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Tredence Data Engineer Interview Questions and Answers

Updated 16 Dec 2024

Q1. How will you execute second notebook from first notebook?

Ans.

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.

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Q2. What activities you have used in data factory?

Ans.

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.

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Q3. like create a database of the collages composes of students and professors

Ans.

Create a database to store information about colleges, students, and professors.

  • Create tables for colleges, students, and professors

  • Include columns for relevant information such as name, ID, courses, etc.

  • Establish relationships between the tables using foreign keys

  • Use SQL queries to insert, update, and retrieve data

  • Consider normalization to avoid data redundancy

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Q4. Difference between data lake storage and blob storage?

Ans.

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 analytics on diverse data types

  • Blob storage is more cost-e...read more

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Q5. How do you optimize your code?

Ans.

Optimizing code involves identifying bottlenecks, improving algorithms, using efficient data structures, and minimizing resource usage.

  • Identify and eliminate bottlenecks in the code by profiling and analyzing performance.

  • Improve algorithms by using more efficient techniques and data structures.

  • Use appropriate data structures like hash maps, sets, and arrays to optimize memory usage and access times.

  • Minimize resource usage by reducing unnecessary computations and memory alloca...read more

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Q6. What is SQL window function?

Ans.

SQL window function is used to perform calculations across a set of table rows related to the current row.

  • Window functions operate on a set of rows related to the current row

  • They can be used to calculate running totals, moving averages, rank, etc.

  • Examples include ROW_NUMBER(), RANK(), SUM() OVER(), etc.

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Q7. What is data bricks

Ans.

Data bricks is a unified analytics platform that provides a collaborative environment for data scientists, engineers, and analysts.

  • Data bricks simplifies the process of building data pipelines and training machine learning models.

  • It allows for easy integration with various data sources and tools, such as Apache Spark and Delta Lake.

  • Data bricks provides a scalable and secure platform for processing big data and running analytics workloads.

  • It offers features like interactive no...read more

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Interview Process at Tredence Data Engineer

based on 8 interviews
2 Interview rounds
Technical Round - 1
Technical Round - 2
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