Saint-Gobain Software Engineer Trainee Interview Questions and Answers

Q1. Telle about yourself
Ans. 
I am a passionate software developer with experience in Java, Python, and web development.
• Experienced in Java, Python, and web development technologies

• Strong problem-solving skills

• Familiar with Agile methodologies

• Worked on projects involving database management systems

• Continuous learner and always looking to improve
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Q2. Deep knowledge in node js
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Q1. Mcdc , vnv techniques, v model
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Q2. Oops concepts,ecp and bva
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Q3. C language, structures, unions , storage classes
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Q1. Package negotiation
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Q1. What is arbitration in can
Ans. 
Arbitration in CAN is a process of resolving conflicts when multiple nodes try to transmit data simultaneously.
• Arbitration is used in Controller Area Network (CAN) to ensure that only one node transmits data at a time.

• Each node on the CAN bus has a unique identifier, and the node with the highest priority identifier gets to transmit its data first.

• If two or more nodes try to transmit data at the same time, the arbitrat...read more
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1hour,Time and Speed,Time and work

1 hour,Data Structure

Q1. 1 hour, Final Year Project
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Q1. Java opps concept
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Q2. App cycle status
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Basic level of Q asked based on math ,english and programming

Easy to medium level 7 Q asked and minimum 4 is compulsory for crack next round

Q1. It was like personal interview asked about familiy background and all
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Q1. What is sparksession
Ans. 
SparkSession is the entry point for programming Spark with the Dataset and DataFrame API.
• It replaces the older SQLContext and HiveContext in Spark 2.0 and later.

• Allows users to create DataFrames and execute SQL queries.

• Example: `val spark = SparkSession.builder.appName("MyApp").getOrCreate()`.

• Supports reading data from various sources like JSON, Parquet, and JDBC.

• Example: `val df = spark.read.json("path/to/file.json")`
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Q2. What spark architechture
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Apache Spark is a unified analytics engine for big data processing, with built-in modules for streaming, SQL, machine learning, and graph processing.
• Spark operates on a cluster computing model, allowing distributed data processing.

• It uses Resilient Distributed Datasets (RDDs) for fault tolerance and parallel processing.

• Spark provides high-level APIs in Java, Scala, Python, and R, making it accessible to various develop...read more
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Q1. Autosar questions
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