Intermediate GCP Interview Questions

12. Explain the purpose and use of Google Kubernetes Engine (GKE).

A managed platform for carrying out, regulating, and expanding Kubernetes-based containerized applications is Google Kubernetes Engine (GKE). It opens developers from worrying about infrastructure and lets them focus on creating applications by automated an array of Kubernetes cluster management tasks. The features that GKE provides like as load balancing, auto-scaling, and automated updates, enable the running of containerized workloads in production environments. Teams may quickly deploy and upkeep apps at scale thanks to its encapsulation of the difficulties involved in building up and managing Kubernetes clusters. GKE is a popular tool for creating and managing cloud-native, contemporary apps. This is the architecture of Kubernetes. A managed platform for carrying out, regulating, and expanding Tectonic-based containerized applications is Google Kubernetes Engine (GKE). Many aspects of handling a Kubernetes cluster are automated by it, allowing developers to concentrate on creating apps rather than

13. What are Google Cloud Functions, and when would you use them?

Users may execute code in response to events triggered by Google Cloud services or external sources utilizing serverless, event-driven Google Cloud Functions. They provide a scalable and inexpensive way to executing brief sections of code without having to worry with managing infrastructure. Use them for jobs where you need to respond to events quickly and efficiently without annoying about server management, such as data processing, automation, or creating lightweight APIs.

14. How do you configure autoscaling in GCP?

For setting up autoscaling on Google Cloud Platform (GCP), open the GCP Console then go to the Compute Engine section. Following that, choose the instance group you want to set up autoscaling for. Following that, select the metric or metrics to scale according to (such as CPU utilization or load balancing capacity) simply clicking on “Autoscaling.” Following adjusting for any pertinent parameters, particularly the minimum and maximum number of instances, save the configuration. From now on, GCP will adjust the quantity of instances based to the selected metrics.

15. What is Google Cloud Pub/Sub, and how does it work?

A messaging service for event-driven systems is Google Cloud Pub/Sub. It allows separate applications to interact synchronously with one another. Topics are conduits for distributing data; publishers communicate messages to these topics, and subscribers receive messages from these topics. It offers a variety of integrations within the Google Cloud ecosystem and scales automatically to manage enormous throughput. It uses a push-pull model, so users can choose to receive messages immediately via push notifications or pull them at their own acceleration.

16. Describe how to set up a Cloud SQL instance.

To set up a Cloud SQL instance:

1. Navigate to the Google Cloud Console.
2. Choose the project whereby the instance is to be generated.
3. Click “Create Instance” after choosing SQL in the menu to the left.
4. Choose the instance type, database engine, and options for configuration.
5. To start your Cloud SQL instance, click “Create.”

17. What is the difference between Persistent Disk and Local SSD in GCP?

For data that has to survive more than the life of a single Compute Engine instance, Google Cloud Platform’s (GCP) Persistent Disk offers strong block storage. Redundancy and high availability are advantages it provides. Local SSD, on the other hand, offers temporary block storage which is high-performance, low-latency, and actually linked to the actual hardware operating the virtual machine instance. While local SSD works better, data stored on it is not as durable and will be lost in the event that the instance is terminated or suffers a failure.

18. How do you use Stackdriver for monitoring and logging in GCP?

Enabling the Stackdriver Monitoring and Logging APIs for your project is the initial step towards employing Stackdriver for monitoring and logging on Google Cloud Platform (GCP). Following that, set up Stackdriver Monitoring to offer dashboards and alerts for the metrics of your resources. For logging, submit your application logs to Stackdriver Logging, offering effective log data analysis, searching, and export. Additionally, for distributed application tracing for performance analysis, use Stackdriver Trace. Finally, confirm that appropriate IAM permissions are configured so as to access Stackdriver resources.

19. Explain the role of BigQuery in GCP.

BigQuery is the entirely managed serverless data storage solution offered by Google Cloud Platform. Using SQL-like queries, this enables users to study huge data sets quickly. Real-time analytics and insights are rendered feasible by BigQuery’s perfect handling of scalability. Integration with other GCP services makes data processing, visualization, and input easier. All sizes of companies may profit from BigQuery’s cost-effective pay-as-you-go membership model.

20. What is the principle of least privilege, and how do you apply it in GCP?

Due to the least privilege principle, users ought to receive only the bare minimum of access necessary to do their tasks. This is carried out in Google Cloud Platform (GCP) by giving users roles that have specific permissions, so limiting their access to only what they require. Roles can be carefully adjusted to grant specific permissions through IAM (Identity and Access Management) policies, limiting the likelihood of unauthorized behaves and potential security breaches.

21. Describe the process of setting up a VPN between an on-premises network and GCP.

Using the Cloud Console, establish a VPN gateway in Google Cloud Platform (GCP) firstly.

1. Connect the on-premises network’s VPN device for the GCP VPN gateway through a virtual private network (VPN) connection.
2. Put up the necessary firewall rules to ensure that communications is allowed between the VPN networks.
3. Check the right routing is configured for the VPN for routing traffic between the on-premises and GCP networks.
4. To guarantee that data can be transmitted effectively between the on-premises network and GCP resources, test the connection.

22. Explain the concept of uptime checks and how they contribute to monitoring in GCP.

GCP uptime checks are automated tests that maintain a watch on a resource’s or service’s availability. They test the responsiveness of a particular endpoint through sending requests to it on an ongoing basis. Uptime checks aid in maintaining service reliability and timely resolution of possible issues such as outages or problems with performance. In the realm of cloud computing, high availability and short downtime are crucial for user experience and business continuity. This proactive monitoring approach helps to achieve both of these goals.

Amongst the most prominent cloud service providers, Google Cloud Platform (GCP) has grown rapidly through offering an extensive selection of solutions and services tailored to various business needs. It can be hard to get ready for a GCP interview if you are a beginner who only recently started out with cloud technology, a seasoned professional hoping to expand your expertise, or an intermediate level applicant looking to hone your skills.