GCP Professional Cloud Architect Practice Question
A financial-services firm runs a latency-sensitive trading-analytics pipeline that streams data through Pub/Sub → Dataflow → BigQuery. Overnight, the FinOps budget alert shows BigQuery querying charges have quadrupled and Dataflow network-egress costs have spiked. The on-call architect wants to use Gemini Cloud Assist to diagnose the surge quickly and obtain actionable cost-saving recommendations while avoiding disruptive changes to live jobs. Which approach best uses Gemini Cloud Assist to achieve these goals?
Use Gemini Application Design Center to regenerate the entire pipeline as Terraform and redeploy it so configuration errors become apparent.
Run gcloud beta billing reports generate-forecast, pass the resulting billing SKU forecast to Gemini, and request a summary of excessive spend drivers.
Ask Gemini to create a Looker Studio dashboard showing daily spend and then manually inspect the charts to locate anomalous services.
Export relevant Cloud Logging entries for the affected Pub/Sub, Dataflow, and BigQuery resources during the incident window and ask Gemini Cloud Assist to correlate the anomalies and propose cost-optimization actions.
Supplying Gemini Cloud Assist with focused Cloud Logging exports-such as Dataflow job logs, Pub/Sub delivery logs, and BigQuery audit logs-from the exact period of the cost spike gives the tool the telemetry it can parse. Gemini Cloud Assist analyzes log text to correlate the surge: a burst of upstream Pub/Sub messages forced Dataflow to autoscale aggressively, which in turn drove a large volume of costly BigQuery querying operations. Armed with this insight, Gemini can recommend non-disruptive remediations like introducing a staging Cloud Storage bucket for batch loads and tightening Dataflow autoscaling limits. The other approaches either provide only billing summaries, attempt a full redeployment, or rely on manual dashboard inspection-none leverage Gemini's log-based root-cause analysis and optimization capabilities as effectively.
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What is Pub/Sub and how does it contribute to the pipeline performance?
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How does Dataflow autoscaling affect costs and pipeline performance?
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What is Gemini Cloud Assist and how does it propose cost-saving recommendations?
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What is Gemini Cloud Assist?
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What is telemetry in the context of Google Cloud?
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Why did Dataflow autoscaling lead to increased network egress costs?
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GCP Professional Cloud Architect
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