Get Started Professional-Cloud-DevOps-Engineer Exam [2025] Dumps Google PDF Questions [Q36-Q54]

NO.36 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?

Assign one owner for each action item and any necessary collaborators.

Assign multiple owners for each item to guarantee that the team addresses items quickly

Assign collaborators but no individual owners to the items to keep the postmortem blameless.

Assign the team lead as the owner for all action items because they are in charge of the SRE team.

NO.37 Your company follows Site Reliability Engineering practices. You are the person in charge of Communications for a large, ongoing incident affecting your customer-facing applications. There is still no estimated time for a resolution of the outage. You are receiving emails from internal stakeholders who want updates on the outage, as well as emails from customers who want to know what is happening. You want to efficiently provide updates to everyone affected by the outage. What should you do?

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

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

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

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

NO.38 You currently store the virtual machine (VM) utilization logs in Stackdriver. You need to provide an easy-to-share interactive VM utilization dashboard that is updated in real time and contains information aggregated on a quarterly basis. You want to use Google Cloud Platform solutions. What should you do?

1. Export VM utilization logs from Stackdriver to BigOuery.2. Create a dashboard in Data Studio.3. Share the dashboard with your stakeholders.

1. Export VM utilization logs from Stackdriver to Cloud Pub/Sub.2. From Cloud Pub/Sub, send the logs to a Security Information and Event Management (SIEM) system.3. Build the dashboards in the SIEM system and share with your stakeholders.

1. Export VM utilization logs (rom Stackdriver to BigQuery.2. From BigQuery. export the logs to a CSV file.3. Import the CSV file into Google Sheets.4. Build a dashboard in Google Sheets and share it with your stakeholders.

1. Export VM utilization logs from Stackdriver to a Cloud Storage bucket.2. Enable the Cloud Storage API to pull the logs programmatically.3. Build a custom data visualization application.4. Display the pulled logs in a custom dashboard.

NO.39 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?

Configure the VPC as a Shared VPC Host project.

Configure your network services on the Standard Tier.

Configure your Kubernetes duster as a Private Cluster.

Configure a Google Cloud HTTP Load Balancer as Ingress.

NO.40 You support an e-commerce application that runs on a large Google Kubernetes Engine (GKE) cluster deployed on-premises and on Google Cloud Platform. The application consists of microservices that run in containers. You want to identify containers that are using the most CPU and memory. What should you do?

Use Stackdriver Kubernetes Engine Monitoring.

Use Prometheus to collect and aggregate logs per container, and then analyze the results in Grafana.

Use the Stackdriver Monitoring API to create custom metrics, and then organize your containers using groups.

Use Stackdriver Logging to export application logs to BigOuery. aggregate logs per container, and then analyze CPU and memory consumption.

NO.41 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 quality SLI: the ratio of non-degraded responses to total responses

An availability SLI: the ratio of healthy microservices to the total number of microservices

A freshness SLI: the proportion of widgets that have been updated within the last 10 minutes

A latency SLI: the ratio of microservice calls that complete in under 100 ms to the total number of microservice calls

NO.42 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
90th percentile of latency is 120ms and the 95th percentile of latency is 275ms over a 28-day window. What latency SLO would you recommend to the team to publish?

90th percentile – 100ms
95th percentile – 250ms

90th percentile – 120ms
95th percentile – 275ms

90th percentile – 150ms
95th percentile – 300ms

90th percentile – 250ms
95th percentile – 400ms

NO.43 You are the on-call Site Reliability Engineer for a microservice that is deployed to a Google Kubernetes Engine (GKE) Autopilot cluster. Your company runs an online store that publishes order messages to Pub/Sub and a microservice receives these messages and updates stock information in the warehousing system. A sales event caused an increase in orders, and the stock information is not being updated quickly enough. This is causing a large number of orders to be accepted for products that are out of stock You check the metrics for the microservice and compare them to typical levels.

You need to ensure that the warehouse system accurately reflects product inventory at the time orders are placed and minimize the impact on customers What should you do?

Decrease the acknowledgment deadline on the subscription

Add a virtual queue to the online store that allows typical traffic levels

Increase the number of Pod replicas

Increase the Pod CPU and memory limits

NO.44 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 – a data intensive reporting feature – 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?

As the I/O wait times aggregated across all report generation backends

As the proportion of report generation requests that result in a successful response

As the application’s report generation queue size compared to a known-good threshold

As the reporting backend PD throughout capacity compared to a known-good threshold

NO.45 You support a high-traffic web application that runs on Google Cloud Platform (GCP). You need to measure application reliability from a user perspective without making any engineering changes to it. What should you do?
Choose 2 answers

Review current application metrics and add new ones as needed.

