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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q58-Q63):

NEW QUESTION # 58
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?

• A. Configure Access Context Manager to allow only these members to export logs.
• B. Create and grant a custom IAM role with the permissions logging.sinks.list and logging.sink.get.
• C. Grant the team members the IAM role of logging.configWriter on Cloud IAM.
• D. Create an Organizational Policy in Cloud IAM to allow only these members to create log exports.

Answer: C
NEW QUESTION # 59
You are creating and assigning action items in a postmodern for an outage. The outage is over, but you need to address the root causes. You want to ensure that your team handles the action items quickly and efficiently. How should you assign owners and collaborators to action items?

• A. Assign collaborators but no individual owners to the items to keep the postmortem blameless.
• B. Assign one owner for each action item and any necessary collaborators.
• C. Assign the team lead as the owner for all action items because they are in charge of the SRE team.
• D. Assign multiple owners for each item to guarantee that the team addresses items quickly

Answer: B Explanation:
https://devops.com/when-it-disaster-strikes-part-3-conducting-a-blameless-post-mortem/
NEW QUESTION # 60
You support a high-traffic web application and want to ensure that the home page loads in a timely manner. As a first step, you decide to implement a Service Level Indicator (SLI) to represent home page request latency with an acceptable page load time set to 100 ms. What is the Google-recommended way of calculating this SLI?

• A. Buckelize Ihe request latencies into ranges, and then compute the percentile at 100 ms.
• B. Count the number of home page requests that load in under 100 ms, and then divide by the total number of home page requests.
• C. Bucketize the request latencies into ranges, and then compute the median and 90th percentiles.
• 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.

Answer: A
NEW QUESTION # 61
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?

• A. Configure the VPC as a Shared VPC Host project.
• B. Configure your network services on the Standard Tier.
• C. Configure your Kubernetes duster as a Private Cluster.
• D. Configure a Google Cloud HTTP Load Balancer as Ingress.

Answer: D 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
NEW QUESTION # 62
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?

• A. Install the OpenTelemetry client libraries in the application, configure Stackdriver as the export destination for the metrics, and then observe the application's metrics in Stackdriver.
• B. Install the Cloud Pub/Sub client libraries, push various metrics from the application to various topics, and then observe the aggregated metrics in Stackdriver.
• C. Emit all metrics in the form of application-specific log messages, pass these messages from the containers to the Stackdriver logging collector, and then observe metrics in Stackdriver.
• D. Publish various metrics from the application directly to the Slackdriver Monitoring API, and then observe these custom metrics in Stackdriver.

Answer: D 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
NEW QUESTION # 63
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