Difference between revisions of "2022 Paper 1 Revision Quiz"
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<quiz display=simple> | <quiz display=simple> | ||
− | + | {When considering arrays, which of the following are correct | |
+ | |type="[]"} | ||
+ | +You must declare a size when creating the array | ||
+ | ||Correct | ||
+ | -You don't need to specify a size when creating an array | ||
+ | ||Incorrect | ||
+ | +The memory for the entire structure is allocated when it is created | ||
+ | ||Correct | ||
+ | -Only the initial memory is allocated when creating, the rest is allocated when we add items | ||
+ | ||Incorrect | ||
+ | |||
+ | {When using arrays the square brackets [] : | ||
+ | |type="()"} | ||
+ | -Are used to access the whole array | ||
+ | ||Incorrect | ||
+ | -Contain the data value to look up in the array | ||
+ | ||Incorrect | ||
+ | +Are used to access a specific element in the array | ||
+ | ||Correct | ||
+ | -Contain the data value store in the array | ||
+ | ||Incorrect | ||
− | = | + | {An array can be of any data type or class. |
− | + | |type="()"} | |
+ | +True | ||
+ | ||Correct | ||
+ | -False | ||
+ | ||Incorrect | ||
− | + | {A 2D array can still only be of one data type or class. | |
+ | |type="()"} | ||
+ | +True | ||
+ | ||Correct | ||
+ | -False | ||
+ | ||Incorrect | ||
− | + | {An Array is a: | |
− | |||
− | { | ||
|type="()"} | |type="()"} | ||
− | - | + | -Abstract Data Structure |
+ | ||Incorrect | ||
+ | -Dynamic Data Structure | ||
||Incorrect | ||Incorrect | ||
− | + | + | +Static Data Structure |
||Correct | ||Correct | ||
+ | -Strong Data Structure | ||
+ | ||Incorrect | ||
+ | </quiz> | ||
− | + | =Abstract Data Types & Dynamic vs Static= | |
− | + | <quiz display=simple> | |
− | |||
− | + | {A Abstract Data type is: | |
|type="[]"} | |type="[]"} | ||
− | - | + | -Defined by how it is implemented |
||Incorrect | ||Incorrect | ||
− | + | +Not defined by how it is implemented | |
− | |||
− | + | ||
||Correct | ||Correct | ||
− | + | + | +Can be implemented in many ways |
||Correct | ||Correct | ||
+ | -Can only be implement in one way | ||
+ | ||Incorrect | ||
− | { | + | {When considering dynamic structures, which of the following are correct |
− | |||
− | |||
− | |||
− | |||
|type="[]"} | |type="[]"} | ||
− | - | + | -You must declare a size when creating the structure |
− | || | + | ||incorrect |
− | + | -You don't need to specify a size when creating the structure | |
||Correct | ||Correct | ||
− | - | + | -The memory for the entire structure is allocated when it is created |
||Incorrect | ||Incorrect | ||
− | + | + | +Only the initial memory is allocated when creating, the rest is allocated when we add items |
||Correct | ||Correct | ||
− | { | + | {The benefits of static structures are: |
− | |||
− | |||
− | |||
− | |||
|type="[]"} | |type="[]"} | ||
− | - | + | -Makes the most efficient use of memory because it only allocates what is needed |
||Incorrect | ||Incorrect | ||
− | + | + | +Memory allocation is fixed so adding and removing data items should be straight forward |
||Correct | ||Correct | ||
− | + | + | +The size of the structure is known so you don't need to calculate the size of the structure |
||Correct | ||Correct | ||
− | - | + | -Are very flexible and items can be added and removed without worrying about where they are in the structure |
||Incorrect | ||Incorrect | ||
− | { | + | {The drawbacks of a static structure are: |
+ | |type="()"} | ||
+ | -It is possible for the structure to overflow or underflow | ||
+ | ||Incorrect | ||
+ | +Can be very inefficient with memory because memory is allocated whether it is needed or not | ||
+ | ||Correct | ||
+ | -The memory allocated will be fragmented so will take longer to read | ||
+ | ||Incorrect | ||
+ | - You might need to code basic function to get the size or number of items stored | ||
