Select the statement that transforms a feature vector 'a' of a Spark data frame df by using the standardization approach (z-score) b. O A. fs = StandardScaler(inputCol="a", outputColb". WithStd=True, withMean=True) sm = fs.transform(dt) df=sm.fit(dt) O B. fs = Scaler(inputCol="a", outputCol="b", with Sid=True, withMean=True) sm=fs.fit(dt) df = sm.transform(df) O c. fs = Standard Scaler(inputCol="a", outputCol="b", with Std=True, withMean=True) sm = fs.fit(dt) df = fs.transform(df) O D. fs = Standard Scaler(inputCola", outputCol="b", with Sid=True, withMean=True) sm = fs.fit[df) df = sm.transform(dt) O E. fs = StandardScaler(inputCol="b", outputCol="a", withSid=True, withMean=True) sm=fs.fit(dt) df = sm.transform(df)