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Answer: Run gcloud bigtable instances list, gcloud redis instances list, and gcloud sql databases list. Use --filter flag with each command, and then display the results
The correct approach is to use `gcloud` commands for each service with the `--filter` flag. This allows server-side filtering, which is efficient as it reduces data transfer. Each service (Bigtable, Memorystore, Cloud SQL) has its own `gcloud` commands (`instances list` for Bigtable and Memorystore, `databases list` for Cloud SQL). By applying the user-provided filter directly via `--filter` in each command, the results are pre-filtered before combining, ensuring consistency with Google Cloud best practices for efficiency. While the Cloud SQL `databases list` command typically requires specifying an instance, the question assumes the provided commands are valid, making option D the best choice.
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How can you create a script to list Cloud Bigtable instances, Memorystore resources, and Cloud SQL databases within a Google Cloud project, while allowing users to filter results with a custom expression? What is the recommended approach for retrieving this data?
A
Use the HBase API, Redis API, and MySQL connection to retrieve database lists. Combine the results, and then apply the filter to display the results
B
Use the HBase API, Redis API, and MySQL connection to retrieve database lists. Filter the results individually, and then combine them to display the results
C
Run gcloud bigtable instances list, gcloud redis instances list, and gcloud sql databases list. Use a filter within the application, and then display the results
D
Run gcloud bigtable instances list, gcloud redis instances list, and gcloud sql databases list. Use --filter flag with each command, and then display the results
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