+ | ||Incorrect | ||
− | + | {The benefits of dynamic structures are: | |
− | |||
− | |||
|type="[]"} | |type="[]"} | ||
− | + | + | +Makes the most efficient use of memory because it only allocates what is needed |
||Correct | ||Correct | ||
− | - | + | -Memory allocation is fixed so adding and removing data items should be straight forward |
||Incorrect | ||Incorrect | ||
− | - | + | -The size of the structure is known so you don't need to calculate the size of the structure |
||Incorrect | ||Incorrect | ||
− | + | + | +Are very flexible and items can be added and removed without worrying about where they are in the structure |
||Correct | ||Correct | ||
− | { | + | {The drawbacks of a dynamic structure are: |
+ | |type="[]"} | ||
+ | +It is possible for the structure to overflow or underflow | ||
+ | ||Correct | ||
+ | -Can be very inefficient with memory because memory is allocated whether it is needed or not | ||
+ | ||Incorrect | ||
+ | +The memory allocated will be fragmented so will take longer to read | ||
+ | ||Correct | ||
+ | + You might need to code basic function to get the size or number of items stored | ||
+ | ||Correct | ||
− | + | </quiz> | |
− | + | =Queues= | |
− | + | <quiz display=simple> | |
− | < | + | {A queue is ? |
− | + | |type="()"} | |
− | + | - Last In First Out . | |
− | + | ||Incorrect | |
− | + | + First in First Out. | |
− | + | ||Correct | |
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | + | {Complete the following; | |
− | |||
− | Complete the | ||
|type="{}"} | |type="{}"} | ||
− | + | A new item must be added to the { back|rear|tail } of the queue. | |
− | + | You must remove the item at the { front|head } of the queue. | |
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | { | + | {In a Linear queue, the front of the queue will move further back as items are taken from the front of the queue. |
+ | |type="()"} | ||
+ | +True | ||
+ | ||Correct | ||
+ | -False | ||
+ | ||Incorrect | ||
− | + | {In a Linear queue, when an item is removed from the front of the queue the remaining items are moved forward. | |
+ | |type="()"} | ||
+ | -True | ||
+ | ||Incorrect | ||
+ | +False | ||
+ | ||Correct | ||
− | + | {A circular queue works by using pointers. The front pointer will point to: | |
− | |type=" | + | |type="()"} |
− | + | -The back of the queue | |
− | + | ||Incorrect | |
− | + | -The location for the next item onto the queue | |
− | + | ||Incorrect | |
− | + | +The first item in the queue | |
− | + | ||Correct | |
− | + | -The second item in the queue | |
− | + | ||Incorrect | |
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | { | + | {A circular queue works by using pointers. The rear pointer will point to: |
+ | |type="()"} | ||
+ | +The back of the queue | ||
+ | ||Correct | ||
+ | -The location for the next item onto the queue | ||
+ | ||Incorrect | ||
+ | -The first item in the queue | ||
+ | ||Incorrect | ||
+ | -The second item in the queue | ||
+ | ||Incorrect | ||
− | + | {To make a circular queue you must reset either pointer back to 1 when: | |
+ | |type="()"} | ||
+ | -Number of Items = Max Queue Size | ||
+ | ||Incorrect | ||
+ | -Number of Items = 0 | ||
+ | ||Incorrect | ||
+ | +When the Pointer Value = Max Queue Size | ||
+ | ||Correct | ||
− | + | {in a circular queue you must test for empty by: | |
− | |type=" | + | |type="()"} |
− | + | -Number of Items = Max Queue Size | |
− | + | ||Incorrect | |
− | + | +Number of Items = 0 | |
− | + | ||Correct | |
− | + | -When the Pointer Value = Max Queue Size | |
− | + | ||Incorrect | |
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | | | ||
− | |||
− | |||
− | |||
− | { | + | {in a circular queue you must test for full by: |
|type="()"} | |type="()"} | ||
− | + | + | +Number of Items = Max Queue Size |
||Correct | ||Correct | ||
− | - | + | -Number of Items = 0 |
+ | ||Incorrect | ||
