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Google Professional Cloud DevOps Engineer 問題練習

Google Cloud Certified - Professional Cloud DevOps Engineer Exam 試験

最新更新時間: 2024/03/19,合計50問。

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Question No : 1
You support the backend of a mobile phone game that runs on a Google Kubernetes Engine (GKE) cluster. The application is serving HTTP requests from users. You need to implement a solution that will reduce the network cost .
What should you do?

正解:
Explanation:
Costs associated with a load balancer are charged to the project containing the load balancer components. Because of these benefits, container-native load balancing is the recommended solution for load balancing through Ingress. When NEGs are used with GKE Ingress, the Ingress controller facilitates the creation of all aspects of the L7 load balancer. This includes creating the virtual IP address, forwarding rules, health checks, firewall rules, and more.
https://cloud.google.com/architecture/best-practices-for-running-cost-effective-kubernetes-applications-on-gke

Question No : 2
You are responsible for the reliability of a high-volume enterprise application. A large number of users report that an important subset of the application’s functionality C a data intensive reporting feature C is consistently failing with an HTTP 500 error. When you investigate your application’s dashboards, you notice a strong correlation between the failures and a metric that represents the size of an internal queue used for generating reports. You trace the failures to a reporting backend that is experiencing high I/O wait times. You quickly fix the issue by resizing the backend’s persistent disk (PD) .
How you need to create an availability Service Level Indicator (SLI) for the report generation feature .
How would you define it?

正解:

Question No : 3
You support a web application that is hosted on Compute Engine. The application provides a booking service for thousands of users. Shortly after the release of a new feature, your monitoring dashboard shows that all users are experiencing latency at login. You want to mitigate the impact of the incident on the users of your service .
What should you do first?

正解:

Question No : 4
You support a popular mobile game application deployed on Google Kubernetes Engine (GKE) across several Google Cloud regions. Each region has multiple Kubernetes clusters. You receive a report that none of the users in a specific region can connect to the application. You want to resolve the incident while following Site Reliability Engineering practices .
What should you do first?

正解:

Question No : 5
You deploy a new release of an internal application during a weekend maintenance window when there is minimal user traffic. After the window ends, you learn that one of the new features isn't working as expected in the production environment. After an extended outage, you roll back the new release and deploy a fix. You want to modify your release process to reduce the mean time to recovery so you can avoid extended outages in the future .
What should you do? Choose 2 answers

正解:

Question No : 6
Your product is currently deployed in three Google Cloud Platform (GCP) zones with your users divided between the zones. You can fail over from one zone to another, but it causes a 10-minute service disruption for the affected users. You typically experience a database failure once per quarter and can detect it within five minutes. You are cataloging the reliability risks of a new real-time chat feature for your product.
You catalog the following information for each risk:
• Mean Time to Detect (MUD} in minutes
• Mean Time to Repair (MTTR) in minutes
• Mean Time Between Failure (MTBF) in days
• User Impact Percentage
The chat feature requires a new database system that takes twice as long to successfully fail over between zones. You want to account for the risk of the new database failing in one zone .
What would be the values for the risk of database failover with the new system?

正解:
Explanation:
https://www.atlassian.com/incident-management/kpis/common-metrics
https://linkedin.github.io/school-of-sre/

Question No : 7
You use Spinnaker to deploy your application and have created a canary deployment stage in the pipeline. Your application has an in-memory cache that loads objects at start time. You want to automate the comparison of the canary version against the production version .
How should you configure the canary analysis?

正解:
Explanation:
https://cloud.google.com/architecture/automated-canary-analysis-kubernetes-engine-spinnaker
https://spinnaker.io/guides/user/canary/best-practices/#compare-canary-against-baseline-not-against-production

Question No : 8
Your team of Infrastructure DevOps Engineers is growing, and you are starting to use
Terraform to manage infrastructure. You need a way to implement code versioning and to
share code with other team members .
What should you do?

正解:

Question No : 9
Your application artifacts are being built and deployed via a CI/CD pipeline. You want the CI/CD pipeline to securely access application secrets. You also want to more easily rotate secrets in case of a security breach .
What should you do?

正解:

Question No : 10
You support an application deployed on Compute Engine. The application connects to a Cloud SQL instance to store and retrieve data. After an update to the application, users report errors showing database timeout messages. The number of concurrent active users remained stable. You need to find the most probable cause of the database timeout .
What should you do?

正解:

Question No : 11
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?

正解:

Question No : 12
You are running an application on Compute Engine and collecting logs through Stackdriver. You discover that some personally identifiable information (Pll) is leaking into certain log entry fields. All Pll entries begin with the text userinfo. You want to capture these log entries in a secure location for later review and prevent them from leaking to Stackdriver Logging .
What should you do?

正解:
Explanation:
https://medium.com/google-cloud/fluentd-filter-plugin-for-google-cloud-data-loss-prevention-api-42bbb1308e76

Question No : 13
You manage an application that is writing logs to Stackdriver Logging. You need to give some team members the ability to export logs .
What should you do?

正解:
Explanation:
https://cloud.google.com/logging/docs/access-control

Question No : 14
Your team is designing a new application for deployment into Google Kubernetes Engine (GKE). You need to set up monitoring to collect and aggregate various application-level metrics in a centralized location. You want to use Google Cloud Platform services while minimizing the amount of work required to set up monitoring .
What should you do?

正解:
Explanation:
https://cloud.google.com/kubernetes-engine/docs/concepts/custom-and-external-metrics#custom_metrics
https://github.com/GoogleCloudPlatform/k8s-stackdriver/blob/master/custom-metrics-stackdriver-adapter/README.md
Your application can report a custom metric to Cloud Monitoring. You can configure Kubernetes to respond to these metrics and scale your workload automatically. For example, you can scale your application based on metrics such as queries per second, writes per second, network performance, latency when communicating with a different application, or other metrics that make sense for your workload. https://cloud.google.com/kubernetes-engine/docs/concepts/custom-and-external-metrics

Question No : 15
You support an application that stores product information in cached memory. For every cache miss, an entry is logged in Stackdriver Logging. You want to visualize how often a cache miss happens over time .
What should you do?

正解:
Explanation:
https://cloud.google.com/logging/docs/logs-based-metrics#counter-metric

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