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| Section | Objectives |
|---|
| Data Handling and Processing with Python | - Data manipulation libraries
- 1. NumPy basics
- 2. Pandas fundamentals
- Working with data structures
- 1. Lists, tuples, dictionaries
- 2. Iterating and transformations
|
| Data Analysis and Visualization | - Data cleaning and preprocessing
- 1. Data transformation techniques
- 2. Missing values handling
- Data visualization
- 1. Matplotlib basics
- 2. Plot interpretation
|
| Python Programming Fundamentals | - Basic syntax and data types
- 1. Variables and operators
- 2. Control flow basics
|
| Basic Statistics for Data Analysis | - Descriptive statistics
- 1. Mean, median, mode
- 2. Variance and standard deviation
|
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Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions (Q49-Q54):
NEW QUESTION # 49
A list is defined as [1, 2, 3]. The programmer uses the method .append([4, 5]). What will the resulting list look like after execution?
- A. [4,5,1,2,3]
- B. [1,2,3,4,5]
- C. Error
- D. [1,2,3,[4,5]]
Answer: D
Explanation:
The append() method adds its argument as a single element. Therefore, the list [4, 5] is added as one nested list, resulting in [1, 2, 3, [4, 5]].
NEW QUESTION # 50
A Python developer is testing truth values of different data types using the bool() function. The expression bool([0]) is evaluated in the script. What result should be expected when this expression is printed?
- A. False
- B. Error
- C. True
- D. None
Answer: C
Explanation:
In Python, any non-empty list evaluates to True in a Boolean context. Even though the element inside the list is zero, the list itself is not empty, so the result is True.
NEW QUESTION # 51
You are reviewing a report that compares the number of weekly client meetings and project completion rates across teams. The table below summarizes the data for each team:

Which statement best describes the data shown above? Select the best answer.
- A. "Teams with 5-6 weekly meetings tended to complete more projects than those with very high or very low meeting counts."
- B. The more meetings a team had, the more projects they finished, especially in high-performing teams like Omega and Delta."
- C. "Project completion numbers were nearly identical across all teams, averaging 3.25 per month."
- D. "Gamma and Omega were outliers that inflated the meeting average, but most teams finished about 3 projects per month."
Answer: A
Explanation:
Teams with moderate meeting counts around 5-6 per week (such as Alpha, Gamma, and Theta) completed among the highest numbers of projects, while teams with very high or very low meeting counts tended to complete fewer projects, indicating that moderate meeting frequency is associated with higher project completion.
NEW QUESTION # 52
Which of the following statements about Python functions are correct? (Choose two.)
- A. Default parameters must always come before required ones in the parameter list.
- B. Functions can only return numeric values or strings.
- C. passexecutes the function body and returns its result.
- D. Positional arguments must be passed in the order defined, while keyword arguments can be passed in any order using their parameter names.
- E. If a function does not contain a returnstatement, it returns Noneby default.
- F. A function cannot call itself or be passed as an argument to itself.
Answer: D,E
Explanation:
Positional arguments are matched to parameters by their position, so they must follow the defined order, while keyword arguments are matched by name and can be provided in any order. If a function completes without an explicit return statement, Python returns None automatically.
NEW QUESTION # 53
You are writing a function to validate battery voltage readings. The rules are:
- If the reading is "MISSING"or None, return "Missing".
- If the value is below 2.5or above 4.2, return "Outlier".
Otherwise, return "Normal".
Which version correctly implements this logic using the most robust conditional and nested structures? Select the best answer.
Answer: C
Explanation:
It first handles the non-numeric cases ("MISSING" and None) in a single condition, preventing invalid comparisons, and then cleanly checks the numeric outlier bounds using an or condition (<
2.5 or > 4.2) before defaulting to "Normal".
NEW QUESTION # 54
......
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