Adobe Coding Interview Questions: Patterns and Top Problems

Adobe’s tagged problem list barely changes. The same classics rotate year after year, and candidates report seeing identical questions across different teams. For anyone willing to prepare systematically, this is the friendliest list on the site. Effort spent on the top problems converts to interview points almost one for one.

This page ranks the coding questions that appear most often across Adobe’s full tagging history on LeetCode. Recent windows hold too few tagged problems to rank fairly, so the table uses the complete set of 148. Every row links to the pattern guide on this site that teaches its technique.

The short version

• Twenty ranked problems come from a full set of 148. The same classics return each year.
• Ninety-six of 148 rank Medium. Medium depth decides most rounds.
• Arrays appear in 90 of 148 tagged problems. Linked lists take four of the top 20 rows.

Adobe’s Interview Loop

• An online assessment opens most processes. It holds two or three coding tasks on a timed platform.
• One or two phone screens follow with live coding.
• The onsite loop runs about three or four rounds in one day.
• Most rounds are coding, drawn heavily from the classic bank.
• A hiring manager round usually closes the loop with project and behavioral discussion.

Because rounds draw from a stable pool, interviewers often know the problem deeply and expect clean execution. They have seen every partial solution before. Correctness plus clear communication of edge cases earns more here than flashy alternative approaches.

The Questions Adobe Asks Most

LeetCode tags problems by company from candidate reports and scores each tag on a relative frequency scale from 0 to 100. These 20 score highest across the full tagging history. Forty-seven problems reach the very top band overall, which shows how concentrated demand stays at the head of this list.

If you learn five guides first, learn these

1. Start with linked list . Four of the top 20 rows need it, including LRU Cache.
2. Pair it with hash table . Two Sum, Group Anagrams, and Majority Element share that core.
3. Build the array manipulation base next. Ninety of 148 tagged problems use arrays.
4. Add interval scheduling for the two Merge-style rows. Both use the sort-first shape.
5. Finish with dynamic programming . Climbing Stairs opens the path and Number of Increasing Paths extends it.

One row needs a note. Tenth Line is a shell scripting question, not an algorithm problem, so it carries no pattern link here. Its presence tells you Adobe sometimes checks basic command line fluency alongside algorithm work. Keep sed and awk basics warm if your role touches build tooling.

Topics and Difficulty Across the Full History

The most common topics among all 148 tagged problems appear below. Shares overlap because topics repeat inside one problem.

Sorting carries no link because we treat it as part of other patterns rather than a pattern of its own. Arrays dominate harder at Adobe than anywhere else on the site, at 61 percent against Google’s 52 percent. Graph traversal combines breadth-first and depth-first search into roughly a quarter of tagged problems, mostly through Number of Islands style grids.

Difficulty sits at the standard big-tech profile:

Two thirds Medium matches Nvidia’s lean and runs heavier than Google’s half-and-half split. Prepare at Medium depth, keep Easy answers fast and polished, and hold Trapping Rain Water and Median of Two Sorted Arrays as your Hard benchmarks since both appear in the top band here.

Method: the full Adobe-tagged set on LeetCode, 148 problems ranked by relative frequency scores from 0 to 100. Shares overlap because one problem can carry several topics.

Where to Spend Your Prep Time

1. Master the hash table trio first. Two Sum, Group Anagrams, and Majority Element occupy three rows by themselves. The hash table guide covers all three forms.
2. Learn linked lists until reversal is automatic. LRU Cache, Add Two Numbers, Reverse Linked List, and Delete Node give linked lists four top-20 rows. The linked list guide is the single highest-yield read.
3. Cover intervals completely. Merge Intervals and Divide Intervals Into Groups both rank high. The interval scheduling guide teaches the sort-first template both need.
4. Add entry level dynamic programming. Climbing Stairs is the gentlest DP on any list here, and Number of Increasing Paths scales it up. Work through the dynamic programming guide in order.
5. Review the whole bank on a schedule. This list rewards retention over range. Spaced repetition keeps all twenty warm without daily rereading.

    graph TD
    A["Hash table trio"] --> B["Linked list reversal"]
    B --> C["Interval sort-first shape"]
    C --> D["Entry level dynamic programming"]
    D --> E["Top twenty solved once"]
    E --> F["Spaced repetition until interview day"]
  

The diagram shows the prep plan in order, from the most repeated shapes to full review mode.

Questions Candidates Ask

Is twenty problems enough for Adobe?

Twenty covers the head of a stable list. Forty-seven problems reach the top band, and the same classics return each year. Learn the twenty cold, then widen only if time remains.

Where should I start?

With the linked list guide. Four of the top 20 rows need it. Then take the hash table guide for Two Sum, Group Anagrams, and Majority Element.

How hard is the Adobe set?

Ninety-six of 148 rank Medium. That is about two thirds of the set. Prepare at Medium depth and keep Easy answers fast. Hold Median of Two Sorted Arrays as your Hard benchmark.

What about Tenth Line with no pattern guide?

Tenth Line tests shell scripting, not algorithms. It carries no pattern link for that reason. Keep sed and awk basics warm if your role touches build tooling.

Next Steps

Work the top 20 until each solution takes one sitting, then switch to review mode. The coding patterns index lists every guide, and linked list plus hash table are the best first reads for this specific list. See how much wider the pools run at Google and Amazon , where novelty spreads across hundreds of tagged problems instead of dozens.