About FACTENTRY DATA SOLUTIONS
Company Description
FACTENTRY DATA SOLUTIONS is a leading provider of data management and analytics services, dedicated to empowering organizations through the transformative power of data. With a commitment to innovation, our solutions help businesses harness their data to drive informed decision-making and optimize operational efficiency. Our team comprises talented professionals who thrive in a collaborative work environment that encourages creativity and continuous learning. At FACTENTRY, we prioritize a culture of inclusivity and respect, where every employee is valued for their contributions. We believe in fostering professional growth and providing a supportive atmosphere that celebrates diversity and teamwork. Our modern office space is designed to promote collaboration, featuring open work areas, quiet zones, and state-of-the-art technology.
Data Analyst Interview Questions
Q1: What experience do you have with data visualization tools?
I have extensive experience using tools like Tableau and Power BI to create interactive dashboards and visualizations that help stakeholders understand complex data insights quickly. In my previous role, I developed visual reports that improved decision-making processes for cross-functional teams.
Q2: Can you explain the importance of data cleaning and preparation?
Data cleaning and preparation are crucial for ensuring the accuracy and reliability of data analysis. Dirty data can lead to incorrect conclusions and poor decisions. I always follow best practices in data cleaning to identify and rectify inconsistencies, missing values, and outliers before analysis.
Q3: How do you approach problem-solving when faced with a challenging dataset?
I take a systematic approach to problem-solving. First, I define the problem clearly, then I explore the data to identify potential issues. I often use exploratory data analysis techniques to gain insights and develop hypotheses, followed by applying appropriate statistical methods to validate my findings.
Q4: Describe a time when you had to communicate complex data insights to a non-technical audience.
In my last job, I presented findings from a customer satisfaction survey to the marketing team. I translated the technical data into simple visual graphs and provided actionable insights, focusing on key trends rather than technical jargon. This approach helped the team understand the implications for future campaigns.
Q5: What programming languages do you use for data analysis?
I am proficient in Python and R for data analysis. I use Python for data manipulation with libraries like Pandas and NumPy, and R for statistical analysis and visualization. I also have experience with SQL for querying databases.
Software Engineer Interview Questions
Q1: Can you describe your experience with software development methodologies?
I have worked with Agile and Scrum methodologies, participating in sprint planning, daily stand-ups, and retrospectives. This experience has taught me the importance of iterative development and collaboration within cross-functional teams to deliver high-quality software.
Q2: What programming languages are you most comfortable with, and why?
I am most comfortable with Java and Python. I prefer Java for its robustness and scalability in enterprise applications, while I use Python for its simplicity and efficiency in developing prototypes and scripts. This versatility allows me to adapt to various project needs.
Q3: How do you ensure the quality of your code?
I prioritize code quality by following best practices such as writing unit tests, performing code reviews with peers, and adhering to coding standards. I also use version control systems like Git to track changes and collaborate effectively with my team.
Q4: Can you discuss a challenging technical problem you faced and how you resolved it?
I once encountered a performance bottleneck in an application due to inefficient database queries. I analyzed the queries, optimized them by adding appropriate indexing, and refactored the code to reduce load times significantly. This improved the application’s performance by 30%.
Q5: How do you stay updated with the latest technologies in software development?
I regularly follow industry blogs, participate in online forums, and attend webinars and workshops. I also engage with open-source projects on GitHub to learn from others and keep my skills current with emerging technologies.
Project Manager Interview Questions
Q1: What project management methodologies do you have experience with?
I have experience with both Agile and Waterfall methodologies. I find Agile particularly effective for projects requiring flexibility and rapid iteration, while Waterfall is beneficial for projects with clear, defined requirements.
Q2: How do you prioritize tasks and manage project timelines?
I use tools like Trello and Asana to create detailed project plans, breaking down tasks into manageable parts. I also hold regular check-ins with the team to assess progress and adjust timelines as necessary, ensuring we stay on track to meet deadlines.
Q3: Describe a time when you had to manage a conflict within your team.
In a previous project, two team members had differing opinions on the approach to a task. I facilitated a meeting where each person could present their viewpoint. By encouraging open communication and focusing on project goals, we reached a consensus on a solution that combined both ideas.
Q4: How do you measure project success?
I measure project success based on whether we meet project objectives within the defined scope, budget, and timeline. Additionally, I gather feedback from stakeholders and team members to assess the overall impact and satisfaction with the project's outcome.
