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

Section	Objectives
Develop and implement CI/CD pipelines	- Build and manage CI/CD pipelines using Google Cloud tools 1. Cloud Build pipeline design 2. Artifact repository management - Automate build, test, and deployment processes 1. Release management practices 2. Deployment automation strategies
Optimize performance and continuous delivery	- Monitoring and observability 1. Performance tuning and feedback loops 2. Cloud Monitoring and Logging - System performance optimization 1. Scaling strategies and load handling
Implement site reliability engineering (SRE) practices	- Define and manage SLI, SLO, and SLA 1. Error budgets and monitoring strategies - Incident management and postmortems 1. Alerting and on-call practices
Implement security and compliance	- Secure CI/CD pipelines 1. IAM and least privilege access 2. Secret and credential management - Compliance and governance 1. Audit logging and policy enforcement

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q138-Q143):

NEW QUESTION # 138
You are designing a system with three different environments: development, quality assurance (QA), and production. Each environment will be deployed with Terraform and has a Google Kubernetes Engine Enterprise (GKE Enterprise) cluster created so that application teams can deploy their applications. Config Sync will be used and templated to deploy infrastructure-level resources in each GKE Enterprise cluster. All users (for example, infrastructure operators and application owners) will use GitOps. How should you structure your source control repositories for both infrastructure as code (IaC) and application code?

A. Cloud Infrastructure (Terraform) repository is shared: different directories are different environmentsGKE Enterprise Infrastructure (Config Sync Kustomize manifests) repository is shared: different overlay directories are different environmentsApplication (app source code) repositories are separated: different branches are different features
B. Cloud Infrastructure (Terraform) repository is shared: different directories are different environmentsGKE Enterprise Infrastructure (Config Sync Kustomize manifests) repositories are separated: different branches are different environmentsApplication (app source code) repositories are separated: different branches are different features
C. Cloud Infrastructure (Terraform) repository is shared: different branches are different environmentsGKE Enterprise Infrastructure (Config Sync Kustomize manifests) repository is shared: different overlay directories are different environmentsApplication (app source code) repository is shared: different directories are different features
D. Cloud Infrastructure (Terraform) repositories are separated: different branches are different environmentsGKE Enterprise Infrastructure (Config Sync Kustomize manifests) repositories are separated: different overlay directories are different environmentsApplication (app source code) repositories are separated: different branches are different features

Answer: A

NEW QUESTION # 139
You are responsible for the reliability of a high-volume enterprise application. A large number of users report that an important subset of the application's functionality - a data intensive reporting feature - is consistently failing with an HTTP 500 error. When you investigate your application's dashboards, you notice a strong correlation between the failures and a metric that represents the size of an internal queue used for generating reports. You trace the failures to a reporting backend that is experiencing high I/O wait times. You quickly fix the issue by resizing the backend's persistent disk (PD). How you need to create an availability Service Level Indicator (SLI) for the report generation feature. How would you define it?

A. As the application's report generation queue size compared to a known-good threshold
B. As the I/O wait times aggregated across all report generation backends
C. As the reporting backend PD throughout capacity compared to a known-good threshold
D. As the proportion of report generation requests that result in a successful response

Answer: D

Explanation:
Explanation
According to SRE Workbook, one of potential SLI is as below:
* Type of service: Request-driven
* Type of SLI: Availability
* Description: The proportion of requests that resulted in a successful response.
https://sre.google/workbook/implementing-slos/

NEW QUESTION # 140
You manage several production systems that run on Compute Engine in the same Google Cloud Platform (GCP) project. Each system has its own set of dedicated Compute Engine instances. You want to know how must it costs to run each of the systems. What should you do?

A. In the Google Cloud Platform Console, use the Cost Breakdown section to visualize the costs per system.
B. Name each virtual machine (VM) after the system it runs. Set up a usage report export to a Cloud Storage bucket. Configure the bucket as a source in BigQuery to query costs based on VM name.
C. Assign all instances a label specific to the system they run. Configure BigQuery billing export and query costs per label.
D. Enrich all instances with metadata specific to the system they run. Configure Stackdriver Logging to export to BigQuery, and query costs based on the metadata.

Answer: B

NEW QUESTION # 141
You manage an application that is writing logs to Stackdriver Logging. You need to give some team members the ability to export logs. What should you do?

A. Create an Organizational Policy in Cloud IAM to allow only these members to create log exports.
B. Grant the team members the IAM role of logging.configWriter on Cloud IAM.
C. Configure Access Context Manager to allow only these members to export logs.
D. Create and grant a custom IAM role with the permissions logging.sinks.list and logging.sink.get.

Answer: B

Explanation:
https://cloud.google.com/logging/docs/access-control
The logging.configWriter role grants permissions to create, update, and delete log exports. This is the correct role to give team members who need to export logs2.

NEW QUESTION # 142
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 a private image registry running on a Compute Engine instance in the eu-west-1 region.
C. Push the images to Google Container Registry (GCR) using the eu.gcr.io hostname.
D. Push the images to Google Container Registry (GCR) using the us.gcr.io hostname.

Answer: C

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 # 143
......

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