Professional-Cloud-DevOps-Engineer Test Topics Pdf - Test Professional-Cloud-DevOps-Engineer Preparation
Professional-Cloud-DevOps-Engineer Test Topics Pdf - Test Professional-Cloud-DevOps-Engineer Preparation
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Google Professional-Cloud-DevOps-Engineer certification exam is a rigorous and comprehensive assessment of the candidate's skills and knowledge in cloud DevOps engineering. It covers a wide range of topics, including cloud infrastructure automation, containerization, CI/CD pipelines, monitoring and logging, security and compliance, and more. Professional-Cloud-DevOps-Engineer Exam is designed to test the candidate's ability to design, implement, and manage cloud-based DevOps solutions that meet the needs of modern organizations.
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There are a lot of the functions on our Professional-Cloud-DevOps-Engineer exam questions to help our candidates to reach the best condition befor they take part in the real exam. I love the statistics report function and the timing function most. The statistics report function helps the learners find the weak links and improve them accordingly. The timing function of our Professional-Cloud-DevOps-Engineer training quiz helps the learners to adjust their speed to answer the questions and keep alert and our Professional-Cloud-DevOps-Engineer study materials have set the timer.
The Professional-Cloud-DevOps-Engineer certification exam consists of multiple-choice and multiple-select questions, and candidates have two hours and thirty minutes to complete the exam. Professional-Cloud-DevOps-Engineer exam is computer-based and can be taken at any Google Cloud Partner testing center or online through the ProctorU platform. Professional-Cloud-DevOps-Engineer Exam costs $200, and candidates need to pass with a score of 70% or higher to earn their certification.
Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q197-Q202):
NEW QUESTION # 197
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. Modify the code to capture additional information for user interaction.
- B. Use current and historic Request Logs to trace customer interaction with the application.
- C. Analyze the web proxy logs only and capture response time of each request.
- D. Review current application metrics and add new ones as needed.
- E. Create new synthetic clients to simulate a user journey using the application.
Answer: B,C
Explanation:
https://cloud.google.com/architecture/adopting-slos?hl=en
NEW QUESTION # 198
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. Use the Recommender API and apply the suggested recommendations
- B. Create an Agent Policy to automatically install Ops Agent in all VMs
- C. Install the Ops Agent in a fleet of VMs by using the gcloud CLI
- D. Review the Cloud Monitoring dashboard for the VM and choose the machine type with the lowest CPU utilization
Answer: A
NEW QUESTION # 199
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. Use the default Stackdriver Kubernetes Engine Monitoring agent configuration.
- B. 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.
- C. 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.
- D. 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.
Answer: B
Explanation:
Explanation
https://cloud.google.com/architecture/customizing-stackdriver-logs-fluentd Besides the list of default logs that the Logging agent streams by default, you can customize the Logging agent to send additional logs to Logging or to adjust agent settings by adding input configurations. The configuration definitions in these sections apply to the fluent-plugin-google-cloud output plugin only and specify how logs are transformed and ingested into Cloud Logging.
https://cloud.google.com/logging/docs/agent/logging/configuration#configure
NEW QUESTION # 200
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. 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.
- 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. Create a basic log filter matching userinfo, and then configure a log export in the Stackdriver console with Cloud Storage as a sink.
Answer: D
NEW QUESTION # 201
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. Inject the secret at the time of instance creation via an encrypted configuration management system.
- B. Leverage a continuous build pipeline that produces multiple versions of the secret for each instance of the application.
- C. Store the encryption keys in Cloud Key Management Service (KMS) and rotate the keys frequently
- D. Integrate the application with a Single sign-on (SSO) system and do not expose secrets to the application
Answer: C
Explanation:
https://cloud.google.com/security-key-management
NEW QUESTION # 202
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