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DS321-BIG DATA (1)

DS321-BIG DATA (1)

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What is the purpose of the `orderBy` method in Spark DataFrames?

To aggregate data

To sort rows based on one or more columns

To join multiple DataFrames

To rename columns

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Why is it important to use lazy evaluation in Spark transformations?

Lazy evaluation ensures that all transformations are executed in parallel.

Lazy evaluation immediately executes transformations to save memory.

Lazy evaluation delays computation until an action is called, optimizing resource usage.

Lazy evaluation prevents Spark from performing any unnecessary computations.

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Which of the following is NOT a supported output format when writing data from Spark?

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When using reduceByKey in Spark, what is the role of the lambda function provided as an argument?

It specifies how to combine values associated with the same key.

It defines the schema of the resulting DataFrame.

It filters out keys that do not meet a specific condition.

It determines how to split the dataset into partitions.

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When reading a text file into Spark using spark.read.text(), what is the default structure of the resulting DataFrame?

A nested DataFrame with rows grouped by paragraphs.

A single-column DataFrame with each line of the file as a row.

A DataFrame with metadata about the file, such as file size and creation date.

A multi-column DataFrame where each word in the file becomes a column.

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If text_rdd contains ["hello world", "big data"], what is the output of text_rdd.flatMap(lambda x: x.split()).collect()?

["hello", "world", "big", "data"]

[["hello", "world"], ["big", "data"]]

["hello world", "big data"]

["hello", "big"]

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10. What is the purpose of 'plt.ylabel('Final Grade')' in the code?

To calculate the mean Final Grade of the y-axis

To label the y-axis of the plot as "Final Grade"

To filter rows based on Final Grade of the y-axis

To convert the Final Grade column of the y-axis to a numeric type

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8. What is the purpose of 'df['Attendance'].astype(int)'?

To show the type of "Attendance" column

To plot a scatter graph of Attendance that has integer type

To convert the "Attendance" column to an integer type

To filter rows based on Attendance that has integer type

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14. How can you use a lambda function to calculate the square of the "Final Grade" column?

'df['Final Grade'].transform(lambda x: x ** 3)'

'df['Final Grade'].apply(lambda x: x + 2)'

'df['Final Grade'].apply(lambda x: x ** 2)'

'df['Final Grade'].map(lambda x: x * 2)'

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20. What is the purpose of pd.read_csv(file_path) in the code?

To read data from a CSV file into a DataFrame

To write data to a CSV file

To calculate the mean of a column

To filter rows based on conditions

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