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I applied via Campus Placement 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 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
I want to join Tredence because of its reputation for innovative solutions and strong focus on professional development.
Tredence has a reputation for providing innovative solutions in the analytics and consulting industry
I am impressed by Tredence's commitment to professional development and growth opportunities for employees
I believe that Tredence's collaborative and supportive work culture aligns with my values and c
Tredence interview questions for popular designations
I applied via Naukri.com and was interviewed in Sep 2023. There was 1 interview round.
I have used activities such as Copy Data, Execute Pipeline, Lookup, and Data Flow in Data Factory.
Copy Data activity is used to copy data from a source to a destination.
Execute Pipeline activity is used to trigger another pipeline within the same or different Data Factory.
Lookup activity is used to retrieve data from a specified dataset or table.
Data Flow activity is used for data transformation and processing.
To execute a second notebook from the first notebook, you can use the %run magic command in Jupyter Notebook.
Use the %run magic command followed by the path to the second notebook in the first notebook.
Ensure that the second notebook is in the same directory or provide the full path to the notebook.
Make sure to save any changes in the second notebook before executing it from the first notebook.
Data lake storage is optimized for big data analytics and can store structured, semi-structured, and unstructured data. Blob storage is for unstructured data only.
Data lake storage is designed for big data analytics and can handle structured, semi-structured, and unstructured data
Blob storage is optimized for storing unstructured data like images, videos, documents, etc.
Data lake storage allows for complex queries and ...
Get interview-ready with Top Tredence Interview Questions
I have used techniques like hyperparameter tuning, feature engineering, and model selection in Databricks for optimization.
Hyperparameter tuning using GridSearchCV or RandomizedSearchCV
Feature engineering to create new features or transform existing ones
Model selection using techniques like cross-validation or ensemble methods
I applied via Campus Placement and was interviewed before Sep 2023. There was 1 interview round.
Cut the cake into 3 equal parts using 2 straight cuts
Make the first cut horizontally through the middle of the cake
Make the second cut vertically through the middle of the cake, perpendicular to the first cut
Each slice will be a third of the cake
Use a set to find unique elements in an array of strings
Create a set from the array to automatically remove duplicates
Convert the set back to an array to get unique elements
Example: ['apple', 'banana', 'apple', 'orange'] -> ['apple', 'banana', 'orange']
I applied via Campus Placement
Some advanced coding questions on dp, strings
Was maths quants etc
I applied via Naukri.com and was interviewed in Sep 2023. There were 2 interview rounds.
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