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

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

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q26-Q31):

NEW QUESTION # 26
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. Focus on responding to internal stakeholders at least every 30 minutes. Commit to "next update" times.
C. Delegate the responding to internal stakeholder emails to another member of the Incident Response Team. Focus on providing responses directly to customers.
D. Provide periodic updates to all stakeholders in a timely manner. Commit to a "next update" time in all communications.

Answer: D

Explanation:
When disaster strikes, the person who declares the incident typically steps into the IC role and directs the high-level state of the incident. The IC concentrates on the 3Cs and does the following: Commands and coordinates the incident response, delegating roles as needed. By default, the IC assumes all roles that have not been delegated yet. Communicates effectively. Stays in control of the incident response. Works with other responders to resolve the incident. https://sre.google/workbook/incident-response/

NEW QUESTION # 27
A third-party application needs to have a service account key to work properly When you try to export the key from your cloud project you receive an error "The organization policy constraint larn.disableServiceAccountKeyCreation is enforcedM You need to make the third-party application work while following Google-recommended security practices What should you do?

A. Remove the iam.disableServiceAccountKeyCreation policy at the organization level, and create a key.
B. Disable the service account key creation policy at the project's folder, and download the default key
C. Add a rule to set the iam.disableServiceAccountKeyCreation policy to off in your project and create a key.
D. Enable the default service account key. and download the key

Answer: C

Explanation:
Explanation
The best option for making the third-party application work while following Google-recommended security practices is to add a rule to set the iam.disableServiceAccountKeyCreation policy to off in your project and create a key. The iam.disableServiceAccountKeyCreation policy is an organization policy that controls whether service account keys can be created in a project or organization. By default, this policy is set to on, which means that service account keys cannot be created. However, you can override this policy at a lower level, such as a project, by adding a rule to set it to off. This way, you can create a service account key for your project without affecting other projects or organizations. You should also follow the best practices for managing service account keys, such as rotating them regularly, storing them securely, and deleting them when they are no longer needed.

NEW QUESTION # 28
Your company runs applications in Google Kubernetes Engine (GKE) that are deployed following a GitOps methodology.
Application developers frequently create cloud resources to support their applications. You want to give developers the ability to manage infrastructure as code, while ensuring that you follow Google-recommended practices. You need to ensure that infrastructure as code reconciles periodically to avoid configuration drift.
What should you do?

A. Configure Cloud Build with a Terraform builder to execute plan and apply commands.
B. Create a Job resource with a Terraform docker image to execute terraforrm plan and terraform apply commands.
C. Install and configure Config Connector in Google Kubernetes Engine (GKE).
D. Create a Pod resource with a Terraform docker image to execute terraform plan and terraform apply commands.

Answer: C

Explanation:
Explanation
The best option to give developers the ability to manage infrastructure as code, while ensuring that you follow Google-recommended practices, is to install and configure Config Connector in Google Kubernetes Engine (GKE).
Config Connector is a Kubernetes add-on that allows you to manage Google Cloud resources through Kubernetes. You can use Config Connector to create, update, and delete Google Cloud resources using Kubernetes manifests. Config Connector also reconciles the state of the Google Cloud resources with the desired state defined in the manifests, ensuring that there is no configuration drift1.
Config Connector follows the GitOps methodology, as it allows you to store your infrastructure configuration in a Git repository, and use tools such as Anthos Config Management or Cloud Source Repositories to sync the configuration to your GKE cluster. This way, you can use Git as the source of truth for your infrastructure, and enable reviewable and version-controlled workflows2.
Config Connector can be installed and configured in GKE using either the Google Cloud Console or the gcloud command-line tool. You need to enable the Config Connector add-on for your GKE cluster, and create a Google Cloud service account with the necessary permissions to manage the Google Cloud resources. You also need to create a Kubernetes namespace for each Google Cloud project that you want to manage with Config Connector3.
By using Config Connector in GKE, you can give developers the ability to manage infrastructure as code, while ensuring that you follow Google-recommended practices. You can also benefit from the features and advantages of Kubernetes, such as declarative configuration, observability, and portability4.
References:
1: Overview | Artifact Registry Documentation | Google Cloud
2: Deploy Anthos on GKE with Terraform part 1: GitOps with Config Sync | Google Cloud Blog
3: Installing Config Connector | Config Connector Documentation | Google Cloud
4: Why use Config Connector? | Config Connector Documentation | Google Cloud

NEW QUESTION # 29
You have a pool of application servers running on Compute Engine. You need to provide a secure solution that requires the least amount of configuration and allows developers to easily access application logs for troubleshooting. How would you implement the solution on GCP?

A. * Deploy the Stackdriver logging agent to the application servers.* Give the developers the IAM Logs Private Logs Viewer role to access Stackdriver and view logs.
B. * Deploy the Stackdriver monitoring agent to the application servers.* Give the developers the IAM Monitoring Viewer role to access Stackdriver and view metrics.
C. * Deploy the Stackdriver logging agent to the application servers.* Give the developers the IAM Logs Viewer role to access Stackdriver and view logs.
D. * Install the gsutil command line tool on your application servers.* Write a script using gsutil to upload your application log to a Cloud Storage bucket, and then schedule it to run via cron every 5 minutes.* Give the developers IAM Object Viewer access to view the logs in the specified bucket.

Answer: C

Explanation:
https://cloud.google.com/logging/docs/audit#access-control

NEW QUESTION # 30
You have deployed a fleet Of Compute Engine instances in Google Cloud. You need to ensure that monitoring metrics and logs for the instances are visible in Cloud Logging and Cloud Monitoring by your company's operations and cyber security teams. You need to grant the required roles for the Compute Engine service account by using Identity and Access Management (IAM) while following the principle of least privilege. What should you do?

A. Grant the Logging. admin and monitoring . editor roles to the Compute Engine service accounts.
B. Grant the logging. logwriter and monitoring. editor roles to the Compute Engine service accounts.
C. Grant the logging. logWriter and monitoring. metricWriter roles to the Compute Engine service accounts.
D. Grant the logging.editor and monitoring.metricwriter roles to the Compute Engine service accounts.

Answer: C

Explanation:
Explanation
The correct answer is D. Grant the logging.logWriter and monitoring.metricWriter roles to the Compute Engine service accounts.
According to the Google Cloud documentation, the Compute Engine service account is a Google-managed service account that is automatically created when you enable the Compute Engine API1. This service account is used by default to run your Compute Engine instances and access other Google Cloud services on your behalf1. To ensure that monitoring metrics and logs for the instances are visible in Cloud Logging and Cloud Monitoring, you need to grant the following IAM roles to the Compute Engine service account23:
The logging.logWriter role allows the service account to write log entries to Cloud Logging4.
The monitoring.metricWriter role allows the service account to write custom metrics to Cloud Monitoring5.
These roles grant the minimum permissions that are needed for logging and monitoring, following the principle of least privilege. The other roles are either unnecessary or too broad for this purpose. For example, the logging.editor role grants permissions to create and update logs, log sinks, and log exclusions, which are not required for writing log entries6. The logging.admin role grants permissions to delete logs, log sinks, and log exclusions, which are not required for writing log entries and may pose a security risk if misused. The monitoring.editor role grants permissions to create and update alerting policies, uptime checks, notification channels, dashboards, and groups, which are not required for writing custom metrics.

NEW QUESTION # 31
......

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