Google Professional-Cloud-DevOps-Engineer Real Exam Questions Guaranteed Updated Dump from Real4dumps
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The Google Professional Cloud DevOps Engineer certification demonstrates your ability to efficiently perform the development operations that can balance service reliability and delivery speed. After completing the qualifying exam, you will be proficient in using Google Cloud Platform to build software delivery pipelines, deploy & monitor services, and manage incidents. This expertise will give you access to endless opportunities for career development. Immediately after getting certified, you can start a career as a Cloud DevOps Engineer. Additionally, you can apply for the related job roles, such as a DevOps Infrastructure Engineer, a Cloud Solutions Architect, a GCP Cloud Native Architect, a Google Cloud Platform Data Architect, a GCP Cloud Data Engineer, and more. The average salary that the certificate holders can earn ranges between $137,000 and $180,000 per year.
NEW QUESTION 46
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?
- A. Configure Stackdriver Profiler to identify and visualize when the cache misses occur based on the logs.
- B. Configure BigOuery as a sink for Stackdriver Logging. Create a scheduled query to filter the cache miss logs and write them to a separate table
- C. Link Stackdriver Logging as a source in Google Data Studio. Filler (he logs on the cache misses.
- D. Create a logs-based metric in Stackdriver Logging and a dashboard for that metric in Stackdriver Monitoring.
Answer: D
NEW QUESTION 47
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?
- A. MTTD:5
MTTR: 10
MTBF: 90
Impact 50% - B. MTTD: 5
MTTR: 10
MTBF: 90
Impact: 33% - C. MTTD:5
MTTR: 20
MTBF: 90
Impact: 50% - D. MTTD:5
MTTR: 20
MTBF: 90
Impact: 33%
Answer: A
NEW QUESTION 48
You support a production service that runs on a single Compute Engine instance. You regularly need to spend time on recreating the service by deleting the crashing instance and creating a new instance based on the relevant image. You want to reduce the time spent performing manual operations while following Site Reliability Engineering principles. What should you do?
- A. Create a Stackdriver Monitoring dashboard with SMS alerts to be able to start recreating the crashed instance promptly after it has crashed.
- B. Create a Managed Instance Group with a single instance and use health checks to determine the system status.
- C. Add a Load Balancer in front of the Compute Engine instance and use health checks to determine the system status.
- D. File a bug with the development team so they can find the root cause of the crashing instance.
Answer: B
NEW QUESTION 49
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
- A. Use current and historic Request Logs to trace customer interaction with the application.
- B. Review current application metrics and add new ones as needed.
- C. Analyze the web proxy logs only and capture response time of each request.
- D. Modify the code to capture additional information for user interaction.
- E. Create new synthetic clients to simulate a user journey using the application.
Answer: C,D
NEW QUESTION 50
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. 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.
- B. 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.
- C. Publish various metrics from the application directly to the Slackdriver Monitoring API, and then observe these custom metrics in Stackdriver.
- D. Install the Cloud Pub/Sub client libraries, push various metrics from the application to various topics, and then observe the aggregated metrics in Stackdriver.
Answer: B
NEW QUESTION 51
You are running an application on Compute Engine and collecting logs through Stackdriver. You discover that some personally identifiable information (PII) is leaking into certain log entry fields. All PII 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?
- A. Use a Fluentd filter plugin with the Stackdriver Agent to remove log entries containing userinfo, and then copy the entries to a Cloud Storage bucket.
- B. Create a basic log filter matching userinfo, and then configure a log export in the Stackdriver console with Cloud Storage as a sink.
- C. Create an advanced log filter matching userinfo, configure a log export in the Stackdriver console with Cloud Storage as a sink, and then configure a log exclusion with userinfo as a filter.
- D. Use a Fluentd filter plugin with the Stackdriver Agent to remove log entries containing userinfo, create an advanced log filter matching userinfo, and then configure a log export in the Stackdriver console with Cloud Storage as a sink.
Answer: B
NEW QUESTION 52
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 Build to trigger a Spinnaker pipeline.
- B. Use Cloud Pub/Sub to bigger a Spinnaker pipeline.
- C. Use Cloud Pub/Sub to trigger a custom deployment service running in Google Kubernetes Engine (GKE).
- D. Use a custom builder in Cloud Build to trigger Jenkins pipeline.
Answer: C
NEW QUESTION 53
You need to reduce the cost of virtual machines (VM| for your organization. After reviewing different options, you decide to leverage preemptible VM instances. Which application is suitable for preemptible VMs?
- A. A scalable in-memory caching system
- B. The organization's public-facing website
- C. A distributed, eventually consistent NoSQL database cluster with sufficient quorum
- D. A GPU-accelerated video rendering platform that retrieves and stores videos in a storage bucket
Answer: D
NEW QUESTION 54
You support a multi-region web service running on Google Kubernetes Engine (GKE) behind a Global HTTP'S Cloud Load Balancer (CLB). For legacy reasons, user requests first go through a third-party Content Delivery Network (CDN). which then routes traffic to the CLB. You have already implemented an availability Service Level Indicator (SLI) at the CLB level. However, you want to increase coverage in case of a potential load balancer misconfiguration. CDN failure, or other global networking catastrophe. Where should you measure this new SLI?
