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Qgenda Interview Questions and Answers
Ques:- How does the ARM Compiler handle floating-point operations
Right Answer:
The ARM Compiler handles floating-point operations by using hardware floating-point units (FPU) when available, which allows for efficient execution of floating-point calculations. If an FPU is not present, it emulates floating-point operations in software. The compiler also provides options to control floating-point precision and optimization levels.
Ques:- How do you debug a failed graph in a production environment
Right Answer:
To debug a failed graph in a production environment, follow these steps:

1. **Check Logs**: Review the error logs generated by the graph for any specific error messages.
2. **Identify the Failure Point**: Determine which component or transformation caused the failure by analyzing the logs and the graph's execution flow.
3. **Validate Input Data**: Ensure that the input data is in the expected format and does not contain any anomalies.
4. **Run in Debug Mode**: If possible, run the graph in debug mode to step through the execution and observe the behavior of each component.
5. **Check Environment Variables**: Verify that all necessary environment variables and configurations are correctly set.
6. **Test Components Individually**: Isolate and test individual components or transformations to identify issues.
7. **Consult Documentation**: Refer to Ab Initio documentation for error codes and troubleshooting tips related to the specific error encountered.
8. **Engage with Team**: Collaborate with team members
Ques:- How do you ensure reusability and modularity in Ab Initio graphs
Right Answer:
To ensure reusability and modularity in Ab Initio graphs, you can use the following practices:

1. **Create reusable components**: Design reusable graphs and components (like subgraphs and reusable transformations) that can be called from multiple graphs.
2. **Use parameter files**: Implement parameter files to manage configurations and settings, allowing the same graph to be used in different contexts.
3. **Modular design**: Break down complex graphs into smaller, manageable subgraphs that focus on specific tasks, promoting clarity and reusability.
4. **Standardize naming conventions**: Use consistent naming conventions for graphs, components, and parameters to make them easily identifiable and reusable.
5. **Documentation**: Maintain clear documentation for each graph and component, explaining its purpose and how to use it, which aids in reusability.
Ques:- What is a BSW module and can you name a few examples
Right Answer:
A BSW (Basic Software) module is a software component in the AUTOSAR architecture that provides standardized services and functionalities to the application layer and other software components. Examples of BSW modules include:

1. ECU Abstraction Layer (ECU-AL)
2. Microcontroller Abstraction Layer (MCAL)
3. Operating System (OS)
4. Communication Services (e.g., CAN, LIN)
5. Diagnostic Services (e.g., DCM)
Ques:- What is the difference between sender-receiver and client-server communication
Right Answer:
Sender-receiver communication is a one-to-one communication model where a sender transmits messages directly to a receiver, typically used for periodic data exchange. Client-server communication, on the other hand, involves a client requesting services or data from a server, which processes the request and sends back a response, often used for more complex interactions and service-oriented architectures.
Ques:- What are Webhooks and how do they differ from APIs
Right Answer:
Webhooks are user-defined HTTP callbacks that are triggered by specific events in a web application, allowing real-time data transfer. They differ from APIs in that APIs require a request to be made to receive data, while webhooks automatically send data when an event occurs without needing a request.
Ques:- What is the difference between synchronous and asynchronous API calls
Right Answer:
Synchronous API calls wait for the response before moving on to the next task, while asynchronous API calls allow the program to continue executing other tasks while waiting for the response.
Ques:- What is the difference between REST and SOAP APIs
Right Answer:
REST (Representational State Transfer) is an architectural style that uses standard HTTP methods and is typically more lightweight and easier to use, while SOAP (Simple Object Access Protocol) is a protocol that relies on XML for message format and has strict standards for security and transactions. REST is generally more flexible and faster, while SOAP is more suited for enterprise-level services requiring high security and reliability.
Ques:- What is the role of an API Gateway in microservices architecture
Right Answer:
An API Gateway acts as a single entry point for clients to access multiple microservices, handling requests, routing them to the appropriate services, managing authentication, rate limiting, and aggregating responses.
Ques:- What is an API and how does it work
Right Answer:
An API (Application Programming Interface) is a set of rules and protocols that allows different software applications to communicate with each other. It defines the methods and data formats that applications can use to request and exchange information. APIs work by sending requests from one application to another, which then processes the request and sends back a response.
Ques:- What are the different types of data distributions
Right Answer:
The different types of data distributions include:

