Google Professional-Cloud-DevOps-Engineer Dumps

Call individual stakeholders lo explain what happened.

Develop a post-mortem to be distributed to stakeholders.

Send the Incident State Document to all the stakeholders.

Require the engineer responsible to write an apology email to all stakeholders.

Use Cloud Storage to cache intermediate artifacts.

Run multiple Jenkins agents to parallelize the build.

Use multiple smaller build steps to minimize execution time.

Use larger Cloud Build virtual machines (VMs) by using the machine-type option.

Analyze VPC flow logs along the path of the request.

Investigate the Liveness and Readiness probes for each service.

Create a Dataflow pipeline to analyze service metrics in real time.

Use a distributed tracing framework such as OpenTelemetry or Stackdriver Trace.

Use Cloud Build to trigger a Spinnaker pipeline.

Use Cloud Pub/Sub to trigger a Spinnaker pipeline.

Use a custom builder in Cloud Build to trigger a Jenkins pipeline.

Use Cloud Pub/Sub to trigger a custom deployment service running in Google
Kubernetes Engine (GKE).

Enable VPC Flow Logs on the production VPC network frontend and backend subnets only with a sample volume scale of 0.5.

Enable VPC Flow Logs on the production VPC network frontend and backend subnets only with a sample volume scale of 1.0.

Enable VPC Flow Logs on the testing and production VPC network frontend and backend subnets with a volume scale of 0.5. Apply changes in
testing before production.

Enable VPC Flow Logs on the testing and production VPC network frontend and
backend subnets with a volume scale of 1.0. Apply changes in testing before production.

Operations Lead

Engineering Lead

Communications Lead

Customer Impact Assessor

External Customer Communications Lead

• In your application, create a metric with a metricKind set to DELTA and a valueType set to DOUBLE.• In Stackdriver's Metrics Explorer, use a Slacked Bar graph to visualize the metric.

• In your application, create a metric with a metricKind set to CUMULATIVE and a
valueType set to DOUBLE.
• In Stackdriver's Metrics Explorer, use a Line graph to visualize the metric.

• In your application, create a metric with a metricKind set to gauge and a valueType set to
distribution.
• In Stackdriver's Metrics Explorer, use a Heatmap graph to visualize the metric.

• In your application, create a metric with a metricKind. set
toMETRlc_KIND_UNSPECIFIEDanda valueType set to INT64.
• In Stackdriver's Metrics Explorer, use a Stacked Area graph to visualize the metric.

Use the n1-highcpu-96 machine type in the configuration of the MIG.

Monitor results of Stackdriver Trace to determine the required amount of resources.

Validate that the resource requirements are within the available quota limits of each region.

Deploy the service in one region and use a global load balancer to route traffic to this region.

Push the images to Google Container Registry (GCR) using the gcr.io hostname.

Push the images to Google Container Registry (GCR) using the us.gcr.io hostname.

Push the images to Google Container Registry (GCR) using the eu.gcr.io hostname.

Push the images to a private image registry running on a Compute Engine instance in
the eu-west-1 region.

Install the Stackdriver Error Reporting library for Python, and then run your code on a
Compute Engine VM.

Install the Stackdriver Error Reporting library for Python, and then run your code on Google Kubernetes Engine.

Install the Stackdriver Error Reporting library for Python, and then run your code on App
Engine flexible environment.

Use the Stackdriver Error Reporting API to write errors from your application to
ReportedErrorEvent, and then generate log entries with properly formatted error messages in Stackdriver Logging.