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Infosys Interview Questions and Answers
Q1. What's input data
Input data is the information that is entered into a system for processing.
Input data can be in the form of text, numbers, images, or any other type of information.
Examples of input data include customer names, addresses, product prices, and sales figures.
Input data is essential for performing data entry tasks accurately and efficiently.
Q2. Short key of Open Ms Word
Ctrl + O
Press Ctrl key and O key together
Shortcut to open a new document in Microsoft Word
Q3. What's output data
Output data is the information generated by a system or process as a result of input data being processed.
Output data is the final result of processing input data.
It can be in the form of reports, charts, graphs, or any other format depending on the system.
Examples include financial statements generated from accounting data, sales reports from CRM systems, or statistical analysis from research data.
Q4. Which model is used in Credit card detection?
Credit card detection uses machine learning models.
Machine learning models like logistic regression, decision trees, and neural networks are used for credit card detection.
These models analyze patterns in credit card transactions to detect fraudulent activity.
The models are trained on large datasets of both legitimate and fraudulent transactions.
The models can be updated and improved over time as new data becomes available.
Q5. Full Name of RAM
Random Access Memory
RAM stands for Random Access Memory
It is a type of computer memory that can be accessed randomly
Examples include DDR4, DDR3, and LPDDR4
Q6. What is confusion matrix?
A confusion matrix is a table used to evaluate the performance of a classification model.
It shows the number of true positives, true negatives, false positives, and false negatives.
It helps in calculating various evaluation metrics like accuracy, precision, recall, and F1 score.
It is useful in identifying the strengths and weaknesses of a model and improving its performance.
Example: A confusion matrix for a binary classification problem can look like this: Actual Positive Act...read more
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