Python Institute PCPP1 – Certified Professional in Python Programming 1 PCPP-32-101 Exam Dumps: Updated Questions & Answers (August 2026)

The dump() method in the xml.etree.ElementTree module allows you to output a debug representation of an XML tree to a file or standard output. This method is useful for analyzing the structure of the tree and tracking down errors.

ConfigParser is a built-in library in Python that allows you to read and write configuration files. The read method is used to read the configuration file which can be in any of the supported file formats, such as INI, YAML, and JSON. The read_dict method is used to read the configuration from a Python dictionary. The read_conf and read_str options are not valid methods in the ConfigParser module.

Therefore, the correct options to load a configuration using ConfigParser are A. read and D. read_string.

If purple can be obtained from mixing red and blue, which color codes represent the two ingredients? Select two answers)

A. #FFFFFF

B. #0000FF

C. #FF0000

D. #000000

The correct answers are C and D. PEP 8 recommends that module names should be short and entirely lower-case; underscores may be used only when they improve readability. This keeps imports clean and predictable. PEP 8 also warns against using the single-character variable names l, O, or I because they can be visually confused with 1 and 0 in many fonts. Option A is incorrect because Python class names should normally use the CapWords convention, not mixedCase. Option B is incorrect because exception names are class names and should follow class naming conventions; if the exception represents an error, the name should usually end with Error.

According to PEP 8, Python's official style guide, line breaks before binary operators produce more readable code, especially in code blocks with long expressions. This is stated in several sources (1,2,6,8) and is a widely accepted convention.

The correct answers are C and D. PEP 257 defines a docstring as a string literal that appears as the first statement in a module, function, class, or method definition. This placement is important because Python assigns that string to the object’s __doc__ attribute, making it available to tools such as help(), IDEs, documentation generators, and introspection utilities. Option D is also correct because PEP 257 distinguishes between one-line docstrings and multi-line docstrings. Option A is false because a one-line docstring keeps its closing quotes on the same line. Option B is too broad: ordinary string literals appearing anywhere in code are not automatically treated as official runtime docstrings.

The correct answers are B and D. In Python’s csv module, a normal csv.reader object reads each CSV row as a list of strings, so option B is true. A csv.DictReader object reads each row into a dictionary, using field names as keys, so option D is also true. Option A is false because DictReader does not always take headers from the first row; field names can be provided explicitly through the fieldnames argument. Option C is false because DictWriter requires field names so it knows which dictionary keys correspond to CSV columns and in what order they should be written. This distinction between row lists and row dictionaries is central to CSV processing.

The correct answers are A and C. Option A uses a concise one-line docstring that explains the function’s purpose in a useful way. It follows the common Python documentation style by describing what the function returns rather than repeating implementation mechanics. Option C is also useful because the inline comment explains why the value is being adjusted, not merely what the code already shows. Option B is poor because it restates the obvious operation n = n - 1; such comments add noise instead of clarity. Option D is weaker because the docstring describes internal mechanics and argument handling rather than the function’s intended result. Good Python comments should clarify intent, purpose, or non-obvious reasoning.

A socket object is usually created using the socket() constructor provided by the socket module in Python. The correct invocation is  socket.socket(socket_domain, socket_type) . This creates a new socket object with the specified socket domain and type.

The correct answers are A and B. Option A uses a clean multi-line dictionary layout, placing each key-value pair on its own line and aligning the closing brace clearly. This is readable and consistent with PEP 8’s preference for clear continuation formatting. Option B is also compliant because continuation lines are aligned with the opening delimiter of the function call, which is an accepted PEP 8 style. Option C is not compliant because the function call is split awkwardly, making the call structure unclear and damaging readability. Option D uses unnecessary spaces inside braces and around dictionary colons; PEP 8 discourages extraneous whitespace in expressions and dictionary displays.