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Which two data frame constructs are presented when uploading a CSV file in Watson Studio?

  1. Python and R

  2. Brunel and Bokeh

  3. Pandas and SparkSession

  4. NumPy and SciKit

The correct answer is: Pandas and SparkSession

When uploading a CSV file in Watson Studio, the data frame constructs presented are Pandas and SparkSession. Pandas is a widely used data manipulation library in Python that provides data structures like DataFrames for handling structured data efficiently. It excels at data analysis tasks, such as importing, cleaning, and transforming CSV data into a format that can be easily worked with. SparkSession, on the other hand, is a part of Apache Spark, which is designed for large-scale data processing. It allows users to work with large datasets distributed across a cluster, leveraging the power of parallel processing. Spark provides its own DataFrame API that is similar to Pandas but optimized for big data applications. These two constructs allow users to choose between a lightweight, in-memory representation of data with Pandas or a scalable, distributed approach with SparkSession, depending on the needs of their data processing tasks. This versatility is a key feature of Watson Studio, accommodating both small-scale and large-scale data analysis requirements. Other choices present libraries or tools that do not align directly with data frame constructs used for handling CSV files in Watson Studio.