[Python] Wrong output in the CSV file using xPath expression

I wrote a code to get the following value "Exam Code", "Exam Name" and "Total Question". The issue is that in the put CSV file I am getting the wrong value in the "Exam Code" column. I am getting the same value as "Exam Name". The xPath looks fine to me. I don't know where is the issue happening. Following is the code:

import pandas as pd
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.common.exceptions import NoSuchElementException
import time

option = Options()
option.add_argument("--disable-infobars")
option.add_argument("start-maximized")
option.add_argument("--disable-extensions")
option.add_experimental_option("excludeSwitches", ['enable-automation'])

# Pass the argument 1 to allow and 2 to block
# option.add_experimental_option("prefs", {
# "profile.default_content_setting_values.notifications": 1
# })
driver = webdriver.Chrome(chrome_options=option, executable_path='C:\\Users\\Awais\\Desktop\\web crawling\\chromedriver.exe')

url = ["https://www.marks4sure.com/210-060-exam.html",
"https://www.marks4sure.com/210-065-exam.html",
"https://www.marks4sure.com/200-355-exam.html",
"https://www.marks4sure.com/9A0-127-exam.html",
"https://www.marks4sure.com/300-470-exam.html",]

driver.implicitly_wait(0.5)

na = "N/A"

# text = 'Note: This exam is available on Demand only. You can Pre-Order this Exam and we will arrange this for you.'
links = []
exam_code = []
exam_name = []
total_q = []

for items in range(0, 5):
driver.get(url[items])
# if driver.find_element_by_xpath("//div[contains(@class, 'alert') and contains(@class, 'alert-danger')]") == text:
# continue
items += 1

try:
c_url = driver.current_url
links.append(c_url)
except:
pass

try:
codes = driver.find_element_by_xpath('''//div[contains(@class, 'col-sm-6') and contains(@class, 'exam-row-data') and position() = 2]''')
exam_code.append(codes.text)
except:
exam_code.append(na)

try:
names = driver.find_element_by_xpath('//*[@id="content"]/div/div[1]/div[2]/div[3]/div[2]/a')
exam_name.append(names.text)
except:
exam_name.append(na)

try:
question = driver.find_element_by_xpath('//*[@id="content"]/div/div[1]/div[2]/div[4]/div[2]/strong')
total_q.append(question.text)
except:
total_q.append(na)
continue


all_info = list(zip(links, exam_name, exam_name, total_q))
print(all_info)

df = pd.DataFrame(all_info, columns=["Links", "Exam Code", "Exam Name", "Total Question"])
df.to_csv("data5.csv", index=False)
driver.close()

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