GCP Cloud-Devops-Engineer Interview Questions & Answers in Karachi, Lahore, Islamabad, Pakistan.

About Google Cloud Certified – Professional Cloud DevOps Engineer

A Professional Cloud DevOps Engineer is responsible for efficient development operations that can balance service reliability and delivery speed. They are skilled at using Google Cloud to build software delivery pipelines, deploy and monitor services, and manage and learn from incidents.

GCP Cloud DevOps Engineer Interview Question & Answers

What is Cloud Computing?

Cloud computing is the on-demand, pay-as-you-go distribution of IT services through the Internet. Instead of purchasing, operating, and maintaining physical data centres and servers, you may rent computing power, storage, and databases from a cloud provider like Google on an as-needed basis. The cloud computing service is genuinely worldwide, with no regional or border limits.

What is Google Cloud Platform?

Google Cloud Platform is a Google-developed cloud platform that allows users to access cloud systems and computer services. GCP provides a wide range of cloud computing services in the compute, database, storage, migration, and networking sectors. Google Cloud Platform (GCP) is a set of cloud computing services that run on the same infrastructure as Google’s end-user products, such as Google Search, Gmail, file storage, and YouTube.

What types of tools are available via the Google Cloud Platform?

Firstly, Compute.
Secondly, Networking.
Thirdly, Storage and Databases.
Fourthly, Artificial Intelligence (AI) / Machine Learning (ML)
Fifthly, Big Data.
Sixthly, Identity and Security.
Lastly, Management Tools

Tell us about the various layers of Google Cloud.

There are four layers of the Google cloud platform:

Infrastructure as a Service (IaaS): This is the basic layer that consists of hardware and network.
Platform as a Service (PaaS): This is the second layer that provides the necessary resources for building applications along with the infrastructure.
Software as a Service (SaaS): Saas is the third layer that allows the user to access the various cloud offerings from the service provider.
Business Process Outsourcing: This is the final layer even though BPO is not a technical solution. BPO is concerned with outsourcing services to a vendor to take care of any issues faced by the end-user while using the cloud computing services.

What are the different development models of cloud computing?

Public cloud: Anyone can access a public cloud as the service is available via a subscription. Accessible resources of such a cloud include OS, CPU, memory, and storage.
Private cloud: Such a cloud can only be accessed by a single organization and its employees. It is also known as internal cloud or corporate cloud.
Hybrid cloud: A combination of public and private clouds creates a hybrid cloud. It consists of mixed computing, storage, and services environment and is popular with organizations looking for improved scalability and control.
Community cloud: With a community cloud, several organizations can use the same service for sharing information.

What does a Professional Cloud DevOps Engineer do?

A Professional Cloud DevOps Engineer is in charge of ensuring that development processes are efficient and that service dependability and delivery pace are balanced.
They know how to develop software delivery pipelines, install and monitor services, and manage and learn from incidents using the Google Cloud Platform.

Give the full form of SLO?

The SLO stands for Service-Level Objective.

What do you mean by Service-Level Objective (SLO)?

When a system is unavailable, it is unable to execute its purpose and will fail by default. Any future discussions regarding whether the system is working sufficiently and dependably, as well as what design or architectural modifications should be made to it, must be framed in terms of this system’s ability to satisfy the SLO.

Give the full form of SLA?

The SLA stands for Service-Level Agreement.

What do you understand by Service-Level Agreement (SLA)?

An SLA usually entails a promise to someone who uses your service that its availability SLO will meet a specific level over a set period of time, and that if it does not, a penalty will be paid.

Give the full form of SLI?

The SLI stands for Service-Level Indicator.

Explain Service-Level Indicator (SLI)?

We use the SLI to calculate the service availability percentage when determining if our system has been functioning within SLO for the preceding week. You must be able to quantify the rates of successful and failed inquiries as your SLIs if a user wants to know how dependable your service is.

What do you understand by Toil?

Rather of being strategy-driven and proactive, toil is interrupt-driven and reactive. It takes a lot of effort to manage pager notifications. We may never be able to totally eliminate this sort of job, but we must constantly strive to reduce it.

How to implement a learning culture?

Firstly, Create a training budget, and advocate for it internally.
Secondly, Ensure that your team has the resources to engage in informal learning and the space to explore ideas.
Thirdly, Make it safe to fail.
Fourthly, Create opportunities and spaces to share information.
Lastly, Make resources available for continued education.

What does managing images?

Listing images in a repository, adding tags, deleting tags, copying photos to a new repository, and deleting photographs are all examples of image management.

What is the use of Universal build artifact management system?

