Question
Consider the following statements about ‘AMRIT’
(Arsenic and Metal Removal by Indian Technology): 1. Recently, IIT - Madras has developed this technology. 2. It is developed for the removal of Arsenic and Metal ions from water. 3. This water purifier has been developed for both domestic as well as community levels. Which of the statements given above is/are correct?Solution
Recently, the Indian Institute of Technology (IIT) - Madras has developed a technology called ‘AMRIT’ (Arsenic and Metal Removal by Indian Technology) technology. It is developed for the removal of Arsenic and Metal ions from water. The technology uses nano-scale iron oxy-hydroxide, which selectively removes arsenic when water is passed through it. This water purifier has been developed for both domestic as well as community levels.
A company has a large dataset with a mix of numeric and categorical data. To ensure fair comparisons between variables, which data transformation techni...
A company wants to analyze customer sentiment about their new product by extracting data from Twitter. Which data collection method is most appropriate ...
When decomposing time series data, which component is primarily targeted to be removed to focus on the longer-term trend?
Which of the following is an example of metadata in data management?
Which visualization library in R is most effective for creating interactive, web-based data visualizations?
A retailer wants to segment its customers to optimize targeted marketing campaigns. Which of the following approaches would be most effective for custom...
In Power BI, which of the following is the best way to create an interactive report with multiple filters and dynamic charts?
Which of the following keys ensures that no duplicate values are allowed and also uniquely identifies a record in a relational database table?
Which Python library is most commonly used to calculate the correlation matrix of a dataset in preparation for predictive modeling?
Which measure of central tendency is most appropriate when data has extreme outliers?
Relevant for Exams:
