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

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

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Professional-Cloud-DevOps-Engineer Latest Mock Test - Exam Questions Professional-Cloud-DevOps-Engineer Vce

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q33-Q38):

NEW QUESTION # 33
You are running an application on Compute Engine and collecting logs through Stackdriver. You discover that some personally identifiable information (Pll) is leaking into certain log entry fields. All Pll 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. Create a basic log filter matching userinfo, and then configure a log export in the Stackdriver console with Cloud Storage as a sink.
B. 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.
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 tog exclusion with userinfo as a filter.
D. 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.

Answer: B

Explanation:
https://medium.com/google-cloud/fluentd-filter-plugin-for-google-cloud-data-loss-prevention-api-42bbb1308e76

NEW QUESTION # 34
You support a trading application written in Python and hosted on App Engine flexible environment. You want to customize the error information being sent to Stackdriver Error Reporting. What should you do?

A. Install the Stackdriver Error Reporting library for Python, and then run your code on App Engine flexible environment.
B. Use the Stackdriver Error Reporting API to write errors from your application to ReportedErrorEvent, and then generate log entries with properly formatted error messages in Stackdriver Logging.
C. Install the Stackdriver Error Reporting library for Python, and then run your code on a Compute Engine VM.
D. Install the Stackdriver Error Reporting library for Python, and then run your code on Google Kubernetes Engine.

Answer: B

Explanation:
https://cloud.google.com/error-reporting/docs/formatting-error-messages
https://cloud.google.com/error-reporting/docs/reference/libraries#client-libraries-install-python no need to install error reporting library on App Engine Flex.

NEW QUESTION # 35
Your application images are built using Cloud Build and pushed to Google Container Registry (GCR). You want to be able to specify a particular version of your application for deployment based on the release version tagged in source control. What should you do when you push the image?

A. Supply the source control tag as a parameter within the image name.
B. Use GCR digest versioning to match the image to the tag in source control.
C. Use Cloud Build to include the release version tag in the application image.
D. Reference the image digest in the source control tag.

Answer: A

Explanation:
Explanation
https://cloud.google.com/container-registry/docs/pushing-and-pulling

NEW QUESTION # 36
Your team is building a service that performs compute-heavy processing on batches of data The data is processed faster based on the speed and number of CPUs on the machine These batches of data vary in size and may arrive at any time from multiple third-party sources You need to ensure that third partiesare able to upload their data securely. You want to minimize costs while ensuring that the data is processed as quickly as possible What should you do?

A. * Provide a Cloud Storage bucket so that third parties can upload batches of data, and provide appropriate identity and Access Management (1AM) access to the bucket* Create a Cloud Function with a google, storage, object .finalise Cloud Storage trigger Write code so that the function can scale up a Compute Engine autoscaling managed instance group* Use an image pre-loaded with the data processing software that terminates the instances when processing completes
B. * Provide a secure file transfer protocol (SFTP) server on a Compute Engine instance so that thirdparties can upload batches of data and provide appropriate credentials to the server* Create a Cloud Function with a google.storage, object, finalize Cloud Storage trigger Write code so that the function can scale up a Compute Engine autoscaling managed instance group* Use an image pre-loaded with the data processing software that terminates the instances when processing completes
C. * Provide a Cloud Storage bucket so that third parties can upload batches of data, and provideappropriate Identity and Access Management (1AM) access to the bucket* Use Cloud Monitoring to detect new batches of data in the bucket and trigger a Cloud Function that processes the data* Set a Cloud Function to use the largest CPU possible to minimize the runtime of the processing
D. * Provide a Cloud Storage bucket so that third parties can upload batches of data, and provideappropriate Identity and Access Management (1AM) access to the bucket* Use a standard Google Kubernetes Engine (GKE) cluster and maintain two services one that processes the batches of data and one that monitors Cloud Storage for new batches of data* Stop the processing service when there are no batches of data to process

Answer: A

NEW QUESTION # 37
You are developing a strategy for monitoring your Google Cloud Platform (GCP) projects in production using Stackdriver Workspaces. One of the requirements is to be able to quickly identify and react to production environment issues without false alerts from development and staging projects. You want to ensure that you adhere to the principle of least privilege when providing relevant team members with access to Stackdriver Workspaces. What should you do?

A. Grant relevant team members the Project Viewer IAM role on all GCP production projects. Create Slackdriver workspaces inside each project.
B. Grant relevant team members read access to all GCP production projects. Create Stackdriver workspaces inside each project.
C. Create a new GCP monitoring project, and create a Stackdriver Workspace inside it. Attach the production projects to this workspace. Grant relevant team members read access to the Stackdriver Workspace.
D. Choose an existing GCP production project to host the monitoring workspace. Attach the production projects to this workspace. Grant relevant team members read access to the Stackdriver Workspace.

Answer: D

NEW QUESTION # 38
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