[Jun 01, 2026] Free Google Professional-Cloud-DevOps-Engineer Exam Questions and Answer
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Topics of Google Professional Cloud DevOps Engineer Exam
Candidates must know the exam topics before they start preparation because it will help them in hitting the core. Our Professional Cloud DevOps Engineer Dumps will include the following topics:
Applying site reliability engineering principles to a service
- Balance change, velocity, and reliability of the service:
- Construct feedback loops to decide what to build next
- Discover SLIs (availability, latency, etc.)
- Toil automation
- Manage a service (e.g., introduce a new service, deploy it, maintain and retire it)
- Define SLOs and understand SLAs
Building and implementing CI/CD pipelines for a service
- Deployment to hybrid and multi-cloud environments with Anthos, Spinnaker, Kubernetes
- Artifact versioning strategy with Cloud Build, Container Registry
- Design CI/CD pipelines:
- Immutable artifacts with Container Registry
Implementing service monitoring strategies
- Enabling data access logs (e.g., Cloud Audit Logs)
- Use metric explorer for ad hoc metric analysis
- Understanding the logging exclusion vs. logging export
- Manage application logs:
- Collecting logs from Compute Engine, GKE with Stackdriver Logging, Fluentd
- Set ACL to allow metric writing for custom metrics with IAM, Stackdriver Monitoring
- Sending logs to an external logging platform
- Collecting third-party and structured logs with Stackdriver Logging, Fluentd
- Sending application logs directly to Stackdriver API with Stackdriver Logging
- Implementing logs-based metrics
Optimizing service performance
- TCO considerations
- Develop a plan to optimize areas of greatest cost or lowest utilization
- Troubleshoot issues with the image/OS
- Identify resource utilization levels
- Utilize Stackdriver to identify cloud resource utilization
- Troubleshoot network issues (e.g., VPC flow logs, firewall logs, latency, view network details)
- Manage preemptible VMs
- Work with committed-use discounts
Managing service incidents
- Establish communications channels (email, IRC, Hangouts, Slack, phone, etc.)
- Identify alternatives to mitigate the issue
- Scaling response team and delegation
- Perform an investigation to isolate the most likely actual cause
- Handle requests for impact assessment
- Avoid exhaustion/burnout
- Identify probable causes of service failure
- Coordinate roles and implement communication channels during a service incident:
- Record major changes in incident state (When mitigated? When all clear? etc.)
- Evaluate symptoms against probable causes; the rank probability of cause based on observed behavior
- Define roles (incident commander, communication lead, operations lead)
- Manage stakeholder relationships
- Rotate/hand over roles
Google Professional-Cloud-DevOps-Engineer exam is a certification exam that is designed to test the knowledge and skills of professionals in the field of cloud DevOps engineering. Professional-Cloud-DevOps-Engineer exam is intended to validate the candidate’s ability to design, develop, and manage the infrastructure and automation of applications on the Google Cloud Platform. Professional-Cloud-DevOps-Engineer exam is part of the Google Cloud Certified program, which is a comprehensive certification program that validates the candidates’ expertise in Google Cloud technologies.
NEW QUESTION # 105
You use Cloud Build to build and deploy your application. You want to securely incorporate database credentials and other application secrets into the build pipeline. You also want to minimize the development effort. What should you do?
- A. Create a Cloud Storage bucket and use the built-in encryption at rest. Store the secrets in the bucket and grant Cloud Build access to the bucket.
- B. Use client-side encryption to encrypt the secrets and store them in a Cloud Storage bucket. Store a decryption key in the bucket and grant Cloud Build access to the bucket.
- C. Encrypt the secrets and store them in the application repository. Store a decryption key in a separate repository and grant Cloud Build access to the repository.
- D. Use Cloud Key Management Service (Cloud KMS) to encrypt the secrets and include them in your Cloud Build deployment configuration. Grant Cloud Build access to the KeyRing.
Answer: D
Explanation:
https://cloud.google.com/build/docs/securing-builds/use-encrypted-credentials
NEW QUESTION # 106
You are configuring connectivity across Google Kubernetes Engine (GKE) clusters in different VPCs You notice that the nodes in Cluster A are unable to access the nodes in Cluster B You suspect that the workload access issue is due to the network configuration You need to troubleshoot the issue but do not have execute access to workloads and nodes You want to identify the layer at which the network connectivity is broken What should you do?
