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

Section	Weight	Objectives
CI/CD Pipeline Development	26%	- Designing and implementing CI/CD pipelines 1. Configuring build caching strategies 2. Setting up artifact management with Artifact Registry 3. Designing pipeline architecture (Cloud Build, Jenkins, GitLab CI, etc.) 4. Configuring build triggers and webhooks 5. Implementing build automation scripts - CI/CD best practices 1. Managing secrets in CI/CD pipelines 2. Implementing shift-left testing 3. Configuring quality gates and code coverage - Containerization and Docker 1. Managing container registries 2. Creating optimized Docker images (multi-stage builds) 3. Implementing container security best practices
Reliability and Site Reliability Engineering (SRE)	24%	- SLOs, SLIs, and SLAs 1. Setting appropriate Service Level Agreements 2. Defining and implementing Service Level Objectives 3. Creating and interpreting Service Level Indicators 4. Error budget policies and management - Monitoring and observability 1. Configuring Cloud Monitoring and Logging 2. Creating dashboards for service health visibility 3. Setting up alerting policies and incident management 4. Implementing distributed tracing with Cloud Trace - Incident management 1. Configuring automated incident response 2. Implementing on-call procedures 3. Post-incident reviews and blameless postmortems
Cloud Infrastructure Automation	24%	- Infrastructure as Code (IaC) 1. Implementing with Terraform 2. Implementing immutable infrastructure patterns 3. Managing infrastructure modules and state - Deployment strategies 1. Blue-green deployments 2. Feature flags with Firebase Remote Config or LaunchDarkly 3. Rolling updates with Kubernetes 4. Canary releases and progressive rollouts - Configuration management 1. Using Ansible for configuration management 2. Managing secrets with Secret Manager 3. Implementing configuration drift detection
Microservices Architecture	14%	- Container orchestration with GKE 1. Implementing workload deployment and scaling 2. Managing pod lifecycle and resource quotas 3. Designing Kubernetes cluster architectures 4. Configuring node pools and auto-scaling - API management 1. Exposing APIs with Cloud Endpoints / Apigee 2. Implementing API versioning strategies - Service mesh and networking 1. Implementing service-to-service authentication 2. Implementing Anthos Service Mesh / Istio 3. Configuring traffic management and load balancing
Monitoring, Logging, and Debugging	12%	- Debugging and troubleshooting 1. Analyzing performance profiles with Cloud Profiler 2. Using Cloud Debugger and Error Reporting 3. Debugging with Cloud Trace distributed tracing - Log management 1. Configuring log retention policies 2. Structuring logs for efficient querying 3. Implementing log-based metrics - Cloud Operations Suite 1. Creating uptime checks and alerts 2. Configuring Cloud Monitoring metrics 3. Implementing Cloud Logging with log sinks

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q63-Q68):

NEW QUESTION # 63
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 - 120ms95th percentile - 275ms
B. 90th percentile - 100ms95th percentile - 250ms
C. 90th percentile - 250ms95th percentile - 400ms
D. 90th percentile - 150ms95th percentile - 300ms

Answer: D

Explanation:
https://sre.google/sre-book/service-level-objectives/

NEW QUESTION # 64
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. Update the application to export the IP address request metrics to the Cloud Monitoring API
B. Configure the Ops Agent with a metrics receiver
C. Create a script to scrape the web server log Export the IP address request metrics to the Cloud Monitoring API
D. Configure the Ops Agent with a logging receiver Create a logs-based metric

Answer: D

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 # 65
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 your Kubernetes cluster as a Private Cluster.
B. Configure your network services on the Standard Tier.
C. Configure the VPC as a Shared VPC Host project.
D. Configure a Google Cloud HTTP Load Balancer as Ingress.

Answer: C

NEW QUESTION # 66
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 your account has the proper permissions to use the Stackdriver dashboard.
B. Confirm that the application is using the required client library and the service account key has proper permissions.
C. Confirm that port 25 has been opened in the firewall to allow messages through to Stackdriver.
D. Confirm that the Stackdriver agent has been installed in the hosting virtual machine.

Answer: D

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

NEW QUESTION # 67
You are managing an application that exposes an HTTP endpoint without using a load balancer. The latency of the HTTP responses is important for the user experience. You want to understand what HTTP latencies all of your users are experiencing. You use Stackdriver Monitoring. What should you do?

A. * In your application, create a metric with a metricKind set to CUMULATIVE and a valueType set to DOUBLE.
* In Stackdriver's Metrics Explorer, use a Line graph to visualize the metric.
B. * In your application, create a metric with a metricKind set to gauge and a valueType set to distribution.
* In Stackdriver's Metrics Explorer, use a Heatmap graph to visualize the metric.
C. * In your application, create a metric with a metricKind set to DELTA and a valueType set to DOUBLE.
* In Stackdriver's Metrics Explorer, use a Slacked Bar graph to visualize the metric.
D. * In your application, create a metric with a metricKind. set toMETRlc_KIND_UNSPECIFIEDanda valueType set to INT64.
* In Stackdriver's Metrics Explorer, use a Stacked Area graph to visualize the metric.

Answer: C

NEW QUESTION # 68
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