Capgemini Data Engineer Interview Questions, Process, and Tips

Q1. Explain snowflake architecture
Ans. 
Snowflake architecture is a cloud-based data warehousing solution that separates storage and compute resources for scalability and performance.
• Snowflake uses a unique architecture with three layers: storage, compute, and services.

• Storage layer stores data in a columnar format for efficient querying.

• Compute layer processes queries independently, allowing for elastic scalability.

• Services layer manages metadata, security,...read more
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Q1. Coding in sql joins
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SQL joins are used to combine rows from two or more tables based on a related column between them.
• Use INNER JOIN to return rows when there is at least one match in both tables

• Use LEFT JOIN to return all rows from the left table, and the matched rows from the right table

• Use RIGHT JOIN to return all rows from the right table, and the matched rows from the left table

• Use FULL JOIN to return rows when there is a match in on
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Time series
logical reasoing
family tree

Q1. Architecture of Spark
Ans. 
Spark is a distributed computing system that provides an interface for programming clusters with implicit data parallelism.
• Spark is built on the concept of Resilient Distributed Datasets (RDDs), which are fault-tolerant collections of objects.

• It supports various programming languages such as Scala, Java, Python, and R.

• Spark provides high-level APIs for distributed data processing, including transformations and actions.

• ...read more
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Q2. What is Lazy evaluation in spark
Ans. 
Lazy evaluation is a strategy used by Spark to delay the execution of transformations until an action is called.
• Lazy evaluation improves performance by optimizing the execution plan

• Transformations in Spark are not executed immediately, but rather recorded as a lineage graph

• Actions trigger the execution of the transformations and produce a result

• Lazy evaluation allows Spark to optimize the execution plan by combining an...read more
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Q3. Difference between Left join and inner join
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Left join returns all records from the left table and the matching records from the right table.
• Inner join returns only the matching records from both tables.

• Left join includes all records from the left table, even if there are no matches in the right table.

• Inner join excludes the non-matching records from both tables.

• Left join is used to retrieve all records from one table and the matching records from another table.

• I...read more
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Q1. Tell me about yourself
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Q2. Data Engineer GCP question
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Q1. 3-4 SQL queries were asked to write
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Q1. Explain project structure
Ans. 
Project structure refers to the organization of files, folders, and resources within a project.
• Project structure should be logical and easy to navigate

• Common structures include separating code into modules, organizing files by type (e.g. scripts, data, documentation), and using version control

• Example: A data engineering project may have folders for data extraction, transformation, loading, and documentation
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