Systems Plus IT Engineer Interview Questions and Answers

The aptitutde test was entirely based on your logical reasoning and aptitude handling skills.

Q1. The Hr asked some 6-7 logical and aptitude-based questions. Firstly she started with tell me something about yourself. It was 1.5 hr long interview.
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2 papers- Online tricky questions-medium to high-level difficulty. Computer based

Q1. Basic Biology conceptual questions- What is DNA?
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Q2. How does pasteurization work?
Ans. 
Pasteurization is a process of heating food or liquid to a specific temperature to kill harmful bacteria and increase shelf life.
• The process involves heating the substance to a temperature between 60-100°C for a specific time period.

• This kills most of the harmful bacteria and pathogens present in the substance.

• The process was developed by Louis Pasteur in the 19th century to prevent spoilage of wine and beer.

• Pasteuriza...read more
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Q3. Difference between mean, median, and mode?
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1st round included basic apt questions and essay writing

Q1. General resume questions
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Q2. Aptitude questions
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Q1. Games to check for porboen solving skills
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Q1. Drug discovery questions from coursera
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Q1. Aptitude questions were asked to be solved on call
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Q1. Interview based on your programming language , how good you know like java or python or scala
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Q2. Big data & Data science interview question like working of spark , Hive optimization of queries , what is graphx
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Q3. Explain your recent project in detail
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Q1. More deep dive in your expertise technologies like Spark DAG working explain
Ans. 
Spark DAG (Directed Acyclic Graph) represents the execution plan for Spark jobs, optimizing data processing tasks.
• A DAG is a graph structure that consists of nodes (operations) and edges (data flow) without cycles.

• In Spark, when an action (like count or collect) is called, it triggers the creation of a DAG.

• Each transformation (like map, filter) creates a new RDD, forming a lineage that Spark uses to optimize execution.

• ...read more
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Q2. How you do data validation in hive
Ans. 
Data validation in Hive involves using built-in functions and custom scripts to ensure data accuracy and consistency.
• Use built-in functions like IS NULL, IS NOT NULL, and COALESCE to check for missing or null values

• Use regular expressions and pattern matching to validate data formats

• Write custom scripts to perform more complex data validation tasks

• Perform data profiling to identify potential data quality issues

• Use data...read more
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Q1. Salary , why changing job etc..
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Q2. Your complete background of career
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Q1. Expected Ctc ,current ctc,experience etc,etc
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Q1. System knowledge ,they see if your experience is usable.It’s a long round but if you are skilled and experience d enough ,it will be a breeze
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