Q5: What tools do you use for project management and collaboration?
I utilize tools such as Microsoft Project for planning and tracking progress, Slack for team communication, and Zoom for virtual meetings. These tools help maintain transparency and facilitate collaboration among team members, regardless of location.
Data Scientist Interview Questions
Q1: What key skills do you believe are essential for a data scientist?
Essential skills for a data scientist include strong analytical abilities, proficiency in programming languages like Python or R, expertise in statistical analysis, and experience with machine learning algorithms. Additionally, communication skills are vital for translating findings into actionable insights.
Q2: How do you handle missing data in a dataset?
I evaluate the extent of missing data and consider different strategies based on the context. Options include removing missing entries, imputing values using statistical methods, or using algorithms that handle missing data effectively. My approach depends on the data's nature and the analysis goals.
Q3: Can you explain a machine learning project you worked on and your role in it?
I worked on a project to predict customer churn for a subscription-based service. I was responsible for data cleaning, feature selection, and model building. I used logistic regression and decision trees, ultimately presenting the results and recommendations to the marketing team to enhance retention strategies.
Q4: What experience do you have with big data technologies?
I have hands-on experience with big data technologies such as Apache Hadoop and Spark. I utilized these tools to process and analyze large datasets efficiently, enabling me to derive insights that would be challenging to achieve with traditional data processing methods.
Q5: How do you ensure that your models are not only accurate but also interpretable?
To ensure interpretability, I select models that balance complexity and performance, like decision trees or generalized linear models. I also use techniques such as SHAP values or LIME to explain model predictions, making it easier for stakeholders to understand the rationale behind the results.
Who Is FACTENTRY DATA SOLUTIONS
Based on available research, detailed facts about FACTENTRY DATA SOLUTIONS are limited. However, it operates in the data solutions and financial data services sphere—a sector that attracts candidates adept in analytics, finance, technology, client servicing, and data management. Companies in this industry typically seek professionals with strong quantitative skills, attention to detail, and the ability to handle large datasets. Recruiters in this space look for a mix of technical acumen, domain knowledge, and adaptability, given the fast pace and evolving nature of financial data services.
How the Hiring Process Works
- Application Screening — Your resume and application are reviewed for relevant skills, experience, and alignment with the job description. This stage weeds out candidates who don’t meet basic requirements or lack industry fit.
- Online Assessment or Technical Test — If you pass screening, you may be asked to take an online test. This typically evaluates your technical skills, analytical thinking, and, for client-facing roles, your communication abilities. The aim: filter out those who look good on paper but can’t deliver under pressure.
- Technical Interview — Here, you’ll face in-depth questions (sometimes case studies) relevant to the role. Interviewers want to see how you apply theoretical knowledge to real-world scenarios. Expect a focus on problem-solving and data handling.
- Managerial or HR Interview — This round assesses your fit with the company culture, your motivation, and your ability to communicate and work in teams. It’s about personality, attitude, and professional alignment.
- Offer & Negotiation — If you clear the above, you’ll get a formal offer and possibly enter negotiations regarding salary, role, and joining date.
Interview Rounds in Detail
Application Screening
At this stage, recruiters scan for relevant degrees, certifications, and keywords that match the job description. They look for evidence of experience with data tools, financial markets, or client management—depending on the role. Common mistake: submitting a generic resume that doesn't highlight specific skills sought in the data solutions sector.
Online Assessment or Technical Test
Expect tests in Excel, SQL, financial concepts, or basic programming (for technical roles). Some companies include logical reasoning or aptitude sections. The goal: verify you aren’t bluffing about your technical proficiency. Many candidates stumble by underestimating speed or accuracy requirements, or by failing to prep with sample questions in advance.
Technical Interview
Interviewers dig deep. They may ask you to solve data problems on the spot, explain past projects, or walk through your approach to a hypothetical client request. Don’t be surprised if you’re challenged on assumptions. The most common pitfall: being too theoretical or vague about real-world applications.
Managerial or HR Interview
This round is about culture and communication. Expect behavioral questions (“Describe a time you handled a difficult client”) and scenario-based discussions. They want to know if you’ll mesh with the team and can handle pressure or ambiguity. Mistakes here often involve giving generic answers or failing to back up claims with real examples.
