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

Section	Objectives
Topic 1: Implement site reliability engineering (SRE) practices	- Incident management and postmortems 1. Alerting and on-call practices - Define and manage SLI, SLO, and SLA 1. Error budgets and monitoring strategies
Topic 2: Optimize performance and continuous delivery	- System performance optimization 1. Scaling strategies and load handling - Monitoring and observability 1. Performance tuning and feedback loops 2. Cloud Monitoring and Logging
Topic 3: Implement security and compliance	- Secure CI/CD pipelines 1. Secret and credential management 2. IAM and least privilege access - Compliance and governance 1. Audit logging and policy enforcement
Topic 4: Develop and implement CI/CD pipelines	- Automate build, test, and deployment processes 1. Release management practices 2. Deployment automation strategies - Build and manage CI/CD pipelines using Google Cloud tools 1. Cloud Build pipeline design 2. Artifact repository management

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q133-Q138):

NEW QUESTION # 133
You need to reduce the cost of virtual machines (VM| for your organization. After reviewing different options, you decide to leverage preemptible VM instances. Which application is suitable for preemptible VMs?

A. A distributed, eventually consistent NoSQL database cluster with sufficient quorum
B. A scalable in-memory caching system
C. A GPU-accelerated video rendering platform that retrieves and stores videos in a storage bucket
D. The organization's public-facing website

Answer: C

NEW QUESTION # 134
You support a service with a well-defined Service Level Objective (SLO). Over the previous 6 months, your service has consistently met its SLO and customer satisfaction has been consistently high. Most of your service's operations tasks are automated and few repetitive tasks occur frequently. You want to optimize the balance between reliability and deployment velocity while following site reliability engineering best practices. What should you do? (Choose two.)

A. Make the service's SLO more strict.
B. Change the implementation of your Service Level Indicators (SLIs) to increase coverage.
C. Increase the service's deployment velocity and/or risk.
D. Get the product team to prioritize reliability work over new features.
E. Shift engineering time to other services that need more reliability.

Answer: B,D

NEW QUESTION # 135
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 duster as a Private Cluster.
B. Configure a Google Cloud HTTP Load Balancer as Ingress.
C. Configure the VPC as a Shared VPC Host project.
D. Configure your network services on the Standard Tier.

Answer: B

Explanation:
Costs associated with a load balancer are charged to the project containing the load balancer components. Because of these benefits, container-native load balancing is the recommended solution for load balancing through Ingress. When NEGs are used with GKE Ingress, the Ingress controller facilitates the creation of all aspects of the L7 load balancer. This includes creating the virtual IP address, forwarding rules, health checks, firewall rules, and more. https://cloud.google.com/architecture/best-practices-for-running-cost-effective-kubernetes-applications-on-gke

NEW QUESTION # 136
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. 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.
B. In the Google Cloud Platform Console, use the Cost Breakdown section to visualize the costs per system.
C. 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.
D. Assign all instances a label specific to the system they run. Configure BigQuery billing export and query costs per label.

Answer: D

Explanation:
https://cloud.google.com/billing/docs/how-to/export-data-bigquery

NEW QUESTION # 137
You use Terraform to manage an application deployed to a Google Cloud environment The application runs on instances deployed by a managed instance group The Terraform code is deployed by using aCI/CD pipeline When you change the machine type on the instance template used by the managed instance group, the pipeline fails at the terraform apply stage with the following error message

You need to update the instance template and minimize disruption to the application and the number of pipeline runs What should you do?

A. Set the create_bef ore_destroy meta-argument to true in the lifecycle block on the instance template
B. Remove the managed instance group from the Terraform state file update the instance template and reimport the managed instance group.
C. Delete the managed instance group and recreate it after updating the instance template
D. Add a new instance template update the managed instance group to use the new instance template and delete the old instance template

Answer: A

Explanation:
The best option for updating the instance template and minimizing disruption to the application and the number of pipeline runs is to set the create_before_destroy meta-argument to true in the lifecycle block on the instance template. The create_before_destroy meta-argument is a Terraform feature that specifies that a new resource should be created before destroying an existing one during an update. This way, you can avoid downtime and errors when updating a resource that is in use by another resource, such as an instance template that is used by a managed instance group. By setting the create_before_destroy meta-argument to true in the lifecycle block on the instance template, you can ensure that Terraform creates a new instance template with the updated machine type, updates the managed instance group to use the new instance template, and then deletes the old instance template.

NEW QUESTION # 138
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