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Senseforth Interview Questions and Answers
9 Interview questions
Text embedding is a technique to convert text data into numerical vectors for machine learning models.
Text embedding captures semantic meaning of words in a continuous vector space.
Popular methods include Word2Vec, GloVe, and BERT.
Embeddings can be pre-trained or learned from scratch depending on the task.
They are used in NLP tasks like sentiment analysis, text classification, and machine translation.
Build an airline system to recommend routes from city 1 to city 2 with direct and connecting flights.
Create a graph with cities as nodes and connections as edges
Use Dijkstra's algorithm to find shortest path between city 1 and city 2
For connecting flights, find all possible paths with one or more stops
Sort and recommend routes based on total distance and number of stops
Layer normalisation is a technique used to normalise the inputs to each layer of a feedforward neural network.
It is similar to batch normalisation but normalises the inputs to each layer instead of the entire batch.
It helps in reducing the internal covariate shift problem.
It can be applied to any type of activation function.
It is particularly useful in recurrent neural networks.
Example: LayerNorm in PyTorch.
This function takes a string input and returns all possible combinations of characters in that string without repeated letters.
Use the itertools module to generate all possible permutations of the string.
Filter out the permutations that have repeated letters using a set.
Convert the filtered permutations into a list of strings.
The project life cycle consists of initiation, planning, execution, monitoring and control, and closure.
Initiation: Defining the project scope, objectives, and stakeholders.
Planning: Developing a detailed project plan, including timelines, budget, and resources.
Execution: Implementing the project plan and completing the work.
Monitoring and Control: Tracking progress, identifying and managing risks, and making nece...
A WBS is a hierarchical breakdown of project deliverables into smaller, manageable components.
WBS is used to organize and define the scope of a project
It breaks down the project into smaller, more manageable components
Each component is called a work package
The WBS is hierarchical, with the top level being the project deliverable and the lower levels being the work packages
It helps in estimating project costs, time...
Effort estimation is the process of predicting the amount of time, resources, and cost required to complete a project or task.
Effort estimation is crucial for project planning and management.
It involves breaking down the project into smaller tasks and estimating the time and resources required for each task.
Various techniques can be used for effort estimation, such as expert judgment, historical data analysis, and...
Optimizers exist in FFNs to update weights, but many exist due to different optimization techniques and trade-offs.
Different optimizers use different optimization techniques such as momentum, adaptive learning rates, and regularization.
Optimizers have different trade-offs such as convergence speed, generalization, and robustness to noisy data.
The choice of optimizer depends on the specific problem and data set.
Exa...
One of the challenges in the project was integrating multiple NLP models with different architectures.
Ensuring compatibility and consistency between models
Handling different input formats and output structures
Optimizing performance and computational resources
Addressing potential conflicts or biases between models
Senseforth Interview Experiences
3 interviews found
(2 Questions)
- Q1. Challenges in project
- Ans.
One of the challenges in the project was integrating multiple NLP models with different architectures.
Ensuring compatibility and consistency between models
Handling different input formats and output structures
Optimizing performance and computational resources
Addressing potential conflicts or biases between models
- Q2. What is text embedding?
- Ans.
Text embedding is a technique to convert text data into numerical vectors for machine learning models.
Text embedding captures semantic meaning of words in a continuous vector space.
Popular methods include Word2Vec, GloVe, and BERT.
Embeddings can be pre-trained or learned from scratch depending on the task.
They are used in NLP tasks like sentiment analysis, text classification, and machine translation.
Interview Preparation Tips
I applied via Recruitment Consulltant and was interviewed in Jan 2022. There were 2 interview rounds.
(6 Questions)
- Q1. (based on my introduction) How does transformers work? what powers them and what’s inside?
- Q2. What is the purpose of activation functions? (after my answer that to introduce non-linearity), if that’s the case, why there are very less activation functions available? why can’t any function be an acti...
- Q3. Why does optimisers exist in feed-forward networks(FFNs)? (based on my answer that is to update weights) why does so many optimisers exist, if all that they need to do is to update weights, why does so man...
- Ans.
Optimizers exist in FFNs to update weights, but many exist due to different optimization techniques and trade-offs.
Different optimizers use different optimization techniques such as momentum, adaptive learning rates, and regularization.
Optimizers have different trade-offs such as convergence speed, generalization, and robustness to noisy data.