Questions Candidates Are Actually Asked
Technical/Data Analyst Roles
- Explain a financial dataset you’ve handled and how you cleaned it. — Tests practical data management skills and attention to detail.
- How would you automate a repetitive data entry task? — Assesses problem-solving and familiarity with automation tools or scripts.
- Walk me through a time you found an error in a client report. What did you do? — Gauges integrity, initiative, and communication skills.
- Write an SQL query to extract specific fields from a large database. — Purely technical: can you code efficiently under pressure?
- What are the key challenges in maintaining accurate financial data feeds? — Sees if you understand industry pain points.
Client-Facing/Operations Roles
- Describe a difficult client and how you managed expectations. — Tests communication, emotional intelligence, and professionalism.
- How do you prioritize tasks when deadlines collide? — Looks for organizational skills and ability to function under time pressure.
- Give an example of a process you improved in your last job. — Assesses initiative and continuous improvement mindset.
HR or Managerial Stage
- Why do you want to work in financial data solutions? — Probes motivation and industry commitment.
- What’s your biggest professional failure and what did you learn? — Tests humility and growth mindset.
- How do you handle feedback or criticism? — Evaluates coachability and resilience.
Eligibility — What They Look For
In this sector, a bachelor’s degree in finance, business, mathematics, computer science, or a related discipline is typically expected. Some roles may require advanced degrees or certifications (like CFA, FRM, or data analytics certificates), especially for specialized positions. Industry experience is a strong advantage, but some firms consider high-potential freshers who can demonstrate analytical and technical skills. Ultimately, what matters most is proven ability to work with data, mastery of key tools (Excel, SQL, Python), and, for client-facing roles, strong communication and organizational skills.
Common Roles and What Each Involves
Roles at companies like FACTENTRY DATA SOLUTIONS generally fall into a few categories:
- Data Analyst — Managing, cleaning, and interpreting large financial datasets; preparing reports; spotting anomalies.
- Financial Research Associate — Conducting market and company research, preparing financial models, supporting research publications.
- Client Support Specialist — Responding to queries, managing data delivery, and ensuring client satisfaction.
- Software/Data Engineer — Building and maintaining data pipelines, automating data processes, and supporting backend systems.
- Quality Assurance Analyst — Designing and executing tests to ensure data accuracy and process reliability.
Salary Ranges
| Role | Level | Estimated CTC (INR) |
|---|---|---|
| Data Analyst | Entry | 3.5–5.5 LPA (estimated) |
| Financial Research Associate | Entry–Mid | 4–7 LPA (estimated) |
| Client Support Specialist | Entry–Mid | 3–5.5 LPA (estimated) |
| Software/Data Engineer | Junior | 5–9 LPA (estimated) |
| Quality Assurance Analyst | Entry | 3–5 LPA (estimated) |
Disclaimer: These are industry estimates based on similar companies in the financial data solutions sector. Actual salaries at FACTENTRY DATA SOLUTIONS may differ. In this sector, pay is generally competitive with other mid-sized data firms, but may not match large MNCs or leading tech startups.
How Hard Is the Interview?
Candidates report that interviews at companies in this space are moderately challenging. The technical rounds are rigorous, with a focus on practical skills rather than just theory. The biggest hurdle is often the technical assessment—many underestimate the depth and speed required. The HR round is usually straightforward, but being too generic or failing to show real enthusiasm can be costly. Experienced candidates say success comes down to thorough prep and clear, honest answers.
Preparation Strategy That Works
- Practice with real financial datasets; use Excel and, if possible, SQL or Python. Don’t just read theory—actually clean and analyze sample data.
- Take online mock tests in logical reasoning and data interpretation. Timed practice is critical.
- Prepare two or three strong stories from your past work/education that demonstrate problem-solving, leadership, and resilience.
- Brush up on financial market basics and current industry trends; be ready to discuss recent news or market events.
- If applying for client-facing roles, rehearse answers to common behavioral questions and practice explaining technical concepts to non-experts.
- Review your resume line by line—be ready to discuss any detail or project you’ve listed.
- For technical roles, do at least 2–3 coding challenges and review basic data structures and algorithms.
