Sunera Technologies Software Engineer Interview Questions and Answers

Binary search is a divide and conquer algorithm that efficiently finds the target value within a sorted array.

• Start by defining the low and high indices of the array.

• Calculate the middle index and compare the target value with the middle element.

• If the target value is less than the middle element, search the left subarray. If greater, search the right subarray.

• Repeat the process until the target value is found or the s

CI/CD flow stands for Continuous Integration/Continuous Deployment flow, which is a software development practice where code changes are automatically built, tested, and deployed.

• CI/CD flow involves automating the process of integrating code changes into a shared repository, running automated tests, and deploying the changes to production.

• Continuous Integration (CI) focuses on automating the build and testing of code c...read more

Enums are a feature in programming languages that allow you to define a set of named constants.

• Enums can be used to improve code readability by giving meaningful names to values

• Enums can be used in switch statements to handle different cases

• Enums can have associated values or raw values for more flexibility

Yes, Singleton handles synchronization by ensuring only one instance of a class is created and providing global access to that instance.

• Singleton pattern restricts the instantiation of a class to one object.

• It provides a global point of access to the instance.

• Synchronization can be implemented in the Singleton pattern to ensure thread safety.

• Example: Singleton pattern is commonly used in database connections to ensure

External libraries are pre-written code that can be imported and used in a project to provide additional functionality.

• External libraries help in reducing development time by providing ready-made solutions for common tasks.

• Examples include React for front-end development, NumPy for scientific computing in Python, and Retrofit for making network calls in Android apps.

Optimisation techniques in Pyspark and sample code for SCD type 2

• Use broadcast variables to reduce data shuffling

• Partition data based on key columns to improve performance

• Use cache() or persist() to avoid recomputing data

• Use coalesce() or repartition() to reduce the number of partitions

• For SCD type 2, use merge() function to update or insert new records

• Example code for SCD type 2: https://github.com/awantik/pyspark-101

I have worked with huge data sets in the past.

• I have experience working with data sets ranging from a few gigabytes to several terabytes.

• One of the toughest problems I faced was optimizing a query that was taking too long to execute.

• I resolved it by analyzing the query plan and identifying the bottleneck, then optimizing the query accordingly.

• Another challenge I faced was dealing with data inconsistencies, which I reso...read more

Our project architecture follows a microservices approach with containerization using Docker and orchestration with Kubernetes.

• We have divided our application into smaller, independent services that communicate with each other through APIs.

• Each service is containerized using Docker, allowing for easy deployment and scaling.

• We use Kubernetes for orchestration, which automates the deployment, scaling, and management of o...read more