Professional-Cloud-DevOps-Engineer Valid Test Syllabus | Professional-Cloud-DevOps-Engineer Exam Certification

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

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

>> Professional-Cloud-DevOps-Engineer Valid Test Syllabus <<

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q75-Q80):

NEW QUESTION # 75
Your team is designing a new application for deployment both inside and outside Google Cloud Platform (GCP). You need to collect detailed metrics such as system resource utilization. You want to use centralized GCP services while minimizing the amount of work required to set up this collection system. What should you do?

A. Install an Application Performance Monitoring (APM) tool in both locations, and configure an export to a central data storage location for analysis.
B. Import the Stackdriver Profiler package, and configure it to relay function timing data to Stackdriver for further analysis.
C. Instrument the code using a timing library, and publish the metrics via a health check endpoint that is scraped by Stackdriver.
D. Import the Stackdriver Debugger package, and configure the application to emit debug messages with timing information.

Answer: B

Explanation:
The easiest way to collect detailed metrics such as system resource utilization is to import the Stackdriver Profiler package, and configure it to relay function timing data to Stackdriver for further analysis. This way, you can use centralized GCP services without modifying your code or setting up additional tools.

NEW QUESTION # 76
You manage an application that runs in Google Kubernetes Engine (GKE) and uses the blue/green deployment methodology Extracts of the Kubernetes manifests are shown below:

The Deployment app-green was updated to use the new version of the application During post-deployment monitoring you notice that the majority of user requests are failing You did not observe this behavior in the testing environment You need to mitigate the incident impact on users and enable the developers to troubleshoot the issue What should you do?

A. Update the Deployment app-blue to use the new version of the application
B. Change the selector on the Service app-2vc to app: my-app.
C. Change the selector on the Service app-svc to app: my-app, version: blue
D. Update the Deployment ape-green to use the previous version of the application

Answer: B

NEW QUESTION # 77
You are the on-call Site Reliability Engineer for a microservice that is deployed to a Google Kubernetes Engine (GKE) Autopilot cluster. Your company runs an online store that publishes order messages to Pub/Sub and a microservice receives these messages and updates stock information in the warehousing system. A sales event caused an increase in orders, and the stock information is not being updated quickly enough. This is causing a large number of orders to be accepted for products that are out of stock You check the metrics for the microservice and compare them to typical levels.

You need to ensure that the warehouse system accurately reflects product inventory at the time orders are placed and minimize the impact on customers What should you do?

A. Increase the Pod CPU and memory limits
B. Increase the number of Pod replicas
C. Decrease the acknowledgment deadline on the subscription
D. Add a virtual queue to the online store that allows typical traffic levels

Answer: B

NEW QUESTION # 78
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. Because you are deployed on GKE and are using a cluster autoscaler. your GKE cluster will scale automatically, regardless of growth rate.
B. 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.
C. 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.
D. Verity the maximum node pool size, enable a horizontal pod autoscaler, and then perform a load test to verity your expected resource needs.

Answer: D

Explanation:
https://cloud.google.com/kubernetes-engine/docs/concepts/horizontalpodautoscaler The Horizontal Pod Autoscaler changes the shape of your Kubernetes workload by automatically increasing or decreasing the number of Pods in response to the workload's CPU or memory consumption

NEW QUESTION # 79
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 gcr.io hostname.
B. Push the images to Google Container Registry (GCR) using the us.gcr.io hostname.
C. Push the images to a private image registry running on a Compute Engine instance in the eu-west-1 region.
D. Push the images to Google Container Registry (GCR) using the eu.gcr.io hostname.

Answer: D

Explanation:
Explanation
Hostname Storage location gcr.io Stores images in data centers in the United States asia.gcr.io Stores images in data centers in Asia eu.gcr.io Stores images in data centers within member states of the European Union us.gcr.io Stores images in data centers in the United States

NEW QUESTION # 80
......

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