Professional-Cloud-DevOps-Engineer Practice Exam Questions and Answers

A.  

Operations Lead

B.  

Engineering Lead

C.  

Communications Lead

D.  

Customer Impact Assessor

E.  

External Customer Communications Lead

A.  

Buckelize Ihe request latencies into ranges, and then compute the percentile at 100 ms.

B.  

Bucketize the request latencies into ranges, and then compute the median and 90th percentiles.

C.  

Count the number of home page requests that load in under 100 ms, and then divide by the total number of home page requests.

D.  

Count the number of home page requests that load in under 100 ms. and then divide by the total number of all web application requests.

A.  

• In your application, create a metric with a metricKind set to DELTA and a valueType set to DOUBL

E.  

• In Stackdriver's Metrics Explorer, use a Slacked Bar graph to visualize the metric.

B.  

• In your application, create a metric with a metricKind set to CUMULATIVE and a valueType set to DOUBL

E.  

• In Stackdriver's Metrics Explorer, use a Line graph to visualize the metric.

C.  

• 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.

D.  

• 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.

A.  

Use the filter-record-transformer Fluentd filter plugin to remove the fields from the log entries in flight.

B.  

Use the fluent-plugin-record-reformer Fluentd output plugin to remove the fields from the log entries in flight.

C.  

Wait for the application developers to patch the application, and then verify that the log entries are no longer exposing PII.

D.  

Stage log entries to Cloud Storage, and then trigger a Cloud Function to remove the fields and write the entries to Stackdriver via the Stackdriver Logging API.

A.  

Upgrade the GCS buckets to Multi-Regional.

B.  

Enable high availability on the CloudSQL instances.

C.  

Move the application from App Engine to Compute Engine.

D.  

Modify the App Engine configuration to have additional idle instances.

A.  

Add logic to each Cloud Build step to HTTP POST the build information to a webhook.

B.  

Add a new step at the end of the pipeline in Cloud Build to HTTP POST the build information to a webhook.

C.  

Use Stackdriver Logging to create a logs-based metric from the Cloud Buitd logs. Create an Alert with a Webhook notification type.

D.  

Create a Cloud Pub/Sub push subscription to the Cloud Build cloud-builds PubSub topic to HTTP POST the build information to a webhook.

A.  

A scalable in-memory caching system

B.  

The organization's public-facing website

C.  

A distributed, eventually consistent NoSQL database cluster with sufficient quorum

D.  

A GPU-accelerated video rendering platform that retrieves and stores videos in a storage bucket

A.  

Focus on responding to internal stakeholders at least every 30 minutes. Commit to "next update" times.

B.  

Provide periodic updates to all stakeholders in a timely manner. Commit to a "next update" time in all communications.

C.  

Delegate the responding to internal stakeholder emails to another member of the Incident Response Team. Focus on providing responses directly to customers.

D.  

Provide all internal stakeholder emails to the Incident Commander, and allow them to manage internal communications. Focus on providing responses directly to customers.

A.  

Look for ways to mitigate user impact and deploy the mitigations to production.

B.  

Contact the affected service owners and update them on the status of the incident.

C.  

Establish a communication channel where incident responders and leads can communicate with each other.

D.  

Start a postmortem, add incident information, circulate the draft internally, and ask internal stakeholders for input.

A.  

Verity the maximum node pool size, enable a horizontal pod autoscaler, and then perform a load test to verity your expected resource needs.

B.  

Because you are deployed on GKE and are using a cluster autoscaler. your GKE cluster will scale automatically, regardless of growth rate.

C.  

Because you are at only 30% utilization, you have significant headroom and you won't need to add any additional capacity for this rate of growth.

D.  

Proactively add 60% more node capacity to account for six months of 10% growth rate, and then perform a load test to make sure you have enough capacity.