Work Culture and Environment
Day-to-day life in this sector is structured but can be fast-paced, especially around deadlines or client deliverables. Teamwork and cross-functional collaboration are common; expect to work with diverse colleagues—analysts, engineers, client managers. People who thrive are detail-oriented, proactive, and comfortable juggling multiple tasks. Transparency, accountability, and a willingness to learn matter more here than flashy credentials. Those who adapt quickly and communicate well tend to rise fastest. The environment is less formal than a big MNC, but not as chaotic as a startup.
Career Growth and Learning Path
Progression is realistic for those who deliver results and show initiative. In this sector, high performers move from analyst or associate roles to senior analyst, team lead, or even managerial positions within 3–5 years. Learning is hands-on—expect to pick up new technical tools, financial concepts, and client management skills on the job. Some firms offer structured training, but self-motivation is key. Lateral movement into related functions (product, quality, tech) is common for those who show interest and aptitude.
Mistakes That Get Candidates Rejected
Some patterns come up again and again. Overstating technical abilities and then blanking on basic questions—classic mistake. Submitting a generic, non-tailored resume is another. In interviews, candidates who give vague or textbook answers, can’t back up stories with specifics, or fail to show genuine interest in data/finance roles, rarely make it through. Poor communication or a defensive attitude when given feedback also raises red flags. Last, not asking any questions at the end signals a lack of engagement.
How FACTENTRY DATA SOLUTIONS Compares to Similar Employers
| Aspect | FACTENTRY DATA SOLUTIONS | Typical MNC | Startup in Same Space |
|---|---|---|---|
| Interview Difficulty | Moderate; practical focus | Often more rounds, formalized | Can be unpredictable; sometimes very tough |
| Specialisation | Focused on data/financial services | Broader, more generalist roles | Highly specialized or niche |
| Salary | Competitive for mid-sized firm (estimated) | Usually higher, more benefits | Varies; sometimes equity, sometimes lean cash |
| Culture | Professional, less rigid than MNC | Structured, formal | Flexible, sometimes chaotic |
| Growth | Merit-based progression, hands-on learning | Slower, more layers | Fast for self-starters, but risky |
Expert Advice Before You Apply
Don’t apply blindly. Read the job description critically and only apply if you meet at least 70% of the requirements. If you’re missing a technical skill, take a crash course and get hands-on practice before applying. Make your resume highly relevant—highlight projects and achievements, not just duties. Reach out to current or former employees on LinkedIn for insight on the interview process. Prepare to explain why you want a data-focused role and what excites you about this domain, not just why you want a job. Finally: if you’re not genuinely interested in data, analytics, or finance, this probably isn’t your best fit.
Frequently Asked Questions
How many interview rounds does FACTENTRY DATA SOLUTIONS have?
Typically, candidates report 3–5 rounds: application screening, online assessment, technical interview, managerial or HR round, and sometimes a final negotiation or offer discussion.
Is prior industry experience required?
For most mid-level and specialized roles, yes—industry experience is preferred. Entry-level candidates can sometimes break in if they demonstrate strong technical and analytical abilities.
What salary can I expect at FACTENTRY DATA SOLUTIONS?
Based on industry estimates, entry-level roles may offer between 3–5.5 LPA, while more technical or experienced positions could reach up to 7–9 LPA. Actual figures may vary; confirm during the interview process.
How long does the hiring process take?
Typically 2–4 weeks from application to offer, but it can vary depending on the role and the urgency of hiring needs.
Is there an online test or written assessment?
Yes, most candidates report an online technical or aptitude assessment as part of the process, especially for analyst and technical roles.
Does FACTENTRY DATA SOLUTIONS hire freshers or entry-level candidates?
Candidates report that some entry-level positions are available for freshers with strong academic records and relevant skills.
What is the work culture like at FACTENTRY DATA SOLUTIONS?
Culture is described as professional but not overly formal. Teams are collaborative, and employees are expected to be proactive and adaptable.
Final Perspective
FACTENTRY DATA SOLUTIONS is a strong fit for candidates who genuinely enjoy working with data, have a methodical approach to problem-solving, and value continuous learning. If you’re looking for a merit-driven environment where your skills matter more than your pedigree, you’ll likely thrive. But if you prefer rigid hierarchies, slow change, or minimal client interaction, reconsider—this space rewards agility, initiative, and hands-on problem solving. Success here looks like taking ownership, delivering results, and building expertise that’s valuable across the broader financial and data analytics landscape.
