Amadeus Interview Questions, Process, and Tips

Q1. Explain the challenges faced in Test Automation
Ans. 
Challenges in Test Automation include dynamic UI elements, maintenance of scripts, data management, and flakiness.
• Dynamic UI elements can cause scripts to fail if not handled properly

• Maintenance of scripts can be time-consuming as applications evolve

• Data management is crucial for test data setup and cleanup

• Flakiness of tests can lead to false positives or negatives
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Q2. What are the top 3 defects that you have raised in your previous project or role.
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Q1. SQL and business Analyst questions
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Q1. Situation based questions SQL
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Total 31 questions where 29 are MCQ related to Java, c++, python (to find output or time complexity) and 2 are coding questions with medium difficulty

Q1. I have very bad experience with this company. HR scheduled technical round on Monday 11 AM. panel was not aware and joined 30 mins late. Then he started asking questions unrelated to my profile. I said i h...read more
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Q2. Question related to - 1. @DataProviders of TestNG 2. Alternative of excel sheet to get our test data in automation framework 3. how to set up jenkins pipeline, how to create job 4. how to give global par...read more
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Q1. How did you ingest kafka data and you day to day activity
Ans. 
I ingested Kafka data using Kafka Connect and performed data processing and analysis on a daily basis.
• Used Kafka Connect to ingest data from various sources into Kafka topics

• Developed custom Kafka Connect connectors for specific data sources

• Utilized Kafka Streams for real-time data processing and analysis

• Worked with schema registry for data serialization and deserialization
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Q2. What is catalyst optimizer
Ans. 
Catalyst optimizer is a query optimization framework in Apache Spark that improves performance by generating optimized query plans.
• Catalyst optimizer is a rule-based optimization framework in Apache Spark.

• It leverages advanced techniques like predicate pushdown, constant folding, and join reordering to optimize query plans.

• Catalyst optimizer helps in improving the performance of Spark SQL queries by selecting the most ...read more
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Q1. Questions were mostly around system design, you will be given a case like a stock system and specific use case is asked to design end to end from UI to backend.
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Q2. Some of the system debugging/performance improvement questions are asked from both UI and backend.
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