PCDOE practice questions 151–160

1. Question 151 · 210 in bank

   You encounter a large number of outages in the production systems you support. You receive alerts for all the outages that wake you up at night. The alerts are due to unhealthy systems that are automatically restarted within a minute. You want to set up a process that would prevent staff burnout while following Site Reliability Engineering practices. What should you do?

   • AEliminate unactionable alerts.
   • BCreate an incident report for each of the alerts.
   • CDistribute the alerts to engineers in different time zones.
   • DRedefine the related Service Level Objective so that the error budget is not exhausted.

   Show answer

   Answer: A

   Explanation

   I reckon its A, the reason is because it seems like the problem is automatically fixed with an restart of the service after a minute, therefore engineers don't really need to be woken up about these problems. If it failed multiple times or if the restart failed, then the engineer should be woken up

   Source: Adapted from community discussion — AL12

   References

   • Google Cloud documentation

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2. Question 152 · 210 in bank

   You use a multiple step Cloud Build pipeline to build and deploy your application to Google Kubernetes Engine (GKE). You want to integrate with a third-party monitoring platform by performing a HTTP POST of the build information to a webhook. You want to minimize the development effort. What should you do?

   • AAdd logic to each Cloud Build step to HTTP POST the build information to a webhook.
   • BAdd a new step at the end of the pipeline in Cloud Build to HTTP POST the build information to a webhook.
   • CUse Stackdriver Logging to create a logs-based metric from the Cloud Build logs. Create an Alert with a Webhook notification type.
   • DCreate a Cloud Pub/Sub push subscription to the Cloud Build cloud-builds PubSub topic to HTTP POST the build information to a webhook.

   Show answer

   Answer: D

   Explanation

   Ans: D Pub/Sub A: No becauseThere is not Structure attribute to create a http request in the steps and remember you want minimize the development effort. B: The same A C: minimize the development effort D: Its OK To receive messages from push subscriptions, use a webhook and process the POST requests that Pub/Sub sends to the push endpoint. For more information about processing these POST requests in App Engine, see Writing and responding to Pub/Sub messages. https://cloud.google.com/pubsub/docs/push https://cloud.google.com/build/docs/subscribe-build-notifications

   Source: Adapted from community discussion — francisco_guerra

   References

   • Google Cloud documentation
   • Google Cloud documentation

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3. Question 153 · 210 in bank

   You have migrated an e-commerce application to Google Cloud Platform (GCP). You want to prepare the application for the upcoming busy season. What should you do first to prepare for the busy season?

   • ALoad teat the application to profile its performance for scaling.
   • BEnable AutoScaling on the production clusters, in case there is growth.
   • CPre-provision double the compute power used last season, expecting growth.
   • DCreate a runbook on inflating the disaster recovery (DR) environment if there is growth.

   Show answer

   Answer: A

   Explanation

   https://cloud.google.com/architecture/black-friday-production-readiness#preparation_stage The objective of the preparation stage is to test the system's ability to scale for peak user traffic and to document the results. Completing the preparation stage results in architecture refinement to handle peak traffic more efficiently and increase system reliability. This stage also yields procedures for operations and support that help streamline processes for handling the peak event and any issues that might occur. Consider this stage as practice for the peak event from a system and operations perspective. A is exactly what mentioned above. B is the step after the preparation stage.

   Source: Adapted from community discussion — NXD

   References

   • Google Cloud documentation
   • Google Cloud documentation

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4. Question 154 · 210 in bank

   You support a web application that runs on App Engine and uses CloudSQL and Cloud Storage for data storage. After a short spike in website traffic, you notice a big increase in latency for all user requests, increase in CPU use, and the number of processes running the application. Initial troubleshooting reveals: ✑ After the initial spike in traffic, load levels returned to normal but users still experience high latency. ✑ Requests for content from the CloudSQL database and images from Cloud Storage show the same high latency. ✑ No changes were made to the website around the time the latency increased. ✑ There is no increase in the number of errors to the users. You expect another spike in website traffic in the coming days and want to make sure users don't experience latency. What should you do?

   • AUpgrade the GCS buckets to Multi-Regional.
   • BEnable high availability on the CloudSQL instances.
   • CMove the application from App Engine to Compute Engine.
   • DModify the App Engine configuration to have additional idle instances.

   Show answer

   Answer: D

   Explanation

   Correct Answer is D: Scaling App Engine scales the number of instances automatically in response to processing volume. This scaling factors in the automatic_scaling settings that are provided on a per-version basis in the configuration file. A service with basic scaling is configured by setting the maximum number of instances in the max_instances parameter of the basic_scaling setting. The number of live instances scales with the processing volume. You configure the number of instances of each version in that service's configuration file. The number of instances usually corresponds to the size of a dataset being held in memory or the desired throughput for offline work. You can adjust the number of instances of a manually-scaled version very quickly, without stopping instances that are currently running, using the Modules API set_num_instances function. https://cloud.google.com/appengine/docs/standard/python/how-instances-are-managed

   Source: Adapted from community discussion — ESP_SAP

   References

   • Google Cloud documentation
   • Google Cloud documentation
   • Google Cloud documentation
   • Google Cloud documentation

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5. Question 155 · 210 in bank

   Your application runs on Google Cloud Platform (GCP). You need to implement Jenkins for deploying application releases to GCP. You want to streamline the release process, lower operational toil, and keep user data secure. What should you do?

   • AImplement Jenkins on local workstations.
   • BImplement Jenkins on Kubernetes on-premises.
   • CImplement Jenkins on Google Cloud Functions.
   • DImplement Jenkins on Compute Engine virtual machines.

