Capgemini Developer Interview Questions and Answers

Q1. Circuit breaker design pattern
Ans. 
Circuit breaker design pattern is used to prevent a system from repeatedly trying to execute an operation that is likely to fail.
• Circuit breaker monitors the number of failures and trips when a threshold is reached.

• It can be reset after a certain period of time to check if the operation is successful again.

• Helps in improving system stability and resilience by handling failures gracefully.
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Q2. SQL coding, write a query to get second max salary
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Q1. EXPLAINTRANSFORMER STAGE
Ans. 
Transformer stage is a processing stage in IBM InfoSphere DataStage used for data transformation.
• Used for transforming data from source to target in DataStage

• Can perform various operations like filtering, aggregating, joining, etc.

• Supports parallel processing for efficient data transformation
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Q2. CDC STAGE EXPALIN HOW TO DO IT
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Q1. CTCHOW MUCH YOU EXPECT??
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Coding test followed by technical discussion

Q1. Governer limits and usage
Ans. 
Governer limits are restrictions set by Salesforce to prevent code from consuming too much resources.
• Governer limits are restrictions set by Salesforce to ensure efficient use of resources.

• They include limits on CPU time, heap size, SOQL queries, DML statements, etc.

• Exceeding these limits can result in exceptions like 'Apex CPU time limit exceeded'.
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Q2. Integration related questions
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Q1. Reverse a string
Ans. 
Reverse a given string by iterating through it backwards and appending each character to a new string.
• Create a new empty string to store the reversed string

• Iterate through the original string from the last character to the first character

• Append each character to the new string

• Return the new string as the reversed string
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Q2. Pallindrome number
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Q1. What is Azure Databricks
Ans. 
Azure Databricks is a unified analytics platform that combines big data processing and machine learning.
• Collaborative environment for data scientists, data engineers, and business analysts

• Integrated with Azure services for data storage, processing, and analytics

• Supports popular programming languages like Python, Scala, and SQL

• Provides tools for data visualization and machine learning model development
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Q2. What is cache in Databricks
Ans. 
Cache in Databricks is a mechanism to store intermediate results of computations for faster access.
• Cache in Databricks is used to store intermediate results of computations in memory for faster access.

• It helps in reducing the time taken to recompute the same data by storing it in memory.

• Data can be cached at different levels such as DataFrame, RDD, or table.

• Example: df.cache() will cache the DataFrame 'df' in memory fo
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