TCS Senior Abinitio Developer Interview Questions and Answers

Q1. Tell about previous projects.
Ans. 
I have worked on various projects involving data integration, ETL processes, and data warehousing using Abinitio.
• Developed ETL processes to extract, transform, and load data from multiple sources into a data warehouse.

• Implemented complex data transformations and business logic using Abinitio graphs and components.

• Worked on performance tuning and optimization of Abinitio graphs to improve processing times.

• Collaborated w...read more
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Q2. Have you worked on procedures?
Ans. 
Yes, I have worked on procedures in Abinitio development.
• I have experience creating and implementing procedures in Abinitio to automate data processing tasks.

• I have written complex procedures using Abinitio's graphical interface or scripting language.

• I have optimized procedures for performance and efficiency.

• I have debugged and troubleshooted procedures to ensure they function correctly.

• I have documented procedures for
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Q1. Ab initio scenario, SQL ,Unix
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Q1. About active Directory
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Q2. Networking protocols
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Q1. About myself , previous experience
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Q2. Salary expectation why we have to hire you
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Q1. What is difference between output index and output indexes in component, Reformat?
Ans. 
Output index is a single index while output indexes is an array of indexes in Reformat component.
• Output index refers to a single output field in Reformat component.

• Output indexes refer to multiple output fields in Reformat component.

• Output index is specified using a single integer value.

• Output indexes are specified using an array of integer values.
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Q2. How to convert a column into a row?
Ans. 
Use UNPIVOT operator in SQL to convert a column into a row.
• Use UNPIVOT operator in SQL to convert a column into a row

• Syntax: SELECT * FROM (SELECT [column_name] FROM [table_name]) AS [alias_name] UNPIVOT ([new_column_name] FOR [old_column_name] IN ([column_name])) AS [alias_name]

• Example: SELECT * FROM (SELECT col1, col2, col3 FROM table1) AS t UNPIVOT (val FOR col IN (col1, col2, col3)) AS u

• Transpose function in Excel
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Q3. Difference between partitioning and bucketing in SQL?
Ans. 
Partitioning divides a table into smaller parts while bucketing groups data based on a hash function.
• Partitioning is used to improve query performance by reducing the amount of data that needs to be scanned.

• Bucketing is used to evenly distribute data across nodes in a cluster.

• Partitioning is done based on a column or set of columns, while bucketing is done based on a hash function.

• Partitioning is commonly used in datab...read more
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Q1. What are your salary expectations?
Ans. 
I would like to discuss my salary expectations in person during the negotiation phase.
• Express willingness to discuss salary expectations during negotiation phase

• Avoid giving a specific number without understanding the full scope of the role and responsibilities

• Highlight the importance of considering factors such as experience, skills, and market value
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Q2. Share details of your previous job.
Ans. 
I worked as an Abinitio Developer in my previous job.
• Developed and maintained Abinitio graphs for data integration and transformation.

• Collaborated with cross-functional teams to gather requirements and design solutions.

• Optimized performance of Abinitio graphs by tuning parameters and implementing best practices.

• Troubleshot and resolved issues related to data processing and ETL workflows.

• Participated in code reviews and...read more
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Q3. Tell me about yourself.
Ans. 
I am an experienced Abinitio Developer with a strong background in data integration and ETL processes.
• I have been working in the field of Abinitio development for the past 5 years.

• I have expertise in designing and implementing complex data integration solutions using Abinitio.

• I am proficient in various Abinitio components such as GDE, Co>Operating System, and EME.

• I have experience in working with different databases an...read more
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Q1. String functions
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Q1. What will be the output if input is MFS file , componenet is rollup with {} key
Ans. 
The output of a rollup component with {} key on an MFS file will be the aggregated values based on the specified key.
• The rollup component in Abinitio is used to perform aggregation operations on data.

• The {} key in the rollup component indicates that all records should be considered for aggregation.

• The output will contain the aggregated values based on the specified key.

• For example, if the MFS file contains student reco...read more
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Q2. What will be the output if input is mfs file and component is dedup with {} key
Ans. 
The output will be a deduplicated mfs file based on the specified key.
• The dedup component in Abinitio is used to remove duplicate records from a dataset.

• The {} key in dedup signifies that all fields in the record are considered for deduplication.

• The output will contain only unique records based on the combination of all fields in the input mfs file.
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