PROFESSIONAL-CLOUD-ARCHITECT · Question #10
Your company wants to try out the cloud with low risk. They want to archive approximately 100 TB of their log data to the cloud and test the analytics features available to them there, while also reta
The correct answer is A. Load logs into Google BigQuery. E. Upload log files into Google Cloud Storage.. A is correct because BigQuery is the fully managed cloud data warehouse for analytics and supports the analytics requirement. B is not correct because Cloud SOL does not support the expected 100 TB Additionally, Cloud SQL is a relational database and not the best fit for time-ser
Question
Options
- ALoad logs into Google BigQuery.
- BLoad logs into Google Cloud SQL.
- CImport logs into Google Stackdriver.
- DInsert logs into Google Cloud Bigtable.
- EUpload log files into Google Cloud Storage.
How the community answered
(23 responses)- A91% (21)
- C4% (1)
- D4% (1)
Explanation
A is correct because BigQuery is the fully managed cloud data warehouse for analytics and supports the analytics requirement. B is not correct because Cloud SOL does not support the expected 100 TB Additionally, Cloud SQL is a relational database and not the best fit for time-series log data formats C Is not correct because Stackdriver is optimized for monitoring, error reporting, and debugging instead of analytics queries. D is not correct because Cloud Bigtable is optimized for read-write latency and analytics throughput not analytics querying and reporting. E is correct because Cloud Storage provides the Coldline storage class to support long-term storage with infrequent access, which would support the long-term disaster recovery backup
Topics
Community Discussion
No community discussion yet for this question.