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of a problem or system to be considered clearly."},{"text":"essential information","correct":false,"explanation":"This reverses the principle of abstraction by removing what is needed. The correct term is unnecessary detail, which can be hidden without affecting the model's purpose."},{"text":"relevant features","correct":false,"explanation":"Relevant features must remain visible because they affect the problem being considered. Abstraction instead removes unnecessary detail so attention can remain on those features."},{"text":"the model's purpose","correct":false,"explanation":"The purpose determines which details are relevant; it is not something abstraction removes. The hidden material is unnecessary detail that does not affect the required answer."}]},{"id":"b65e4fe6-4d3a-4fb5-9e08-4fd430f5545f","cardType":"basic","points":1,"front":"What makes abstraction purposeful rather than just \"less detail\"?","back":"It keeps information needed for the problem.","mcqOptions":[{"text":"It keeps information needed for the problem.","correct":true,"explanation":"Purposeful abstraction removes irrelevant detail while preserving the information required to answer the question or solve the particular problem."},{"text":"It removes all details from the problem.","correct":false,"explanation":"Removing everything would leave no usable model or solution. Purposeful abstraction keeps information needed for the problem while hiding only details that are irrelevant."},{"text":"It keeps only the easiest information to represent.","correct":false,"explanation":"Ease of representation does not determine relevance. Purposeful abstraction keeps information needed for the problem, even when that information is difficult to represent."},{"text":"It keeps the same information for every problem.","correct":false,"explanation":"This ignores that relevance depends on the problem's purpose. Purposeful abstraction keeps the information needed for the particular problem, so different problems may retain different details."}]},{"id":"fd860e1c-f1bb-4887-bb9b-732a8965ba63","cardType":"basic","points":1,"front":"What decides whether a detail is relevant in an abstraction?","back":"The model's purpose or question being answered.","mcqOptions":[{"text":"The model's purpose or question being answered.","correct":true,"explanation":"A detail is relevant when it can affect the model's intended use or the answer to its question, so relevance depends on purpose."},{"text":"The model's size or amount of storage available.","correct":false,"explanation":"Storage limits may restrict a model, but they do not define relevance. The model's purpose or question determines whether a detail can affect the required result."},{"text":"The programmer's preference or favourite level of detail.","correct":false,"explanation":"Personal preference should not determine what the abstraction retains. Relevance is decided by the model's purpose or the specific question it must answer."},{"text":"The system's age or programming language used.","correct":false,"explanation":"Neither age nor implementation language determines conceptual relevance. A detail is relevant when it matters to the model's purpose or question being answered."}]},{"id":"05cc918f-baa6-4fc1-959c-1ef29db64f78","cardType":"basic","points":1,"front":"If changing a detail could change the model's answer, what should the abstraction do?","back":"Keep it as relevant.","mcqOptions":[{"text":"Keep it as relevant.","correct":true,"explanation":"A detail capable of changing the model's answer affects its purpose, so it must be retained and treated as relevant within the abstraction."},{"text":"Remove it as unnecessary.","correct":false,"explanation":"This mistakes a result-changing detail for irrelevant information. If changing it could alter the model's answer, the abstraction must keep it as relevant."},{"text":"Hide it as irrelevant.","correct":false,"explanation":"Irrelevant details can change without affecting the required result. Because this detail could change the answer, the abstraction should keep it as relevant."},{"text":"Replace it as arbitrary.","correct":false,"explanation":"Treating the detail as arbitrary could produce an incorrect model answer. Any detail that can affect that answer must instead be kept as relevant."