Data Ingenious Global ETL Developer Interview Questions and Answers

It's an assignment for apti, verbal

Q1. It's like an what are u mentioned in resume skills.
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Q1. Just like interaction with candidate like personal details.
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Q1. Lookup transformation
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Q2. Joiner transformation
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2 coding questions, 1 hr and Aptitude questions are also clubbed into other section.

Q1. Are flexible with location
Ans. Yes, I am flexible with location
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Q2. Are you ok if we give you testing project
Ans. 
Yes, I am open to taking on a testing project as part of my role as an ETL Developer.
• I have experience with testing tools and methodologies in my previous roles.

• I understand the importance of testing in ensuring data accuracy and quality.

• Taking on a testing project will help me improve my skills and knowledge in ETL development.
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Q3. Are you flexible with working hours
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Q1. Which version of talend you are using
Ans. 
I am using Talend version 7.3.1 for ETL development.
• I am currently using Talend version 7.3.1 for ETL development.

• The specific version of Talend being used is 7.3.1.

• Talend 7.3.1 offers various features and improvements for ETL processes.
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Q1. Self introduction
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Q2. Scenario based questions
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Q1. Performance tuning of ssis packages
Ans. 
Performance tuning of SSIS packages involves optimizing data flow, memory usage, and parallelism.
• Optimize data flow by using efficient data sources and destinations

• Minimize memory usage by using appropriate buffer sizes and reducing unnecessary data transformations

• Increase parallelism by using multiple threads and optimizing task execution order

• Use performance monitoring tools like SSIS logging and performance counters...read more
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Q1. Basics,ETL Process and performance tuning
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Q1. Past experience
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Q1. Informatica power centre transformation questions
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Q1. What is loads in informatica
Ans. 
Loads in Informatica refer to the process of moving data from source to target in a data warehouse.
• Loads involve extracting data from source systems

• Transforming the data as needed

• Loading the data into the target data warehouse or database

• Loads can be full, incremental, or delta depending on the requirements

• Example: Loading customer data from a CRM system into a data warehouse for analysis
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Q2. Query to find duplicates in table
Ans. 
Use GROUP BY and HAVING clause to find duplicates in a table.
• Use GROUP BY to group rows with same values together

• Use HAVING COUNT(*) > 1 to filter out duplicates

• Example: SELECT column_name, COUNT(*) FROM table_name GROUP BY column_name HAVING COUNT(*) > 1;
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