Argano Software Software Engineer II Interview Questions and Answers

Q1. How does Angular work ?
Ans. 
Angular is a front-end web application framework that allows developers to build dynamic single-page applications.
• Angular uses TypeScript for building applications.

• It follows the MVC (Model-View-Controller) architecture.

• Angular provides two-way data binding, which means changes in the model are automatically reflected in the view and vice versa.

• It uses directives to extend HTML with new attributes and tags.

• Angular has ...read more
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Q2. Array based javascript question
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Q3. What is hoisting ?
Ans. 
Hoisting is a JavaScript mechanism where variable and function declarations are moved to the top of their containing scope during compilation.
• In JavaScript, variable and function declarations are hoisted to the top of their scope.

• This means that you can use a variable or function before it is declared.

• However, only the declarations are hoisted, not the initializations.
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Q4. What is temporal dead zone ?
Ans. 
Temporal dead zone is the period between entering scope and being able to access a variable.
• Occurs when trying to access a variable before it has been declared

• Caused by hoisting in JavaScript

• Results in a ReferenceError

• Example: const x = 10; console.log(x); // ReferenceError: Cannot access 'x' before initialization
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Q1. Project related question
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Q1. Scenario based question
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Q1. Salary discussion
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Q1. About work experience
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Q2. About education
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Q1. Machine Learning-related stuff: Confusion Matrix, R2 score, etc.. Also, Python & Statistics.
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Q2. Explain any one project.
Ans. 
Developed a predictive model to forecast customer churn for a telecom company.
• Collected and cleaned customer data including usage patterns and demographics.

• Used machine learning algorithms such as logistic regression and random forest to build the model.

• Evaluated the model's performance using metrics like accuracy, precision, and recall.

• Provided actionable insights to the company based on the model's predictions.
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Q3. Difference between Data Analyst and Data Scientist.
Ans. 
Data Analyst focuses on analyzing data to provide insights, while Data Scientist focuses on using advanced algorithms and machine learning to predict future trends.
• Data Analyst focuses on analyzing data to provide insights for decision-making.

• Data Scientist focuses on using advanced algorithms and machine learning to predict future trends.

• Data Analyst typically works with structured data, while Data Scientist works wit...read more
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Q1. Based on previous projects
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