- A. Use a debug container to run the traceroute command from Cluster A to Cluster B and from Cluster B to Cluster A Identify the common failure point
- B. Enable VPC Flow Logs in both VPCs and monitor packet drops
- C. Install a toolbox container on the node in Cluster A Confirm that the routes to Cluster B are configured appropriately
- D. Use Network Connectivity Center to perform a Connectivity Test from Cluster A to Cluster
Answer: D
Explanation:
The best option for troubleshooting the issue without having execute access to workloads and nodes is to use Network Connectivity Center to perform a Connectivity Test from Cluster A to Cluster B. Network Connectivity Center is a service that allows you to create, manage, and monitor network connectivity across Google Cloud, hybrid, and multi-cloud environments. You can use Network Connectivity Center to perform a Connectivity Test, which is a feature that allows you to test the reachability and latency between two endpoints, such as GKE clusters, VM instances, or IP addresses. By using Network Connectivity Center to perform a Connectivity Test from Cluster A to Cluster B, you can identify the layer at which the network connectivity is broken, such as the firewall, routing, or load balancing.
NEW QUESTION # 107
You work for a global organization and are running a monolithic application on Compute Engine You need to select the machine type for the application to use that optimizes CPU utilization by using the fewest number of steps You want to use historical system metncs to identify the machine type for the application to use You want to follow Google-recommended practices What should you do?
- A. Install the Ops Agent in a fleet of VMs by using the gcloud CLI
- B. Review the Cloud Monitoring dashboard for the VM and choose the machine type with the lowest CPU utilization
- C. Use the Recommender API and apply the suggested recommendations
- D. Create an Agent Policy to automatically install Ops Agent in all VMs
Answer: C
NEW QUESTION # 108
Your application images are built using Cloud Build and pushed to Google Container Registry (GCR). You want to be able to specify a particular version of your application for deployment based on the release version tagged in source control. What should you do when you push the image?
- A. Use GCR digest versioning to match the image to the tag in source control.
- B. Supply the source control tag as a parameter within the image name.
- C. Reference the image digest in the source control tag.
- D. Use Cloud Build to include the release version tag in the application image.
Answer: B
Explanation:
https://cloud.google.com/container-registry/docs/pushing-and-pulling
NEW QUESTION # 109
Your organization wants to collect system logs that will be used to generate dashboards in Cloud Operations for their Google Cloud project. You need to configure all current and future Compute Engine instances to collect the system logs and you must ensure that the Ops Agent remains up to date. What should you do?
- A. Select all VMs with an Agent status of Not detected on the Cloud Operations VMs dashboard Then select Install agents
- B. Use the gcloud CLI to install the Ops Agent on each VM listed in the Cloud Asset Inventory
- C. Use the gcloud CLI to create an Agent Policy.
- D. Install the Ops Agent on the Compute Engine image by using a startup script
Answer: C
NEW QUESTION # 110
Your company processes IOT data at scale by using Pub/Sub, App Engine standard environment, and an application written in GO. You noticed that the performance inconsistently degrades at peak load. You could not reproduce this issue on your workstation. You need to continuously monitor the application in production to identify slow paths in the code. You want to minimize performance impact and management overhead. What should you do?
- A. Use Cloud Monitoring to assess the App Engine CPU utilization metric.
- B. Install a continuous profiling tool into Compute Engine. Configure the application to send profiling data to the tool.
- C. Periodically run the go tool pprof command against the application instance. Analyze the results by using flame graphs.
- D. Configure Cloud Profiler, and initialize the [email protected]/go/profiler library in the application.
Answer: D
NEW QUESTION # 111
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 your network services on the Standard Tier.
- B. Configure your Kubernetes cluster as a Private Cluster.
- C. Configure a Google Cloud HTTP Load Balancer as Ingress.
- D. Configure the VPC as a Shared VPC Host project.
Answer: D
NEW QUESTION # 112
As a Site Reliability Engineer, you support an application written in GO that runs on Google Kubernetes Engine (GKE) in production. After releasing a new version Of the application, you notice the application runs for about 15 minutes and then restarts. You decide to add Cloud Profiler to your application and now notice that the heap usage grows constantly until the application restarts. What should you do?
- A. Increase the CPU limit in the application deployment.
- B. Increase the memory limit in the application deployment.