Choose 2 answers
- A. GKE health checks for your application servers
- B. Instrumentation coded directly in the client
- C. Metrics exported from the application servers
- D. A synthetic client that periodically sends simulated user requests
- E. Your application servers' logs
Answer: B,D
NEW QUESTION 55
You are running an application in a virtual machine (VM) using a custom Debian image. The image has the Stackdriver Logging agent installed. The VM has the cloud-platform scope. The application is logging information via syslog. You want to use Stackdriver Logging in the Google Cloud Platform Console to visualize the logs. You notice that syslog is not showing up in the "All logs" dropdown list of the Logs Viewer. What is the first thing you should do?
- A. SSH to the VM and execute the following commands on your VM: ps ax I grep fluentd
- B. Install the most recent version of the Stackdriver agent.
- C. Look for the agent's test log entry in the Logs Viewer.
- D. Verify the VM service account access scope includes the monitoring.write scope.
Answer: A
Explanation:
https://cloud.google.com/compute/docs/access/service-accounts#associating_a_service_account_to_an_instance
NEW QUESTION 56
You have migrated an e-commerce application to Google Cloud Platform (GCP). You want to prepare the application for the upcoming busy season. What should you do first to prepare for the busy season?
- A. Load teat the application to profile its performance for scaling.
- B. Enable AutoScaling on the production clusters, in case there is growth.
- C. Create a runbook on inflating the disaster recovery (DR) environment if there is growth.
- D. Pre-provision double the compute power used last season, expecting growth.
Answer: A
Explanation:
https://cloud.google.com/blog/topics/retail/preparing-for-peak-holiday-season-while-wfh
NEW QUESTION 57
You need to deploy a new service to production. The service needs to automatically scale using a Managed Instance Group (MIG) and should be deployed over multiple regions. The service needs a large number of resources for each instance and you need to plan for capacity. What should you do?
- A. Deploy the service in one region and use a global load balancer to route traffic to this region.
- B. Validate that the resource requirements are within the available quota limits of each region.
- C. Use the n1-highcpu-96 machine type in the configuration of the MIG.
- D. Monitor results of Stackdriver Trace to determine the required amount of resources.
Answer: C
NEW QUESTION 58
You are writing a postmortem for an incident that severely affected users. You want to prevent similar incidents in the future. Which two of the following sections should you include in the postmortem? (Choose two.)
- A. Your opinion of the incident's severity compared to past incidents
- B. A list of employees responsible for causing the incident
- C. Copies of the design documents for all the services impacted by the incident
- D. A list of action items to prevent a recurrence of the incident
- E. An explanation of the root cause of the incident
Answer: B,E
NEW QUESTION 59
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. 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.
- B. Publish various metrics from the application directly to the Slackdriver Monitoring API, and then observe these custom metrics in Stackdriver.
- C. 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.
- D. Install the Cloud Pub/Sub client libraries, push various metrics from the application to various topics, and then observe the aggregated metrics in Stackdriver.
Answer: B
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 60
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?
- A. 90th percentile - 250ms
95th percentile - 400ms - B. 90th percentile - 100ms
95th percentile - 250ms - C. 90th percentile - 150ms
95th percentile - 300ms - D. 90th percentile - 120ms
95th percentile - 275ms
Answer: D
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 your Kubernetes duster as a Private Cluster.
- B. Configure your network services on the Standard Tier.
- C. Configure the VPC as a Shared VPC Host project.
- 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
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?
- A. Compare the canary with the average performance of a sliding window of previous production versions.
- B. Compare the canary with the existing deployment of the current production version.
- C. Compare the canary with a new deployment of the previous production version.
- D. Compare the canary with a new deployment of the current production version.
Answer: A
NEW QUESTION 63
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?
- A. Configure the vertical pod autoscaler in GKE and enable the cluster autoscaler to scale the cluster as pods expand.
- B. Install the Stackdriver custom metrics adapter and configure a horizontal pod autoscaler to use the number of requests provided by the GCLB.
- C. Configure the horizontal pod autoscaler to use the average response time from the Liveness and Readiness probes.
- D. Expose the NGINX stats endpoint and configure the horizontal pod autoscaler to use the request metrics exposed by the NGINX deployment.
Answer: D
NEW QUESTION 64
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The Google Professional Cloud DevOps Engineer certification is designed to equip the specialists with the expertise required to perform the following technical tasks: applying the principles of site reliability engineering to services, optimizing service performance, implementing the strategies for service monitoring, building and implementing CI/CD pipelines for services, as well as managing service incidents. To get the certificate, the candidates need to complete a single exam covering a wide range of knowledge and skills.
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