Practice Test 3 | Google Cloud Certified Professional Data Engineer | Dumps | Mock Test
A company uses BigTable to store their web service’s activity logs. Data is later aggregated and enriched by a Dataflow pipeline that stores enriched data to BigQuery for analysis and visualization by both business and security analysis.
It was noticed that the performance of BigTable cluster is not as per the expectations when it was considered for activity log storage. The cluster uses HDD which is a possible reason for lower performance. You decided to use SSD storage for BigTable. How would you achieve this?
A. You can change storage type on the fly from HDD to SDD. Data will be moved to a new storage type. The instance will be inaccessible by this time until the migration is complete.
B. You can change storage type on the fly from HDD to SDD. Data will be moved to a new storage type. The instance will be in read-only mode by this time until the migration is complete.
C. You need to change the instance from development to production.
D. You cannot change the BigTable storage type on the fly. You need to launch a new BigTable cluster with SSD storage and use Dataflow to export data from the existing BigTable cluster to the new one.
Correct Answer: D
You can change cluster IDs only by deleting and recreating the cluster. Also, you cannot change the instance ID or storage type, and you cannot downgrade a production instance to a development instance. To change any of these settings, you must create a new instance with your preferred settings; export your data from the old instance; import your data into the new instance; and delete the old instance.
From the explanation above, the best solution is using Dataflow to migrate data from the old BigTable cluster to the new one.
All other options are incorrect based on the above explanation.
Source(s):
BigTable – Modifying a Cloud Bigtable Instance: https://cloud.google.com/bigtable/docs/modifying-instance
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