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The Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification exam tests the candidate's ability to design, implement, and manage a DevOps culture on the Google Cloud platform. Professional-Cloud-DevOps-Engineer exam covers a wide range of topics, including infrastructure automation, configuration management, continuous integration and delivery, monitoring and logging, and incident management. Candidates are also expected to have hands-on experience with Google Cloud tools such as Kubernetes, Terraform, and Cloud Build.
Google Professional-Cloud-DevOps-Engineer certification exam is a highly respected certification in the field of cloud computing. It is designed to validate the skills and knowledge of professionals who are responsible for building and managing cloud-based solutions using Google Cloud Platform. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification exam requires a deep understanding of DevOps practices, as well as a comprehensive knowledge of Google Cloud Platform tools and services.
NEW QUESTION # 20
You support an application deployed on Compute Engine. The application connects to a Cloud SQL instance to store and retrieve dat a. After an update to the application, users report errors showing database timeout messages. The number of concurrent active users remained stable. You need to find the most probable cause of the database timeout. What should you do?
- A. Use Cloud Security Scanner to see whether your Cloud SQL is under a Distributed Denial of Service (DDoS) attack.
- B. Use Stackdriver Profiler to visualize the resources utilization throughout the application.
- C. Check the serial port logs of the Compute Engine instance.
- D. Determine whether there is an increased number of connections to the Cloud SQL instance.
Answer: B
NEW QUESTION # 21
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?
- A. Focus on responding to internal stakeholders at least every 30 minutes. Commit to "next update" times.
- B. Provide periodic updates to all stakeholders in a timely manner. Commit to a "next update" time in all communications.
- C. Provide all internal stakeholder emails to the Incident Commander, and allow them to manage internal communications. Focus on providing responses directly to customers.
- D. Delegate the responding to internal stakeholder emails to another member of the Incident Response Team. Focus on providing responses directly to customers.
Answer: A
NEW QUESTION # 22
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
NEW QUESTION # 23
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. Review the Cloud Monitoring dashboard for the VM and choose the machine type with the lowest CPU utilization
- B. Install the Ops Agent in a fleet of VMs by using the gcloud CLI
- 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:
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 # 24
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. A synthetic client that periodically sends simulated user requests
- D. Your application servers' logs
- E. Metrics exported from the application servers
Answer: A,E
NEW QUESTION # 25
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 a Google Cloud HTTP Load Balancer as Ingress.
- B. Configure your Kubernetes duster as a Private Cluster.
- C. Configure the VPC as a Shared VPC Host project.
- D. Configure your network services on the Standard Tier.
Answer: B
NEW QUESTION # 26
You are reviewing your deployment pipeline in Google Cloud Deploy You must reduce toil in the pipeline and you want to minimize the amount of time it takes to complete an end-to-end deployment What should you do?
Choose 2 answers
- A. Add more engineers to finish the manual steps.
- B. Create a trigger to notify the required team to complete the next step when manual intervention is required
- C. Use a script to automate the creation of the deployment pipeline in Google Cloud Deploy
- D. Divide the automation steps into smaller tasks
- E. Automate promotion approvals from the development environment to the test environment
Answer: B,E
Explanation:
Explanation
The best options for reducing toil in the pipeline and minimizing the amount of time it takes to complete an end-to-end deployment are to create a trigger to notify the required team to complete the next step when manual intervention is required and to automate promotion approvals from the development environment to the test environment. A trigger is a resource that initiates a deployment when an event occurs, such as a code change, a schedule, or a manual request. You can create a trigger to notify the required team to complete the next step when manual intervention is required by using Cloud Build or Cloud Functions. This way, you can reduce the waiting time and human errors in the pipeline. A promotion approval is a process that allows you to approve or reject a deployment from one environment to another, such as from development to test. You can automate promotion approvals from the development environment to the test environment by using Google Cloud Deploy or Cloud Build. This way, you can speed up the deployment process and avoid manual steps.
NEW QUESTION # 27
Your company is developing applications that are deployed on Google Kubernetes Engine (GKE) Each team manages a different application You need to create the development and production environments for each team while you minimize costs Different teams should not be able to access other teams environments You want to follow Google-recommended practices What should you do?
- A. Create one Google Cloud project per team In each project create a cluster for development and one for production Grant the teams Identity and Access Management (1AM) access to their respective clusters
- B. Create a development and a production GKE cluster in separate projects In each cluster create a Kubernetes namespace per team and then configure Kubernetes role-based access control (RBAC) so that each team can only access its own namespace
- C. Create one Google Cloud project per team In each project create a cluster with a Kubernetes namespace for development and one for production Grant the teams Identity and Access Management (1AM) access to their respective clusters.
