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Aptitude + Technical Questions
Coding Questions of SQL and DSA
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
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...
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...
I applied via Job Portal and was interviewed in Aug 2024. There was 1 interview round.
Easy one practice rs agarwal
Aptitude test consist of 4 segment
1. Quantitative aptitude
2.verbal ability
3. Data interpretation
4. Short written ( who is better gifted or hard worker..??) this question ask to me AND second question is on guesstimating (how much car sold in India in 2018 ) solved based on assumption and calculations.
5. It was consign round which has 3 questions 1 easy 1 moderate 1 tough of 20,20,50 marks respectively
To reduce error in a model, I use techniques like cross-validation, regularization, and feature selection. I use matrices like confusion matrix and correlation matrix. Data is mapped using techniques like normalization and encoding.
Reduce error in model by using techniques like cross-validation, regularization, and feature selection
Use matrices like confusion matrix to evaluate classification models and correlation mat...
Tredence interview questions for popular designations
Get interview-ready with Top Tredence Interview Questions
Pizza chain distance calculation
I applied via Job Portal and was interviewed in Oct 2023. There was 1 interview round.
Use SQL query with ORDER BY and LIMIT to find the 2nd highest salary.
Use ORDER BY clause to sort the salaries in descending order
Use LIMIT 1,1 to skip the highest salary and get the 2nd highest salary
I applied via campus placement at Indian Institute of Technology (IIT), Kanpur and was interviewed in Feb 2024. There were 2 interview rounds.
Coding test which requires python and few aptitude and technical questions
I applied via Naukri.com and was interviewed before Jul 2023. There were 2 interview rounds.
Custom reports in Salesforce allow users to create personalized reports based on specific criteria.
Custom reports can be created by selecting the desired fields, filters, and grouping criteria.
Users can also add charts, graphs, and tables to visualize the data in the report.
Custom reports can be scheduled to run at specific times and be shared with other users.
Examples of custom reports include sales performance by reg...
Salesforce is a CRM platform used for various implementations like sales, marketing, customer service, etc.
Sales Cloud for sales automation
Service Cloud for customer service management
Marketing Cloud for marketing automation
Community Cloud for building online communities
Einstein Analytics for data analysis
Company's expectations should be clearly communicated to employees to ensure alignment and success.
Clearly outline job responsibilities and performance metrics
Provide regular feedback and opportunities for growth
Encourage open communication and collaboration within teams
I applied via campus placement at National Institute of Technology (NIT), Raipur and was interviewed before Jul 2023. There were 3 interview rounds.
55 ML questions and aptitude and 3 python questions and 2 sql questions
Standardisation and normalisation are techniques used to scale and transform data in order to improve model performance.
Standardisation (Z-score normalisation) scales the data to have a mean of 0 and a standard deviation of 1.
Normalisation (Min-Max scaling) scales the data to a specific range, typically between 0 and 1.
Standardisation is less affected by outliers compared to normalisation.
Standardisation is preferred w...
Outliers can be handled by identifying, analyzing, and either removing or transforming them in the data.
Identify outliers using statistical methods like Z-score or IQR.
Analyze the outliers to understand if they are errors or valid data points.
Remove outliers if they are errors or transform them using techniques like winsorization or log transformation.
Consider using robust statistical methods that are less sensitive to...
Box-plot is a visual representation of the distribution of a dataset, showing the median, quartiles, and outliers.
Box-plot displays the median (middle line), quartiles (box), and outliers (dots or lines).
The length of the box represents the interquartile range (IQR).
Whiskers extend to the smallest and largest non-outlier data points within 1.5 times the IQR from the quartiles.
Outliers are plotted individually as dots o...
I manage my time by prioritizing tasks, creating schedules, setting deadlines, and using time management tools.
Prioritize tasks based on importance and deadlines
Create daily or weekly schedules to allocate time for different tasks
Set deadlines for each task to stay on track
Use time management tools like calendars, to-do lists, and productivity apps
Avoid multitasking and focus on one task at a time
Take breaks to avoid b
I want to join Tredence because of their reputation for cutting-edge data science projects and collaborative work environment.
Tredence is known for their innovative data science projects
I value the collaborative work environment at Tredence
I believe Tredence will provide opportunities for professional growth and development
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+19-14 Yrs
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