Your business can manage container images and language packages in one place with Artifact Registry. It comes with support for native artefact protocols and is completely integrated with Google Cloud’s tooling and runtimes. This makes it simple to set up automated pipelines by integrating it with your CI/CD tooling.

Define Heterogeneous deployments?

Depending on the deployment’s specifications, heterogeneous deployments are referred to as “hybrid,” “multi-cloud,” or “public-private.” Heterogeneous deployments cover various regions in a single cloud environment, numerous public cloud environments, or a mix of on-premises and public cloud settings.

What are Multi-cloud deployments?

Some of the most typical heterogeneous deployment patterns utilized with Kubernetes include multi-cloud deployments, in which all deployments are very identical. One typical use of multi-cloud deployments is to set up a highly available deployment that can withstand the breakdown of any one environment. The same Kubernetes deployment may be orchestrated in any of the appropriate settings.

What are the key features of Cloud Build?

Firstly, Extremely fast builds
Secondly, Automate your deployments
Thirdly, Support for multi-cloud
Fourthly, Commit to deployment in minutes
Lastly, Unparalleled privacy

Give some objectives of continuous delivery pipeline using Google Kubernetes Engine (GKE)?

Set up your environment by launching Cloud Shell and deploying Spinnaker for Google Cloud.
Create a GKE cluster to deploy the sample application to.
Create a Git repository for a sample app and upload it to Cloud Source Repositories.
Build your Docker image.
Create triggers to create Docker images when your app changes.
Create a Spinnaker pipeline to deploy your app to GKE reliably and consistently.Deploy a code change, triggering the pipeline, and watch the change deploy to production.

Name different types of Cloud Audit Logs?

Admin Activity audit logs
Data Access audit logs
System Event audit logs
Policy Denied audit logs

How version control helps meet continuous delivery?

The version control helps you meet these critical requirements:

Reproducibility. Teams must be able to provision any environment in a fully automated fashion and know that any new environment reproduced from the same configuration is identical. A prerequisite for achieving this goal is having the scripts and configuration information that are required to provide an environment stored in a shared, accessible system.
Traceability. Teams should be able to pick any environment and determine the versions of every dependency used to generate that environment fast and precisely. They should also be able to compare and contrast two copies of an environment to see what has changed.

What is multi-tenancy?

Multiple users and workloads, referred to as “tenants,” share a multi-tenant cluster. To limit the harm that a compromised tenant may inflict to the cluster and other tenants, multi-tenant cluster operators must segregate tenants from one another. In addition, cluster resources must be distributed evenly across tenants.

What are the advantages of using multi-tenants?

Firstly, Reduced management overhead
Secondly, Reduced resource fragmentation
Lastly, No need to wait for cluster creation for new tenants

What is a Logging agent?

A Logging agent sends logs to Logging from a variety of third-party applications and system components. Additional logs can be streamed by configuring the agent.

What is an Ops agent?

Compared to the basic Cloud Logging agent, the Ops agent integrates logging and metrics into a single agent and is targeted for specific logging workloads that require faster throughput and/or improved resource efficiency. If you have a lot of work to do and the agent’s provided feature set suits your demands, you should go for the Ops Agent.

What is alerting?

Problems in your cloud apps are alerted in real time, allowing you to immediately rectify them. An alerting policy in Cloud Monitoring specifies the conditions under which you want to be notified and how you want to be notified. This page gives you a quick rundown of alerting policies.

What are the key features of Cloud Logging?

Logs explorer
Custom logs / Ingestion API
Alerting on logs
Error Reporting
Lastly, Cloud Audit Logs

What are Cloud audit logs?

Cloud Audit Logs helps security teams maintain audit trails in Google Cloud. Moreover, with this tool, enterprises can attain the same level of transparency over administrative activities and accesses to data in Google Cloud as in on-premises environments.

What is the use of Cloud Monitoring?

Firstly, Collect metrics from multi-cloud and hybrid infrastructure in real-time
Secondly, Enable SRE best practices extensively used by Google based on SLOs and SLIs
Thirdly, Visualize insights via dashboards and charts, and generate alerts
Fourthly, Collaborate by integrating with Slack, PagerDuty, and other incident management tools
Lastly, Day zero integration for Google Cloud metrics

Explain the Cloud Debugger feature?

Cloud Debugger is a unique feature of Google Cloud Platform that allows you to analyse an application’s status at any code point without halting or slowing it down. Cloud Debugger makes it easy to see the current status of an application without having to add logging lines.

Define Cloud Profiler?

Cloud Profiler is a low-cost, statistical profiler that continuously collects CPU and memory use data from your production apps. It assigns that data to the application’s source code, allowing you to see which areas of the app are consuming the most resources and revealing the code’s performance characteristics.

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