Question11 employeeData = { 'E001': ['Alice', 'HR', 70000], 'E002': ['Bob', 'Finance', 82000], 'E003': ['Carol', 'IT', 91000], 'E004': ['David', 'Marketing', 76000], 'E005': ['Eva', 'IT', 88000] } The dictionary employeeData has been created as the above code (please note the employee IDs are the keys in the dictionary. For example, ‘E001’ is an employee ID.). To store all employee IDs in a new list, what is the missing line of code in the second line of the following code? emp_ids = [] # the missing line of code emp_ids.append(emp_id) Select one alternative: for emp_id in employeeData.items(): for emp_id in employeeData.values(): for emp_id in employeeData: for emp_id in employeeData.keys(): ResetMaximum marks: 2 Flag question undefined

Question

Question11 employeeData = { 'E001': ['Alice', 'HR', 70000], 'E002': ['Bob', 'Finance', 82000], 'E003': ['Carol', 'IT', 91000], 'E004': ['David', 'Marketing', 76000], 'E005': ['Eva', 'IT', 88000] }  The dictionary employeeData has been created as the above code (please note the employee IDs are the keys in the dictionary. For example, ‘E001’ is an employee ID.). To store all employee IDs in a new list, what is the missing line of code in the second line of the following code? emp_ids = [] # the missing line of code emp_ids.append(emp_id) Select one alternative: for emp_id in employeeData.items(): for emp_id in employeeData.values(): for emp_id in employeeData: for emp_id in employeeData.keys(): ResetMaximum marks: 2 Flag question undefined

BlackTom AI · Accepted Answer

The question shows a Python dictionary where employeeData uses IDs like 'E001' as keys and lists as values. The task is to store all employee IDs in a new list by iterating over the dictionary in a particular way, and the missing line should be placed after emp_ids = [].

Option A: for emp_id in employeeData.items():
- This iterates over (key, value) tuples, not just the keys. If you then do emp_ids.append(emp_id), you would append tuples like ('E001', ['Alice', 'HR', 70000]), which would store the pairs, not the IDs alone.
- Since the goal is to store only the IDs, this is not the ideal choice because it includes the entire key-value pair as a single item, not just the key.

Option B: for emp_id in employeeData.values():
- This iterates over the values of the dictionary, i.e., the lists like ['Alice', 'HR', 70000]. Iterating over values would give you the employee data, not the IDs, so appending these would fill emp_ids with lists of data rather than IDs.
- This is incorrect for the stated objective of collecting IDs.

Option C: for emp_id in employeeData:
- When you iterate directly over a dictionary, the loop variable takes on the keys, i.e., the IDs 'E001', 'E002', etc. This is precisely what we want if we plan to append these keys to emp_ids.
- Each iteration yields a single key (the ID), which can be appended to the list to collect all IDs.

Option D: for emp_id in employeeData.keys():
- This explicitly iterates over the dictionary’s keys, which are the employee IDs. It is functionally equivalent to iterating over the dictionary itself in terms of yielding keys.
- Appending each emp_id here would also accumulate all IDs in the list as desired.

Comparing the viable options, both Option C and Option D yield the IDs when appended. The subtle distinction is that iterating over the dictionary directly (Option C) and iterating over its keys (Option D) produce the same set of IDs in this context. However, some learners prefer the more explicit approach of using .keys() when the goal is to reference keys directly, whereas others rely on the cleaner iteration over the dict itself.

If we consider typical Python guidance, both C and D work for collecting keys. The other two options would collect either key-value pairs or value objects, not the IDs themselves.

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