}]},{"id":"9f8edce3-400d-4e2f-97b5-93e09086a3ae","cardType":"basic","points":2,"front":"Why can the same real-world situation have different abstractions?","back":"Different purposes make different details relevant.","mcqOptions":[{"text":"Different purposes make different details relevant.","correct":true,"explanation":"An abstraction is created for a particular use or question. When the purpose changes, the details that can affect the required result may also change."},{"text":"Different users make every detail equally relevant.","correct":false,"explanation":"A user's identity alone does not make all information relevant. Different purposes make different details relevant, producing distinct abstractions of the same situation."},{"text":"Random choices determine which details are removed.","correct":false,"explanation":"Details should not be selected randomly because that could remove information needed by the model. Different purposes determine which details are relevant."},{"text":"Greater accuracy requires every detail to be retained.","correct":false,"explanation":"A useful abstraction can remain accurate for its intended purpose without modelling everything. Different purposes make different details relevant, so unnecessary information can still be removed."}]},{"id":"50c8bb71-c5b6-4509-aaf0-dabafd2986cd","cardType":"basic","points":2,"front":"Why is abstraction needed for real systems?","back":"Real systems are too complex to understand, design, test or program at once.","mcqOptions":[{"text":"Real systems are too complex to understand, design, test or program at once.","correct":true,"explanation":"Abstraction manages complexity by letting developers focus on one relevant level or component rather than considering every detail of a real system simultaneously."},{"text":"Real systems contain too little detail to understand, design, test or program effectively.","correct":false,"explanation":"The difficulty is an excess of interacting detail, not a shortage of it. Real systems are too complex to understand, design, test or program at once."},{"text":"Real systems can only be understood, designed, tested or programmed all at once.","correct":false,"explanation":"This reverses abstraction's benefit: systems are divided into manageable views or components. Their complexity makes considering the whole system at once impractical."},{"text":"Real systems become simple enough to understand, design, test or program without abstraction.","correct":false,"explanation":"Real systems do not naturally become simple enough to manage unaided. Abstraction is needed because their full complexity cannot be understood, designed, tested or programmed at once."}]},{"id":"41f5c5fe-f800-4cab-9ce7-ba3141f3ee8e","cardType":"basic","points":2,"front":"How does abstraction help algorithm design?","back":"It gives clear inputs, rules and outputs.","mcqOptions":[{"text":"It gives clear inputs, rules and outputs.","correct":true,"explanation":"An abstract problem specification identifies what data enters, how it should be processed and what results are required, providing a clear basis for an algorithm."},{"text":"It gives clear hardware, memory and clock speeds.","correct":false,"explanation":"These describe implementation resources rather than the logical structure of an algorithm. Abstraction supports algorithm design by defining clear inputs, rules and outputs."},{"text":"It gives clear syntax, formatting and comments.","correct":false,"explanation":"These concern how code is written and presented, not how a solution is designed. Abstraction clarifies the inputs, processing rules and required outputs."},{"text":"It gives clear test data, errors and fixes.","correct":false,"explanation":"Testing information is useful after or during development, but it does not define the algorithm itself. Abstraction helps by specifying clear inputs, rules and outputs."}]},{"id":"562862b3-d11a-4377-bccb-273a4f29d84c","cardType":"basic","points":2,"front":"How does abstraction help reuse solutions?","back":"Similar problems can share the same abstract structure.","mcqOptions":[{"text":"Similar problems can share the same abstract structure.","correct":true,"explanation":"Abstraction exposes a common underlying pattern while ignoring situation-specific details, allowing one general approach or algorithm to be reused for multiple similar problems."},{"text":"Only identical problems can share the same abstract structure.","correct":false,"explanation":"This overlooks the purpose of generalisation. Similar problems can share an abstract structure even when their concrete data or contexts differ, enabling solution reuse."},{"text":"Similar problems must use the same programming language.","correct":false,"explanation":"A solution's underlying idea can be reused across different programming languages. Reuse comes from recognising the same abstract structure, not from using identical syntax."