Question
In each of the following questions, two columns are
given containing three sentences/ phrases each. A sentence or phrase from the first column may or may not connect with another sentence/ phrase from the second column to make a grammatically and contextually correct sentence. Each question has five options, four of which display the sequence (s) in which the sentences/ phrases can be joined to form a grammatically and contextually correct sentence. If none of the options given forms a correct sentence after combination, mark (5), i.e., ‘None of these’ as your answer.Solution
A-E: "The States and the Centre must set aside their political differences and stay the course collectively." (This makes sense as it suggests collaboration.) B-D: "The causes of the pollution crisis are multi-layered and will yield results only gradually." (This is also a grammatically correct sentence describing the complexity of the pollution crisis.) Other combinations do not create correct sentences, so the correct answer is option 2.
Which of the following best describes a method to handle inconsistent data when integrating datasets from different sources?
A dataset contains "USA," "United States," and "U.S." as country entries. What is the best way to resolve these inconsistencies?
A study estimates the average weight of a population with a 95% confidence interval of (65 kg, 75 kg). What does this mean?
Which sampling technique is best suited for dividing a population into distinct subgroups and ensuring each subgroup is proportionally represented?
Which type of data visualization is most useful for identifying the relationship between two continuous variables?
Which of the following is a characteristic of a relational database management system (RDBMS) that distinguishes it from other database systems?
In data transformation, what is the primary purpose of standardization?
A company notices an increase in sales every December due to holiday shopping. Which component of time series data does this represent?
What is the primary advantage of using the ARIMA (AutoRegressive Integrated Moving Average) model for forecasting time series data?
In the context of metadata for data management, which of the following examples best illustrates descriptive metadata?