Answer-first summary for fast verification
Answer: To export log entries to different storage systems, you need to create sinks that specify the destination, format, and a filter for logs to be exported.
To export log entries to different storage systems like Cloud Storage and BigQuery, you need to create sinks. Sinks define the destination, format (i.e., JSON, Avro, or other formats), and a filter for logs that you want to be exported. Once a sink is created, the logs will be exported automatically based on the specified configuration. Logs exported to Cloud Storage can be viewed not only through the Cloud Storage Console but also by using gsutil, Cloud SDK, and client libraries. Log entries can indeed be exported to BigQuery, which allows for advanced analysis and data manipulation using SQL-like queries. Although the Cloud Logging API provides the ability to read, write, and configure log entries, it is necessary to create sinks for exporting logs to Cloud Storage and BigQuery.
Author: LeetQuiz Editorial Team
Ultimate access to all questions.
In the context of managing Cloud Logging platform and viewing export logs in Cloud Storage and BigQuery in Google Cloud Platform, which of the following statements is true regarding the export of log entries to different storage systems?
A
The Cloud Logging API allows you to export logs to Cloud Storage and BigQuery in real-time, without needing to set up sinks.
B
Log entries cannot be exported to BigQuery, as it is primarily a data analysis tool and not meant for storing logs.
C
Log entries exported to Cloud Storage can only be viewed using the Cloud Storage Console.
D
To export log entries to different storage systems, you need to create sinks that specify the destination, format, and a filter for logs to be exported.
No comments yet.