Modify the code to capture additional information for user interaction.

Analyze the web proxy logs only and capture response time of each request.

Create new synthetic clients to simulate a user journey using the application.

Use current and historic Request Logs to trace customer interaction with the application.

NO.46 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?

Install a continuous profiling tool into Compute Engine. Configure the application to send profiling data to the tool.

Periodically run the go tool pprof command against the application instance. Analyze the results by using flame graphs.

Configure Cloud Profiler, and initialize the [email protected]/go/profiler library in the application.

Use Cloud Monitoring to assess the App Engine CPU utilization metric.

NO.47 Your application’s 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?

Configure Cloud Trace in your application.

Configure Error Reporting in your application.

Configure Cloud Profiler in your application.

Configure Google Cloud Managed Service for Prometheus in your application.

NO.48 You are responsible for creating and modifying the Terraform templates that define your Infrastructure. Because two new engineers will also be working on the same code, you need to define a process and adopt a tool that will prevent you from overwriting each other’s code. You also want to ensure that you capture all updates in the latest version. What should you do?

* Store your code in a Git-based version control system.
* Establish a process that allows developers to merge their own changes at the end of each day.
* Package and upload code lo a versioned Cloud Storage bucket as the latest master version.

* Store your code in a Git-based version control system.
* Establish a process that includes code reviews by peers and unit testing to ensure integrity and functionality before integration of code.
* Establish a process where the fully integrated code in the repository becomes the latest master version.

* Store your code as text files in Google Drive in a defined folder structure that organizes the files.
* At the end of each day. confirm that all changes have been captured in the files within the folder structure.
* Rename the folder structure with a predefined naming convention that increments the version.

* Store your code as text files in Google Drive in a defined folder structure that organizes the files.
* At the end of each day, confirm that all changes have been captured in the files within the folder structure and create a new .zip archive with a predefined naming convention.
* Upload the .zip archive to a versioned Cloud Storage bucket and accept it as the latest version.

NO.49 You support an application running on App Engine. The application is used globally and accessed from various device types. You want to know the number of connections. You are using Stackdriver Monitoring for App Engine. What metric should you use?

flex/connections/current

tcp_ssl_proxy/new_connections

tcp_ssl_proxy/open_connections

flex/instance/connections/current

NO.50 You are investigating issues in your production application that runs on Google Kubernetes Engine (GKE). You determined that the source Of the issue is a recently updated container image, although the exact change in code was not identified. The deployment is currently pointing to the latest tag. You need to update your cluster to run a version of the container that functions as intended. What should you do?

Create a new tag called stable that points to the previously working container, and change the deployment to point to the new tag.

Apply the latest tag to the previous container image, and do a rolling update on the deployment.

Build a new container from a previous Git tag, and do a rolling update on the deployment to the new container.

Alter the deployment to point to the sha2 56 digest of the previously working container.

NO.51 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?

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.

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.

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.

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.

NO.52 You are running a real-time gaming application on Compute Engine that has a production and testing environment. Each environment has their own Virtual Private Cloud (VPC) network. The application frontend and backend servers are located on different subnets in the environment’s VPC. You suspect there is a malicious process communicating intermittently in your production frontend servers. You want to ensure that network traffic is captured for analysis. What should you do?

Enable VPC Flow Logs on the production VPC network frontend and backend subnets only with a sample volume scale of 0.5.

Enable VPC Flow Logs on the production VPC network frontend and backend subnets only with a sample volume scale of 1.0.

Enable VPC Flow Logs on the testing and production VPC network frontend and backend subnets with a volume scale of 0.5. Apply changes in testing before production.

Enable VPC Flow Logs on the testing and production VPC network frontend and backend subnets with a volume scale of 1.0. Apply changes in testing before production.

NO.53 You are designing a deployment technique for your applications on Google Cloud. As part Of your deployment planning, you want to use live traffic to gather performance metrics for new versions Ofyour applications. You need to test against the full production load before your applications are launched. What should you do?

Use A/B testing with blue/green deployment.

Use shadow testing with continuous deployment.

Use canary testing with continuous deployment.

Use canary testing with rolling updates deployment,

NO.54 Your team is writing a postmortem after an incident on your external facing application Your team wants to improve the postmortem policy to include triggers that indicate whether an incident requires a postmortem Based on Site Reliability Engineenng (SRE) practices, what triggers should be defined in the postmortem policy?
Choose 2 answers

An external stakeholder asks for a postmortem

Data is lost due to an incident

An internal stakeholder requests a postmortem

The monitoring system detects that one of the instances for your application has failed

The CD pipeline detects an issue and rolls back a problematic release.

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