},{"text":"Each problem requires a completely unique solution structure.","correct":false,"explanation":"This denies the shared patterns that abstraction reveals. Similar problems can have the same abstract structure, allowing an existing solution method to be adapted and reused."}]},{"id":"5c7a0f23-25ed-48f9-8026-1dc65fd63a0c","cardType":"cloze","points":null,"front":"A [ ] level of abstraction hides more detail than a low level.","back":"A high level of abstraction hides more detail than a low level.","mcqOptions":[{"text":"high","correct":true,"explanation":"A high level of abstraction conceals underlying implementation details and presents only the features relevant to the user or programmer."},{"text":"low","correct":false,"explanation":"A low level exposes more implementation detail rather than hiding it. The correct term is high, because higher abstraction removes low-level complexity from view."},{"text":"machine","correct":false,"explanation":"A machine level is close to hardware and exposes instructions, registers and memory details. The correct term is high, where those implementation details are hidden."},{"text":"detailed","correct":false,"explanation":"A detailed level reveals rather than conceals information. The correct term is high, because a high level of abstraction presents a simplified view of the system."}]},{"id":"7b308b07-237b-4b30-b7b4-1ea4a858781d","cardType":"basic","points":2,"front":"In layered computer systems, why does hiding lower-level detail help?","back":"It makes the system easier to use and build.","mcqOptions":[{"text":"It makes the system easier to use and build.","correct":true,"explanation":"Hiding implementation details lets users work through simpler interfaces and allows developers to construct each layer without managing all lower-level complexity directly."},{"text":"It makes the system easier to encrypt and secure.","correct":false,"explanation":"Abstraction does not inherently encrypt data or protect a system from attacks. It makes the system easier to use and build by concealing lower-level complexity."},{"text":"It makes the system easier to store and transmit.","correct":false,"explanation":"Hiding lower-level details does not directly reduce storage or transmission requirements. Its benefit is making the system easier to use and build through simpler interfaces."},{"text":"It makes the system easier to measure and compress.","correct":false,"explanation":"Abstraction does not automatically measure or compress a computer system. It makes the system easier to use and build because each layer hides unnecessary implementation details."}]},{"id":"8b880e84-e67d-489a-85ae-def0100d10d8","cardType":"basic","points":1,"front":"In a quickest walking-route model, what should junctions, entrances and crossings become?","back":"Nodes.","mcqOptions":[{"text":"Nodes.","correct":true,"explanation":"Nodes represent significant locations or decision points in a route graph, so junctions, entrances and crossings are modelled as nodes."},{"text":"Edges.","correct":false,"explanation":"Edges represent the paths connecting locations, not the locations themselves. Junctions, entrances and crossings should become nodes because they are route decision points."},{"text":"Weights.","correct":false,"explanation":"Weights are numerical costs attached to connections, such as walking times. Junctions, entrances and crossings are locations, so they should be represented as nodes."},{"text":"Algorithms.","correct":false,"explanation":"Algorithms process the completed graph but do not represent its locations. Junctions, entrances and crossings should become nodes within the route model."}]},{"id":"b3dc0713-1e9e-45e6-9d16-db9500c87be9","cardType":"basic","points":1,"front":"In a quickest walking-route model, what should paths between locations become?","back":"Edges.","mcqOptions":[{"text":"Edges.","correct":true,"explanation":"Edges connect pairs of nodes in a graph, so walkable paths between represented locations are modelled as edges."},{"text":"Nodes.","correct":false,"explanation":"Nodes represent the locations at the ends of paths, not the paths themselves. The paths connecting those locations should become edges."},{"text":"Weights.","correct":false,"explanation":"Weights store costs such as time or distance on a connection; they are not the connection itself. Paths between locations should become edges."