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DSA Goprogramming~10 mins

Adjacency List Representation in DSA Go - Interactive Practice

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Practice - 5 Tasks
Answer the questions below
1fill in blank
easy

Complete the code to declare an adjacency list as a map of slices.

DSA Go
adjList := make(map[int][1])
Drag options to blanks, or click blank then click option'
Aint
B[]int
Cmap[int]int
Dstring
Attempts:
3 left
💡 Hint
Common Mistakes
Using int instead of []int for the map value type.
Using map[int]int which is not suitable for adjacency lists.
2fill in blank
medium

Complete the code to add an edge from node 1 to node 2 in the adjacency list.

DSA Go
adjList[1] = append(adjList[1], [1])
Drag options to blanks, or click blank then click option'
A0
B3
C1
D2
Attempts:
3 left
💡 Hint
Common Mistakes
Appending the wrong node number.
Appending to the wrong key in the map.
3fill in blank
hard

Fix the error in the code to correctly initialize the adjacency list for 3 nodes.

DSA Go
adjList := make(map[int][1])
for i := 1; i <= 3; i++ {
    adjList[i] = [2]{}
}
Drag options to blanks, or click blank then click option'
Aint
B[]int
Cmap[int]int
Dstring
Attempts:
3 left
💡 Hint
Common Mistakes
Using int or map[int]int as map value type.
Initializing adjacency lists with nil or wrong types.
4fill in blank
hard

Fill both blanks to add edges from node 2 to nodes 1 and 3.

DSA Go
adjList[2] = append(adjList[2], [1])
adjList[2] = append(adjList[2], [2])
Drag options to blanks, or click blank then click option'
A1
B2
C3
D4
Attempts:
3 left
💡 Hint
Common Mistakes
Appending incorrect node numbers.
Appending the same node twice.
5fill in blank
hard

Fill all three blanks to print all neighbors of node 1 using a for loop.

DSA Go
for _, [1] := range adjList[1] {
    fmt.[2]([3])
}
Drag options to blanks, or click blank then click option'
Aneighbor
BPrintln
DPrint
Attempts:
3 left
💡 Hint
Common Mistakes
Using wrong variable names.
Using fmt.Print instead of fmt.Println.
Printing the wrong variable.

Practice

(1/5)
1. What does an adjacency list represent in graph data structures?
easy
A. A matrix showing distances between nodes
B. A list where each node stores its connected neighbors
C. A list of all nodes without connections
D. A stack of nodes visited during traversal

Solution

  1. Step 1: Understand adjacency list concept and compare options

    An adjacency list stores each node with a list of its neighbors, showing direct connections. Only the description "A list where each node stores its connected neighbors" correctly describes this structure; others describe different concepts.
  2. Final Answer:

    A list where each node stores its connected neighbors -> Option B
  3. Quick Check:

    Adjacency list = neighbors list [OK]
Hint: Adjacency list always stores neighbors per node [OK]
Common Mistakes:
  • Confusing adjacency list with adjacency matrix
  • Thinking adjacency list stores distances
  • Mixing adjacency list with traversal order
2. Which Go syntax correctly declares an adjacency list for a graph with integer nodes?
easy
A. var graph map[int][]int = make(map[int][]int)
B. var graph []int = make([]int, 0)
C. var graph map[int]int = make(map[int]int)
D. var graph [][]int = make([][]int, 0)

Solution

  1. Step 1: Identify adjacency list type in Go and check options for correct syntax

    An adjacency list maps each node (int) to a slice of connected nodes ([]int), so map[int][]int is correct. var graph map[int][]int = make(map[int][]int) uses map[int][]int with make, which is correct. Others use wrong types or slices without mapping.
  2. Final Answer:

    var graph map[int][]int = make(map[int][]int) -> Option A
  3. Quick Check:

    Adjacency list = map node to slice [OK]
Hint: Adjacency list in Go = map[node][]neighbors [OK]
Common Mistakes:
  • Using slice of ints instead of map for adjacency list
  • Declaring map[int]int which stores single int, not neighbors
  • Confusing slice of slices with map
3. Given the following Go code, what is the printed adjacency list?
graph := make(map[int][]int)
graph[1] = []int{2, 3}
graph[2] = []int{1}
graph[3] = []int{1, 4}
graph[4] = []int{3}

for node, neighbors := range graph {
    fmt.Printf("%d -> %v\n", node, neighbors)
}
medium
A. 1 -> [2 3] 2 -> [1] 3 -> [1 4] 4 -> [3]
B. 1 -> [1 4] 2 -> [2 3] 3 -> [3] 4 -> [4]
C. 1 -> [2] 2 -> [3] 3 -> [4] 4 -> [1]
D. 1 -> [] 2 -> [] 3 -> [] 4 -> []

Solution

  1. Step 1: Analyze graph assignments and match printed output

    Node 1 connects to 2 and 3, node 2 connects to 1, node 3 connects to 1 and 4, node 4 connects to 3. Output prints each node with its neighbors slice exactly as assigned, matching 1 -> [2 3]\n2 -> [1]\n3 -> [1 4]\n4 -> [3].
  2. Final Answer:

    1 -> [2 3] 2 -> [1] 3 -> [1 4] 4 -> [3] -> Option A
  3. Quick Check:

    Print adjacency list as assigned [OK]
Hint: Print adjacency list shows node and its neighbors slice [OK]
Common Mistakes:
  • Mixing neighbors between nodes
  • Confusing slice contents order
  • Assuming empty neighbors incorrectly
4. Identify the error in this Go code snippet for adding an edge to an undirected graph adjacency list:
func addEdge(graph map[int][]int, u int, v int) {
    graph[u] = append(graph[u], v)
    graph[v] = append(graph[u], v)
}
medium
A. append cannot be used with slices
B. Function does not return the updated graph
C. map[int][]int cannot be modified inside function
D. Second append uses graph[u] instead of graph[v]

Solution

  1. Step 1: Review append calls for edges and identify correct usage

    First append adds v to graph[u], correct. Second append should add u to graph[v], but uses graph[u] mistakenly. Second append must be graph[v] = append(graph[v], u) to add reverse edge for undirected graph.
  2. Final Answer:

    Second append uses graph[u] instead of graph[v] -> Option D
  3. Quick Check:

    Append neighbors to correct node slice [OK]
Hint: Append neighbors to correct node slice for undirected edges [OK]
Common Mistakes:
  • Appending to wrong slice causing incorrect graph
  • Thinking map cannot be modified inside function
  • Misunderstanding append usage in Go
5. You have a graph represented by an adjacency list in Go as map[int][]int. How would you efficiently check if an edge exists between nodes u and v?
hard
A. Iterate over graph[u] slice to find v; return true if found, else false
B. Check if graph[u][v] exists directly using indexing
C. Use a map[int]bool inside graph[u] for constant time lookup
D. Sort graph[u] slice and use binary search to find v

Solution

  1. Step 1: Understand adjacency list lookup and optimize lookup with map

    graph[u] is a slice, so direct indexing by v is invalid (Check if graph[u][v] exists directly using indexing wrong). Iteration (Iterate over graph[u] slice to find v; return true if found, else false) is linear time. Using map[int]bool inside graph[u] allows constant time check if v is neighbor (Use a map[int]bool inside graph[u] for constant time lookup). Sorting and binary search (Sort graph[u] slice and use binary search to find v) adds overhead.
  2. Final Answer:

    Use a map[int]bool inside graph[u] for constant time lookup -> Option C
  3. Quick Check:

    Map lookup faster than slice iteration [OK]
Hint: Use map for neighbors to check edges fast [OK]
Common Mistakes:
  • Trying to index slice by node value directly
  • Ignoring performance of linear search
  • Overcomplicating with sorting when map is simpler
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