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Google Professional-Cloud-DevOps-Engineer Exam Syllabus Topics:

Section	Objectives
Implement security and compliance	- Compliance and governance 1. Audit logging and policy enforcement - Secure CI/CD pipelines 1. Secret and credential management 2. IAM and least privilege access
Optimize performance and continuous delivery	- System performance optimization 1. Scaling strategies and load handling - Monitoring and observability 1. Performance tuning and feedback loops 2. Cloud Monitoring and Logging
Develop and implement CI/CD pipelines	- Automate build, test, and deployment processes 1. Release management practices 2. Deployment automation strategies - Build and manage CI/CD pipelines using Google Cloud tools 1. Cloud Build pipeline design 2. Artifact repository management
Implement site reliability engineering (SRE) practices	- Define and manage SLI, SLO, and SLA 1. Error budgets and monitoring strategies - Incident management and postmortems 1. Alerting and on-call practices

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q57-Q62):

NEW QUESTION # 57
You are running a web application deployed to a Compute Engine managed instance group Ops Agent is installed on all instances You recently noticed suspicious activity from a specific IP address You need to configure Cloud Monitoring to view the number of requests from that specific IP address with minimal operational overhead. What should you do?

A. Configure the Ops Agent with a metrics receiver
B. Create a script to scrape the web server log Export the IP address request metrics to the Cloud Monitoring API
C. Configure the Ops Agent with a logging receiver Create a logs-based metric
D. Update the application to export the IP address request metrics to the Cloud Monitoring API

Answer: C

Explanation:
Explanation
The best option for configuring Cloud Monitoring to view the number of requests from a specific IP address with minimal operational overhead is to configure the Ops Agent with a logging receiver and create a logs-based metric. The Ops Agent is an agent that collects system metrics and logs from your VM instances and sends them to Cloud Monitoring and Cloud Logging. A logging receiver is a configuration that specifies which logs are collected by the Ops Agent and how they are processed. You can use a logging receiver to collect web server logs from your VM instances and send them to Cloud Logging. A logs-based metric is a metric that is extracted from log entries in Cloud Logging. You can use a logs-based metric to count the number of requests from a specific IP address by using a filter expression. You can then use Cloud Monitoring to view and analyze the logs-based metric.

NEW QUESTION # 58
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. 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.
B. 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.
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. Use the default Stackdriver Kubernetes Engine Monitoring agent configuration.

Answer: A

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 # 59
You are managing the production deployment to a set of Google Kubernetes Engine (GKE) clusters. You want to make sure only images which are successfully built by your trusted CI/CD pipeline are deployed to production. What should you do?

A. Set up the Kubernetes Engine clusters with Binary Authorization.
B. Enable Cloud Security Scanner on the clusters.
C. Enable Vulnerability Analysis on the Container Registry.
D. Set up the Kubernetes Engine clusters as private clusters.

Answer: C

NEW QUESTION # 60
You are using Stackdriver to monitor applications hosted on Google Cloud Platform (GCP). You recently deployed a new application, but its logs are not appearing on the Stackdriver dashboard.
You need to troubleshoot the issue. What should you do?

A. Confirm that the application is using the required client library and the service account key has proper permissions.
B. Confirm that port 25 has been opened in the firewall to allow messages through to Stackdriver.
C. Confirm that your account has the proper permissions to use the Stackdriver dashboard.
D. Confirm that the Stackdriver agent has been installed in the hosting virtual machine.

Answer: D

Explanation:
Explanation
https://cloud.google.com/monitoring/agent/monitoring/troubleshooting#checklist

NEW QUESTION # 61
Your company processes IOT data at scale by using Pub/Sub, App Engine standard environment, and an application written in GO. You noticed that the performance inconsistently degrades at peak load. You could not reproduce this issue on your workstation. You need to continuously monitor the application in production to identify slow paths in the code. You want to minimize performance impact and management overhead. What should you do?

A. Periodically run the go tool pprof command against the application instance. Analyze the results by using flame graphs.
B. Configure Cloud Profiler, and initialize the cloud.go@gle.com/go/profiler library in the application.
C. Install a continuous profiling tool into Compute Engine. Configure the application to send profiling data to the tool.
D. Use Cloud Monitoring to assess the App Engine CPU utilization metric.

Answer: B

NEW QUESTION # 62
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