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Top Software Engineer Interview Questions

Review this list of 715 Software Engineer interview questions and answers verified by hiring managers and candidates.
  • Amazon logoAsked at Amazon 
    6 answers
    +3

    "Approach (BFS + Horizontal Distance) Assign a horizontal distance (HD) to each node. Root → HD = 0 Left child → HD = parent HD - 1 Right child → HD = parent HD + 1 Do a BFS (level order traversal). If a node with a given HD is seen for the first time, add it to the result. Ignore later nodes with the same HD (because only the top one is visible). After traversal, sort by HD and print nodes left to righ"

    Firdous A. - "Approach (BFS + Horizontal Distance) Assign a horizontal distance (HD) to each node. Root → HD = 0 Left child → HD = parent HD - 1 Right child → HD = parent HD + 1 Do a BFS (level order traversal). If a node with a given HD is seen for the first time, add it to the result. Ignore later nodes with the same HD (because only the top one is visible). After traversal, sort by HD and print nodes left to righ"See full answer

    Software Engineer
    Data Structures & Algorithms
    +1 more
  • Capital One logoAsked at Capital One 
    Add answer
    Software Engineer
    Data Structures & Algorithms
    +2 more
  • Databricks logoAsked at Databricks 
    2 answers

    "Constraints: 4-direction moves; no mode switching (pick exactly one of {1=bicycle, 2=bike, 3=car, 4=bus} for the full trip). Per-mode search: If a mode’s per-step time/cost are uniform, run BFS on allowed cells. Then totaltime = steps × timeperstep, tie-break by steps × costper_step. If time/cost vary by cell (given matrices), run Dijkstra per mode minimizing (totaltime, totalcost) lexicographically. Maintain the best ⟨time, cost⟩ per cell; relax when the new pair is strictly better. S"

    Rahul J. - "Constraints: 4-direction moves; no mode switching (pick exactly one of {1=bicycle, 2=bike, 3=car, 4=bus} for the full trip). Per-mode search: If a mode’s per-step time/cost are uniform, run BFS on allowed cells. Then totaltime = steps × timeperstep, tie-break by steps × costper_step. If time/cost vary by cell (given matrices), run Dijkstra per mode minimizing (totaltime, totalcost) lexicographically. Maintain the best ⟨time, cost⟩ per cell; relax when the new pair is strictly better. S"See full answer

    Software Engineer
    Data Structures & Algorithms
    +1 more
  • Accenture logoAsked at Accenture 
    3 answers

    "Good"

    Rahul S. - "Good"See full answer

    Software Engineer
    Behavioral
    +2 more
  • Bloomberg logoAsked at Bloomberg 
    1 answer

    "Implemented the Java code to find the largest island. It is similar to count the island. But in this we need to keep track of max island and compute its perimeter."

    Techzen I. - "Implemented the Java code to find the largest island. It is similar to count the island. But in this we need to keep track of max island and compute its perimeter."See full answer

    Software Engineer
    Data Structures & Algorithms
    +2 more
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  • "Was given 90 minutes with an exhaustive set of requirements to be implemented as a full-stack coding exercise. It was supposed to have a UX, a server and a database to store and retrieve data. The IDE was supposed to be self-setup before the interview. The panel asked questions on top of the implementation around decision making from a technical perspective"

    Aman G. - "Was given 90 minutes with an exhaustive set of requirements to be implemented as a full-stack coding exercise. It was supposed to have a UX, a server and a database to store and retrieve data. The IDE was supposed to be self-setup before the interview. The panel asked questions on top of the implementation around decision making from a technical perspective"See full answer

    Software Engineer
    Coding
  • Amazon logoAsked at Amazon 
    Add answer
    Software Engineer
    Behavioral
  • Apple logoAsked at Apple 
    Add answer
    Software Engineer
    System Design
  • Flatiron Health logoAsked at Flatiron Health 
    1 answer
    Software Engineer
    Data Structures & Algorithms
    +2 more
  • Anthropic logoAsked at Anthropic 
    Add answer
    Software Engineer
    Coding
  • Meta logoAsked at Meta 
    1 answer

    "int[] sqSorted(int[] nums) { int i = 0, j = nums.length-1; int k = nums.length-1; int[] sqs = new int[nums.length]; while(i n1) { sqs[k--] = n2; j--; } else { sqs[k--] = n1; i++; } } for(int n: sqs) System.out.println(n); return sqs; }"

