is it possible to invent a dataset and a positive value of C in which the dataset is linearly seperable but the linear SVM classi er would never the less misclassify at least one training point?

this is false i think

if it is a true or false question

look at the engine block shown in the figure. the engine shown in this figure is a/an  

  a. four-cylinder, horizontally opposed engine.

  b. eight-cylinder, v-type engine.

  c. six-cylinder, v-type engine.

  d. four-cylinder, in-line engine