GCP DevOps Certification Dumps

This article briefly explains the GCP DevOps Certification, including exam insights, preparation strategies, and sample GCP DevOps Certification exam questions.

1. What is the Google Cloud DevOps Certification?

The Professional Cloud DevOps Engineer Certification is a performance-based credential designed for individuals who implement site reliability practices, automate workflows, and monitor GCP environments. It demonstrates proficiency in:

• Designing CI/CD pipelines using tools like Cloud Build and Artifact Registry.
• Managing scalable infrastructure with Kubernetes Engine and Compute Engine.
• Ensuring system reliability via Cloud Monitoring, Logging, and Error Reporting.
• Balancing service reliability with cost and performance.

1.1 Exam Overview

• Code: Google-Cloud-Professional-DevOps-Engineer
• Format: Multiple-choice and performance-based labs (2 hours).
• Cost: $200 (USD), with discounts for Google Cloud partners.
• Prerequisites: 3+ years of industry experience, including 1+ year on GCP.

2. Key Domains Tested in the DevOps Engineer Exam

1. Site Reliability Engineering (SRE) Principles
   Learn how to implement SLAs, SLOs, and SLIs while balancing reliability with development velocity.
2. CI/CD Automation
   Master GCP-native tools like Cloud Build, Spinnaker, and Terraform for seamless deployments.
3. Monitoring and Incident Management
   Configure Cloud Monitoring dashboards, set alerts, and debug using Cloud Logging.
4. Infrastructure as Code (IaC)
   Automate resource provisioning with Deployment Manager and third-party tools.

3. How to Prepare for the Google Cloud DevOps Exam

1. Leverage Official Resources
   • Enroll in Google’s “Preparing for the Professional Cloud DevOps Engineer Exam” Coursera course.
   • Study the exam guide for detailed domain breakdowns.
2. Hands-On Practice
   • Use Qwiklabs or Google Cloud Skills Boost for scenario-based labs.
   • Build projects like a serverless CI/CD pipeline or a monitored Kubernetes cluster.
3. Join Study Groups
   Engage with communities on Reddit (r/googlecloud) or DevOps forums for peer insights.
4. Mock Exams
   Test your knowledge with practice exams from platforms.

4. Top Benefits of Becoming a Certified GCP DevOps Engineer

1. High Demand, High Salary
   Certified DevOps Engineers earn an average of 140,000–160,000 annually (source: Glassdoor 2024).
2. Industry Recognition
   Google Cloud certifications are trusted by enterprises like Spotify, PayPal, and Target.
3. Career Flexibility
   Roles span Cloud Engineer, SRE, Platform Engineer, and DevOps Consultant.
4. Access to Google’s Partner Ecosystem
   Certification unlocks networking opportunities with Google Cloud partners and events.

GCP DevOps Certification Dumps

Q1. 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?

1. Review current application metrics and add new ones as needed.
2. Modify the code to capture additional information for user interaction.
3. Analyze the web proxy logs only and capture the response time of each request.✔️
4. Create new synthetic clients to simulate a user journey using the application.
5. Use current and historic Request Logs to trace customer interaction with the application.✔️

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Q2. You manage an application that writes logs to Stackdriver Logging. You need to give some team members the ability to export logs. What should you do?

1. Grant the team members the IAM role of logging.configWriter onCloud IAM.✔️
2. Configure Access Context Manager to allow only these members to export logs.
3. Create and grant a custom IAM role with the permissions logging.sinks.list and logging.sink.get.
4. Create an Organizational Policy in Cloud IAM to allow only these members to create log exports.

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Q3. 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?

1. Create a custom builder for Cloud Build that will only push images to gcr.io/altostrat-images.
2. Use a Binary Authorization policy that includes the whitelist name pattern gcr.io/altostrat-images/.✔️
3. Add logic to the deployment pipeline to check that all manifests contain only images from gcr.io/altostrat-images.
4. Add a tag to each image in gcr.io/altostrat-images and check that this tag is present when the image is deployed.

