Tredence Interview Questions, Process, and Tips

Q1. Explain me your experience
Ans. 
I have 5 years of experience in product management, leading cross-functional teams to launch successful products.
• Led cross-functional teams to launch 3 new products in the past year

• Managed product roadmap and prioritized features based on customer feedback

• Collaborated with engineering, design, and marketing teams to ensure product success
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Q2. What yours product management principles
Ans. 
My product management principles are customer-centricity, data-driven decision making, continuous iteration, and cross-functional collaboration.
• Customer-centricity: Always prioritize the needs and wants of the customers when making product decisions.

• Data-driven decision making: Utilize data and analytics to inform product strategy and prioritize features.

• Continuous iteration: Embrace an agile approach to product develo...read more
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Q1. Graphs dsa question
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Q2. System design basics
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Q1. What do you know about tredence youtube recommendation system - explain how it recommend videos ,factors it consider to do so mainly from resume & hobby as usual hr question
Ans. 
Tredence YouTube recommendation system uses algorithms to suggest videos based on user preferences and behavior.
• Tredence YouTube recommendation system uses machine learning algorithms to analyze user data such as watch history, likes, and dislikes.

• It considers factors like video content, user demographics, and engagement metrics to recommend relevant videos.

• For example, if a user frequently watches cooking videos, the ...read more
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Q2. Tell me about yourself
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Q3. About analyst - what they do
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Q4. Why do you want to join this company
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Q5. About projects in your resume
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Aptitude + Technical Questions

Coding Questions of SQL and DSA

Q1. Transpose a matrix in python and machine learning questions
Ans. 
To transpose a matrix in Python, use numpy.transpose() or the T attribute.
• Use numpy.transpose() function to transpose a matrix.

• Alternatively, use the T attribute of a numpy array.

• Example: np.transpose(matrix) or matrix.T
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Q2. What are numpy and pandas
Ans. 
NumPy is a library for numerical computing in Python, while Pandas is a data manipulation and analysis tool.
• NumPy provides support for large, multi-dimensional arrays and matrices, along with a collection of mathematical functions to operate on these arrays.

• Pandas offers data structures like DataFrame for easy data manipulation and analysis, with tools for reading and writing data from various file formats.

• Both librari...read more
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Q3. Visualization libraries in python
Ans. 
Python has various visualization libraries like Matplotlib, Seaborn, Plotly, and Bokeh.
• Matplotlib is a widely used library for creating static, interactive, and animated plots.

• Seaborn is built on top of Matplotlib and provides a high-level interface for creating attractive and informative statistical graphics.

• Plotly is great for creating interactive plots and dashboards.

• Bokeh is another interactive visualization librar...read more
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Q4. Object Oriented Programing
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