FACTENTRY DATA SOLUTIONS Interview Questions and Answers
Updated 21 Feb 2026Business Intelligence Analyst Interview Experience
Candidate: Sophie Chen
Experience Level: Mid-level
Applied Via: LinkedIn
Difficulty:
Final Result:
Interview Process
3
Questions Asked
- How do you design a dashboard for executives?
- Explain ETL processes.
- What BI tools have you used?
- Describe a time you improved a reporting process.
- How do you handle conflicting data sources?
Advice
Demonstrate your ability to communicate insights clearly and your technical skills with BI tools.
Full Experience
I applied via LinkedIn and was contacted for a phone interview focusing on my experience with BI tools. The second round was a practical test designing a dashboard from sample data. The final round was a panel interview discussing business scenarios and problem-solving. The team was professional and the process was well-structured.
Software Engineer Interview Experience
Candidate: Liam Smith
Experience Level: Entry-level
Applied Via: Campus recruitment
Difficulty:
Final Result:
Interview Process
2
Questions Asked
- Explain OOP concepts.
- Write a function to reverse a string.
- What is a REST API?
- Describe your final year project.
- How do you debug code?
Advice
Review basic programming concepts and be prepared to talk about your projects and internships.
Full Experience
The campus recruitment process was straightforward with a coding test followed by a technical interview. The interviewers were encouraging and the questions focused on fundamentals and problem-solving skills. It was a great experience for a fresh graduate.
Product Manager Interview Experience
Candidate: Maria Lopez
Experience Level: Mid-level
Applied Via: Company website
Difficulty:
Final Result:
Interview Process
3
Questions Asked
- How do you prioritize product features?
- Describe a time you managed a cross-functional team.
- How do you gather customer feedback?
- Explain a product you launched and the impact it had.
- What metrics do you track for product success?
Advice
Focus on product management frameworks and be ready to share real examples from your experience.
Full Experience
Applied through the company website and was invited for a phone interview focusing on my background. The second round was a case study where I had to propose a product roadmap. The final round was with senior leadership discussing strategy and culture fit. The interviewers were supportive and interested in my approach to product challenges.
Data Scientist Interview Experience
Candidate: Rajesh Kumar
Experience Level: Senior
Applied Via: Referral
Difficulty: Hard
Final Result: Rejected
Interview Process
4
Questions Asked
- Explain the bias-variance tradeoff.
- How would you build a recommendation system?
- Describe your experience with machine learning frameworks.
- Write a Python function to implement logistic regression.
- How do you validate a model's performance?
Advice
Prepare deeply on machine learning concepts and coding exercises. Practical experience with ML libraries is crucial.
Full Experience
I was referred by a current employee which fast-tracked my application. The rounds included a phone technical interview, a coding test, a case study presentation, and a final HR round. The technical rounds were quite challenging, especially the coding and case study. Despite good feedback, I was not selected due to a stronger candidate.
Data Analyst Interview Experience
Candidate: Alice Johnson
Experience Level: Mid-level
Applied Via: Online job portal
Difficulty:
Final Result:
Interview Process
3
Questions Asked
- Explain the difference between supervised and unsupervised learning.
- How do you handle missing data in a dataset?
- Describe a project where you used SQL to extract insights.
- What visualization tools have you used?
- How do you ensure data quality and accuracy?
Advice
Brush up on SQL and data visualization tools like Tableau or Power BI. Be ready to discuss past projects in detail.
Full Experience
The process started with an online application followed by a phone screening focusing on my resume and experience. The second round was a technical test involving SQL queries and data cleaning tasks. The final round was an in-person interview with the team, focusing on problem-solving and behavioral questions. Overall, the interviewers were friendly and the questions were relevant to the role.
Frequently Asked Questions in FACTENTRY DATA SOLUTIONS
Have a question about the hiring process, company policies, or work environment? Ask the community or browse existing questions here.
Common Interview Questions in FACTENTRY DATA SOLUTIONS
Q: In a sports contest there were m medals awarded on n successive days (n > 1). 1. On the first day 1 medal and 1/7 of the remaining m - 1 medals were awarded. 2. On the second day 2 medals and 1/7 of the now remaining medals was awarded; and so on.On the nth and last day, the remaining n medals were awarded.How many days did the contest last, and how many medals were awarded altogether?
Q: A hare and a tortoise have a race along a circle of 100 yards diameter. The tortoise goes in one directionand the hare in the other. The hare starts after the tortoise has covered 1/5 of its distance and that too leisurely.The hare and tortoise meet when the hare has covered only 1/8 of the distance. By what factor should the hareincrease its speed so as to tie the race?
