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

Section	Weight	Objectives
Topic 1: Optimizing performance and cost	17%	- Balance cost, performance, and reliability 1. Make tradeoff decisions based on data 2. Plan capacity and scaling 3. Optimize over time - Apply FinOps practices 1. Right-size resources and eliminate waste 2. Monitor and analyze cloud costs 3. Use spot instances and committed use discounts - Improve system performance 1. Use caching and content delivery 2. Tune applications and infrastructure 3. Optimize resource allocation
Topic 2: Building and implementing CI/CD pipelines	25%	- Design CI/CD pipelines 1. Plan pipelines for apps, infrastructure, ML workloads 2. Integrate artifact management 3. Support hybrid/multi-cloud deployment - Implement and secure pipelines 1. Enforce security scanning and compliance checks 2. Manage pipeline secrets and credentials 3. Automate build, test, and deployment stages - Optimize and maintain pipelines 1. Monitor pipeline performance 2. Handle rollbacks and versioning 3. Improve speed and reliability
Topic 3: Bootstrapping and maintaining a Google Cloud organization	20%	- Design resource hierarchy 1. Define IAM policies and access control 2. Plan shared networking and connectivity 3. Organize resources by project/folder/application - Manage configuration and deployment 1. Enforce consistency across environments 2. Use Infrastructure as Code tools 3. Automate resource provisioning - Set up governance and compliance 1. Configure audit logging and monitoring 2. Implement organization policies 3. Manage resource quotas and limits
Topic 4: Implementing observability and troubleshooting	20%	- Troubleshoot complex issues 1. Isolate problems across layers 2. Trace requests end-to-end 3. Analyze performance and latency - Optimize observability strategy 1. Reduce noise and prioritize signals 2. Integrate observability into development 3. Scale monitoring for large environments - Build monitoring and logging systems 1. Use Cloud Monitoring, Cloud Logging, Cloud Trace 2. Collect and analyze metrics, logs, traces 3. Create dashboards and alerts
Topic 5: Applying site reliability engineering practices	18%	- Manage incidents and outages 1. Implement improvements to prevent recurrence 2. Perform postmortems and root cause analysis 3. Detect and respond to issues quickly - Define reliability goals 1. Align reliability with business needs 2. Establish SLIs, SLOs, SLAs 3. Use error budgets to balance change and stability - Design for resilience 1. Plan redundancy and fault tolerance 2. Test failure scenarios and recovery 3. Automate remediation and self-healing

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q200-Q205):

NEW QUESTION # 200
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. 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. Use the default Stackdriver Kubernetes Engine Monitoring agent configuration.

Answer: C

NEW QUESTION # 201
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 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.
B. 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.
C. 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.
D. 1. Export VM utilization logs from Stackdriver to BigOuery.2. Create a dashboard in Data Studio.3. Share the dashboard with your stakeholders.

Answer: D

NEW QUESTION # 202
You are managing an application that runs in Compute Engine The application uses a custom HTTP server to expose an API that is accessed by other applications through an internal TCP/UDP load balancer A firewall rule allows access to the API port from 0.0.0-0/0. You need to configure Cloud Logging to log each IP address that accesses the API by using the fewest number of steps What should you do Bret?

A. Enable VPC Flow Logs on the subnet
B. Enable logging on the firewall rule
C. Install the Ops Agent on the Compute Engine instances.
D. Enable Packet Mirroring on the VPC

Answer: B

Explanation:
The best option for configuring Cloud Logging to log each IP address that accesses the API by using the fewest number of steps is to enable logging on the firewall rule. A firewall rule is a rule that controls the traffic to and from your Compute Engine instances. You can enable logging on a firewall rule to capture information about the traffic that matches the rule, such as source and destination IP addresses, protocols, ports, and actions. You can use Cloud Logging to view and export the firewall logs to other destinations, such as BigQuery, for further analysis.

NEW QUESTION # 203
Your team is preparing to launch a new API in Cloud Run. The API uses an OpenTelemetry agent to send distributed tracing data to Cloud Trace to monitor the time each request takes. The team has noticed inconsistent trace collection. You need to resolve the issue. What should you do?

A. Use an HTTP health check.
B. Configure CPU to be always-allocated.
C. Configure CPU to be allocated only during request processing.
D. Increase the CPU limit in Cloud Run from 2 to 4.

Answer: B

NEW QUESTION # 204
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. Provide all internal stakeholder emails to the Incident Commander, and allow them to manage internal communications. Focus on providing responses directly to customers.
B. Delegate the responding to internal stakeholder emails to another member of the Incident Response Team. Focus on providing responses directly to customers.
C. Provide periodic updates to all stakeholders in a timely manner. Commit to a "next update" time in all communications.
D. Focus on responding to internal stakeholders at least every 30 minutes. Commit to "next update" times.

Answer: C

NEW QUESTION # 205
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