+ | -When the Pointer Value = Max Queue Size | ||
||Incorrect | ||Incorrect | ||
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</tr> | </tr> | ||
<tr> | <tr> | ||
− | <td>C</td><td>{ None | + | <td>C</td><td>{ None }</td> |
</tr> | </tr> | ||
<tr> | <tr> | ||
− | <td>D</td><td>{ None | + | <td>D</td><td>{ None } </td> |
</tr> | </tr> | ||
</table> | </table> | ||
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{Complete the following | {Complete the following | ||
|type="{}"} | |type="{}"} | ||
− | You should use an adjacency list when there are { few | + | You should use an adjacency list when there are { few } edges. |
− | You should use an adjacency matrix if there are { many | + | You should use an adjacency matrix if there are { many } edges. |
{Processing adjacency matrix is much simpler because you can have direct access to check if an edge exists | {Processing adjacency matrix is much simpler because you can have direct access to check if an edge exists | ||
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<quiz display=simple> | <quiz display=simple> | ||
+ | {Depth First Traversal uses a: | ||
+ | |type="()"} | ||
+ | -Queue | ||
+ | ||Incorrect | ||
+ | +Stack | ||
+ | ||Correct | ||
+ | -List | ||
+ | ||Incorrect | ||
+ | -Dictionary | ||
+ | ||Incorrect | ||
+ | |||
+ | {Breadth First Traversal uses a: | ||
+ | |type="()"} | ||
+ | +Queue | ||
+ | ||Correct | ||
+ | -Stack | ||
+ | ||Inorrect | ||
+ | -List | ||
+ | ||Incorrect | ||
+ | -Dictionary | ||
+ | ||Incorrect | ||
+ | |||
+ | {Complete the following: | ||
+ | |type="{}"} | ||
+ | For Depth First & Breadth First traversals it is important to know when a node has been { discovered }. | ||
+ | When you evaluate a node the { neighbours } of the current node will be add to the Stack or Queue. | ||
+ | It is important to also record when you have { fully|completely } explored the current node. | ||
</quiz> | </quiz> | ||
Line 599: | Line 637: | ||
|type="{}"} | |type="{}"} | ||
− | 1) Constant : { O(1 | + | 1) Constant : { O(1) } |
− | 2) { Logarithmic | + | 2) { Logarithmic } : O(log N) |
− | 3) Linear : { O(N | + | 3) Linear : { O(N) } |
− | 4) Linearithmic : { O(N log N) | + | 4) Linearithmic : { O(N log N) } |
− | 5) { Polynomial | + | 5) { Polynomial } : O (N<sup>2</sup>) |
− | 6) { Exponential | + | 6) { Exponential } : O(k<sup>N</sup>) |
− | 7) Factorial : { O(N!) | + | 7) Factorial : { O(N!) } |
{Complete the Order of Complexity for the following examples: | {Complete the Order of Complexity for the following examples: | ||
|type="{}"} | |type="{}"} | ||
− | 1) Finding the first item in a list : { O(1)|Constant | + | 1) Finding the first item in a list : { O(1)|Constant } |
− | 2) { Binary Search | + | 2) { Binary Search } : Logarithmic or O(log N) |
− | 3) { Linear Search | + | 3) { Linear Search } : Linear or O(N) |
− | 4) Merge Sort : { Linearithmic|O(N log N | + | 4) Merge Sort : { Linearithmic|O(N log N) } |
− | 5) { Bubble Sort | + | 5) { Bubble Sort } : Polynomial or O (N<sup>2</sup>) |
− | 6) { Chess Board Problem | + | 6) { Chess Board Problem } : Exponential or O(k<sup>N</sup>) |
− | 7) { Travelling Salesman Problem | + | 7) { Travelling Salesman Problem }: Factorial or O(N!) |
</quiz> | </quiz> | ||
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{Complete the Halting Problem: | {Complete the Halting Problem: | ||
|type="{}"} | |type="{}"} | ||
− | ‘Is it possible to { write|create | + | ‘Is it possible to { write|create } a program that can tell given any { program } and its { inputs } and without { executing } the program, whether it will { halt }?’ |
</quiz> | </quiz> |
Latest revision as of 16:58, 3 June 2022
Contents
Recursion
Arrays
Abstract Data Types & Dynamic vs Static
Queues
Stacks
Graphs
Trees
Graph Traversal
Searching Algorithms
Sorting Algorithms
Optimisation Algorithms
Order of Complexity