Google Professional-Cloud-DevOps-Engineer Daily Practice Exam New 2022 Updated 83 Questions
Use Valid Professional-Cloud-DevOps-Engineer Exam - Actual Exam Question & Answer
Audience for This Certification Exam
The target audience for the Google Professional Cloud DevOps Engineer test is formed of those individuals who want to learn how they can develop efficient operations and find a balance between the speed in delivering services and its reliability. Also, the candidates who are interested in taking this evaluation want to validate their skills in using the Google Cloud Platform at a professional level. Therefore, thanks to such an exam, applicants will learn how to develop pipelines related to software delivery, as well as become experts at monitoring and deploying services, together with managing and learning from them.
NEW QUESTION 30
You support a large service with a well-defined Service Level Objective (SLO). The development team deploys new releases of the service multiple times a week. If a major incident causes the service to miss its SLO, you want the development team to shift its focus from working on features to improving service reliability. What should you do before a major incident occurs?
- A. Add a plugin to your Jenkins pipeline that prevents new releases whenever your service is out of SLO.
- B. Negotiate with the product team to always prioritize service reliability over releasing new features.
- C. Negotiate with the development team to reduce the release frequency to no more than once a week.
- D. Develop an appropriate error budget policy in cooperation with all service stakeholders.
Answer: B
NEW QUESTION 31
Some of your production services are running in Google Kubernetes Engine (GKE) in the eu-west-1 region. Your build system runs in the us-west-1 region. You want to push the container images from your build system to a scalable registry to maximize the bandwidth for transferring the images to the cluster. What should you do?
- A. Push the images to Google Container Registry (GCR) using the us.gcr.io hostname.
- B. Push the images to Google Container Registry (GCR) using the eu.gcr.io hostname.
- C. Push the images to Google Container Registry (GCR) using the gcr.io hostname.
- D. Push the images to a private image registry running on a Compute Engine instance in the eu-west-1 region.
Answer: A
NEW QUESTION 32
You are on-call for an infrastructure service that has a large number of dependent systems. You receive an alert indicating that the service is failing to serve most of its requests and all of its dependent systems with hundreds of thousands of users are affected. As part of your Site Reliability Engineering (SRE) incident management protocol, you declare yourself Incident Commander (IC) and pull in two experienced people from your team as Operations Lead (OLJ and Communications Lead (CL). What should you do next?
- A. Look for ways to mitigate user impact and deploy the mitigations to production.
- B. Contact the affected service owners and update them on the status of the incident.
- C. Establish a communication channel where incident responders and leads can communicate with each other.
- D. Start a postmortem, add incident information, circulate the draft internally, and ask internal stakeholders for input.
Answer: C
NEW QUESTION 33
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 - 120ms
95th percentile - 275ms - C. 90th percentile - 150ms
95th percentile - 300ms - D. 90th percentile - 100ms
95th percentile - 250ms
Answer: B
NEW QUESTION 34
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?
- A. 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. - B. 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. - C. 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. - D. 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.
Answer: D
NEW QUESTION 35
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. Create a runbook on inflating the disaster recovery (DR) environment if there is growth.
- B. Pre-provision double the compute power used last season, expecting growth.
- C. Load teat the application to profile its performance for scaling.
- D. Enable AutoScaling on the production clusters, in case there is growth.
Answer: D
NEW QUESTION 36
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 Prometheus to collect and aggregate logs per container, and then analyze the results in Grafana.
- B. Use the Stackdriver Monitoring API to create custom metrics, and then organize your containers using groups.
- C. Use Stackdriver Logging to export application logs to BigOuery. aggregate logs per container, and then analyze CPU and memory consumption.
- D. Use Stackdriver Kubernetes Engine Monitoring.
Answer: A
NEW QUESTION 37
You are performing a semiannual capacity planning exercise for your flagship service. You expect a service user growth rate of 10% month-over-month over the next six months. Your service is fully containerized and runs on Google Cloud Platform (GCP). using a Google Kubernetes Engine (GKE) Standard regional cluster on three zones with cluster autoscaler enabled. You currently consume about 30% of your total deployed CPU capacity, and you require resilience against the failure of a zone. You want to ensure that your users experience minimal negative impact as a result of this growth or as a result of zone failure, while avoiding unnecessary costs. How should you prepare to handle the predicted growth?
- A. Proactively add 60% more node capacity to account for six months of 10% growth rate, and then perform a load test to make sure you have enough capacity.
- B. Verity the maximum node pool size, enable a horizontal pod autoscaler, and then perform a load test to verity your expected resource needs.