},{"text":"Algorithms.","correct":false,"explanation":"Algorithms search or process a route model rather than representing its paths. The paths connecting modelled locations should become edges."}]},{"id":"60aee526-7246-466f-9df2-0274d37c73e5","cardType":"cloze","points":null,"front":"In a quickest walking-route graph, each edge can store an estimated [ ].","back":"In a quickest walking-route graph, each edge can store an estimated walking time.","mcqOptions":[{"text":"walking time","correct":true,"explanation":"Walking time measures the cost of traversing each edge, allowing a shortest-path algorithm to minimise total journey time across the route."},{"text":"driving time","correct":false,"explanation":"Driving time models travel by vehicle rather than walking and may produce very different edge costs. A quickest walking-route graph should store estimated walking time."},{"text":"walking speed","correct":false,"explanation":"Walking speed alone is not the traversal cost because the edge’s length must also be considered. The edge should store estimated walking time for route comparison."},{"text":"arrival time","correct":false,"explanation":"Arrival time depends on when the entire journey begins and is not an edge-specific traversal cost. Each edge should instead store its estimated walking time."}]},{"id":"11e25b1d-3182-4aa7-9724-851dd00e1719","cardType":"cloze","points":null,"front":"A graph whose connections have values such as distance or time is a [ ].","back":"A graph whose connections have values such as distance or time is a weighted graph.","mcqOptions":[{"text":"weighted graph","correct":true,"explanation":"A weighted graph assigns a numerical value or cost to each edge, such as its distance, duration or financial cost."},{"text":"unweighted graph","correct":false,"explanation":"An unweighted graph treats connections as having no explicit differing costs. A graph with distance or time values on its edges is a weighted graph."},{"text":"complete graph","correct":false,"explanation":"A complete graph connects every node directly to every other node, which does not describe edge values. Values such as time make it a weighted graph."},{"text":"bipartite graph","correct":false,"explanation":"A bipartite graph divides nodes into two sets with edges only between sets; this is unrelated to numerical edge values. The correct term is weighted graph."}]},{"id":"922e9c13-a4b2-4bea-9fa7-11c00849b22b","cardType":"basic","points":1,"front":"What algorithm type can be applied to a weighted route model to find a quick route?","back":"A shortest-path algorithm.","mcqOptions":[{"text":"A shortest-path algorithm.","correct":true,"explanation":"A shortest-path algorithm compares accumulated edge weights to find the route with the lowest total cost, such as the shortest walking time."},{"text":"A minimum-spanning-tree algorithm.","correct":false,"explanation":"A minimum-spanning-tree algorithm minimises the total weight needed to connect all nodes, not the cost of a route between two locations. A shortest-path algorithm is required."},{"text":"A depth-first-search algorithm.","correct":false,"explanation":"Depth-first search explores one branch deeply but does not generally find the lowest-weight route. A shortest-path algorithm accounts for accumulated edge weights."},{"text":"A sorting algorithm.","correct":false,"explanation":"A sorting algorithm orders data but does not determine a minimum-cost route through a weighted graph. This task requires a shortest-path algorithm."}]},{"id":"5e8df099-15a7-4a5f-828c-f5963eaf65f7","cardType":"basic","points":3,"front":"Why can adding every detail make a model worse?","back":"

Harder to understand.
Slower to process.
More difficult to test.

","mcqOptions":[{"text":"

Harder to understand.
Slower to process.
More difficult to test.

","correct":true,"explanation":"Including unnecessary detail increases cognitive complexity, gives the processor more information to handle and creates more behaviours and cases that must be tested."},{"text":"

Easier to understand.
Slower to process.
More difficult to test.

","correct":false,"explanation":"Extra detail makes a model harder, not easier, to understand because users must consider more information. It can also slow processing and make testing more difficult."},{"text":"

Harder to understand.
Faster to process.
More difficult to test.

","correct":false,"explanation":"Processing generally becomes slower, not faster, when every detail is included because the system must handle more data. The model is also harder to understand and test."},{"text":"

Harder to understand.
Slower to process.
Easier to test.

