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PERSOLKELLY Interview Questions and Answers

Updated 2 Sep 2024

Q1. What is Object oriented programming?

Ans.

Object oriented programming is a programming paradigm that uses objects to represent and manipulate data.

  • Objects encapsulate data and behavior

  • Classes define the blueprint for objects

  • Inheritance allows for code reuse and polymorphism

  • Examples include Java, C++, and Python

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Q2. Write a program to find the numbers divisble by 3 in a string - and reverse its indexes eg : - input : String s = "123456789" output String s = "129456783"

Ans.

Program to find numbers divisible by 3 in a string and reverse their indexes.

  • Iterate through the string and check if each character is a number divisible by 3.

  • Store the divisible numbers in an array and reverse their indexes.

  • Join the array back into a string and return the result.

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Q3. Explain Sonarqube, different type of code smells, and how its implemented in CI CD

Ans.

Sonarqube is a static code analysis tool used to detect code smells and bugs in code. It is integrated into CI/CD pipelines for continuous code quality checks.

  • Sonarqube is a static code analysis tool that identifies code smells, bugs, and security vulnerabilities in code.

  • Code smells are common programming issues that may indicate a deeper problem in the code. Examples include duplicated code, long methods, and complex conditionals.

  • Sonarqube can be integrated into CI/CD pipeli...read more

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Q4. How to tune the hyperparameter of svm?

Ans.

Hyperparameters of SVM can be tuned using techniques like grid search, random search, and Bayesian optimization.

  • Grid search involves defining a grid of hyperparameter values and evaluating the model performance for each combination.

  • Random search randomly selects hyperparameter values from a defined range and evaluates the model performance.

  • Bayesian optimization uses a probabilistic model to select the next set of hyperparameters based on previous evaluations.

  • Cross-validation ...read more

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Q5. What is data annotation

Ans.

Data annotation is the process of labeling or tagging data to make it understandable and usable for machine learning algorithms.

  • Data annotation involves adding metadata or annotations to data.

  • It helps in training machine learning models by providing labeled examples.

  • Common types of data annotation include image labeling, text tagging, and audio transcription.

  • Data annotation can be done manually by human annotators or through automated tools.

  • Examples of data annotation tasks i...read more

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Q6. What you know about ai

Ans.

AI stands for Artificial Intelligence, which is the simulation of human intelligence in machines.

  • AI involves the development of computer systems that can perform tasks that would typically require human intelligence.

  • It encompasses various subfields such as machine learning, natural language processing, and computer vision.

  • AI is used in various applications like virtual assistants, autonomous vehicles, and recommendation systems.

  • Examples of AI technologies include IBM's Watson...read more

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Q7. What is decision tree

Ans.

A decision tree is a flowchart-like structure used to make decisions or predictions based on multiple conditions or features.

  • A decision tree is a hierarchical structure with nodes representing conditions or features, branches representing possible outcomes, and leaves representing final decisions or predictions.

  • It is a popular machine learning algorithm used for classification and regression tasks.

  • Each internal node in the tree represents a test on a specific feature, and eac...read more

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