WhiteBlue Cloud Services Interview Questions and Answers

Q1. What are the key components of the Kubernetes control plane?
Ans. 
Key components of the Kubernetes control plane include API server, scheduler, controller manager, and etcd.
• API server: serves the Kubernetes API and is the front-end for the control plane

• Scheduler: responsible for assigning workloads to nodes based on resource availability

• Controller manager: manages different controllers that regulate the state of the cluster

• etcd: distributed key-value store that stores cluster state a
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Q2. How to create a Docker file? What are the contents of the Docker file?
Ans. 
Creating a Docker file involves defining the steps to build a Docker image.
• Start with a base image using the 'FROM' keyword

• Add any necessary dependencies or packages using 'RUN' commands

• Set environment variables with 'ENV' command

• Copy files or directories into the image using 'COPY' command

• Expose ports with 'EXPOSE' command

• Define the command to run when the container starts with 'CMD' or 'ENTRYPOINT' command
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Q3. How do you deploy a load balancer to your Kubernetes Cluster?
Ans. 
To deploy a load balancer to a Kubernetes Cluster, you can use a Kubernetes Service of type LoadBalancer.
• Create a Kubernetes Service manifest with type LoadBalancer.

• Specify the ports and target port for the service.

• Apply the service manifest to the Kubernetes cluster.

• The cloud provider will provision a load balancer and assign an external IP to it.

• Clients can now access the application through the external IP of the lo
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Q4. What's your experience with automation using shell scripting? Write a Shell script about what you automate recently
Ans. 
I have extensive experience with automation using shell scripting.
• Automated deployment of Kubernetes clusters using shell scripts

• Automated backup and restore processes for Kubernetes resources

• Automated monitoring and alerting setup for Kubernetes environments
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Q5. How do you manage networking in a Kubernetes cluster?
Ans. 
Networking in a Kubernetes cluster is managed through various components like CNI plugins, Service objects, Ingress controllers, and Network Policies.
• Use Container Network Interface (CNI) plugins to enable communication between pods in the cluster.

• Utilize Service objects to expose pods internally or externally within the cluster.

• Implement Ingress controllers to manage external access to services within the cluster.

• Enfo...read more
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Q6. How is storage allocation and management done on an on-prem Kubernetes deployment?
Ans. 
Storage allocation and management on on-prem Kubernetes involves using persistent volumes and storage classes.
• Persistent volumes (PVs) are created and managed separately from pods.

• Storage classes define different types of storage and their properties.

• PVs are dynamically provisioned based on storage class definitions.

• Pods can request specific storage requirements using Persistent Volume Claims (PVCs).
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Q7. What are the key differences between Chart.yaml and values.yaml?
Ans. 
Chart.yaml defines metadata about the chart, while values.yaml contains configurable values for the chart.
• Chart.yaml contains metadata such as name, version, and description of the chart.

• values.yaml contains configurable values that can be overridden during chart installation.

• Chart.yaml is used for defining the structure of the chart, while values.yaml is used for customizing the chart.

• Example: Chart.yaml may have 'nam...read more
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Q8. What are Scheduler, API Server, and Ingress Controller in Kubernetes?
Ans. 
Scheduler, API Server, and Ingress Controller are key components in Kubernetes responsible for scheduling, managing API requests, and managing external access to services.
• Scheduler: Component responsible for assigning workloads to nodes based on resource availability and constraints.

• API Server: Component that serves as the front-end for Kubernetes, handling API requests, authentication, and validation.

• Ingress Controlle...read more
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Q9. How to version your application's container image in an artifactory?
Ans. 
Versioning container images in an artifactory involves tagging images with version numbers.
• Tag the container image with a version number before pushing it to the artifactory.

• Use semantic versioning (e.g. 1.0.0) for clear version identification.

• Maintain a consistent versioning scheme to track changes and updates.

• Automate the versioning process using CI/CD pipelines for efficiency.

• Ensure proper documentation of version c
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Q1. Core Technical Questions
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Q2. Technical Questions with advance lvl
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Q1. Leadership Discussion
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Q1. In office Leadership discussion
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Q1. Final discussion
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Q1. Fully scenario based questions...even if we tell the answer they are expecting the optimized solution
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General topics like distance speed

Current affair topics were asked to check the knowledge

Q1. It was merely an introduction about the candidate
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