    Mahaboob P. - "int[] sqSorted(int[] nums) { int i = 0, j = nums.length-1; int k = nums.length-1; int[] sqs = new int[nums.length]; while(i n1) { sqs[k--] = n2; j--; } else { sqs[k--] = n1; i++; } } for(int n: sqs) System.out.println(n); return sqs; }"See full answer

    Software Engineer
    Data Structures & Algorithms
    +2 more
  • DoorDash logoAsked at DoorDash 
    1 answer

    "Thorough analysis of the asks- what is the strategic fit, overall business value, goals? Analysis of resources - skillset/ time/ dependencies. Create a list of all the things that we have to do, rank them by value(impact), urgency and effort needed. Stakehodler inputs. Moscow priroitization/ value vs effort frameworks. Have clear communication channels with our stakehodlers to socialzie progress/ effort Sequence the asks - subject to changing circumstances. Call ou"

    Anonymous Boa - "Thorough analysis of the asks- what is the strategic fit, overall business value, goals? Analysis of resources - skillset/ time/ dependencies. Create a list of all the things that we have to do, rank them by value(impact), urgency and effort needed. Stakehodler inputs. Moscow priroitization/ value vs effort frameworks. Have clear communication channels with our stakehodlers to socialzie progress/ effort Sequence the asks - subject to changing circumstances. Call ou"See full answer

    Software Engineer
    Behavioral
    +2 more
  • TikTok logoAsked at TikTok 
    1 answer

    "I aim to utilize hands-on activities to apply the knowledge I've acquired, safeguard the organization from threat actors, and contribute to its growth."

    Bravin V. - "I aim to utilize hands-on activities to apply the knowledge I've acquired, safeguard the organization from threat actors, and contribute to its growth."See full answer

    Software Engineer
    Behavioral
  • Notion logoAsked at Notion 
    Add answer
    Software Engineer
    System Design
  • Anthropic logoAsked at Anthropic 
    Add answer
    Software Engineer
    Artificial Intelligence
    +5 more
  • Amazon logoAsked at Amazon 
    1 answer

    "Here is my first shot at it. Please excuse formatting. To find the maximum depth of the dependencies given a list of nodes, each having a unique string id and a list of subnodes it depends on, you can perform a depth-first search (DFS) to traverse the dependency graph. Here's how you can implement this: Represent the nodes and their dependencies using a dictionary. Perform a DFS on each node to find the maximum depth of the dependencies. Keep track of the maximum depth encountered dur"

    Tes d H. - "Here is my first shot at it. Please excuse formatting. To find the maximum depth of the dependencies given a list of nodes, each having a unique string id and a list of subnodes it depends on, you can perform a depth-first search (DFS) to traverse the dependency graph. Here's how you can implement this: Represent the nodes and their dependencies using a dictionary. Perform a DFS on each node to find the maximum depth of the dependencies. Keep track of the maximum depth encountered dur"See full answer

    Software Engineer
    Data Structures & Algorithms
    +1 more
  • Google logoAsked at Google 
    1 answer

    "def encode(root): if not root: return [] def dfs(node): if not node: return res.append(node.val) res.append(len(node,children)) for child_node in node.children: dfs(child_node) res = [] dfs(root) return res def decode(arr): if not arr: return None n = len(arr) i = 0 def dfs(val, children_count): if children_count == 0: return Node(val) cur_node = Node(val) cur_node.children = [] for j in range(children_count): nonlocal i i += 2 cur_node.children.append(dfs(arr[i], arr[i"

    Ying T. - "def encode(root): if not root: return [] def dfs(node): if not node: return res.append(node.val) res.append(len(node,children)) for child_node in node.children: dfs(child_node) res = [] dfs(root) return res def decode(arr): if not arr: return None n = len(arr) i = 0 def dfs(val, children_count): if children_count == 0: return Node(val) cur_node = Node(val) cur_node.children = [] for j in range(children_count): nonlocal i i += 2 cur_node.children.append(dfs(arr[i], arr[i"See full answer

    Software Engineer
    Coding
  • Adobe logoAsked at Adobe 
    2 answers

    "#include #include #include using namespace std; void printComs(int prev, int start, int end, int target) { if (start >= end) return; while (start target) { end--; } else { st"

    Iris F. - "#include #include #include using namespace std; void printComs(int prev, int start, int end, int target) { if (start >= end) return; while (start target) { end--; } else { st"See full answer

    Software Engineer
    Data Structures & Algorithms
    +4 more
  • Software Engineer
    Behavioral
  • Google logoAsked at Google 
    Add answer
    Software Engineer
    Data Structures & Algorithms
    +1 more
Showing 341-360 of 715
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