineer
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Your organization manages several YouTube channels as part of its digital infrastructure. You have been assigned the task of developing a process to transfer YouTube channel data to Google Cloud for the purpose of analysis. The goal is to enable your global marketing teams to conduct ANSI SQL queries and other forms of analysis on the most current YouTube channel log data. What is the best approach to set up the log data transfer into Google Cloud?
Your organization manages several YouTube channels as part of its digital infrastructure. You have been assigned the task of developing a process to transfer YouTube channel data to Google Cloud for the purpose of analysis. The goal is to enable your global marketing teams to conduct ANSI SQL queries and other forms of analysis on the most current YouTube channel log data. What is the best approach to set up the log data transfer into Google Cloud?
Explanation:
The correct answer is A. Storage Transfer Service is designed to handle large-scale data transfers, including from offsite locations, to Google Cloud Storage. Using a Cloud Storage Multi-Regional storage bucket as a final destination ensures high availability and low latency, which is crucial for world-wide access to the data. While BigQuery Data Transfer Service can transfer data related to YouTube directly to BigQuery, it does not transfer data to Cloud Storage buckets. Therefore, the most appropriate solution for transferring log data to Google Cloud in this scenario is using Storage Transfer Service to a Multi-Regional bucket.