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Q4. Your team has recently deployed an NGINX-based application into Google Kubernetes Engine (GKE) and has exposed it to the public via an HTTP Google Cloud Load Balancer (GCLB) ingress. You want to scale the deployment of the application’s frontend using an appropriate Service Level Indicator (SLI). What should you do?

1. Configure the horizontal pod autoscaler to use the average response time from the Liveness and Readiness probes.
2. Configure the vertical pod autoscaler in GKE and enable the cluster autoscaler to scale the cluster as pods expand.
3. Install the Stackdriver custom metrics adapter and configure a horizontal pod autoscaler to use the number of requests provided by the GCLB.✔️
4. Expose the NGINX stats endpoint and configure the horizontal pod autoscaler to use the request metrics exposed by the NGINX deployment.

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Q5. Your company follows Site Reliability Engineering practices. You are the Incident Commander for a new, customer-impacting incident. You need to immediately assign two incident management roles to assist you in effective incident response. What roles should you assign?

1. Operations Lead✔️
2. Engineering Lead
3. Communications Lead✔️
4. Customer Impact Assessor
5. External Customer Communications Lead

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Q6. You support an application running on GCP and want to configure SMS notifications to your team for the most critical alerts in Stackdriver Monitoring. You have already identified the alerting policies you want to configure for this. What should you do?

1. Download and configure a third-party integration between Stackdriver Monitoring and an SMS gateway. Ensure that your team members add their SMS/phone numbers to the external tool.
2. Select the Webhook notifications option for each alerting policy, andconfigure it to use a third-party integration tool. Ensure that your team members add their SMS/phone numbers to the external tool.
3. Ensure that your team members set their SMS/phone numbers in their Stackdriver Profile. Select the SMS notification option for each alerting policy and then select the appropriate SMS/phone numbers from the list.✔️
4. Configure a Slack notification for each alerting policy. Set up a Slack-to-SMS integration to send SMS messages when Slack messages are received. Ensure that your team members add their SMS/phone numbers to the external integration.

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Q7. You are managing an application that exposes an HTTP endpoint without using a load balancer. The latency of the HTTP responses is important for the user experience. You want to understand what HTTP latencies all of your users are experiencing. You use Stackdriver Monitoring. What should you do?

1. In your application, create a metric with a metricKind set to DELTA and a valueType set to DOUBLE.
   In Stackdriver’s Metrics Explorer, use a Stacked Bar graph to visualize the metric.
2. In your application, create a metric with a metricKind set to CUMULATIVE and a valueType set to DOUBLE.
   In Stackdriver’s Metrics Explorer, use a Line graph to visualize the metric.
3. In your application, create a metric with a metricKind set to GAUGE and a valueType set to DISTRIBUTION.
   In Stackdriver’s Metrics Explorer, use a Heatmap graph to visualize the metric.✔️
4. In your application, create a metric with a metricKind set to METRIC_KIND_UNSPECIFIED and a valueType set to INT64.
   In Stackdriver’s Metrics Explorer, use a Stacked Area graph to visualize the metric.

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Q8. Your team is designing a new application for deployment both inside and outside the Google Cloud Platform (GCP). You need to collect detailed metrics such as system resource utilization. You want to use centralized GCP services while minimizing the amount of work required to set up this collection system. What should you do?

1. Import the Stackdriver Profiler package, and configure it to relay function timing data to Stackdriver for further analysis.✔️
2. Import the Stackdriver Debugger package, and configure the application to emit debug messages with timing information.
3. Instrument the code using a timing library, and publish the metrics via a health check endpoint that is scraped by Stackdriver.
4. Install an Application Performance Monitoring (APM) tool in both locations, and configure an export to a central data storage location for analysis.

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Q9. You need to reduce the cost of virtual machines (VMs) for your organization. After reviewing different options, you decide to leverage preemptible VM instances. Which application is suitable for preemptible VMs?

