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LINQ, Collections and Generics Interview Questions for .NET Full Stack

25 LINQ, Collections and Generics questions with answers for .net full stack roles — 9 easy, 11 medium, 5 hard.

About LINQ, Collections and Generics

How .NET developers store and query data in memory: List, Dictionary, HashSet, concurrent and frozen collections, generics and constraints, and LINQ operators. Expect questions on deferred execution, IEnumerable versus IQueryable, choosing the right data structure for performance, and writing grouping, joining and ranking queries that also translate correctly to SQL.

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01

What is LINQ and why is it useful?

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LINQ, Language Integrated Query, lets you query collections, databases, XML and other sources with the same C# syntax using methods like Where, Select, OrderBy and GroupBy. Queries are type-checked at compile time and read close to the intent, for example orders.Where(o => o.Total > 500).OrderBy(o => o.Date). With EF Core, the same LINQ expression is translated into SQL, so you rarely write raw SQL strings.
02

When would you choose an array, a List<T> or a LinkedList<T>?

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An array has a fixed size and fastest index access, good when the count is known. List<T> wraps a resizable array, with O(1) index access and amortised O(1) add at the end, and is the default choice for most code. LinkedList<T> gives O(1) insert and remove at a known node but O(n) access by index and poor cache locality, so it is rarely the better option in practice.
03

When would you use a HashSet<T>?

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HashSet<T> stores unique values with O(1) average lookup, add and remove. Use it when you need fast membership checks, such as checking if an email already exists in a batch of 1 lakh records, or to remove duplicates. It also supports set operations like UnionWith, IntersectWith and ExceptWith. It does not keep insertion order or allow index access; use SortedSet<T> if you need sorted unique values.
04

Explain First, FirstOrDefault, Single and SingleOrDefault.

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First returns the first match and throws if none exists. FirstOrDefault returns the default value, null for classes, if none exists. Single expects exactly one match and throws if there are zero or more than one. SingleOrDefault returns default for zero but still throws for more than one. Use Single when duplicates would indicate a data bug, such as lookup by unique PAN number; otherwise FirstOrDefault is cheaper.
05

Find the second highest salary from a list using LINQ.

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int? second = employees .Select(e => e.Salary) .Distinct() .OrderByDescending(s => s) .Skip(1) .Cast<int?>() .FirstOrDefault(); Distinct handles ties, so if two people earn the top salary the next lower value is returned. Casting to int? makes the result null instead of 0 when fewer than two distinct salaries exist.
06

What are generics and what benefits do they give?

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Generics let you write classes and methods with a type parameter, such as List<T> or Repository<T>, that work with any type while staying type-safe. Benefits are compile-time checking instead of casts, no boxing for value types, and code reuse. For example, one generic Result<T> type can wrap any API response. The CLR creates specialised code for value types and shares code for reference types.
07

Why is Any() usually better than Count() > 0?

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Any() stops as soon as it finds one element, so it is O(1) for most sources, and in EF Core it translates to an efficient SQL EXISTS. Count() may need to walk the entire sequence or run COUNT(*) on the table, which is wasteful just to check for existence. For List<T> or arrays, the Count or Length property is also fine because it is stored, but Any() expresses the intent clearly.
08

Sort a list of students by marks descending, then by name ascending.

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var ranked = students .OrderByDescending(s => s.Marks) .ThenBy(s => s.Name) .ToList(); // in-place alternative with a comparison students.Sort((a, b) => b.Marks != a.Marks ? b.Marks.CompareTo(a.Marks) : string.Compare(a.Name, b.Name, StringComparison.Ordinal)); OrderBy is stable and returns a new sequence; List.Sort sorts in place and is not stable.
09

You need to remove inactive users from a List<User> while looping through it with foreach, and you get an InvalidOperationException. How do you fix it?

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foreach does not allow modifying the collection it is enumerating, so the enumerator throws. The simplest fix is users.RemoveAll(u => !u.IsActive), which is efficient and clear. Alternatives are looping backwards with a for loop and RemoveAt, or building a new filtered list with Where and ToList. For a dictionary, collect keys to remove first, then remove them after the loop.
10

What is deferred execution in LINQ?

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Most LINQ operators such as Where and Select do not run when you write them; they build a query that executes only when you enumerate it with foreach, ToList, Count or First. This means the query sees the latest data at enumeration time and can be composed step by step. The catch is that enumerating the same query twice runs it twice, which can mean two database calls. Call ToList to materialise once.
11

What is the difference between IEnumerable and IQueryable?

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IEnumerable<T> works on in-memory data and executes LINQ with C# delegates, so filters run in the application. IQueryable<T> holds an expression tree that a provider such as EF Core translates into SQL, so filtering, sorting and paging happen in the database. If you return IEnumerable from a repository and then call Where, all rows may be loaded first. Keep queries as IQueryable until the final shape is ready.
12

What is the difference between Select and SelectMany?

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Select projects each element to one result, so a list of customers mapped to their orders gives a list of lists. SelectMany projects each element to a sequence and flattens all sequences into one, so customers.SelectMany(c => c.Orders) gives a single list of all orders. In EF Core, SelectMany over a navigation collection translates to a SQL join, which is handy for reports.
13

Using LINQ, group employees by department and get the count and average salary.

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var report = employees .GroupBy(e => e.Department) .Select(g => new { Department = g.Key, Count = g.Count(), AvgSalary = g.Average(e => e.Salary) }) .OrderByDescending(x => x.AvgSalary) .ToList(); GroupBy returns groups with a Key, and aggregate methods run per group. With EF Core this translates to SQL GROUP BY.
14

Write a LINQ query that joins orders with customers and returns customer name and order total.