- C. Add Cloud Trace to the application, and redeploy.
- D. Add high memory compute nodes to the cluster.
Answer: B
Explanation:
The correct answer is B, Increase the memory limit in the application deployment.
The application is experiencing a memory leak, which means that it is allocating memory that is not freed or reused. This causes the heap usage to grow constantly until it reaches the memory limit of the pod, which triggers a restart by Kubernetes. Increasing the memory limit in the application deployment can help mitigate the problem by allowing the application to run longer before reaching the limit. However, this is not a permanent solution, as the memory leak will still occur and eventually exhaust the available memory. The best solution is to identify and fix the source of the memory leak in the application code, using tools like Cloud Profiler and pprof12.
Reference:
Using Cloud Profiler with Go, Troubleshooting memory leaks. Profiling Go Programs, Heap profiles.
NEW QUESTION # 113
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?
- A. Create a Cloud Pub/Sub push subscription to the Cloud Build cloud-builds PubSub topic to HTTP POST the build information to a webhook.
- B. Use Stackdriver Logging to create a logs-based metric from the Cloud Buitd logs. Create an Alert with a Webhook notification type.
- C. Add a new step at the end of the pipeline in Cloud Build to HTTP POST the build information to a webhook.
- D. Add logic to each Cloud Build step to HTTP POST the build information to a webhook.
Answer: C
NEW QUESTION # 114
Your application services run in Google Kubernetes Engine (GKE). You want to make sure that only images from your centrally-managed Google Container Registry (GCR) image registry in the altostrat-images project can be deployed to the cluster while minimizing development time. What should you do?
- A. Add logic to the deployment pipeline to check that all manifests contain only images from gcr.io/altostrat-images.
- B. Add a tag to each image in gcr.io/altostrat-images and check that this tag is present when the image is deployed.
- C. Create a custom builder for Cloud Build that will only push images to gcr.io/altostrat-images.
- D. Use a Binary Authorization policy that includes the whitelist name pattern gcr.io/attostrat-images/.
Answer: D
NEW QUESTION # 115
You are using Stackdriver to monitor applications hosted on Google Cloud Platform (GCP). You recently deployed a new application, but its logs are not appearing on the Stackdriver dashboard.
You need to troubleshoot the issue. What should you do?
- A. Confirm that the application is using the required client library and the service account key has proper permissions.
- B. Confirm that your account has the proper permissions to use the Stackdriver dashboard.
- C. Confirm that the Stackdriver agent has been installed in the hosting virtual machine.
- D. Confirm that port 25 has been opened in the firewall to allow messages through to Stackdriver.
Answer: C
NEW QUESTION # 116
You work for a global organization and are running a monolithic application on Compute Engine You need to select the machine type for the application to use that optimizes CPU utilization by using the fewest number of steps You want to use historical system metncs to identify the machine type for the application to use You want to follow Google-recommended practices What should you do?
- A. Install the Ops Agent in a fleet of VMs by using the gcloud CLI
- B. Review the Cloud Monitoring dashboard for the VM and choose the machine type with the lowest CPU utilization
- C. Use the Recommender API and apply the suggested recommendations
- D. Create an Agent Policy to automatically install Ops Agent in all VMs
Answer: C
Explanation:
The best option for selecting the machine type for the application to use that optimizes CPU utilization by using the fewest number of steps is to use the Recommender API and apply the suggested recommendations. The Recommender API is a service that provides recommendations for optimizing your Google Cloud resources, such as Compute Engine instances, disks, and firewalls. You can use the Recommender API to get recommendations for changing the machine type of your Compute Engine instances based on historical system metrics, such as CPU utilization. You can also apply the suggested recommendations by using the Recommender API or Cloud Console. This way, you can optimize CPU utilization by using the most suitable machine type for your application with minimal effort.
NEW QUESTION # 117
Your organization recently adopted a container-based workflow for application development. Your team develops numerous applications that are deployed continuously through an automated build pipeline to the production environment. A recent security audit alerted your team that the code pushed to production could contain vulnerabilities and that the existing tooling around virtual machine (VM) vulnerabilities no longer applies to the containerized environment. You need to ensure the security and patch level of all code running through the pipeline. What should you do?
- A. Reconfigure the existing operating system vulnerability software to exist inside the container.
- B. Set up Container Analysis to scan and report Common Vulnerabilities and Exposures.
