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How to Prepare For Google Professional Cloud DevOps Engineer Exam

Preparation Guide for Google Professional Cloud DevOps Engineer Exam

Introduction

Google has designed a track for IT professionals to endorse as a cloud DevOps Engineer on the GCP platform. This accreditation program gives Google cloud professionals a way to endorse their skills. The evaluation relies on a meticulous exam using the industry-standard methodology to conclude whether or not an aspirant meets Google's proficiency standards.

According to Google, a Google Professional Cloud DevOps Engineer Exam test facilitates organizations to influence Google Cloud technologies. By leveraging experience implementing VPCs, DevOps services, hybrid connectivity, and security for established DevOps architectures, this individual ensures successful cloud implementations using the Google Cloud Platform Console or the command-line interface.

Certification is evidence of your skills, expertise in those areas in which you like to work. If a candidate wants to work as Google Professional Cloud DevOps Engineer and prove his knowledge, certification is offered by Google. This Google Professional Cloud DevOps Engineer Certification helps a candidate to validates his skills in Google Professional Cloud DevOps Engineer Technology.

In this guide, we will cover the Google Professional Cloud DevOps Engineer practice exams, Google Professional Cloud DevOps Engineer Certified Professionals salary, and all aspects of the Google Professional Cloud DevOps Engineer Certification.

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q149-Q154):

NEW QUESTION # 149
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. Enable the default service account key. and download the key
D. Add a rule to set the iam.disableServiceAccountKeyCreation policy to off in your project and create a key.

Answer: D

NEW QUESTION # 150
Your company follows Site Reliability Engineering practices. You are the Incident Commander for a new. customer-impacting incident. You need to immediately assign two incident management roles to assist you in an effective incident response. What roles should you assign?
Choose 2 answers

A. Operations Lead
B. Customer Impact Assessor
C. External Customer Communications Lead
D. Communications Lead
E. Engineering Lead

Answer: A,D

Explanation:
https://sre.google/workbook/incident-response/
"The main roles in incident response are the Incident Commander (IC), Communications Lead (CL), and Operations or Ops Lead (OL)."

NEW QUESTION # 151
You are designing a new multi-tenant Google Kubernetes Engine (GKE) cluster for a customer. Your customer is concerned with the risks associated with long-lived credentials use. The customer requires that each GKE workload has the minimum Identity and Access Management (IAM) permissions set following the principle of least privilege (PoLP). You need to design an IAM impersonation solution while following Google-recommended practices. What should you do?

A. Create a Google service account.
Create a service account key for the Google service account.
Create a Kubernetes secret with a service account key.
Ensure that workload mounts the secret and set the GOOGLE_APPLICATION_CREDENTIALS environment variable to point at the mount path.
Repeat for each workload.
B. Create a Google service account.
Create a node pool, and set the Google service account as the default identity.
Ensure that workloads can only run on the designated node pool by using node selectors, taints, and tolerations.
Repeat for each workload.
C. Create a Google service account.
Create a node pool without taints, and set the Google service account as the default identity.
Grant IAM permissions to the Google service account.
D. Create a Google service account.
Create a Kubernetes service account in a Workload Identity-enabled cluster.
Link the Google service account with the Kubernetes service account by using the roles/iam.
workloadIdentityUser role and iam.gke.io/gcp-service-account annotation.
Map the Kubernetes service account to the workload.
Repeat for each workload.

Answer: D

Explanation:
Google Workload Identity is the recommended method to allow GKE workloads to securely access Google Cloud APIs using short-lived credentials without managing keys.
"Workload Identity is the recommended way to access Google Cloud services from GKE. It replaces the older method of using service account keys."
- Workload Identity Overview
"You can configure a Kubernetes service account to impersonate a Google Cloud service account by granting the roles/iam.workloadIdentityUser role and using the iam.gke.io/gcp-service-account annotation."
- Configure Workload Identity
This satisfies the customer's requirement for PoLP and avoids long-lived keys.

NEW QUESTION # 152
You need to define Service Level Objectives (SLOs) for a high-traffic multi-region web application. Customers expect the application to always be available and have fast response times. Customers are currently happy with the application performance and availability. Based on current measurement, you observe that the 90th percentile of latency is 120ms and the 95th percentile of latency is 275ms over a 28-day window. What latency SLO would you recommend to the team to publish?

A. 90th percentile - 150ms95th percentile - 300ms
B. 90th percentile - 120ms95th percentile - 275ms
C. 90th percentile - 250ms95th percentile - 400ms
D. 90th percentile - 100ms95th percentile - 250ms

Answer: A

NEW QUESTION # 153
You are performing a semi-annual 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. Verify the maximum node pool size, enable a horizontal pod autoscaler, and then perform a load test to verify your expected resource needs.
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.
D. Because you are deployed on GKE and are using a cluster autoscaler, your GKE cluster will scale automatically regardless of growth rate.

Answer: D

NEW QUESTION # 154
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