Capgemini Gcp Data Engineer Interview Questions, Process, and Tips

Q1. Ask about the GCP Projects we did before
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Q1. Managerial questions with salary discussion
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Q1. Which of these 2 select * from table and select * from table limit 100 is faster
Ans. 
select * from table limit 100 is faster
• Using 'select * from table' retrieves all rows from the table, which can be slower if the table is large

• Using 'select * from table limit 100' limits the number of rows retrieved, making it faster

• Limiting the number of rows fetched can improve query performance
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Q2. Explain scd and Merge in bigquery
Ans. 
SCD stands for Slowly Changing Dimension and Merge is a SQL operation used to update or insert data in BigQuery.
• SCD is used to track changes to data over time in a data warehouse

• Merge in BigQuery is used to perform insert, update, or delete operations in a single statement

• Example: MERGE INTO target_table USING source_table ON condition WHEN MATCHED THEN UPDATE SET col1 = value1 WHEN NOT MATCHED THEN INSERT (col1, col2)
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Q3. Architecture of bigquery
Ans. 
BigQuery is a fully managed, serverless data warehouse that enables scalable analysis over petabytes of data.
• BigQuery uses a columnar storage format for efficient querying.

• It supports standard SQL for querying data.

• BigQuery allows for real-time data streaming for analysis.

• It integrates with various data sources like Google Cloud Storage, Google Sheets, etc.

• BigQuery provides automatic scaling and high availability.
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Q4. Dataflow function to split sentence
Ans. 
Dataflow function to split sentence
• Use the Split transform in Dataflow to split the sentence into words

• Apply ParDo function to process each word individually

• Use regular expressions to handle punctuation and special characters
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Q1. Bigquery architecture, Advanced SQL question scenario based, cloud storage questions,pubsub,dataflow
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Q1. Used cases on bigquery and sql
Ans. 
BigQuery is used for analyzing large datasets and running complex queries, while SQL is used for querying databases.
• BigQuery is used for analyzing large datasets quickly and efficiently

• SQL is used for querying databases to retrieve specific data

• BigQuery can handle petabytes of data, making it ideal for big data analysis

• SQL can be used to perform operations like filtering, sorting, and aggregating data
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Q1. Salary discussion and location discussion
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