Alerts on Associate Data Practitioner — study topic

What you can expect on the exam

Permissions and notification delivery channels. Be ready to recognize the permissions required to create alerts and dispatch notifications through email or integrations like Slack.
Alert ownership and visibility controls. You may need to understand how alert owners manage and edit their notifications, while other users can view or duplicate alerts marked as public.
Metric threshold alerts in Cloud Monitoring. Expect to learn how metric thresholds and log-based metrics trigger alerts within Cloud Monitoring to track pipeline health and system performance.

Where this appears on the exam

2 subdomains in 2 of 4 domains

Cloud MonitoringService Cloud LoggingService LookerService dashboardsFeature log-based metricsFeature BigQueryService

AlertsFeature

BigQuery BI EngineService SpannerService Cloud SQLService

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Alerts is part of Cloud Monitoring From the official documentation: “Configure [alerts](/monitoring/alerts) in Cloud Monitoring to notify you when you are approaching quota limits or experiencing high error rates from the Model Armor API.”
Alerts works with Cloud Monitoring From the official documentation: “In addition to the predefined dashboards in Monitoring, you can create custom dashboards, set up alerts, and query the metrics through the [Cloud Monitoring API](/monitoring/api).”
Alerts is part of Looker From the official documentation: “The **Manage Alerts** user page provides information about all alerts on the Looker instance.”
log-based metrics configures Alerts From the official documentation: “You can create [log-based metrics](/logging/docs/logs-based-metrics) and use them to create alerts for upcoming expirations.”
BigQuery works with Cloud SQL From the official documentation: “Add credentials to connect BigQuery to Cloud SQL.”
BigQuery works with Cloud Logging From the official documentation: “BigQuery utilizes Cloud Logging for some of your log data.”
BigQuery works with Cloud Monitoring From the official documentation: “You can use Monitoring to export your metrics to BigQuery.”
BigQuery works with Looker From the official documentation: “Connect Looker to the BigQuery project.”
BigQuery works with Spanner From the official documentation: “Federated analytics seamlessly combine data from Spanner and other sources in BigQuery.”
Cloud Logging works with Cloud Monitoring From the official documentation: “You can store and view query-response activity logs in Cloud Logging and set up logs-based monitoring by using Cloud Monitoring.”
Cloud Logging works with Cloud SQL From the official documentation: “Database Migration Service and Cloud SQL use Cloud Logging.”
Cloud Monitoring works with Spanner From the official documentation: “Monitor Spanner metrics using Cloud Monitoring.”
BigQuery depends on Cloud Logging From the official documentation: “BigQuery utilizes Cloud Logging for some of your log data.”
BigQuery BI Engine is part of BigQuery From the official documentation: “BI Engine acceleration is part of BigQuery job processing.”
BigQuery BI Engine works with Looker From the official documentation: “The BI Engine seamlessly integrates with any business intelligence (BI) tools, including Looker.”
Cloud Monitoring works with Cloud SQL From the official documentation: “You can also get more details by viewing the Cloud Monitoring logs for your Cloud SQL destination instance.”
Cloud SQL is an alternative to Spanner From the official documentation: “If a workload requires transaction processing with strong relational consistencies, [Spanner](/spanner/docs/overview) or [Cloud SQL](/sql/docs) can be better alternatives.”
log-based metrics is part of Cloud Logging From the official documentation: “To derive metrics from log entries, create [log-based metrics](/logging/docs/logs-based-metrics) in Cloud Logging instead.”
BigQuery works with BigQuery BI Engine From the official documentation: “Integrating BI Engine with Tableau Desktop lets you build fast, interactive reports and dashboards backed by BigQuery.”
BigQuery BI Engine works with Cloud Monitoring From the official documentation: “You can monitor and configure alerts for BigQuery BI Engine with Cloud Monitoring.”
Cloud Logging is an alternative to Cloud Monitoring From the official documentation: “To see the status of your invalidation request or find a definitive list of recently submitted requests, you can use Cloud Logging or Cloud Monitoring.”
Cloud Logging works with Spanner From the official documentation: “Both Spanner and Agent Platform provide monitoring dashboards and write logs to Cloud Logging, which can contain additional details.”
Cloud Monitoring works with log-based metrics From the official documentation: “You can display log-based metrics in Cloud Monitoring charts, and alerting policies can monitor these metrics.”
Cloud SQL works with Looker From the official documentation: “To get started, see [Use Looker with Cloud SQL](/sql/docs/sqlserver/looker).”
dashboards is part of Cloud Monitoring From the official documentation: “In the Monitoring navigation panel, click **Dashboards**.”
dashboards works with log-based metrics From the official documentation: “This section describes how to create [log-based metrics](/logging/docs/logs-based-metrics) used for setting up monitoring dashboards and alerts.”
Looker works with Spanner From the official documentation: “See [Connect Spanner to Looker](/spanner/docs/partners/looker) for an overview of how Looker relates to Spanner”

Alerts

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Alerts

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