Analyzing and optimizing processes
Practise only this domain. 30 questions with explanations, 20 at a time.
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- A seed-stage startup with three engineers wants every commit to be built, tested and promoted through staging to production on Google Cloud, with no servers for them to patch. Which pairing is the best fit?Easy
- A payments ledger must recover within 45 minutes of a regional outage, and no committed transaction may be lost. Which disaster recovery design meets both targets?Hard
- A nightly feature-engineering job processes about 10 TB and takes six hours on a fleet of standard VMs. It tolerates restarts as long as completed partitions are kept. Which change lowers cost without changing the results?Medium
- Ad hoc analysts sometimes write queries that scan far more data than intended. The data platform lead wants any single query to fail instead of billing more than a fixed amount. Which setting provides that guardrail?Easy
- A payments engineer wants a chart and an alert that count how often a service writes a log line containing the phrase card declined, without changing the application code. What should be created?Medium
- A platform team wants a list of Compute Engine VMs whose CPU and memory usage stays low enough that a smaller machine type would suit them, based on observed utilization rather than guesswork. Which source should they query?Medium
- A startup runs ad hoc analytics in BigQuery, and query volume is unpredictable. Its finance lead wants costs that rise and fall with how much data each query reads, with no fixed monthly commitment. Which BigQuery billing approach fits?Easy
- A microservices team's log bill has grown sharply, but on-call engineers still need enough detail to diagnose incidents quickly. Which practice best balances these goals?Easy
- A startup's finance lead wants an email warning the moment the month's cloud spend reaches 80 percent of an agreed limit, and wants an earlier warning if the forecast says the limit will be exceeded. Which feature should be configured?Easy