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PCDE Practice Question: Manage a solution that can span multiple database technologies
A company is using Bigtable for a high-throughput write workload. They need to monitor replication lag between clusters in a replicated setup and ensure that reads are eventually consistent. Which two configurations should they check? (Choose TWO.)
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Ensure replication is set to asynchronous (default)
Bigtable replication is asynchronous and eventually consistent by default. Replication lag can be monitored using the 'replication lag' metric in Cloud Monitoring. Consistency levels are not configurable; async is the default.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Create a replication dashboard in Data Studio
Why it's wrong here
Dashboard is not a configuration; monitoring metric is needed.
- ✗
Set the replication consistency level to 'strong'
Why it's wrong here
Bigtable only supports eventual consistency across clusters; strong consistency is not available.
- ✓
Ensure replication is set to asynchronous (default)
Why this is correct
Async replication is the default and provides eventual consistency.
- ✓
Monitor the 'bigtable.googleapis.com/cluster/replication_lag' metric
Why this is correct
This metric tracks replication lag.
- ✗
Enable synchronous replication for zero lag
Why it's wrong here
Synchronous replication is not supported.
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