Sopra Steria Senior Software Engineer Interview Questions, Process, and Tips

Q1. Mainframe Assembler Instructions
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Q2. Mainframe DB2 Questions
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Q1. Project overview, domain
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Q1. What is docker Docker commands
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Docker is a platform for developing, shipping, and running applications using containerization technology.
• Docker allows developers to package their applications and dependencies into a container that can run on any machine.

• Docker containers are lightweight, portable, and can be easily deployed and scaled.

• Docker commands include 'docker run' to start a container, 'docker build' to create an image, and 'docker push' to u...read more
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Q1. What is Ansible Ansible commands
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Ansible is an open-source automation tool that simplifies IT orchestration and configuration management.
• Ansible is agentless and uses SSH or WinRM to communicate with remote machines

• It uses YAML syntax for writing playbooks that define the desired state of the system

• Ansible modules are used to perform specific tasks on remote machines

• Some commonly used Ansible commands are ansible-playbook, ansible-galaxy, ansible-vaul
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Q1. About career and personal
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Q1. Basic concept of java
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Q2. Spring basic questions
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Q1. Explain center limit theorm
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The center limit theorem states that the sum or average of a large number of independent and identically distributed random variables will tend towards a normal distribution.
• The theorem applies to a wide range of distributions, not just normal distributions.

• It is often used in statistical analysis to estimate population parameters.

• The theorem assumes that the random variables are independent and identically distributed...read more
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Q2. Difference between covariance and correlation
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Covariance measures how two variables vary together, while correlation measures the strength of their linear relationship.
• Covariance can be positive, negative, or zero, indicating the direction of the relationship between the variables.

• Correlation ranges from -1 to 1, with 0 indicating no linear relationship and -1 or 1 indicating a perfect negative or positive linear relationship, respectively.

• Covariance is affected b...read more
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Q3. Basics of performance matrix
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Q1. How embeddings works
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Embeddings are a way to represent words or phrases as vectors in a high-dimensional space.
• Embeddings are learned through neural networks that analyze large amounts of text data.

• They capture semantic and syntactic relationships between words.

• They are used in natural language processing tasks such as language translation and sentiment analysis.

• Popular embedding models include Word2Vec and GloVe.
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Q2. How word2vec is generated
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word2vec is a neural network model used to generate word embeddings.
• word2vec uses a shallow neural network with one input layer, one hidden layer, and one output layer.

• It learns to predict the context of a word by training on a large corpus of text.

• The output of the hidden layer is used as the word embedding.

• There are two approaches to word2vec: continuous bag of words (CBOW) and skip-gram.

• CBOW predicts a word given it...read more
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Q3. If client ask you improve the performance of the model without changing architect and data what will be your first step
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Q4. What is an API? how to deploy it
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API stands for Application Programming Interface. It is a set of protocols and tools for building software applications.
• API is a way for different software components to communicate with each other

• It defines how software components should interact with each other

• API can be deployed on a server or cloud platform

• API can be accessed through HTTP requests

• API documentation is important for developers to understand how to us
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Q1. Some basic HR questions and negotiations
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