A marketing analyst is preparing a report that includes both Python code and written explanations of their findings. They want the report to be interactive and easy to share with team members via Google Drive. Which tool is best suited for this task?OPTIONS:A. Microsoft WordB. Google SheetsC. Jupyter Notebook in Google ColabD. Visual Studio Code ANSWER:C. Jupyter Notebook in Google Colab EXPLANATION:Google Colab is a cloud-based Jupyter Notebook that supports both code and markdown, making it ideal for combining analysis and explanation in a single, shareable document.

An operations analyst wants to calculate daily production totals using this function: python CopyEdit def total_output(daily_counts):     total = 0     for count in daily_counts:         total += count     return total What does the function return when called as total_output([120, 135, 150, 110])? OPTIONS: 515B. 480C. 150D. 135 ANSWER: A EXPLANATION:The function adds all the numbers: 120 + 135 + 150 + 110 = 515. This demonstrates how loops inside functions can aggregate data efficiently.

  Consider this function used by an operations analyst: python CopyEdit def reorder_notice(item, days_left):     if days_left < 3:         return item + " needs to be reordered soon."     else:         return item + " is sufficiently stocked." What is returned by reorder_notice("Printer Ink", 2)? OPTIONS: Printer Ink needs to be reordered soon.B. Printer Ink is sufficiently stocked.C. Reorder needed for Printer Ink.D. 2 needs to be reordered soon. ANSWER: A EXPLANATION:Since days_left is 2 (less than 3), the first return statement is triggered. This demonstrates how functions can use conditional logic to create context-aware responses.

A tech startup estimates that the probability of a server outage during peak hours is 0.08. What is the probability that there is not a server outage during peak hours? ANSWER: 0.92 EXPLANATION:The complement rule states that the probability of an event not occurring is 1 minus the probability of it occurring.1 – 0.08 = 0.92.

A manager uses this function to print employees eligible for promotion based on performance: python CopyEdit def eligible_for_promotion(employees):     for emp in employees:         if emp[“score”] >= 90:             print(emp[“name”], “is eligible for promotion.”) If the list passed in contains 10 employees, how many times can this function potentially print a message? OPTIONS: 0B. Between 0 and 10, depending on scoresC. Always 10D. Only once ANSWER: B EXPLANATION:The loop runs 10 times, but only employees meeting the condition (score >= 90) are printed. The actual number of messages printed depends on the input data.

A data analyst wants to make a function to label product categories. They define the function like this: def label_category(name):     print(“Product Category:”, name) Which of the following is the correct way to use this function in Python? OPTIONS: label_category = (“Office Supplies”) print(label_category(“Office Supplies”)) label_category(“Office Supplies”) def label_category(“Office Supplies”) ANSWER: C EXPLANATION:Option C correctly calls the function using its name and a string argument.Option A reassigns the function name, breaking the function.Option B works but adds an unnecessary print() call, which returns None.Option D incorrectly uses def during a call.

Write down the protocol for the Transabdominal Pelvis Ultrasound.

A clothing subscription box randomly includes one of five free accessories: socks, belt, watch, tie, or hat. What is the probability a customer receives something other than a tie or a hat? OPTIONSA. 3/5B. 2/5C. 1/2D. 1/5 ANSWERA. 3/5 EXPLANATIONThere are 5 total outcomes. Two (tie and hat) are not favorable, so three remain. So, the probability of getting something other than tie or hat is 3/5.

A recruiter is selecting a candidate at random. The probability the selected candidate is from the marketing team is 0.2, and from the finance team is 0.3. No one is in both departments. What is the probability the selected candidate is from either team? ANSWER: 0.5 EXPLANATION:Because the teams are disjoint (no overlap), you add the individual probabilities:0.2 + 0.3 = 0.5.

Cerebellar ataxia is characterized by all of the following EXCEPT: