Platform Engineer
20+ Platform Engineer Interview Questions and Answers
You are given a singly Linked List of integers. Your task is to return true if the given singly linked list is a palindrome otherwise returns false.
For example:
The given linked list is 1...read more
Imagine that you are having a choice to enter a room which has 3 bulbs only once. Outside the room you can see the 3 switches of respective bulbs where you have a chance to switch on and off multiple time...read more
Platform Engineer Interview Questions and Answers for Freshers
Q3. System design for Coffee vending machine.
Designing a coffee vending machine system.
Identify the types of coffee to be offered
Determine the payment methods (cash, card, mobile payment)
Select the appropriate hardware components (dispenser, grinder, etc.)
Develop software for user interface and payment processing
Implement sensors for inventory management
Ensure regular maintenance and cleaning
Consider energy efficiency and sustainability
Write an SQL statements for the given situation and database table
Q5. how to do EDA of dataset using python (df.describe)
Exploratory Data Analysis (EDA) of a dataset using Python's df.describe function.
Use df.describe() to get summary statistics of the dataset.
Check for missing values, outliers, and distribution of data.
Visualize the data using plots like histograms, box plots, and scatter plots.
Use additional libraries like matplotlib and seaborn for more advanced visualizations.
Q6. what aws core services have you used and why
I have used AWS core services such as EC2, S3, RDS, and Lambda for infrastructure provisioning, storage, database management, and serverless computing.
EC2 - for provisioning virtual servers to run applications
S3 - for scalable object storage
RDS - for managed relational databases
Lambda - for serverless computing and running code without provisioning or managing servers
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Q7. given a program to aggregate the sensor values based upon condition
The program aggregates sensor values based on a condition.
Use a loop to iterate through the sensor values
Apply the condition to filter the values
Aggregate the filtered values using a suitable method
Return the aggregated result
Q8. Scaling patterns for distributed system.
Scaling patterns for distributed system
Horizontal scaling - adding more instances of the same component
Vertical scaling - increasing the resources of a single instance
Sharding - partitioning data across multiple nodes
Caching - storing frequently accessed data in memory
Load balancing - distributing traffic across multiple nodes
Auto-scaling - automatically adjusting resources based on demand
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Q9. How do you deploy the application using helm
Helm is a package manager for Kubernetes that helps in deploying applications.
Create a Helm chart for the application
Customize values in the values.yaml file
Run 'helm install
' to deploy the application Use 'helm upgrade' to make changes to the deployment
Monitor the deployment using 'helm status'
Q10. what is big endian and small endian?
Big endian and small endian are two different ways of storing and interpreting multi-byte data in computer memory.
Big endian stores the most significant byte first, while small endian stores the least significant byte first.
Big endian is used by network protocols like TCP/IP, while small endian is used by x86 processors.
For example, the number 0x12345678 is stored as 12 34 56 78 in big endian, and 78 56 34 12 in small endian.
Q11. share the screen and explain the code
The candidate is asked to share and explain code on the screen.
Prepare to explain the code structure, logic, and any specific functions or methods used.
Highlight any key features or optimizations in the code.
Be ready to answer questions about the code's functionality and potential improvements.
Q12. Kubernetes architecture and administration in depth.
Kubernetes is a container orchestration platform that automates the deployment, scaling, and management of containerized applications.
Kubernetes follows a master-slave architecture where the master node controls the cluster and the worker nodes run the containers.
Key components of Kubernetes architecture include Pods, Nodes, Clusters, Services, and Controllers.
Kubernetes administration involves tasks like deploying applications, scaling resources, monitoring cluster health, a...read more
Q13. Kubernetes and its core compenent
Kubernetes is a container orchestration platform that automates deployment, scaling, and management of containerized applications.
Kubernetes has several core components including the API server, etcd, kubelet, kube-proxy, and the container runtime.
The API server is the central management point for Kubernetes and exposes the Kubernetes API.
etcd is a distributed key-value store that stores the configuration data for Kubernetes.
kubelet is responsible for managing the state of ea...read more
Q14. What is useEffect
useEffect is a hook in React that allows performing side effects in function components.
Used to perform side effects in function components
Runs after every render by default
Can specify dependencies to control when it runs
Q15. Wether number is prime or not
A prime number is a number greater than 1 that has no positive divisors other than 1 and itself.
Check if the number is greater than 1
Iterate from 2 to the square root of the number and check if it is divisible by any number
If it is not divisible by any number, then it is a prime number
Q16. How do you optimise database
Optimizing database involves indexing, query optimization, normalization, and proper hardware configuration.
Use indexing to speed up data retrieval
Optimize queries by avoiding unnecessary joins and using appropriate indexes
Normalize database tables to reduce redundancy and improve data integrity
Consider hardware configuration like storage type and memory allocation for optimal performance
Q17. Platform for ingesting streaming data
Apache Kafka is a popular platform for ingesting streaming data.
Apache Kafka is a distributed streaming platform that can handle high volumes of data in real-time.
It allows for the ingestion, storage, and processing of streaming data from various sources.
Kafka provides fault tolerance, scalability, and high throughput for streaming data pipelines.
Q18. CI-CD pipeline explanation
CI-CD pipeline automates software delivery process, from code changes to production deployment.
Automates building, testing, and deploying code changes
Ensures code quality and consistency
Facilitates faster and more frequent releases
Integrates with version control systems like Git
Tools like Jenkins, GitLab CI/CD, and CircleCI are commonly used
Q19. What is cosine similarity
Cosine similarity is a measure of similarity between two non-zero vectors of an inner product space.
It measures the cosine of the angle between two vectors.
Values range from -1 (completely opposite) to 1 (completely similar).
Used in information retrieval, text mining, and recommendation systems.
Q20. hashicorp vault setup
HashiCorp Vault is a tool for securely storing and accessing secrets.
HashiCorp Vault provides a centralized place to store sensitive data such as API keys, passwords, and certificates.
It offers features like encryption, access control, and audit logging to ensure security.
Vault can be integrated with various cloud providers, databases, and applications to manage secrets effectively.
Configuration of Vault involves setting up authentication methods, policies, and secret engines...read more
Q21. Linux Booting process
Linux booting process involves several stages including BIOS, bootloader, kernel loading, and initialization.
BIOS (Basic Input/Output System) performs Power-On Self Test (POST) and locates the bootloader
Bootloader (GRUB, LILO) loads the kernel into memory and initializes the system
Kernel initializes hardware, mounts the root filesystem, and starts system services
Init process (systemd, SysVinit) starts user-space processes and services
Q22. Helm install vs helm upgrades
Helm install is used to initially install a chart, while helm upgrade is used to update an existing release with new values or a new chart version.
Helm install is used to deploy a new release of a chart for the first time.
Helm upgrade is used to update an existing release with new values or a new chart version.
Helm install creates a new release, while helm upgrade updates an existing release.
Helm install can be used with the --name flag to specify a release name, while helm u...read more
Q23. Day today tasks
Day to day tasks involve managing and maintaining platform infrastructure, troubleshooting issues, implementing automation, and collaborating with other teams.
Managing and maintaining platform infrastructure
Troubleshooting issues related to platform performance or availability
Implementing automation for repetitive tasks
Collaborating with other teams to ensure smooth operation of the platform
Q24. Run level in linux
Run levels in Linux are different operating modes that determine which services and processes are running.
Run levels range from 0 to 6, with each level having a specific purpose.
Run level 0 is for system halt, run level 1 is for single-user mode, run level 6 is for system reboot.
Run level 3 is typically used for full multi-user mode with networking, run level 5 is for full multi-user mode with graphical interface.
The default run level can be set in the /etc/inittab file or by...read more
Q25. stateful in k8s
Stateful in k8s refers to managing stateful applications in Kubernetes.
StatefulSets are used to manage stateful applications in Kubernetes.
Stateful applications require persistent storage for data.
StatefulSets provide stable, unique network identifiers and stable storage.
Stateful applications maintain state across restarts or rescheduling.
Examples of stateful applications include databases like MySQL or MongoDB.
Q26. states in terraform
Using states in Terraform to manage infrastructure
Terraform state is used to store information about the infrastructure being managed
State files can be stored locally or remotely
State files should be stored securely to prevent unauthorized access
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