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Ontario teachers' pension plan Interview Questions and Answers
Ques:- How do you manage working on projects with new technology or tools you’re not familiar with
Right Answer:
I approach new technologies by first researching and understanding the basics through documentation and tutorials. I then practice using the tools in small projects or exercises to gain hands-on experience. Additionally, I seek help from colleagues or online communities when needed, and I stay adaptable by being open to learning and adjusting my approach as I gain more knowledge.
Ques:- How do you stay positive when faced with uncertainty or unexpected challenges
Right Answer:
I stay positive by focusing on what I can control, maintaining a flexible mindset, seeking support from others, and viewing challenges as opportunities for growth and learning.
Ques:- What steps do you take to ensure that you can pivot quickly when necessary
Right Answer:
To ensure I can pivot quickly when necessary, I take the following steps:

1. Stay informed about industry trends and changes.
2. Maintain flexibility in my plans and strategies.
3. Foster open communication with my team to share insights and feedback.
4. Regularly assess and review project progress and outcomes.
5. Develop a mindset that embraces change and encourages innovation.
Ques:- How to create a plan? What is resource leveling? How time sheets are created in PWA? What is a baseline?
Right Answer:
To create a plan, define project goals, identify tasks, estimate durations, assign resources, and establish a timeline. Resource leveling is the process of adjusting the start and finish dates of tasks to balance resource allocation and avoid overloading. Timesheets in Project Web App (PWA) are created by users logging hours worked on tasks, which can then be submitted for approval. A baseline is a fixed reference point that captures the original project plan, including scope, schedule, and cost, allowing for performance comparison throughout the project.
Ques:- If you were to deliver a project to a customer, and timely delivery depended upon a sub-supplier, how would you manage the supplier? What contractual agreements would you put in place?
Right Answer:
To manage the supplier effectively, I would establish clear communication channels and set regular check-in meetings to monitor progress. I would include specific performance metrics and deadlines in the contract, along with penalties for delays and incentives for early delivery. Additionally, I would ensure there are clauses for risk management and contingency plans in case of unforeseen issues.
Ques:- Define project float?
Right Answer:
Project float, also known as slack, is the amount of time that a project task can be delayed without affecting the overall project timeline or the start date of subsequent tasks.
Ques:- What is your hobby and how you deal with work pressure in target timing?
Right Answer:
My hobby is reading, which helps me relax and recharge. To deal with work pressure and meet deadlines, I prioritize tasks, break them into manageable steps, and maintain open communication with my team to ensure we stay on track.
Ques:- What are organizational influences?
Right Answer:
Organizational influences are the factors within an organization that affect how projects are managed and executed. These include the organization's culture, structure, policies, processes, resources, and stakeholder expectations.
Ques:- What is the pivot operator in MS SQL Server2005? What is the use of it and how do we use it
Right Answer:
The PIVOT operator in MS SQL Server 2005 is used to transform rows into columns, allowing for easier data analysis and reporting. It is typically used to aggregate data and present it in a more readable format.

To use the PIVOT operator, you follow this syntax:

```sql
SELECT <non-pivoted column>, [column1], [column2], ...
FROM
(
SELECT <non-pivoted column>, <pivoted column>, <aggregate function>
FROM <table>
) AS SourceTable
PIVOT
(
<aggregate function>(<pivoted column>)
FOR <pivoted column> IN ([column1], [column2], ...)
) AS PivotTable;
```

Replace `<non-pivoted column>`, `<pivoted column>`, `<aggregate function>`, and `<table>` with your specific data and requirements.
Ques:- Why to use Cross Join in Sql Server?
Right Answer:
A Cross Join in SQL Server is used to combine every row from one table with every row from another table, resulting in a Cartesian product. It is useful when you need to generate combinations of all records from both tables without any specific join condition.
Ques:- In a Distributed Database System Can we execute two queries simultaneously ? Justify ?
Right Answer:
Yes, in a Distributed Database System, we can execute two queries simultaneously. This is possible because distributed databases can handle multiple transactions concurrently across different nodes, allowing for parallel processing of queries.
Ques:- How do you analyze and interpret data from surveys or questionnaires
Right Answer:

Analyzing survey or questionnaire data means turning raw responses into meaningful insights. The goal is to understand what your audience thinks, feels, or experiences based on their answers.

There are two main types of survey data:

- Quantitative data: Numerical responses (e.g., ratings, multiple-choice answers)
- Qualitative data: Open-ended, written responses (e.g., comments, opinions)

🔍 How to Analyze Survey Data:

1. Clean the Data
 Remove incomplete or inconsistent responses. Make sure all data is accurate and usable.

2. Categorize the Questions
 Separate your questions into types:
– Yes/No or Multiple Choice (Closed-ended)
 - Rating Scales (e.g., 1 to 5)
 - Open-Ended (Written answers)

3. Use Descriptive Statistics
 For closed-ended questions:
– Count how many people chose each option
 - Calculate percentages, averages, and medians
 - Use charts like bar graphs or pie charts to visualize trends

4. Look for Patterns and Trends
 Compare responses between different groups (e.g., by age, location, or gender)
 Identify common opinions or issues that many people mentioned

5. Analyze Open-Ended Responses
 Group similar comments into categories or themes
 Highlight key quotes that illustrate major concerns or ideas

6. Draw Conclusions
 What do the results tell you?
 What actions can be taken based on the responses?
 Are there surprises or areas for improvement?