- D. Create a development and a production GKE cluster in separate projects In each cluster create a Kubernetes namespace per team and then configure Identity-Aware Proxy so that each team can only access its own namespace
Answer: B
Explanation:
Explanation
The best option for creating the development and production environments for each team while minimizing costs and ensuring isolation is to create a development and a production GKE cluster in separate projects, in each cluster create a Kubernetes namespace per team, and then configure Kubernetes role-based access control (RBAC) so that each team can only access its own namespace. This option allows you to use fewer clusters and projects than creating one project or cluster per team, which reduces costs and complexity. It also allows you to isolate each team's environment by using namespaces and RBAC, which prevents teams from accessing other teams' environments.
NEW QUESTION # 28
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. Use Cloud Build to include the release version tag in the application image.
- D. Reference the image digest in the source control tag.
Answer: C
NEW QUESTION # 29
Your team is designing a new application for deployment both inside and outside 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?
- A. Instrument the code using a timing library, and publish the metrics via a health check endpoint that is scraped by Stackdriver.
- B. Install an Application Performance Monitoring (APM) tool in both locations, and configure an export to a central data storage location for analysis.
- C. Import the Stackdriver Profiler package, and configure it to relay function timing data to Stackdriver for further analysis.
- D. Import the Stackdriver Debugger package, and configure the application to emit debug messages with timing information.
Answer: B
NEW QUESTION # 30
You are deploying an application that needs to access sensitive information. You need to ensure that this information is encrypted and the risk of exposure is minimal if a breach occurs. What should you do?
- A. Integrate the application with a Single sign-on (SSO) system and do not expose secrets to the application
- B. Store the encryption keys in Cloud Key Management Service (KMS) and rotate the keys frequently
- C. Inject the secret at the time of instance creation via an encrypted configuration management system.
- D. Leverage a continuous build pipeline that produces multiple versions of the secret for each instance of the application.
Answer: B
Explanation:
Explanation
https://cloud.google.com/security-key-management
NEW QUESTION # 31
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 - 100ms
95th percentile - 250ms - B. 90th percentile - 150ms
95th percentile - 300ms - C. 90th percentile - 120ms
95th percentile - 275ms - D. 90th percentile - 250ms
95th percentile - 400ms
Answer: B
Explanation:
https://sre.google/sre-book/service-level-objectives/
NEW QUESTION # 32
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?
- A. Use Stackdriver Logging to export application logs to BigOuery. aggregate logs per container, and then analyze CPU and memory consumption.
- B. Use the Stackdriver Monitoring API to create custom metrics, and then organize your containers using groups.
- C. Use Stackdriver Kubernetes Engine Monitoring.
- D. Use Prometheus to collect and aggregate logs per container, and then analyze the results in Grafana.
Answer: C
Explanation:
https://cloud.google.com/anthos/clusters/docs/on-prem/1.7/concepts/logging-and-monitoring
NEW QUESTION # 33
A third-party application needs to have a service account key to work properly When you try to export the key from your cloud project you receive an error "The organization policy constraint larn.disableServiceAccountKeyCreation is enforcedM You need to make the third-party application work while following Google-recommended security practices What should you do?
- A. Disable the service account key creation policy at the project's folder, and download the default key
- B. Remove the iam.disableServiceAccountKeyCreation policy at the organization level, and create a key.
- C. Add a rule to set the iam.disableServiceAccountKeyCreation policy to off in your project and create a key.
- D. Enable the default service account key. and download the key
Answer: C
Explanation:
Explanation
The best option for making the third-party application work while following Google-recommended security practices is to add a rule to set the iam.disableServiceAccountKeyCreation policy to off in your project and create a key. The iam.disableServiceAccountKeyCreation policy is an organization policy that controls whether service account keys can be created in a project or organization. By default, this policy is set to on, which means that service account keys cannot be created. However, you can override this policy at a lower level, such as a project, by adding a rule to set it to off. This way, you can create a service account key for your project without affecting other projects or organizations. You should also follow the best practices for managing service account keys, such as rotating them regularly, storing them securely, and deleting them when they are no longer needed.
NEW QUESTION # 34
You have a pool of application servers running on Compute Engine. You need to provide a secure solution that requires the least amount of configuration and allows developers to easily access application logs for troubleshooting. How would you implement the solution on GCP?
- A. * Deploy the Stackdriver logging agent to the application servers.
* Give the developers the IAM Logs Viewer role to access Stackdriver and view logs. - B. * Deploy the Stackdriver monitoring agent to the application servers.
* Give the developers the IAM Monitoring Viewer role to access Stackdriver and view metrics. - C. * Install the gsutil command line tool on your application servers.
* Write a script using gsutil to upload your application log to a Cloud Storage bucket, and then schedule it to run via cron every 5 minutes.
* Give the developers IAM Object Viewer access to view the logs in the specified bucket. - D. * Deploy the Stackdriver logging agent to the application servers.
