Practice Test 3 | Google Cloud Certified Professional Data Engineer | Dumps | Mock Test
A team of data engineers wants to import a large set of data that contains clickstream logs to Bigtable. They want to test Bigtable before considering it as their final decision. Which of the following conditions should be taken into consideration for successful testing? (Choose 3 options)
A. You need to wait at least 20 minutes if you scaled up the instance before running the test.
B. Scale up the instance just before the test starts.
C. Run a heavy pre-test for several minutes before the test starts.
D. Don’t use less than 300GB of test data.
E. The test should take no longer than 10 minutes.
F. Use the development instance for testing.
Correct Answer: A, C, and D
If you’re running a performance test that depends upon Cloud Bigtable, be sure to follow these steps as you plan and execute your test:
- Use a production instance. A development instance will not give you an accurate sense of how a production instance performs under load.
- Use at least 300 GB of data. Cloud Bigtable performs best with 1 TB or more of data. However, 300 GB of data is enough to provide reasonable results in a performance test on a 3-node cluster. On larger clusters, use at least 100 GB of data per node.
- Stay below the recommended storage utilization per node.
- Before you test, run a heavy pre-test for several minutes. This step gives Cloud Bigtable a chance to balance data across your nodes based on the access patterns it observes.
- Run your test for at least 10 minutes. This step lets Cloud Bigtable optimize your data, and it helps ensure that you will test reads from disk as well as cached reads from memory.
Source(s):
Understanding BigTable Performance:
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