Python Institute Realistic PCED-30-02 Brain Dump Free Free PDF Quiz

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| Section | Weight | Objectives |
|---|
| Communicating Insights and Reporting | 12.5% | - Data Visualization
- 1. Recognize common visualization types (bar, line, pie charts)
- 2. Interpret simple data visualizations
- 3. Select appropriate visuals for different data types
- Data Storytelling and Reporting
- 1. Present insights with visual and verbal techniques
- 2. Create clear and concise analytical reports
- 3. Structure insights as a narrative
|
| Python Basics for Data Analysis | 32.5% | - Python Fundamentals
- 1. Implement control flow structures (loops, conditionals)
- 2. Define and use functions
- 3. Use variables, data types, and basic operators
- Data Structures
- 1. Work with lists, tuples, dictionaries, and sets
- 2. Apply common operations and methods to data structures
- File Handling
- 1. Use the csv module for basic CSV operations
- 2. Read from and write to files (text, CSV)
|
| Introduction to Data and Data Analysis Concepts | 22.5% | - Data Analysis Process and Workflow
- 1. Identify common data sources and collection methods
- 2. Explain the role of data cleaning and preparation
- 3. Describe the steps of the data analysis process
- Define and Classify Data
- 1. Differentiate structured, semi-structured, and unstructured data
- 2. Classify data as quantitative or qualitative
- 3. Explain how data becomes meaningful
- Data Ethics and Privacy
- 1. Understand basic data privacy concepts
- 2. Recognize ethical considerations in data handling
|
| Working with Data and Performing Simple Analyses | 32.5% | - Data Cleaning and Transformation
- 1. Perform basic data transformation (filtering, sorting, grouping)
- 2. Handle missing and inconsistent data
- Data Analysis with Python Libraries
- 1. Utilize the collections module for specialized containers
- 2. Perform basic operations with NumPy arrays
- 3. Use the math and statistics modules for basic calculations
- 4. Work with the datetime module for date/time data
- Simple Analytical Techniques
- 1. Calculate descriptive statistics (mean, median, mode)
- 2. Identify basic patterns and trends in data
|
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Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions (Q51-Q56):
NEW QUESTION # 51
A list is reversed using slicing: lst[::-1]. The programmer wants to confirm whether this modifies the original list or creates a new one. What is the correct behavior?
- A. Modifies original
- B. Returns None
- C. Creates new list
- D. Error
Answer: C
Explanation:
Slicing creates a new list object rather than modifying the original. The expression lst[::-1] returns a reversed copy, leaving the original list unchanged.
NEW QUESTION # 52
You are writing a function named process_data()to read and process numerical input from a file. The function must:
- read the file data.txt,
- attempt to convert the first line into an integer,
- handle file, conversion, or index-related exceptions,
- print the value only if no error occurs,
- and always print a final message after execution.
Which implementation correctly and robustly meets all these conditions? Select the best answer.
Answer: B
Explanation:
It wraps file reading and integer conversion in a try block, catches the relevant file, conversion, and indexing exceptions, prints the value only in the no-error path using an else block, and uses a finally block to always print the final message.
NEW QUESTION # 53
Which of the following statements about Python functions are correct? (Choose two.)
- A. Functions can only return numeric values or strings.
- 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. A function cannot call itself or be passed as an argument to itself.
- E. passexecutes the function body and returns its result.
- F. Default parameters must always come before required ones in the parameter list.
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 # 54
A Python loop uses range(5, 0, -2) to iterate backward. The programmer expects a decreasing sequence. Which values will actually be generated when this loop runs?
- A. 5, 4, 3, 2, 1
- B. 4, 2, 0
- C. 5, 3, 1
- D. 5, 3
Answer: C
Explanation:
The range starts at 5 and decreases by 2 each step until it reaches a value greater than 0. The generated sequence is 5, 3, and 1.
NEW QUESTION # 55
You are given two lists representing daily page views and sign-ups on a website:
views = [120, 130, 128, 700, 115, 123, 119, 680, 122]
signups = [12, 15, 13, 50, 11, 14, 10, 55, 13]
You want to:
- remove outliers (views > 600), and
- calculate correlation between the cleaned lists.
Which code accomplishes this correctly? Select the best answer.
Answer: C
Explanation:
It converts the lists to NumPy arrays, builds a boolean mask based on the views threshold to remove outliers, applies the same mask to both arrays so they stay aligned, and then computes the correlation on the cleaned pairs using np.corrcoef.
NEW QUESTION # 56
......
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