1. A scalable in-memory caching system.
2. The organization’s public-facing website.
3. A distributed, eventually consistent NoSQL database cluster with sufficient quorum.
4. A GPU-accelerated video rendering platform that retrieves and stores videos in a storage bucket.✔️

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Q10. 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 a Kubernetes cluster in the production environment. The security auditor is concerned that developers or operators could circumvent automated testing and push code changes to production without approval. What should you do to enforce approvals?

1. Configure the build system with protected branches that require pull request approval.
2. Use an Admission Controller to verify that incoming requests originate from approved sources.
3. Leverage Kubernetes Role-Based Access Control (RBAC) to restrict access to only approved users.
4. Enable binary authorization inside the Kubernetes cluster and configure the build pipeline as an attestor.✔️

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Q11. You are helping with the design of an e-commerce application. The web application receives web requests and stores sales transactions in a database. A batch job runs every hour to trigger analysis of sales numbers, available inventory, and forecasted sales numbers. You want to identify minimal Service Level Indicators (SLIs) for the application to ensure that forecasted numbers are based on the latest sales numbers. Which SLIs should you set for the application?

1. Web Application – Quality
   Database – Availability
   Batch Job – Coverage
2. Web Application – Latency
   Database – Latency
   Batch Job – Throughput
3. Web Application – Availability
   Database – Availability
   Batch Job – Freshness✔️
4. Web Application – Availability, Quality
   Database – Durability
   Batch Job – Coverage

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Q12. You are deploying an application to a Kubernetes cluster that requires a username and password to connect to another service. When you deploy the application, you want to ensure that the credentials are used securely in multiple environments with minimal code changes. What should you do?

1. Bundle the credentials with the code inside the container and secure the container registry.
2. Store the credentials as a Kubernetes Secret and let the application access it via environment variables at runtime.✔️
3. Leverage a CI/CD pipeline to update the variables at build time and inject them into a templated Kubernetes application manifest.
4. Store the credentials as a Kubernetes ConfigMap and let the application access it via environment variables at runtime.

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Q13. You are running a production application on Compute Engine. You want to monitor the key metrics of CPU, Memory, and Disk I/O time. You want to ensure that the metrics are visible to the team and will be explorable if an issue occurs. What should you do?

1. Set up log-based metrics based on your application logs to identify errors.
2. Export key metrics to a Google Cloud Function and then analyze them for outliers.
3. Set up alerts in Stackdriver Monitoring for key metrics breaching defined thresholds.✔️
4. Create a Dashboard with key metrics and indicators that can be viewed by the team.✔️
5. Export key metrics to BigQuery and then run hourly queries on the metrics to identify outliers.

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Q14. You work with a video rendering application that publishes small tasks as messages to a Cloud Pub/Sub topic. You need to deploy the application that will execute these tasks on multiple virtual machines (VMs). Each task takes less than 1 hour to complete. The rendering is expected to be completed within a month. You need to minimize rendering costs. What should you do?

1. Deploy the application as a managed instance group.
2. Deploy the application as a managed instance group. Configure a Committed Use Discount for the amount of CPU and memory required.
3. Deploy the application as a managed instance group with Preemptible VMs.✔️
4. Deploy the application as a managed instance group with Preemptible VMs. Configure a Committed Use Discount for the amount of CPU and memory required.

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Q15. You are designing a streaming pipeline for ingesting player interaction data for a mobile game. You want the pipeline to handle out-of-order data delayed up to 15 minutes on a per-player basis and exponential growth in global users. What should you do?

1. Design a Dataflow streaming pipeline with session windowing and a minimum gap duration of 15 minutes. Use “individual player” as the key. Use Pub/Sub as a message bus for ingestion.✔️
2. Design a Dataflow streaming pipeline with session windowing and a minimum gap duration of 15 minutes. Use “individual player” as the key. Use Apache Kafka as a message bus for ingestion.
3. Design a Dataflow streaming pipeline with a single global window of 15 minutes. Use Pub/Sub as a message bus for ingestion.
4. Design a Dataflow streaming pipeline with a single global window of 15 minutes. Use Apache Kafka as a message bus for ingestion.

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