","correct":false,"explanation":"Adding detail creates additional states and cases, making the model more difficult rather than easier to test. It also makes understanding harder and processing slower."}]},{"id":"bd1376d4-4d57-441e-88ff-d37eb3d47696","cardType":"cloze","points":null,"front":"An abstract model can be useful without being perfect if it is [ ].","back":"An abstract model can be useful without being perfect if it is fit for purpose.","mcqOptions":[{"text":"fit for purpose","correct":true,"explanation":"A model is fit for purpose when it represents the features needed for its intended task accurately enough, even though other details may be omitted or simplified."},{"text":"completely accurate","correct":false,"explanation":"Complete accuracy would require reproducing reality rather than abstracting it. The model only needs to be fit for purpose by representing the relevant features sufficiently well."},{"text":"universally applicable","correct":false,"explanation":"A model is normally designed for a particular task, not every possible context. It is useful when it is fit for purpose for its intended application."},{"text":"highly detailed","correct":false,"explanation":"Adding detail can make a model unnecessarily complex without improving its usefulness. The key requirement is that the model is fit for purpose, not highly detailed."}]},{"id":"04963eac-d44e-43d7-a899-bd6d17376522","cardType":"basic","points":2,"front":"Why is an abstract model never exactly the same as reality?","back":"It uses omissions, assumptions or simplified rules.","mcqOptions":[{"text":"It uses omissions, assumptions or simplified rules.","correct":true,"explanation":"Abstraction deliberately leaves out irrelevant detail and represents complex behaviour through assumptions or simplified rules, so the resulting model cannot be identical to reality."},{"text":"It includes every physical detail and interaction.","correct":false,"explanation":"Representing every physical detail would be an attempted copy rather than an abstraction. A model differs from reality because it uses omissions, assumptions or simplified rules."},{"text":"It reproduces all real behaviour without simplification.","correct":false,"explanation":"Perfectly reproducing all real-world behaviour would remove the simplification that makes abstraction useful. Abstract models instead use omissions, assumptions or simplified rules."},{"text":"It avoids all assumptions about the system.","correct":false,"explanation":"Avoiding assumptions is not what distinguishes a model from reality. Models necessarily rely on omissions, assumptions or simplified rules to make a problem manageable."}]},{"id":"524bf95f-77fc-4cd1-8d8e-ccc1bd1eaea8","cardType":"basic","points":1,"front":"What could happen if a route model ignores one-way streets?","back":"It may suggest illegal routes.","mcqOptions":[{"text":"It may suggest illegal routes.","correct":true,"explanation":"Without one-way restrictions, the model may treat travel in both directions as valid and recommend a route that requires driving illegally against permitted traffic flow."},{"text":"It may suggest routes through missing roads.","correct":false,"explanation":"Ignoring direction restrictions does not invent roads that are absent from the map. It may instead suggest illegal routes by allowing travel the wrong way."},{"text":"It may report every road as closed.","correct":false,"explanation":"One-way information controls permitted direction, not whether every road is open or closed. Omitting it may cause the model to suggest illegal routes."},{"text":"It may require two-way streets only.","correct":false,"explanation":"Ignoring one-way rules does not limit the model to roads supporting two-way travel. It may wrongly permit either direction and therefore suggest illegal routes."}]},{"id":"3dffc72d-e777-4c5d-8936-f2a94fa0ce6a","cardType":"basic","points":2,"front":"Why can tall buildings make a GPS fitness model calculate distance wrongly?","back":"GPS signals may bounce, making positions jump unrealistically.","mcqOptions":[{"text":"GPS signals may bounce, making positions jump unrealistically.","correct":true,"explanation":"Tall buildings can reflect satellite signals before they reach the receiver. This multipath effect creates inaccurate position fixes that jump around and distort the calculated distance."},{"text":"GPS signals may slow down, making the timer run too quickly.","correct":false,"explanation":"Tall buildings do not make satellite signals slow enough to alter the fitness model’s timer. Reflections make signals bounce, producing unrealistic jumps in recorded position."},{"text":"GPS signals may merge, making every recorded position identical.","correct":false,"explanation":"Signals arriving from several satellites are processed rather than merging into one fixed location. The relevant error is reflected signals bouncing and causing position jumps."},{"text":"GPS signals may strengthen, making positions perfectly stable.","correct":false,"explanation":"Buildings usually obstruct or reflect GPS signals rather than strengthening them. Reflected signals can bounce along indirect paths, causing inaccurate positions that jump unrealistically."