Finonyx Senior Principal Engineer Interview Questions and Answers

I designed HMI screens by first understanding user requirements, creating wireframes, selecting appropriate design tools, and conducting user testing.

• Understand user requirements before starting the design process

• Create wireframes to visualize layout and functionality

• Select appropriate design tools such as Adobe XD or Sketch

• Conduct user testing to gather feedback and make necessary adjustments

CV2X, CV2I, CV2G are different communication technologies used in the automotive industry for vehicle-to-everything communication.

• CV2X stands for Cellular Vehicle-to-Everything and uses cellular networks for communication between vehicles, infrastructure, pedestrians, and other devices.

• CV2I stands for Cellular Vehicle-to-Infrastructure and focuses on communication between vehicles and infrastructure such as traffic lig...read more

I have extensive experience working onsite at various client locations, collaborating with cross-functional teams to deliver successful projects.

• Managed onsite team to ensure project milestones were met

• Facilitated communication between onsite and offsite teams

• Resolved technical issues on-site to keep project on track

I performed bench testing on various components to ensure functionality and reliability.

• Tested electronic components for voltage and current levels

• Conducted stress tests on mechanical parts to assess durability

• Analyzed data from bench tests to identify any issues or improvements needed

Yes, I am willing to travel to Trivandrum for the role of Lead Engineer.

• I am open to travel for work opportunities

• I have previous experience traveling for work

• I am excited about the prospect of working in Trivandrum

I have appeared for interviews at companies like Google, Amazon, and Microsoft.

• Google

• Amazon

• Microsoft

Use a hash set to remove duplicates in an array of strings

• Create a hash set to store unique elements

• Iterate through the array and add each element to the hash set

• Convert the hash set back to an array to get the unique elements

React virtual DOM is a lightweight copy of the actual DOM, used for efficient updates and rendering in React applications.

• Virtual DOM is a concept where a lightweight copy of the actual DOM is created in memory.

• React uses virtual DOM to efficiently update and render components without directly manipulating the actual DOM.

• When changes are made to the virtual DOM, React calculates the most efficient way to update the act...read more

React hooks are functions that let you use state and other React features without writing a class.

• React hooks were introduced in React 16.8 to allow functional components to have state and lifecycle methods.

• useState() is a hook that allows you to add state to functional components.

• useEffect() is a hook that allows you to perform side effects in functional components.

• useContext() is a hook that allows you to use the con...read more

Python libraries commonly used by data engineers include Pandas, NumPy, Matplotlib, and Scikit-learn.

• Pandas: Used for data manipulation and analysis.

• NumPy: Provides support for large, multi-dimensional arrays and matrices.

• Matplotlib: Used for creating visualizations and plots.

• Scikit-learn: Offers machine learning algorithms and tools for data analysis.

PySpark is a Python API for Apache Spark, a powerful open-source distributed computing system.

• PySpark allows users to write Spark applications using Python programming language.

• It provides high-level APIs in Python for Spark's functionality, making it easier to work with large datasets.

• PySpark can be used for data processing, machine learning, graph processing, and more.

• Example: PySpark can be used to perform data anal...read more

Delta Lake is an open-source storage layer that brings ACID transactions to Apache Spark and big data workloads.

• Provides ACID transactions for big data workloads

• Ensures data reliability and quality by enabling schema enforcement and data versioning

• Supports batch and streaming data processing

• Improves data quality and reliability by enabling schema enforcement and data versioning

Create end to end pipelines in Data Factory with SQL and ASQL as source and target respectively.

• Use Copy Data activity to move data from SQL source to ASQL target

• Define linked services for SQL and ASQL in Data Factory

• Create datasets for SQL and ASQL tables

• Map columns between source and target datasets

• Configure data flow activities for any transformations needed

GraphQL is a query language for APIs, Web workers run scripts in background threads, Service workers are scripts that run in the background and can intercept network requests.

• GraphQL is a query language for APIs that allows clients to request only the data they need.

• Web workers run scripts in background threads separate from the main browser thread, improving performance by handling tasks concurrently.

• Service workers a...read more