The choice of optimizer depends on the specific problem and data set.
Examples...
- Q4. What is layer normalisation in FFNs?
- Ans.
Layer normalisation is a technique used to normalise the inputs to each layer of a feedforward neural network.
It is similar to batch normalisation but normalises the inputs to each layer instead of the entire batch.
It helps in reducing the internal covariate shift problem.
It can be applied to any type of activation function.
It is particularly useful in recurrent neural networks.
Example: LayerNorm in PyTorch.
- Q5. You are to build an airline system to recommend all possible routes from city 1 to city 2, direct routes and routes with connecting other cities. and all the data you have available is if two cities are co...
- Ans.
Build an airline system to recommend routes from city 1 to city 2 with direct and connecting flights.
Create a graph with cities as nodes and connections as edges
Use Dijkstra's algorithm to find shortest path between city 1 and city 2
For connecting flights, find all possible paths with one or more stops
Sort and recommend routes based on total distance and number of stops
- Q6. Write a python function that takes a string input and returns all possible combinations of characters in that string and not include the combinations with repeated letters. for ex, input is ‘abc’, outputs ...
- Ans.
This function takes a string input and returns all possible combinations of characters in that string without repeated letters.
Use the itertools module to generate all possible permutations of the string.
Filter out the permutations that have repeated letters using a set.
Convert the filtered permutations into a list of strings.
Interview Preparation Tips
Skills evaluated in this interview
I applied via Recruitment Consultant and was interviewed before Nov 2019. There were 3 interview rounds.
Interview Questionnaire
4 Questions
- Q1. What do you know about the effort estimation and how it is done?
- Ans.
Effort estimation is the process of predicting the amount of time, resources, and cost required to complete a project or task.
Effort estimation is crucial for project planning and management.
It involves breaking down the project into smaller tasks and estimating the time and resources required for each task.
Various techniques can be used for effort estimation, such as expert judgment, historical data analysis, and para...
- Q2. What is a WBS (Work Break Down Structure) ?
- Ans.
A WBS is a hierarchical breakdown of project deliverables into smaller, manageable components.
WBS is used to organize and define the scope of a project
It breaks down the project into smaller, more manageable components
Each component is called a work package
The WBS is hierarchical, with the top level being the project deliverable and the lower levels being the work packages
It helps in estimating project costs, time and ...
- Q3. What was the most challenging situation in a project and how did you handled it?
- Q4. What is the project life cycle or different phases in a project?
- Ans.
The project life cycle consists of initiation, planning, execution, monitoring and control, and closure.
Initiation: Defining the project scope, objectives, and stakeholders.
Planning: Developing a detailed project plan, including timelines, budget, and resources.
Execution: Implementing the project plan and completing the work.
Monitoring and Control: Tracking progress, identifying and managing risks, and making necessary...
Interview Preparation Tips
Skills evaluated in this interview
Top trending discussions
Interview questions from similar companies
I appeared for an interview before Jun 2016.
Interview Questionnaire
1 Question
- Q1. Java related questions on Oops concept and Multithreading
Interview Preparation Tips
Experience: Simple aptitude and reasoning questions little java based programming
Tips: Basic programming knowledge and good aptitude
Duration: 1 hour
Total Questions: 60
Round: Technical Interview
Experience: Normal questions on Java, basic programming questions like reverse no. , String related and logical coding
Tips: What u mentioned on your resume go through that only, they will not ask apart from your resume
Skills: How Well You Are Able To Communicate What You Wanted To Tell, Programming
College Name: SRCEM
I appeared for an interview before Aug 2016.
Interview Preparation Tips
Experience: I am vinothkumar from Dindugal, I was studied computer engineering in Madurai institute of engineering and technology at sivagangai, I am quality controller in RR DONNELLY at Chennai, my experience 2 years, my family staying in native, my father palanichami he is a former, my mother tamilselvi she is home maker and my one yelder brother Vijayakumar he is driver, I am interested area software engineer, my hobbies are listening music, reading book and news paper, playing and watching cricket
Tips: No comments
Round: Test
Experience: I am vinothkumar from Dindugal, I was studied computer engineering in Madurai institute of engineering and technology at sivagangai, I am quality controller in RR DONNELLY at Chennai, my experience 2 years, my family staying in native, my father palanichami he is a former, my mother tamilselvi she is home maker and my one yelder brother Vijayakumar he is driver, I am interested area software engineer, my hobbies are listening music, reading book and news paper, playing and watching cricket
Tips: No comments
Total Questions: 15
Round: Test
Experience: See my mentality
Tips: No comments
Duration: 45 minutes
Round: Group Discussion
Experience: Communication
Tips: No comments
Skills: Communication And Confidence
I applied via Campus Placement and was interviewed before Sep 2019. There were 5 interview rounds.