* Give the developers the IAM Logs Private Logs Viewer role to access Stackdriver and view logs.
Answer: A
Explanation:
Explanation
https://cloud.google.com/logging/docs/audit#access-control
NEW QUESTION # 35
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. 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.
- B. Bucketize the request latencies into ranges, and then compute the median and 90th percentiles.
- C. Buckelize Ihe request latencies into ranges, and then compute the percentile at 100 ms.
- D. Count the number of home page requests that load in under 100 ms, and then divide by the total number of home page requests.
Answer: C
NEW QUESTION # 36
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. Grant the team members the IAM role of logging.configWriter on Cloud IAM.
- B. Create and grant a custom IAM role with the permissions logging.sinks.list and logging.sink.get.
- C. Configure Access Context Manager to allow only these members to export logs.
- D. Create an Organizational Policy in Cloud IAM to allow only these members to create log exports.
Answer: A
Explanation:
Explanation/Reference: https://cloud.google.com/logging/docs/access-control
NEW QUESTION # 37
Your team is building a service that performs compute-heavy processing on batches of data The data is processed faster based on the speed and number of CPUs on the machine These batches of data vary in size and may arrive at any time from multiple third-party sources You need to ensure that third parties are able to upload their data securely. You want to minimize costs while ensuring that the data is processed as quickly as possible What should you do?
- A. * Provide a Cloud Storage bucket so that third parties can upload batches of data, and provide appropriate identity and Access Management (1AM) access to the bucket
* Create a Cloud Function with a google, storage, object .finalise Cloud Storage trigger Write code so that the function can scale up a Compute Engine autoscaling managed instance group
* Use an image pre-loaded with the data processing software that terminates the instances when processing completes - B. * Provide a Cloud Storage bucket so that third parties can upload batches of data, and provide appropriate Identity and Access Management (1AM) access to the bucket
* Use Cloud Monitoring to detect new batches of data in the bucket and trigger a Cloud Function that processes the data
* Set a Cloud Function to use the largest CPU possible to minimize the runtime of the processing - C. * Provide a secure file transfer protocol (SFTP) server on a Compute Engine instance so that third parties can upload batches of data and provide appropriate credentials to the server
* Create a Cloud Function with a google.storage, object, finalize Cloud Storage trigger Write code so that the function can scale up a Compute Engine autoscaling managed instance group
* Use an image pre-loaded with the data processing software that terminates the instances when processing completes - D. * Provide a Cloud Storage bucket so that third parties can upload batches of data, and provide appropriate Identity and Access Management (1AM) access to the bucket
* Use a standard Google Kubernetes Engine (GKE) cluster and maintain two services one that processes the batches of data and one that monitors Cloud Storage for new batches of data
* Stop the processing service when there are no batches of data to process
Answer: A
Explanation:
Explanation
The best option for ensuring that third parties are able to upload their data securely and minimizing costs while ensuring that the data is processed as quickly as possible is to provide a Cloud Storage bucket so that third parties can upload batches of data, and provide appropriate Identity and Access Management (IAM) access to the bucket; create a Cloud Function with a google.storage.object.finalize Cloud Storage trigger; write code so that the function can scale up a Compute Engine autoscaling managed instance group; use an image pre-loaded with the data processing software that terminates the instances when processing completes. A Cloud Storage bucket is a resource that allows you to store and access data in Google Cloud. You can provide a Cloud Storage bucket so that third parties can upload batches of data securely and conveniently. You can also provide appropriate IAM access to the bucket by using roles and policies to control who can read or write data to the bucket. A Cloud Function is a serverless function that executes code in response to an event, such as a change in a Cloud Storage bucket. A google.storage.object.finalize trigger is a type of trigger that fires when a new object is created or an existing object is overwritten in a Cloud Storage bucket. You can create a Cloud Function with a google.storage.object.finalize trigger so that the function runs whenever a new batch of data is uploaded to the bucket. You can write code so that the function can scale up a Compute Engine autoscaling managed instance group, which is a group of VM instances that automatically adjusts its size based on load or custom metrics. You can use an image pre-loaded with the data processing software that terminates the instances when processing completes, which means that the instances only run when there is data to process and stop when they are done. This way, you can minimize costs while ensuring that the data is processed as quickly as possible.
NEW QUESTION # 38
You need to define SLOs for a high-traffic web application. Customers are currently happy with the application performance and availability. Based on current measurement, the 90th percentile Of latency is 160 ms and the 95th percentile of latency is 300 ms over a 28-day window. What latency SLO should you publish?