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var result = orders .Join(customers, o => o.CustomerId, c => c.Id, (o, c) => new { c.Name, o.Total }) .ToList(); // query syntax var result2 = (from o in orders join c in customers on o.CustomerId equals c.Id select new { c.Name, o.Total }).ToList(); Join is an inner join. For a left join use GroupJoin with DefaultIfEmpty, or the LeftJoin operator added in .NET 10.
15

What are generic constraints? Give examples.

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Constraints restrict which types can be used for a type parameter so the generic code can rely on certain members. Examples: where T : class (reference type), where T : struct, where T : new() (has a parameterless constructor), where T : BaseEntity (inherits a class), where T : IComparable<T>, and where T : notnull. A repository might use where T : class, IEntity so it can read the Id property safely.
16

Show how yield return works with an example.

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static IEnumerable<int> EvenNumbers(int max) { for (int i = 0; i <= max; i += 2) { yield return i; // pause here, resume on next MoveNext } } foreach (var n in EvenNumbers(10).Take(3)) Console.WriteLine(n); // 0 2 4 The compiler builds a state machine, so values are produced lazily one at a time. Only three values are generated here, which saves memory for large or infinite sequences.
17

Your code builds a LINQ query over a database, then calls Count() and later loops over it, and the logs show two SQL queries. Why, and how do you fix it?

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This is multiple enumeration caused by deferred execution. The variable holds a query, not data, so Count runs one SQL statement and the foreach runs another. Besides extra load, the two results may differ if data changes in between. Materialise once with var list = await query.ToListAsync(), then use list.Count and loop over the list. Code analysers flag possible multiple enumeration of IEnumerable as a warning.
18

A job matches 2 lakh uploaded records against 2 lakh existing IDs using list.Where(x => existingIds.Contains(x.Id)) and takes minutes. What is wrong?

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existingIds is a List, so Contains is O(n) and the whole operation becomes O(n x m), around 40 billion comparisons. Convert the IDs to a HashSet<int> first, making each lookup O(1) and the job run in milliseconds. If you also need associated data, build a Dictionary keyed by ID. Always check data structure complexity before parallelising or adding hardware.
19

Show the newer LINQ methods Chunk, DistinctBy and MaxBy.

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// split 1,000 ids into batches of 100 for bulk API calls foreach (int[] batch in ids.Chunk(100)) await SendBatchAsync(batch); // unique customers by email var unique = customers.DistinctBy(c => c.Email).ToList(); // highest-paid employee object, not just the salary Employee? top = employees.MaxBy(e => e.Salary); These were added in .NET 6 and remove the need for custom helpers or third-party libraries like MoreLINQ.
20

Tell me about a time you improved the performance of slow code.

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In my previous role (Situation) a daily reconciliation job took 40 minutes and sometimes missed its window. My task was to bring it under 10 minutes. I profiled it and found nested loops over two large lists and one database call per row. I replaced the inner loop with a Dictionary lookup and batched the database reads. Result: the job ran in about 4 minutes, and I documented the approach for the team.
21

How does Dictionary<TKey, TValue> work internally?

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Dictionary is a hash table. It calls GetHashCode on the key to choose a bucket, then uses Equals to find the exact entry if several keys share a bucket. Lookups, inserts and deletes are O(1) on average. When it fills up, it resizes and rehashes. Keys must have stable hash codes, so never mutate a key object after inserting it, and override GetHashCode with Equals for custom key types.
22

Explain covariance and contravariance in C# generics.

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Covariance, marked out T, lets you use a more derived type where a base type is expected: IEnumerable<string> can be assigned to IEnumerable<object> because the interface only returns T. Contravariance, marked in T, allows the reverse for inputs: an Action<object> can be used as Action<string>. They apply only to interfaces and delegates, and only with reference types. List<T> is invariant because it both reads and writes T.
23

Several threads update an in-memory Dictionary cache in a singleton service and you see corrupted data and exceptions. What would you use instead?

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System.Collections.Concurrent provides thread-safe collections: ConcurrentDictionary, ConcurrentQueue, ConcurrentStack, ConcurrentBag and BlockingCollection. They use fine-grained locking or lock-free techniques, so multiple threads can read and write without your own lock. Use ConcurrentDictionary for in-memory caches in singleton services. Note that GetOrAdd may run the value factory more than once under contention, so keep the factory side-effect free or wrap it in Lazy<T>.
24

You load 5,000 pincode-to-city mappings at startup and read them millions of times a day from many threads. Which collection would you use?

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Immutable collections like ImmutableList and ImmutableDictionary never change; modifications return a new collection that shares structure, which makes them safe to share across threads. FrozenDictionary and FrozenSet, added in .NET 8, are built once and heavily optimised for fast reads but cannot be modified. They suit lookup tables loaded at startup, such as state codes or feature flags, read millions of times per day.
25

An API endpoint calls _db.Orders.ToList().Where(o => o.CustomerId == id) and is slow as the table grows. Explain and fix it.

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ToList executes immediately, so the entire Orders table is loaded into memory and then filtered in C#. As data grows, memory and response time grow with it. Move the filter before materialisation: await _db.Orders.Where(o => o.CustomerId == id).AsNoTracking().ToListAsync(). Now EF Core sends a WHERE clause, the database uses an index on CustomerId, and only matching rows travel over the network.

Frequently asked questions

How important is LINQ, Collections and Generics in .NET Full Stack interviews?

How .NET developers store and query data in memory: List, Dictionary, HashSet, concurrent and frozen collections, generics and constraints, and LINQ operators. Expect questions on deferred execution, IEnumerable versus IQueryable, choosing the right data structure for performance, and writing grouping, joining and ranking queries that also translate correctly to SQL.

How should I use the LINQ, Collections and Generics sheet?

Go top to bottom — easy to hard. Answer before opening each answer, tick what you solved and save misses to Last-Minute Revision.