Interview Questionnaire
8 Questions
- Q1. What were you stressed last time?
- Ans.
I felt stressed last month while managing a tight project deadline and coordinating with multiple stakeholders.
Tight deadlines: I had to deliver a project report within a week, which usually takes two weeks.
Stakeholder communication: Coordinating with different teams created confusion and misalignment.
Work-life balance: I struggled to maintain my personal time due to extended work hours.
- Q2. Explain C language to a non technical person?
- Ans.
C is a programming language used to create software and operating systems.
C is a low-level language that allows direct access to computer hardware.
It is used to create efficient and fast programs.
C is the foundation for many other programming languages such as C++, Java, and Python.
Examples of C programs include operating systems, device drivers, and video games.
- Q3. Why you want to join XenonStack?
- Ans.
I am drawn to XenonStack for its innovative approach to technology and commitment to driving impactful business solutions.
XenonStack's focus on cutting-edge technologies like AI and cloud computing aligns with my passion for innovation.
The company's commitment to data-driven decision-making resonates with my analytical skills and experience in data analysis.
I admire XenonStack's collaborative culture, which fosters tea...
- Q4. Why should we hire your?
- Ans.
I bring a unique blend of analytical skills, industry knowledge, and a passion for problem-solving that aligns with your team's goals.
Proven track record in data analysis: Successfully improved operational efficiency by 20% in my previous role through data-driven insights.
Strong communication skills: Effectively collaborated with cross-functional teams to gather requirements and deliver actionable solutions.
Adaptabilit...
- Q5. What are your weekness?
- Ans.
I tend to be overly detail-oriented, which can slow down my decision-making process at times.
I often spend too much time on data analysis, which can delay project timelines. For example, in a recent project, I took extra time to ensure every data point was accurate, which pushed back our delivery date.
I sometimes struggle with delegating tasks because I want to ensure everything is done perfectly. This was evident when...
- Q6. Introduce yourself?
- Ans.
I am a detail-oriented Business Analyst with a passion for data-driven decision-making and a strong background in project management.
Over 5 years of experience in business analysis across various industries, including finance and healthcare.
Skilled in gathering and analyzing requirements, as demonstrated in a project where I improved a client's reporting process by 30%.
Proficient in using tools like SQL and Tableau for...
- Q7. Asked about project i have done
- Q8. Your Hobbies
- Ans.
My hobbies include hiking, photography, and cooking.
Hiking: I enjoy exploring nature trails and challenging myself physically.
Photography: I love capturing beautiful moments and landscapes through my camera lens.
Cooking: I find joy in experimenting with new recipes and creating delicious meals for my friends and family.
Interview Preparation Tips
Don't lie in any way.
Say no to things ypu don't know about.
Skills evaluated in this interview
I applied via Naukri.com and was interviewed in Oct 2021. There was 1 interview round.
Interview Questionnaire
2 Questions
- Q1. About your self,expectedly salary
- Q2. How many months to you work in the company
Interview Preparation Tips
Interview Questionnaire
1 Question
- Q1. Situation based question on experience
Interview Preparation Tips
Interview Questionnaire
2 Questions
- Q1. Yell me about yourself
- Q2. How uh celebrated ur last birthday
- Ans.
I celebrated my last birthday with a cozy gathering of friends, delicious food, and heartfelt moments that made it truly special.
Hosted a small gathering at my home with close friends.
Prepared a homemade dinner featuring my favorite dishes, like pasta and garlic bread.
Decorated the space with balloons and fairy lights to create a festive atmosphere.
Played games and shared stories, which brought back fond memories.
Ended...
Software Developer Interview Questions & Answers
Juspay Technologies
Anonymous
posted on 16 Aug 2024
Selected
I applied via LinkedIn and was interviewed before Aug 2023. There was 1 interview round.
DSA-keep practicing multithreading questions
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