- C. Implement static code analysis tooling against the Docker files used to create the containers.
- D. Configure the containers in the build pipeline to always update themselves before release.
Answer: B
NEW QUESTION # 118
Your applications performance in Google Cloud has degraded since the last release You suspect that downstream dependencies might be causing some requests to take longer to complete You need to investigate the issue with your application to determine the cause What should you do?
- A. Configure Error Reporting in your application
- B. Configure Cloud Trace in your application
- C. Configure Cloud Profiler in your application
- D. Configure Google Cloud Managed Service for Prometheus in your application
Answer: B
Explanation:
The best option for investigating the issue with your application's performance in Google Cloud is to configure Cloud Trace in your application. Cloud Trace is a service that allows you to collect and analyze latency data from your application. You can use Cloud Trace to trace requests across different components of your application, such as downstream dependencies, and identify where they take longer to complete. You can also use Cloud Trace to compare latency data across different versions of your application, and detect any performance degradation or improvement. By using Cloud Trace, you can diagnose and troubleshoot performance issues with your application in Google Cloud.
NEW QUESTION # 119
You created a Stackdriver chart for CPU utilization in a dashboard within your workspace project. You want to share the chart with your Site Reliability Engineering (SRE) team only. You want to ensure you follow the principle of least privilege. What should you do?
- A. Share the workspace Project ID with the SRE team. Assign the SRE team the Monitoring Viewer IAM role in the workspace project.
- B. Share the workspace Project ID with the SRE team. Assign the SRE team the Dashboard Viewer IAM role in the workspace project.
- C. Click "Share chart by URL" and provide the URL to the SRE team. Assign the SRE team the Monitoring Viewer IAM role in the workspace project.
- D. Click "Share chart by URL" and provide the URL to the SRE team. Assign the SRE team the Dashboard Viewer IAM role in the workspace project.
Answer: C
NEW QUESTION # 120
You are running a web application deployed to a Compute Engine managed instance group Ops Agent is installed on all instances You recently noticed suspicious activity from a specific IP address You need to configure Cloud Monitoring to view the number of requests from that specific IP address with minimal operational overhead. What should you do?
- A. Create a script to scrape the web server log Export the IP address request metrics to the Cloud Monitoring API
- B. Configure the Ops Agent with a logging receiver Create a logs-based metric
- C. Update the application to export the IP address request metrics to the Cloud Monitoring API
- D. Configure the Ops Agent with a metrics receiver
Answer: B
Explanation:
Explanation
The best option for configuring Cloud Monitoring to view the number of requests from a specific IP address with minimal operational overhead is to configure the Ops Agent with a logging receiver and create a logs-based metric. The Ops Agent is an agent that collects system metrics and logs from your VM instances and sends them to Cloud Monitoring and Cloud Logging. A logging receiver is a configuration that specifies which logs are collected by the Ops Agent and how they are processed. You can use a logging receiver to collect web server logs from your VM instances and send them to Cloud Logging. A logs-based metric is a metric that is extracted from log entries in Cloud Logging. You can use a logs-based metric to count the number of requests from a specific IP address by using a filter expression. You can then use Cloud Monitoring to view and analyze the logs-based metric.
NEW QUESTION # 121
You manage several production systems that run on Compute Engine in the same Google Cloud Platform (GCP) project. Each system has its own set of dedicated Compute Engine instances. You want to know how must it costs to run each of the systems. What should you do?
- A. In the Google Cloud Platform Console, use the Cost Breakdown section to visualize the costs per system.
- B. Enrich all instances with metadata specific to the system they run. Configure Stackdriver Logging to export to BigQuery, and query costs based on the metadata.
- C. Assign all instances a label specific to the system they run. Configure BigQuery billing export and query costs per label.
- D. Name each virtual machine (VM) after the system it runs. Set up a usage report export to a Cloud Storage bucket. Configure the bucket as a source in BigQuery to query costs based on VM name.
Answer: C
Explanation:
Explanation
https://cloud.google.com/billing/docs/how-to/export-data-bigquery
NEW QUESTION # 122
You are designing a system with three different environments: development, quality assurance (QA), and production. Each environment will be deployed with Terraform and has a Google Kubernetes Engine Enterprise (GKE Enterprise) cluster created so that application teams can deploy their applications. Config Sync will be used and templated to deploy infrastructure-level resources in each GKE Enterprise cluster. All users (for example, infrastructure operators and application owners) will use GitOps. How should you structure your source control repositories for both infrastructure as code (IaC) and application code?
