Tredence Interview Questions, Process, and Tips

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

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 ...read more

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

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']