Which is not a valid reason for poor Cloud Bigtable performance?
Answer(s): C
The Cloud Bigtable cluster doesn't have enough nodes. If your Cloud Bigtable cluster is overloaded,adding more nodes can improve performance. Use the monitoring tools to check whether the cluster is overloaded.
https://cloud.google.com/bigtable/docs/performance
Which is the preferred method to use to avoid hotspotting in time series data in Bigtable?
Answer(s): A
By default, prefer field promotion. Field promotion avoids hotspotting in almost all cases, and it tends to make it easier to design a row key that facilitates queries.
https://cloud.google.com/bigtable/docs/schema-design-time- series#ensure_that_your_row_key_avoids_hotspotting
When you design a Google Cloud Bigtable schema it is recommended that you _________.
All operations are atomic at the row level. For example, if you update two rows in a table, it's possible that one row will be updated successfully and the other update will fail. Avoid schema designs that require atomicity across rows.
https://cloud.google.com/bigtable/docs/schema-design#row-keys
Which of the following is NOT a valid use case to select HDD (hard disk drives) as the storage for Google Cloud Bigtable?
For example, if you plan to store extensive historical data for a large number of remote-sensing devices and then use the data to generate daily reports, the cost savings for HDD storage may justify the performance tradeoff. On the other hand, if you plan to use the data to display a real-time dashboard, it probably would not make sense to use HDD storage--reads would be much more frequent in this case, and reads are much slower with HDD storage.
https://cloud.google.com/bigtable/docs/choosing-ssd-hdd
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madhan Commented on June 16, 2023 next question EUROPEAN UNION
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