1. Normal Distribution
2. Binomial Distribution
3. Poisson Distribution
4. Uniform Distribution
5. Exponential Distribution
6. Log-Normal Distribution
7. Geometric Distribution
8. Beta Distribution
9. Chi-Squared Distribution
10. Student's t-Distribution
Ques:- What is classification analysis and how does it work
Right Answer:
Classification analysis is a data analysis technique used to categorize data into predefined classes or groups. It works by using algorithms to learn from a training dataset, where the outcomes are known, and then applying this learned model to classify new, unseen data based on its features. Common algorithms include decision trees, logistic regression, and support vector machines.
Ques:- What is the purpose of feature engineering in data analysis
Right Answer:
The purpose of feature engineering in data analysis is to create, modify, or select variables (features) that improve the performance of machine learning models by making the data more relevant and informative for the analysis.
Ques:- What are some common data analysis tools and software
Right Answer:
Some common data analysis tools and software include:

1. Microsoft Excel
2. R
3. Python (with libraries like Pandas and NumPy)
4. SQL
5. Tableau
6. Power BI
7. SAS
8. SPSS
9. Google Analytics
10. Apache Spark
Ques:- How do you handle missing data in a dataset
Right Answer:
To handle missing data in a dataset, you can use the following methods:

1. **Remove Rows/Columns**: Delete rows or columns with missing values if they are not significant.
2. **Imputation**: Fill in missing values using techniques like mean, median, mode, or more advanced methods like KNN or regression.
3. **Flagging**: Create a new column to indicate missing values for analysis.
4. **Predictive Modeling**: Use algorithms to predict and fill in missing values based on other data.
5. **Leave as Is**: In some cases, you may choose to leave missing values if they are meaningful for analysis.
Ques:- How do you approach Agile at scale (e.g., SAFe, LeSS) for larger teams or organizations
Right Answer:
I would assess the organization's context, choose a suitable scaling framework like SAFe or LeSS based on needs, implement it incrementally with training and coaching, focusing on value delivery, and continuously inspect and adapt the implementation based on feedback and results.
Ques:- What is the difference between Kanban and Scrum, and when would you use each
Right Answer:
Kanban focuses on visualizing workflow, limiting work in progress (WIP), and continuous flow. Scrum uses time-boxed iterations (sprints) with specific roles (Scrum Master, Product Owner, Development Team) and events (sprint planning, daily scrum, sprint review, sprint retrospective).

Use Kanban when you need continuous delivery, have evolving priorities, and want to improve workflow incrementally. Use Scrum when you need structured development with fixed-length iterations, have clear goals for each iteration, and benefit from team collaboration with defined roles.
Ques:- What is Agile methodology, and how does it differ from traditional project management approaches
Right Answer:
Agile is an iterative and incremental approach to project management that focuses on collaboration, flexibility, and customer satisfaction. Unlike traditional, sequential (waterfall) methods, Agile embraces change throughout the project lifecycle through short development cycles called sprints.
Ques:- Can you explain the key principles of the Agile Manifesto
Right Answer:
The Agile Manifesto values:

* **Individuals and interactions** over processes and tools.
* **Working software** over comprehensive documentation.
* **Customer collaboration** over contract negotiation.
* **Responding to change** over following a plan.

That is, while the items on the right have value, we value the items on the left more.
Ques:- How do you handle difficult stakeholders or team members in an Agile environment
Right Answer:
* **Listen actively:** Understand their concerns and perspective.
* **Communicate clearly and frequently:** Keep them informed about progress and challenges.
* **Find common ground:** Focus on shared goals and objectives.
* **Be transparent:** Share data and evidence to support decisions.
* **Facilitate collaboration:** Encourage open dialogue and problem-solving.
* **Coach and mentor:** Help team members grow and improve.
* **Escalate when necessary:** Involve a Scrum Master or manager if the situation doesn't improve.
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