Hot PCED-30-02 Spot Questions - New PCED-30-02 Exam Test

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Python Institute PCED-30-02 Exam Syllabus Topics:

Section	Objectives
Basic Statistics for Data Analysis	- Descriptive statistics 1. Variance and standard deviation 2. Mean, median, mode
Data Handling and Processing with Python	- Working with data structures 1. Iterating and transformations 2. Lists, tuples, dictionaries - Data manipulation libraries 1. NumPy basics 2. Pandas fundamentals
Python Programming Fundamentals	- Basic syntax and data types 1. Control flow basics 2. Variables and operators
Data Analysis and Visualization	- Data visualization 1. Matplotlib basics 2. Plot interpretation - Data cleaning and preprocessing 1. Data transformation techniques 2. Missing values handling

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Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions (Q11-Q16):

NEW QUESTION # 11
Which of the following statements about Python functions are correct? (Choose two.)

A. passexecutes the function body and returns its result.
B. If a function does not contain a returnstatement, it returns Noneby default.
C. Positional arguments must be passed in the order defined, while keyword arguments can be passed in any order using their parameter names.
D. Functions can only return numeric values or strings.
E. Default parameters must always come before required ones in the parameter list.
F. A function cannot call itself or be passed as an argument to itself.

Answer: B,C

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 # 12
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: D

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 # 13
An online retailer collects customer reviews, order transaction logs, and product ratings.
Which of the following correctly classifies these types of data? Select the best answer.

A. Product ratings are qualitative and unstructured; customer reviews are quantitative and structured; transaction logs are semi-structured and qualitative.
B. Product ratings are qualitative and structured; customer reviews are qualitative and unstructured; transaction logs are quantitative and semi-structured.
C. Product ratings are quantitative and unstructured; customer reviews are structured and qualitative; transaction logs are quantitative and unstructured.
D. Product ratings are quantitative and structured; customer reviews are qualitative and unstructured; transaction logs are structured and quantitative

Answer: D

Explanation:
Product ratings are numeric values stored in fixed fields, making them quantitative and structured.
Customer reviews are free-text responses, which are qualitative and unstructured. Transaction logs consist of organized records with defined fields such as order ID, date, and amount, making them structured and quantitative.

NEW QUESTION # 14
You are working with city names entered by users. These names may contain inconsistent capitalization and unwanted spaces.
To standardize the data, you want to:
- Remove any leading or trailing whitespace, and
- Capitalize the first letter of each word (e.g., convert "new york" to "New York").
For example:
" New york " → "New York"
"lOS ANGELES" → "Los Angeles"
You are given a variable citythat contains the raw input.
Which line of code correctly updates the value of cleaned_cityto apply the required transformation? Select the best answer.

A. cleaned_city = city.upper().strip()
B. cleaned_city = city.strip().capitalize()
C. cleaned_city = city.upper().replace(" ", "")
D. cleaned_city = city.strip().title()

Answer: D

Explanation:
Stripping removes leading and trailing whitespace, and applying title formatting capitalizes the first letter of each word while converting the remaining letters to lowercase, producing the correctly standardized city name.

NEW QUESTION # 15
You are reading a data.csvfile line by line. To prepare each line for formatting with f-strings, you need to remove extra whitespace and split the values by commas.
Which line should you insert to correctly clean and parse the input?

A. fields = line.replace(', ', '|').split('|')
B. fields = line.strip().split(', ')
C. fields = line.split().strip(', ')
D. fields = line.split(', ').trim()

Answer: B

NEW QUESTION # 16
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