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Cram for AP Computer Science Principles — Last-Minute Guide
Last-minute AP Computer Science Principles cram guide. Create PT rubric breakdown, MCQ topic guide (binary, encryption, algorithms), and key vocabulary for exam day.
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Scored against the standard published point categories for this format. Because it is your own prompt there is no official scoring guide behind it, so treat this as practice feedback rather than a predicted score. How we tested the grader.
AP Computer Science Principles is unique: 30% of your score comes from the Create Performance Task (PT), which you submit before exam day. The MCQ section covers a specific set of concepts that repeat across years — knowing them cold is the fastest path to points.
Create PT — 6 Rubric Rows (30% of Score)
Your written response must explicitly address all 6 rows. Graders do not infer — if your response doesn't directly state it, you don't earn the point:
- Program Purpose and Function: describe what the program does overall (purpose) AND what it does when run (functionality). These are different — purpose is the why, functionality is the what.
- Data Abstraction: show a list (array) storing multiple values and explain how the list manages complexity that could not be done as easily without it.
- Managing Complexity: explicitly state that your list "manages complexity" — use that phrase or equivalent. Describe how the program would be harder to write without the list.
- Procedural Abstraction: show a procedure (function) you wrote that takes parameters and is called in the program.
- Algorithm Implementation: your procedure must include sequencing, selection (if/else), AND iteration (loop). All three must appear together in one procedure.
- Testing: describe two test cases with different inputs, the expected output of each, and what the results tell you about your program's behavior.
MCQ Topics — What Appears Every Year
- Binary and hexadecimal: convert between binary, decimal, and hex. Know that 4 binary digits = 1 hex digit. Adding binary numbers, overflow when result exceeds bit limit.
- Lossless vs. lossy compression: lossless (ZIP, PNG) reconstructs original exactly; lossy (JPEG, MP3) permanently removes data. Lossy achieves higher compression ratios.
- Encryption: symmetric encryption uses the same key to encrypt and decrypt; asymmetric (public-key) uses a public key to encrypt and a private key to decrypt. HTTPS uses asymmetric to exchange a symmetric key.
- Internet fault tolerance: packet switching routes packets independently, allowing rerouting if a node fails. The Internet was designed so no single point of failure can take it down.
- Algorithm efficiency: O(n) algorithms scale linearly — doubling input doubles time. O(log n) algorithms (binary search) are far more efficient for large inputs. O(n²) algorithms become impractical quickly.
- Creative Commons licenses: CC BY (attribution required), CC BY-SA (share alike), CC BY-NC (noncommercial only), CC0 (public domain). Know which allows commercial use and which requires sharing under same terms.
Key Vocabulary the Exam Tests Directly
- Abstraction: reducing complexity by hiding implementation details and exposing only what is necessary.
- Algorithm: a finite set of steps that solves a problem or accomplishes a task.
- Sequencing, Selection, Iteration: the three control structures that must ALL appear together inside one procedure in your Create PT to earn the algorithm row.
- Undecidable problem: a problem for which no algorithm can always produce a correct yes/no answer (e.g., the Halting Problem).
- Metadata: data about data (file size, creation date, GPS coordinates in a photo) — often more revealing than the content itself.
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