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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.

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q69-Q74):

NEW QUESTION # 69
You are configuring Cloud Logging for a new application that runs on a Compute Engine instance with a public IP address.
A user-managed service account is attached to the instance.
You confirmed that the necessary agents are running on the instance but you cannot see any log entries from the instance in Cloud Logging. You want to resolve the issue by following Google-recommended practices.
What should you do?

A. Enable Private Google Access on the subnet that the instance is in.
B. Update the instance to use the default Compute Engine service account.
C. Add the Logs Writer role to the service account.
D. Export the service account key and configure the agents to use the key.

Answer: C

Explanation:
To use Cloud Logging, the service account attached to the Compute Engine instance must have the necessary permissions to write log entries. The Logs Writer role (roles/logging.logWriter) provides this permission. You can grant this role to the user-managed service account at the project, folder, or organization level1.
Private Google Access is not required for Cloud Logging, as it allows instances without external IP addresses to access Google APIs and services2. The default Compute Engine service account already has the Logs Writer role, but it is not a recommended practice to use it for user applications3. Exporting the service account key and configuring the agents to use the key is not a secure way of authenticating the service account, as it exposes the key to potential compromise4.
Explanation:
The correct answer is
Reference:
1: Access control with IAM | Cloud Logging | Google Cloud
2: Private Google Access overview | VPC | Google Cloud
3: Service accounts | Compute Engine Documentation | Google Cloud
4: Best practices for securing service accounts | IAM Documentation | Google Cloud

NEW QUESTION # 70
Your company is creating a new cloud-native Google Cloud organization. You expect this Google Cloud organization to first be used by a small number of departments and then expand to be used by a large number of departments. Each department has a large number of applications varying in size. You need to design the VPC network architecture. Your solution must minimize the amount of management required while remaining flexible enough for development teams to quickly adapt to their evolving needs. What should you do?

A. Create a separate VPC for each department and connect the VPCs with VPC Network Peering.
B. Create a separate VPC for each department and use Private Service Connect to connect the VPCs.
C. Create a separate VPC for each department and connect the VPCs with Cloud VPN.
D. Create a separate VPC for each application and use Private Service Connect to connect the VPCs.

Answer: A

Explanation:
Comprehensive and Detailed Explanation:
The best network architecture should balance scalability, flexibility, and low management overhead. The best approach is:
Use a separate VPC for each department # This provides clear isolation for each team while allowing flexibility.
Use VPC Network Peering # VPC Peering enables private communication between VPCs with low latency and no bandwidth bottlenecks.
#Why not other options?
B (Private Service Connect for VPC connections)## Not designed for inter-VPC networking; it's meant for connecting to Google services or external services securely.
C (Separate VPC per application)## Too many VPCs would lead to complex management overhead.
D (Cloud VPN for connectivity)## Cloud VPN is for hybrid networking, not the best choice for internal GCP VPC connectivity.
#Official Reference:
Google Cloud VPC Design Best Practices
VPC Peering Overview

NEW QUESTION # 71
You are performing a semiannual 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. 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.
B. Because you are deployed on GKE and are using a cluster autoscaler. your GKE cluster will scale automatically, regardless of growth rate.
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 capacity.
D. Verity the maximum node pool size, enable a horizontal pod autoscaler, and then perform a load test to verity your expected resource needs.

Answer: D

NEW QUESTION # 72
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 logging agent to the application servers.* Give the developers the IAM Logs Viewer role to access Stackdriver and view logs.
C. * Deploy the Stackdriver monitoring agent to the application servers.* Give the developers the IAM Monitoring Viewer role to access Stackdriver and view metrics.
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: B

NEW QUESTION # 73
Your company is developing applications that are deployed on Google Kubernetes Engine (GKE). Each team manages a different application. You need to create the development and production environments for each team, while minimizing costs. Different teams should not be able to access other teams' environments. What should you do?

A. Create a Development and a Production GKE cluster in separate projects. In each cluster, create a Kubernetes namespace per team, and then configure Kubernetes Role-based access control (RBAC) so that each team can only access its own namespace.
B. Create a Development and a Production GKE cluster in separate projects. In each cluster, create a Kubernetes namespace per team, and then configure Identity Aware Proxy so that each team can only access its own namespace.
C. Create one GCP Project per team. In each project, create a cluster with a Kubernetes namespace for Development and one for Production. Grant the teams IAM access to their respective clusters.
D. Create one GCP Project per team. In each project, create a cluster for Development and one for Production. Grant the teams IAM access to their respective clusters.

Answer: A

Explanation:
https://cloud.google.com/architecture/prep-kubernetes-engine-for-prod#roles_and_groups

NEW QUESTION # 74
......

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