}]},{"id":"6dcc3efa-e91e-444e-8b27-34b715608b00","cardType":"cloze","points":null,"front":"An [ ] is a property of an entity; a [ ] describes how entities connect.","back":"An attribute is a property of an entity; a relationship describes how entities connect.","mcqOptions":[{"text":"An attribute is a property of an entity; a relationship describes how entities connect.","correct":true,"explanation":"An attribute stores a characteristic of an entity, such as a student’s name. A relationship represents an association between entities, such as a student enrolling on a course."},{"text":"An entity is a property of an entity; a relationship describes how entities connect.","correct":false,"explanation":"An entity is the identifiable object being modelled, not one of its properties. An attribute is a property, while a relationship describes connections between entities."},{"text":"An attribute is a property of an entity; a entity describes how entities connect.","correct":false,"explanation":"An attribute does describe an entity’s property, but an entity is an object rather than a connection. A relationship is what describes how entities connect."},{"text":"An relationship is a property of an entity; a attribute describes how entities connect.","correct":false,"explanation":"This reverses the two database-modelling concepts. An attribute represents a property of an entity, whereas a relationship represents a connection between entities."}]},{"id":"3565c9c9-e49e-4789-9f25-4cc2f03b3bb1","cardType":"basic","points":1,"front":"In a library lending model, what rule stops the same book being borrowed twice at once?","back":"A book cannot be on two active loans at the same time.","mcqOptions":[{"text":"A book cannot be on two active loans at the same time.","correct":true,"explanation":"An active loan records that a particular copy is currently borrowed. Preventing a second active loan for that book stops two members borrowing the same copy simultaneously."},{"text":"A book cannot be on two completed loans at the same time.","correct":false,"explanation":"A book can appear in many completed historical loan records because these refer to different periods. The constraint must prevent two active loans at the same time."},{"text":"A member cannot be on two active loans at the same time.","correct":false,"explanation":"Libraries normally permit a member to borrow several different books concurrently. The required rule applies to each book, preventing it from having two active loans."},{"text":"A book cannot have two catalogue records at the same time.","correct":false,"explanation":"Catalogue-record uniqueness does not directly represent whether a copy is currently borrowed. The lending constraint is that a book cannot have two active loans simultaneously."}]},{"id":"5190ae78-6e61-490f-9a2b-18be2b15195e","cardType":"basic","points":1,"front":"Which abstraction suits a supermarket checkout?","back":"A queue model.","mcqOptions":[{"text":"A queue model.","correct":true,"explanation":"Customers generally join at the rear, wait in order and leave from the front after being served, matching a first-in, first-out queue model."},{"text":"A stack model.","correct":false,"explanation":"A stack is last-in, first-out, which would serve the newest arrival first. Checkout customers are normally served first-in, first-out using a queue model."},{"text":"A tree model.","correct":false,"explanation":"A tree represents hierarchical relationships, such as folders and subfolders, rather than an ordered line of customers. A supermarket checkout suits a queue model."},{"text":"A graph model.","correct":false,"explanation":"A graph is useful for networks of connected nodes, such as road maps. Checkout customers form a first-in, first-out sequence represented by a queue model."}]},{"id":"4ff18b3e-9041-4310-8957-22fee323182c","cardType":"cloze","points":null,"front":"In programming, a function or class lets you use named behaviour without thinking about every [ ].","back":"In programming, a function or class lets you use named behaviour without thinking about every internal step.","mcqOptions":[{"text":"internal step","correct":true,"explanation":"Procedural abstraction hides the implementation behind a meaningful function or class interface, allowing programmers to use its behaviour without considering every internal step."},{"text":"input value","correct":false,"explanation":"A programmer often must supply or understand input values when using a function. Abstraction instead removes the need to consider each internal step of its implementation."},{"text":"method name","correct":false,"explanation":"The method name is part of the visible interface and is needed to invoke behaviour. What abstraction hides is each internal step used to produce that behaviour."},{"text":"return type","correct":false,"explanation":"A return type is commonly part of the interface and may be needed to use the result correctly. Abstraction primarily hides each internal implementation step."}]}]}],"examCountdown":{"examDate":"2027-06-07","paperLabel":"Paper 1"},"heading":"Thinking abstractly","title":"Thinking abstractly Flashcards","topbar":{"backHref":"/a-level/computer-science/ocr/flashcards"},"topicSidebar":"$L38"}]}],"topicId":"649209a1-246f-5722-b91c-00dd3080514f","walled":"$L39"}],"$L3a","$L3b"]