Explanation:

Imagine a survey asking: “How satisfied are you with our service?” (1 = Very Unsatisfied, 5 = Very Satisfied)

  • Average score: 4.3

  • 75% of respondents gave a 4 or 5

  • Common feedback: “Fast delivery” and “Great support team”

From this, you can conclude that most customers are happy, especially with your speed and support.

Ques:- How do you interpret data presented in tables, charts, and graphs
Right Answer:

Interpreting data from tables, charts, and graphs means turning visual information into insights. It involves understanding what’s being shown, comparing values, identifying patterns or trends, and drawing conclusions based on the visual representation.

Each format serves a unique purpose:

🔹 Tables
Tables present exact data in rows and columns. Focus on headers to know what each row and column means, and scan the data to find highs, lows, and patterns.

🔹 Charts & Graphs
Visual tools like bar charts, line graphs, pie charts, and scatter plots help you quickly compare values, track changes over time, or understand relationships between variables.

Key tips:

  • Read titles, labels, and legends carefully

  • Look for trends (increasing, decreasing, steady)

  • Compare heights, lengths, or angles visually

  • Watch for anomalies or outliers

Ques:- How do you interpret data from histograms and frequency distributions
Right Answer:

Interpreting data from histograms and frequency distributions means understanding how values in a dataset are spread across different ranges. These tools help you see patterns, identify where most values lie, and spot any unusual data.

A frequency distribution is a table that shows how often each value (or range of values) occurs. A histogram is a visual version of this—a bar chart where each bar represents a range of values and its height shows how many times those values appear.

Explanation:

When looking at a histogram, pay attention to:

The tallest bars: These show where most of the data is concentrated.

The shape: Is it symmetrical, skewed to one side, or has multiple peaks?

The spread: Are the values close together or spread out widely?

Outliers: Are there any bars far away from the rest?

Ques:- What is the difference between mean, median, and mode, and how are they used in data interpretation
Right Answer:

Mean, median, and mode are the three main measures of central tendency. They help you understand the “center” or most typical value in a set of numbers. While they all give insight into your data, each one works slightly differently and is useful in different situations.

🔹 Mean (Average)

  • What it is: The sum of all values divided by the number of values.

  • Formula: Mean = (Sum of all values) ÷ (Number of values)

  • When to use: When you want the overall average, and your data doesn’t have extreme outliers.

📊 Example:
Data: 5, 10, 15
Mean = (5 + 10 + 15) ÷ 3 = 30 ÷ 3 = 10

✅ Interpretation: The average value in the dataset is 10.

🔹 Median (Middle Value)

  • What it is: The middle value when all numbers are arranged in order.

  • When to use: When your data has outliers or is skewed, and you want the true center.

📊 Example:
Data: 3, 7, 9, 12, 50
Sorted order → Middle value = 9
(Median is not affected by 50 being much larger.)

✅ Interpretation: Half the values are below 9 and half are above.

🔹 Mode (Most Frequent Value)

  • What it is: The number that appears most often in the dataset.

  • When to use: When you want to know which value occurs the most (especially for categorical data).

📊 Example:
Data: 2, 4, 4, 4, 6, 7
Mode = 4 (because it appears the most)

✅ Interpretation: The most common value in the dataset is 4.

📌 Summary Table:

Measure Best For Sensitive to Outliers? Works With
Mean Average of all values Yes Numerical data
Median Center value No Ordered numerical data
Mode Most frequent value No Numerical or categorical data
Ques:- How do you interpret data in scatter plots and how do they show relationships between variables
Right Answer:

A scatter plot is a type of graph that helps you understand the relationship between two variables. Each dot on the plot represents one observation in your data — showing one value on the X-axis and another on the Y-axis.

By looking at the pattern of the dots, you can quickly see whether the two variables are related in any way.

Explanation:

Scatter plots help you answer questions like:

Do the variables increase together? (positive relationship)

Does one decrease while the other increases? (negative relationship)

Are the points spread randomly? (no clear relationship)

You might also notice:

Clusters or groups of data points

Outliers (points that fall far away from the rest)

Curved patterns (which could show nonlinear relationships)

The overall direction and shape of the dots tell you how strong or weak the relationship is.

Ques:- What are key performance indicators KPIs in market research
Right Answer:
Key performance indicators (KPIs) in market research are measurable values that help assess the effectiveness and success of marketing strategies. Common KPIs include customer satisfaction scores, market share, brand awareness, conversion rates, and return on investment (ROI).
Ques:- What is market research and why is it important
Right Answer:
Market research is the process of gathering, analyzing, and interpreting information about a market, including information about the target audience, competitors, and industry trends. It is important because it helps businesses understand customer needs, identify market opportunities, make informed decisions, and reduce risks associated with launching new products or services.
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