- A. Cloud Infrastructure (Terraform) repositories are separated: different branches are different environmentsGKE Enterprise Infrastructure (Config Sync Kustomize manifests) repositories are separated: different overlay directories are different environmentsApplication (app source code) repositories are separated: different branches are different features
- B. Cloud Infrastructure (Terraform) repository is shared: different directories are different environmentsGKE Enterprise Infrastructure (Config Sync Kustomize manifests) repository is shared: different overlay directories are different environmentsApplication (app source code) repositories are separated: different branches are different features
- C. Cloud Infrastructure (Terraform) repository is shared: different branches are different environmentsGKE Enterprise Infrastructure (Config Sync Kustomize manifests) repository is shared: different overlay directories are different environmentsApplication (app source code) repository is shared: different directories are different features
- D. Cloud Infrastructure (Terraform) repository is shared: different directories are different environmentsGKE Enterprise Infrastructure (Config Sync Kustomize manifests) repositories are separated: different branches are different environmentsApplication (app source code) repositories are separated: different branches are different features
Answer: B
NEW QUESTION # 123
Your application images are built and pushed to Google Container Registry (GCR). You want to build an automated pipeline that deploys the application when the image is updated while minimizing the development effort. What should you do?
- A. Use Cloud Pub/Sub to trigger a custom deployment service running in Google Kubernetes Engine (GKE).
- B. Use Cloud Build to trigger a Spinnaker pipeline.
- C. Use Cloud Pub/Sub to trigger a Spinnaker pipeline.
- D. Use a custom builder in Cloud Build to trigger a Jenkins pipeline.
Answer: A
NEW QUESTION # 124
You need to create a Cloud Monitoring SLO for a service that will be published soon. You want to verify that requests to the service will be addressed in fewer than 300 ms at least 90% Of the time per calendar month. You need to identify the metric and evaluation method to use. What should you do?
- A. Select a latency metric for a window-based method of evaluation.
- B. Select an availability metric for a window-based method Of evaluation.
- C. Select a latency metric for a request-based method of evaluation.
- D. Select an availability metric for a request-based method of evaluation.
Answer: C
NEW QUESTION # 125
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?
- A. Install the Stackdriver Error Reporting library for Python, and then run your code on App Engine flexible environment.
- B. Install the Stackdriver Error Reporting library for Python, and then run your code on Google Kubernetes Engine.
- C. 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.
- D. Install the Stackdriver Error Reporting library for Python, and then run your code on a Compute Engine VM.
Answer: C
Explanation:
https://cloud.google.com/error-reporting/docs/formatting-error-messages
https://cloud.google.com/error-reporting/docs/reference/libraries#client-libraries-install-python no need to install error reporting library on App Engine Flex.
NEW QUESTION # 126
You support a service that recently had an outage. The outage was caused by a new release that exhausted the service memory resources. You rolled back the release successfully to mitigate the impact on users. You are now in charge of the post-mortem for the outage. You want to follow Site Reliability Engineering practices when developing the post-mortem. What should you do?
- A. Focus on developing new features rather than avoiding the outages from recurring.
- B. Use the Git history to find the related code commit. Prevent the engineer who made that commit from working on production services.
- C. Focus on identifying the contributing causes of the incident rather than the individual responsible for the cause.
- D. Plan individual meetings with all the engineers involved. Determine who approved and pushed the new release to production.
Answer: C
NEW QUESTION # 127
You support a high-traffic web application with a microservice architecture. The home page of the application displays multiple widgets containing content such as the current weather, stock prices, and news headlines. The main serving thread makes a call to a dedicated microservice for each widget and then lays out the homepage for the user. The microservices occasionally fail; when that happens, the serving thread serves the homepage with some missing content. Users of the application are unhappy if this degraded mode occurs too frequently, but they would rather have some content served instead of no content at all. You want to set a Service Level Objective (SLO) to ensure that the user experience does not degrade too much. What Service Level Indicator {SLI) should you use to measure this?