   Show answer

   Answer: D

   Explanation

   D. Implement Jenkins on Compute Engine virtual machines. This will allow you to leverage GCP's security and compliance features, and integrate with other GCP services such as Cloud Storage or Cloud SQL for storing build artifacts and user data. Additionally, using Compute Engine virtual machines for Jenkins will provide flexibility in terms of scaling and managing resources.

   Source: Adapted from community discussion — JonathanSJ

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6. Question 156 · 210 in bank

   You are working with a government agency that requires you to archive application logs for seven years. You need to configure Stackdriver to export and store the logs while minimizing costs of storage. What should you do?

   • ACreate a Cloud Storage bucket and develop your application to send logs directly to the bucket.
   • BDevelop an App Engine application that pulls the logs from Stackdriver and saves them in BigQuery.
   • CCreate an export in Stackdriver and configure Cloud Pub/Sub to store logs in permanent storage for seven years.
   • DCreate a sink in Stackdriver, name it, create a bucket on Cloud Storage for storing archived logs, and then select the bucket as the log export destination.

   Show answer

   Answer: D

   Explanation

   D is the answer. https://cloud.google.com/logging/docs/routing/overview#destinations You can use the Logs Router to route certain logs to supported destinations in any Cloud project. Logging supports the following sink destinations: - Cloud Storage: JSON files stored in Cloud Storage buckets; provides inexpensive, long-term storage.

   Source: Adapted from community discussion — zellck

   References

   • Google Cloud documentation

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7. Question 157 · 210 in bank

   You support a trading application written in Python and hosted on App Engine flexible environment. You want to customize the error information being sent to Stackdriver Error Reporting. What should you do?

   • AInstall the Stackdriver Error Reporting library for Python, and then run your code on a Compute Engine VM.
   • BInstall the Stackdriver Error Reporting library for Python, and then run your code on Google Kubernetes Engine.
   • CInstall the Stackdriver Error Reporting library for Python, and then run your code on App Engine flexible environment.
   • DUse 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.

   Show answer

   Answer: D

   Explanation

   @TNT87 - Answer is C, the link you shared has a pip install in the beginning which means Python requires installing library first. pip install --upgrade google-cloud-error-reporting

   Source: Adapted from community discussion — muk5658

   References

   • Google Cloud documentation
   • Google Cloud documentation
   • Google Cloud documentation
   • Google Cloud documentation

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8. Question 158 · 210 in bank

   You need to define Service Level Objectives (SLOs) for a high-traffic multi-region web application. Customers expect the application to always be available and have fast response times. Customers are currently happy with the application performance and availability. Based on current measurement, you observe that the 90 percentile of latency is 120ms and the 95 percentile of latency is 275ms over a 28-day window. What latency SLO would you recommend to the team to th th publish?

   • A90 percentile ג€" 100ms th 95 percentile ג€" 250ms th
   • B90 percentile ג€" 120ms th 95 percentile ג€" 275ms th
   • C90 percentile ג€" 150ms th 95 percentile ג€" 300ms th
   • D90 percentile ג€" 250ms th 95 percentile ג€" 400ms th

   Show answer

   Answer: C

   Explanation

   Picking an SLO based upon current performance can commit you to unnecessarily strict SLOs. Select slightly lower SLO. Will go wtih C

   Source: Adapted from community discussion — Nik22

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9. Question 159 · 210 in bank

   You support a large service with a well-defined Service Level Objective (SLO). The development team deploys new releases of the service multiple times a week. If a major incident causes the service to miss its SLO, you want the development team to shift its focus from working on features to improving service reliability. What should you do before a major incident occurs?

   • ADevelop an appropriate error budget policy in cooperation with all service stakeholders.
   • BNegotiate with the product team to always prioritize service reliability over releasing new features.
   • CNegotiate with the development team to reduce the release frequency to no more than once a week.
   • DAdd a plugin to your Jenkins pipeline that prevents new releases whenever your service is out of SLO.

   Show answer

   Answer: A

   Explanation

   Reason : Incident has not occurred yet, even when development team is already pushing new features multiple times a week. The option A says, to define an error budget "policy", not to define error budget(It is already present). Just simple means to bring in all stakeholders, and decide how to consume the error budget effectively that could bring balance between feature deployment and reliability.

   Source: Adapted from community discussion — KyubiBlaze

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10. Question 160 · 210 in bank

    Your company is developing applications that are deployed on Google Kubernetes Engine (GKE). Each team manages a different application. You need to create the development and production environments for each team, while minimizing costs. Different teams should not be able to access other teams' environments. What should you do?

    • ACreate one GCP Project per team. In each project, create a cluster for Development and one for Production. Grant the teams IAM access to their respective clusters.
    • BCreate one GCP Project per team. In each project, create a cluster with a Kubernetes namespace for Development and one for Production. Grant the teams IAM access to their respective clusters.
    • CCreate a Development and a Production GKE cluster in separate projects. In each cluster, create a Kubernetes namespace per team, and then configure Identity Aware Proxy so that each team can only access its own namespace.
    • DCreate a Development and a Production GKE cluster in separate projects. In each cluster, create a Kubernetes namespace per team, and then configure Kubernetes Role-based access control (RBAC) so that each team can only access its own namespace.

    Show answer

    Answer: D

    Explanation

    GKE has two access control systems: Identity and Access Management (IAM) and role-based access control (RBAC). IAM is Google Cloud's access control system for managing authentication and authorization for Google Cloud resources. You use IAM to grant users access to GKE and Kubernetes resources. RBAC is built into Kubernetes and grants granular permissions for specific resources and operations within your clusters.

    Source: Adapted from community discussion — CloudKida

    References

    • Google Cloud documentation
    • Google Cloud documentation

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PCDOE practice, question 151. 210 questions available.