- A. 90th percentile - 300 ms
95th percentile - 450 ms - B. 90th percentile - 150 ms
95th percentile - 290 ms - C. 90th percentile - 190 ms
95th percentile - 330 ms - D. 90th percentile - 160 ms
95th percentile - 300 ms
Answer: D
Explanation:
Explanation
a latency SLO is a service level objective that specifies a target level of responsiveness for a web application1. A latency SLO can be expressed as a percentile of latency over a time window, such as the 90th percentile of latency over 28 days2. A percentile of latency is the maximum amount of time that a given percentage of requests take to complete. For example, the 90th percentile of latency is the maximum amount of time that 90% of requests take to complete3.
To define a latency SLO, you need to consider the following factors24:
The expectations and satisfaction of your customers. You want to set a latency SLO that reflects the level of performance that your customers are happy with and willing to pay for.
The current and historical measurements of your latency. You want to set a latency SLO that is based on data and realistic for your web application.
The trade-offs and costs of improving your latency. You want to set a latency SLO that balances the benefits of faster response times with the costs of engineering work, infrastructure, and complexity.
Based on these factors, the best option for defining a latency SLO for your web application is option B. Option B sets the latency SLO to match the current measurement of your latency, which means that you are meeting the expectations and satisfaction of your customers. Option B also sets a realistic and achievable target for your web application, which means that you do not need to invest extra resources or effort to improve your latency. Option B also aligns with the best practice of setting conservative SLOs, which means that you have some buffer or margin for error in case your latency fluctuates or degrades5.
NEW QUESTION # 39
You support a service with a well-defined Service Level Objective (SLO). Over the previous 6 months, your service has consistently met its SLO and customer satisfaction has been consistently high. Most of your service's operations tasks are automated and few repetitive tasks occur frequently. You want to optimize the balance between reliability and deployment velocity while following site reliability engineering best practices.
What should you do? (Choose two.)
- A. Increase the service's deployment velocity and/or risk.
- B. Change the implementation of your Service Level Indicators (SLIs) to increase coverage.
- C. Get the product team to prioritize reliability work over new features.
- D. Make the service's SLO more strict.
- E. Shift engineering time to other services that need more reliability.
Answer: A,E
Explanation:
Explanation
(https://sre.google/workbook/implementing-slos/#slo-decision-matrix)
NEW QUESTION # 40
You are developing the deployment and testing strategies for your CI/CD pipeline in Google Cloud You must be able to
* Reduce the complexity of release deployments and minimize the duration of deployment rollbacks
* Test real production traffic with a gradual increase in the number of affected users You want to select a deployment and testing strategy that meets your requirements What should you do?
- A. Rolling update deployment and A/B testing
- B. Recreate deployment and canary testing
- C. Rolling update deployment and shadow testing
- D. Blue/green deployment and canary testing
Answer: D
Explanation:
Explanation
The best option for selecting a deployment and testing strategy that meets your requirements is to use blue/green deployment and canary testing. A blue/green deployment is a deployment strategy that involves creating two identical environments, one running the current version of the application (blue) and one running the new version of the application (green). The traffic is switched from blue to green after testing the new version, and if any issues are discovered, the traffic can be switched back to blue instantly. This way, you can reduce the complexity of release deployments and minimize the duration of deployment rollbacks. A canary testing is a testing strategy that involves releasing a new version of an application to a subset of users or servers and monitoring its performance and reliability. This way, you can test real production traffic with a gradual increase in the number of affected users.
NEW QUESTION # 41
You are part of an organization that follows SRE practices and principles. You are taking over the management of a new service from the Development Team, and you conduct a Production Readiness Review (PRR). After the PRR analysis phase, you determine that the service cannot currently meet its Service Level Objectives (SLOs). You want to ensure that the service can meet its SLOs in production. What should you do next?
- A. Notify the development team that they will have to provide production support for the service.
- B. Identify recommended reliability improvements to the service to be completed before handover.
- C. djust the SLO targets to be achievable by the service so you can bring it into production.
- D. Bring the service into production with no SLOs and build them when you have collected operational data.
Answer: B
NEW QUESTION # 42
You are running an application on Compute Engine and collecting logs through Stackdriver. You discover that some personally identifiable information (Pll) is leaking into certain log entry fields. All Pll 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, create an advanced log filter matching userinfo, and then configure a log export in the Stackdriver console with Cloud Storage as a sink.
- 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. 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.
- D. 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 tog exclusion with userinfo as a filter.
Answer: B
NEW QUESTION # 43
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The Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification exam is a performance-based exam that consists of tasks that the candidate needs to complete within a set time frame. Professional-Cloud-DevOps-Engineer exam is designed to test the candidate's ability to apply their knowledge of GCP and DevOps principles to real-world scenarios. Professional-Cloud-DevOps-Engineer exam covers a wide range of topics, including building and deploying applications on GCP, designing and implementing continuous delivery pipelines, configuring monitoring and logging systems, and managing GCP resources using automation tools.
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