1. Initiate
1 mastered domains and previous cape tier.
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A scanning line follows successive execution states. Trace statements in order to locate the first mismatch.
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0/10 masks mastered · 0/10 capes earned · 0/190 missions verified
Paths 1–3 open first. Two mastered paths open 4–6, five open 7–9, and nine open Singularity. Every numeric field must pass; guided attempts and replays award no extra credit. Plus never adds base XP.
1. Boundary debugging
AP CSP 1.4 · CRD-2.I, CRD-2.J
2. Preserve state
AP CSP 3.1 · AAP-1.A, AAP-1.B
3. Nested branches
AP CSP 3.7 · AAP-2.I
4. List edits
AP CSP 3.10 · AAP-2.N, AAP-2.O
5. Return placement
AP CSP 3.12 · AAP-3.A
6. Search intervals
AP CSP 3.11 · AAP-2.P
1. Range contracts
AP CSP 3.13 · AAP-3.B, AAP-3.C
2. Empty collections
AP CSP 3.2 · AAP-1.C, AAP-1.D
3. Boolean requirements
AP CSP 3.5 · AAP-2.E, AAP-2.F
4. Procedure arguments
AP CSP 3.12 · AAP-3.A
5. List abstraction
AP CSP 3.2 · AAP-1.C, AAP-1.D
6. Unsigned limits
AP CSP 2.1 · DAT-1.A, DAT-1.B, DAT-1.C
1. Linear search
AP CSP 3.11 · AAP-2.P
2. Ordered halving
AP CSP 3.11 · AAP-2.P
3. Polynomial work
AP CSP 3.17 · AAP-4.A
4. Parallel makespan
AP CSP 4.3 · CSN-2.A, CSN-2.B
5. Serial bottleneck
AP CSP 4.3 · CSN-2.A, CSN-2.B
6. Heuristic limits
AP CSP 3.17 · AAP-4.A
1. Counterexamples
AP CSP 3.9 · AAP-2.L, AAP-2.M
2. Boolean equivalence
AP CSP 3.5 · AAP-2.E, AAP-2.F
3. Inclusive randomness
AP CSP 3.15 · AAP-3.E
4. Model assumptions
AP CSP 3.16 · AAP-3.F
5. Undecidable claims
AP CSP 3.18 · AAP-4.B
6. Approximate solutions
AP CSP 3.17 · AAP-4.A
1. Data minimisation
AP CSP 5.6 · IOC-2.A, IOC-2.B, IOC-2.C
2. Authentication
AP CSP 5.6 · IOC-2.A, IOC-2.B, IOC-2.C
3. Key roles
AP CSP 5.6 · IOC-2.A, IOC-2.B, IOC-2.C
4. Suspicious messages
AP CSP 5.6 · IOC-2.A, IOC-2.B, IOC-2.C
5. Asset permission
AP CSP 5.5 · IOC-1.F
6. Linked identifiers
AP CSP 2.3 · DAT-2.A, DAT-2.B, DAT-2.C
1. Sequential totals
AP CSP 4.3 · CSN-2.A, CSN-2.B
2. Independent tasks
AP CSP 4.3 · CSN-2.A, CSN-2.B
3. Coordination cost
AP CSP 4.3 · CSN-2.A, CSN-2.B
4. Task allocation
AP CSP 4.3 · CSN-2.A, CSN-2.B
5. Distributed work
AP CSP 4.3 · CSN-2.A, CSN-2.B
6. Dependency chains
AP CSP 4.3 · CSN-2.A, CSN-2.B
1. Valid paths
AP CSP 4.2 · CSN-1.E
2. Endpoint isolation
AP CSP 4.2 · CSN-1.E
3. Missing packets
AP CSP 4.1 · CSN-1.A, CSN-1.B, CSN-1.C, CSN-1.D
4. Duplicate packets
AP CSP 4.1 · CSN-1.A, CSN-1.B, CSN-1.C, CSN-1.D
5. Naming and Web
AP CSP 4.1 · CSN-1.A, CSN-1.B, CSN-1.C, CSN-1.D
6. Capacity and delay
AP CSP 4.1 · CSN-1.A, CSN-1.B, CSN-1.C, CSN-1.D
1. User requirements
AP CSP 1.3 · CRD-2.E, CRD-2.F, CRD-2.G, CRD-2.H
2. Input and output
AP CSP 1.2 · CRD-2.A, CRD-2.B, CRD-2.C, CRD-2.D
3. Shared review
AP CSP 1.1 · CRD-1.A, CRD-1.B, CRD-1.C
4. Iterative development
AP CSP 1.3 · CRD-2.E, CRD-2.F, CRD-2.G, CRD-2.H
5. Data joins
AP CSP 2.4 · DAT-2.D, DAT-2.E
6. Library contracts
AP CSP 3.14 · AAP-3.D
1. Cleaning means
AP CSP 2.4 · DAT-2.D, DAT-2.E
2. Metadata and scope
AP CSP 2.3 · DAT-2.A, DAT-2.B, DAT-2.C
3. Compression overhead
AP CSP 2.2 · DAT-1.D
4. Rounding and sampling
AP CSP 2.1 · DAT-1.A, DAT-1.B, DAT-1.C
5. Group rates
AP CSP 5.3 · IOC-1.D
6. Association limits
AP CSP 2.3 · DAT-2.A, DAT-2.B, DAT-2.C
1. Purpose and access
AP CSP 5.2 · IOC-1.C
2. Crowdsourced quality
AP CSP 5.4 · IOC-1.E
3. Procedural reuse
AP CSP 3.13 · AAP-3.B, AAP-3.C
4. Nested route synthesis
AP CSP 3.6 · AAP-2.G, AAP-2.H
5. Ethical stakeholder trade-offs
AP CSP 5.1 · IOC-1.A, IOC-1.B
6. Evidence-based repair
AP CSP 1.4 · CRD-2.I, CRD-2.J
1 mastered domains and previous cape tier.
2 mastered domains and previous cape tier.
3 mastered domains and previous cape tier.
4 mastered domains and previous cape tier.
5 mastered domains and previous cape tier.
6 mastered domains and previous cape tier.
7 mastered domains and previous cape tier.
8 mastered domains and previous cape tier.
9 mastered domains and previous cape tier.
10 mastered domains and previous cape tier.
Original AP CSP practice using the current 2026–27 framework; not official AP questions, grading or Create-task evidence. These structured tasks check finite reasoning models, not arbitrary code or unrestricted proofs.