Q: Consider a pile of Diamonds on a table. A thief enters and steals 1/2 of the total quantity and then again 2 extra from the remaining. After some time a second thief enters and steals 1/2 of the remaining+2. Then 3rd thief enters and steals 1/2 of the remaining+2. Then 4th thief enters and steals 1/2 of the remaining+2. When the 5th one enters he finds 1 diamond on the table. Find out the total no. of diamonds originally on the table before the 1st thief entered.
Q: The citizens of planet nigiet are 8 fingered and have thus developed their decimal system in base 8. A certain street in nigiet contains 1000 (in base 8) buildings numbered 1 to 1000. How many 3s are used in numbering these buildings?
Q: ABCDE are sisters. Each of them gives 4 gifts and each receives 4 gifts No two sisters give the same combination ( e.g. if A gives 4 gifts to B then no other sisters can give four to other one.)Â (i) B gives four to A.(ii) C gives 3 to E. How much did A,B,C,E give to D?
Q: A long, long time ago, two Egyptian camel drivers were fighting for the hand of the daughter of the sheik of Abbudzjabbu. The sheik, who liked neither of these men to become the future husband of his daughter, came up with a clever plan: a race would dete
Q: Tom has three boxes with fruits in his barn: one box with apples, one box with pears, and one box with both apples and pears. The boxes have labels that describe the contents, but none of these labels is on the right box. How can Tom, by taking only one p
Q: Jarius and Kylar are playing the game. If Jarius wins, then he wins twice as many games as Kylar. If Jarius loses, then Kylar wins as the same number of games that Jarius wins. How many do Jarius and Kylar play before this match?
Q: In a Park, N persons stand on the circumference of a circle at distinct points. Each possible pair of persons, not standing next to each other, sings a two-minute song ? one pair immediately after the other. If the total time taken for singing is 28 minutes, what is N?
Q: If I walk with 30 miles/hr i reach 1 hour before and if i walk with 20 miles/hr i reach 1 hour late. Find the distance between 2 points and the exact time of reaching destination is 11 am then find the speed with which it walks.
Q: There are four dogs/ants/people at four corners of a square of unit distance. At the same instant all of them start running with unit speed towards the person on their clockwise direction and will always run towards that target. How long does it take for them to meet and where?
Q: Given a collection of points P in the plane , a 1-set is a point in P that can be separated from the rest by a line, .i.e the point lies on one side of the line while the others lie on the other side. The number of 1-sets of P is denoted by n1(P)....
Q: Consider a series in which 8 teams are participating. each team plays twice with all other teams. 4 of them will go to the semi final. How many matches should a team win, so that it will ensure that it will go to semi finals.?
Q: In a country where everyone wants a boy, each family continues having babies till they have a boy. After some time, what is the proportion of boys to girls in the country? (Assuming probability of having a boy or a girl is the same)
Q: An escalator is descending at constant speed. A walks down and takes 50 steps to reach the bottom. B runs down and takes 90 steps in the same time as A takes 10 steps. How many steps are visible when the escalator is not operating.Â
Q: A family X went for a vacation. Unfortunately it rained for 13 days when they were there. But whenever it rained in the mornings, they had clear afternoons and vice versa. In all they enjoyed 11 mornings and 12 afternoons. How many days did they stay there totally?
Q: A person meets a train at a railway station coming daily at a particular time. One day he is late by 25 minutes, and he meets the train 5 k.m. before the station. If his speed is 12 kmph, what is the speed of the train.
Q: In mathematics country 1,2,3,4....,8,9 are nine cities. Cities which form a no. that is divisible by 3 are connected by air planes. (e.g. cities 1 & 2 form no. 12 which divisible by 3 then 1 is connected to city 2). Find the total no. of ways you can go to 8 if you are allowed to break the journeys.
Q: The profit made by a company in one year is enough to give 6% return on all shares. But as the preferred shares get on return of 7.5%, so the ordinary shares got on return of 5%. If the value of preferred shares is Rs 4,000000, then what is the va...
Q: There are 4 cars . They all are coming from different directions. They have to cross through one square.They all arrive at the same time. Nobody stops . still there is no clash .note : They all are driving at a speed if 100 km/hr.
