Infosys Interview Questions, Process, and Tips

XGBoost is a powerful machine learning algorithm known for its speed and performance in handling large datasets.

• XGBoost stands for eXtreme Gradient Boosting, which is an implementation of gradient boosting machines.

• It is widely used in machine learning competitions and is known for its speed and performance.

• XGBoost uses a technique called boosting, where multiple weak learners are combined to create a strong learner.

• It...read more

XgBoost algorithm uses a greedy approach to determine splits based on feature importance.

• XgBoost algorithm calculates the information gain for each feature to determine the best split.

• The feature with the highest information gain is chosen for the split.

• This process is repeated recursively for each node in the tree.

• Features can be split based on numerical values or categories.

• Example: If a feature like 'age' has the hi...read more

Yes, I have experience working on cloud platforms such as AWS and Google Cloud.

• Experience with AWS services like S3, EC2, and Redshift

• Familiarity with Google Cloud services like BigQuery and Compute Engine

• Utilized cloud platforms for data storage, processing, and analysis

Entropy is a measure of randomness or uncertainty in a dataset, while information gain is the reduction in entropy after splitting a dataset based on a feature.

• Entropy is used in decision tree algorithms to determine the best feature to split on.

• Information gain measures the effectiveness of a feature in classifying the data.

• Higher information gain indicates that a feature is more useful for splitting the data.

• Entropy ...read more

Hypothesis testing is a statistical method used to make inferences about a population based on sample data.

• Hypothesis testing involves formulating a null hypothesis and an alternative hypothesis.

• The null hypothesis is assumed to be true until there is enough evidence to reject it.

• Statistical tests are used to determine the likelihood of observing the data if the null hypothesis is true.

• The p-value is used to determine ...read more

Precision and recall are metrics used in evaluating the performance of classification models.

• Precision measures the accuracy of positive predictions, while recall measures the ability of the model to find all positive instances.

• Precision = TP / (TP + FP)

• Recall = TP / (TP + FN)

• Precision is important when false positives are costly, while recall is important when false negatives are costly.

• For example, in a spam email de...read more

Data imbalance refers to unequal distribution of classes in a dataset, where one class has significantly more samples than others.

• Data imbalance can lead to biased models that favor the majority class.

• It can result in poor performance for minority classes, as the model may struggle to accurately predict them.

• Techniques like oversampling, undersampling, and using different evaluation metrics can help address data imbala...read more

SMOTE stands for Synthetic Minority Over-sampling Technique, used to balance imbalanced datasets by generating synthetic samples.

• SMOTE is commonly used in machine learning to address class imbalance by creating synthetic samples of the minority class.

• It works by generating new instances of the minority class by interpolating between existing instances.

• SMOTE is particularly useful in scenarios where the minority class i...read more

Angular performance improvements involve optimizing code, reducing load times, and minimizing rendering cycles.

• Use lazy loading to only load components when needed

• Optimize change detection by using OnPush strategy

• Minimize DOM manipulation by using ngZone

• Implement server-side rendering for faster initial page load

• Use AOT (Ahead-of-Time) compilation to reduce bundle size

Java 8 introduced several new features including lambda expressions, streams, functional interfaces, and default methods.

• Lambda expressions allow you to write more concise code by providing a way to pass functions as arguments.

• Streams provide a new way to work with collections in a functional style, allowing for easier parallel processing.

• Functional interfaces are interfaces with a single abstract method, which can be ...read more

Implemented SAP MSG for multiple clients in various industries

• Implemented SAP MSG for a manufacturing client to streamline production processes

• Configured SAP MSG for a retail client to optimize inventory management

• Customized SAP MSG for a healthcare client to improve patient care coordination

OWASP Top 10 is a list of the top 10 most critical web application security risks.

• OWASP Top 10 is updated regularly to reflect current security threats.

• It is used by organizations to prioritize their security efforts.

• Examples of OWASP Top 10 include injection, broken authentication, and sensitive data exposure.

Port numbers are used to identify specific services or processes running on a computer network.

• Port 80 is commonly used for HTTP traffic

• Port 443 is commonly used for HTTPS traffic

• Port 22 is commonly used for SSH connections

• Port 25 is commonly used for SMTP email traffic

• Port 21 is commonly used for FTP connections