- C. Because you are at only 30% utilization, you have significant headroom and you won't need to add any additional capacity for this rate of growth.
- D. Because you are deployed on GKE and are using a cluster autoscaler. your GKE cluster will scale automatically, regardless of growth rate.
Answer: B
NEW QUESTION 38
You have a set of applications running on a Google Kubernetes Engine (GKE) cluster, and you are using Stackdriver Kubernetes Engine Monitoring. You are bringing a new containerized application required by your company into production. This application is written by a third party and cannot be modified or reconfigured. The application writes its log information to /var/log/app_messages.log, and you want to send these log entries to Stackdriver Logging. What should you do?
- A. Install Kubernetes on Google Compute Engine (GCE> and redeploy your applications. Then customize the built-in Stackdriver Logging configuration to tail the log file in the application's pods and write to Stackdriver Logging.
- B. Use the default Stackdriver Kubernetes Engine Monitoring agent configuration.
- C. Deploy a Fluentd daemonset to GKE. Then create a customized input and output configuration to tail the log file in the application's pods and write to Slackdriver Logging.
- D. Write a script to tail the log file within the pod and write entries to standard output. Run the script as a sidecar container with the application's pod. Configure a shared volume between the containers to allow the script to have read access to /var/log in the application container.
Answer: D
NEW QUESTION 39
Your company experiences bugs, outages, and slowness in its production systems. Developers use the production environment for new feature development and bug fixes. Configuration and experiments are done in the production environment, causing outages for users. Testers use the production environment for load testing, which often slows the production systems. You need to redesign the environment to reduce the number of bugs and outages in production and to enable testers to toad test new features. What should you do?
- A. Create an automated testing script in production to detect failures as soon as they occur.
- B. Secure the production environment to ensure that developers can't change it and set up one controlled update per year.
- C. Create a development environment for writing code and a test environment for configurations, experiments, and load testing.
- D. Create a development environment with smaller server capacity and give access only to developers and testers.
Answer: A
NEW QUESTION 40
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 a tag to each image in gcr.io/altostrat-images and check that this tag is present when the image is deployed.
- B. Add logic to the deployment pipeline to check that all manifests contain only images from gcr.io/altostrat-images.
- 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: A
NEW QUESTION 41
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?
- A. 1. Export VM utilization logs from Stackdriver to BigOuery.
2. Create a dashboard in Data Studio.
3. Share the dashboard with your stakeholders. - B. 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. - C. 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. - D. 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.
Answer: D
NEW QUESTION 42
You need to run a business-critical workload on a fixed set of Compute Engine instances for several months. The workload is stable with the exact amount of resources allocated to it. You want to lower the costs for this workload without any performance implications. What should you do?
- A. Purchase Committed Use Discounts.
- B. Create an Unmanaged Instance Group for the instances used to run the workload.
- C. Migrate the instances to a Managed Instance Group.
- D. Convert the instances to preemptible virtual machines.
Answer: A
NEW QUESTION 43
You support a Node.js application running on Google Kubernetes Engine (GKE) in production. The application makes several HTTP requests to dependent applications. You want to anticipate which dependent applications might cause performance issues. What should you do?
- A. Instrument all applications with Stackdriver Trace and review inter-service HTTP requests.
- B. Instrument all applications with Stackdriver Profiler.
- C. Modify the Node.js application to log HTTP request and response times to dependent applications. Use Stackdriver Logging to find dependent applications that are performing poorly.
- D. Use Stackdriver Debugger to review the execution of logic within each application to instrument all applications.
Answer: A
NEW QUESTION 44
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: 20
MTBF: 90
Impact: 50% - B. MTTD: 5
MTTR: 10
MTBF: 90
Impact: 33% - C. MTTD:5
MTTR: 20
MTBF: 90
Impact: 33% - D. MTTD:5
MTTR: 10
MTBF: 90
Impact 50%
Answer: B
NEW QUESTION 45
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Domains Tested in Final Evaluation
The candidates who succeed in passing the Google Professional Cloud DevOps Engineer validation will add an international designation under their belt that helps them consolidate their position in the company and receive generous offers from their employers. So, if applicants want to differentiate themselves from other colleagues, they should demonstrate the following skills:
- Checking and implementing strategies related to service monitoring;
- Coordinating teams to identify and manage incidents related to service development.
- Identifying issues related to service performance and implementing solutions to optimize it;
- Implementing and building CI/CD service pipelines;
- Identifying the most effective principles related to site reliability engineering and applying them to a definite service;
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