- A. A quality SLI: the ratio of non-degraded responses to total responses
- B. A freshness SLI: the proportion of widgets that have been updated within the last 10 minutes
- C. A latency SLI: the ratio of microservice calls that complete in under 100 ms to the total number of microservice calls
- D. An availability SLI: the ratio of healthy microservices to the total number of microservices
Answer: D
NEW QUESTION # 128
You are the Operations Lead for an ongoing incident with one of your services. The service usually runs at around 70% capacity. You notice that one node is returning 5xx errors for all requests. There has also been a noticeable increase in support cases from customers. You need to remove the offending node from the load balancer pool so that you can isolate and investigate the node. You want to follow Google-recommended practices to manage the incident and reduce the impact on users. What should you do?
- A. 1 . Drain traffic from the unhealthy node and remove the old node from service.
2. Add a new node to the pool, wait for the new node to report as healthy, and then serve traffic to the new node.
3. Monitor traffic to ensure that the pool is healthy and is handling traffic appropriately.
4. Communicate your actions to the incident team. - B. 1. Communicate your intent to the incident team.
2. Perform a load analysis to determine if the remaining nodes can handle the increase in traffic offloaded from the removed node, and scale appropriately.
3. When any new nodes report healthy, drain traffic from the unhealthy node, and remove the unhealthy node from service. - C. 1 . Drain traffic from the unhealthy node and remove the node from service.
2. Monitor traffic to ensure that the error is resolved and that the other nodes in the pool are handling the traffic appropriately.
3. Scale the pool as necessary to handle the new load.
4. Communicate your actions to the incident team. - D. 1. Communicate your intent to the incident team.
2. Add a new node to the pool, and wait for the new node to report as healthy.
3. When traffic is being served on the new node, drain traffic from the unhealthy node, and remove the old node from service.
Answer: B
Explanation:
Explanation
The correct answer is A. Communicate your intent to the incident team. Perform a load analysis to determine if the remaining nodes can handle the increase in traffic offloaded from the removed node, and scale appropriately. When any new nodes report healthy, drain traffic from the unhealthy node, and remove the unhealthy node from service.
This answer follows the Google-recommended practices for incident management, as described in the Chapter
9 - Incident Response, Google SRE Book1. According to this source, some of the best practices are:
Maintain a clear line of command. Designate clearly defined roles. Keep a working record of debugging and mitigation as you go. Declare incidents early and often.
Communicate your intent before taking any action that might affect the service or the incident response.
This helps to avoid confusion, duplication of work, or unintended consequences.
Perform a load analysis before removing a node from the load balancer pool, as this might affect the capacity and performance of the service. Scale the pool as necessary to handle the expected load.
Drain traffic from the unhealthy node before removing it from service, as this helps to avoid dropping requests or causing errors for users.
Answer A follows these best practices by communicating the intent to the incident team, performing a load analysis and scaling the pool, and draining traffic from the unhealthy node before removing it.
Answer B does not follow the best practice of performing a load analysis before adding or removing nodes, as this might cause overloading or underutilization of resources.
Answer C does not follow the best practice of communicating the intent before taking any action, as this might cause confusion or conflict with other responders.
Answer D does not follow the best practice of draining traffic from the unhealthy node before removing it, as this might cause errors for users.
References:
1: Chapter 9 - Incident Response, Google SRE Book
NEW QUESTION # 129
You want to share a Cloud Monitoring custom dashboard with a partner team What should you do?
- A. Provide the partner team with the dashboard URL to enable the partner team to create a copy of the dashboard
- B. Download the JSON definition of the dashboard, and send the JSON file to the partner team
- C. Copy the Monitoring Query Language (MQL) query from the dashboard; and send the MQL query to the partner team
- D. Export the metrics to BigQuery Use Looker Studio to create a dashboard, and share the dashboard with the partner team
Answer: A
Explanation:
Explanation
The best option for sharing a Cloud Monitoring custom dashboard with a partner team is to provide the partner team with the dashboard URL to enable the partner team to create a copy of the dashboard. A Cloud Monitoring custom dashboard is a dashboard that allows you to create and customize charts and widgets to display metrics, logs, and traces from your Google Cloud resources and applications. You can share a custom dashboard with a partner team by providing them with the dashboard URL, which is a link that allows them to view the dashboard in their browser. The partner team can then create a copy of the dashboard in their own project by using the Copy Dashboard option. This way, they can access and modify the dashboard without affecting the original one.
NEW QUESTION # 130
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