Is Apple interview difficult for freshers?

Yes — Apple campus and new-grad tracks are selective. Expect strict time limits on coding, follow-up probes, and high signal on communication. A free mock test helps you practice pacing and articulation under pressure.

How many rounds are in Apple campus placement?

Most Apple loops include an online assessment, one or more technical interviews (DSA and sometimes design fundamentals), then behavioral or hiring-manager rounds. Exact stages vary by role and region.

What DSA topics are asked in Apple interviews?

Arrays, strings, hash maps, trees, graphs, two pointers, sliding window, binary search, and basic DP appear frequently. Practice medium problems until you can explain trade-offs cleanly.

Does Apple ask system design in fresher interviews?

Full system design is less common for pure fresher roles, but you may see architecture discussions, API trade-offs, or scalability basics. Prepare one concise mental model for caching, databases, and scaling reads.

Candidates were asked to Substring with concatenation of all words — rolling hash plan and collision handling for Apple.

State assumptions first, outline a hard-complexity plan emphasizing Heap, then verify with a small example — practice aloud under OA timers for Apple.

Hiring managers at Apple frequently open with: Compare TCP vs QUIC for a video upload API — latency angles Apple interviewers like to probe.

Lead with structure: constraints, algorithm family (Reliability), complexity, then trade-offs — mock on InterviewForge using this exact Apple prompt style.

Candidates were asked to How do you prioritize tech debt vs features — framework answer for Apple PM-partnered loops.

For Apple: give one verification strategy (tests, invariants, or cross-checks) and mention how you would recover if the interviewer adds a twist mid-way.

In a recent 2025 campus drive for Apple, Kth largest in a stream — heap vs quickselect; which would Apple infra prefer under memory caps?

State assumptions first, outline a medium-complexity plan emphasizing Trees, then verify with a small example — practice aloud under OA timers for Apple.

Hiring managers at Apple frequently open with: Relative speed boats upstream/downstream with different current — template seen before Apple interviews.

State assumptions first, outline a medium-complexity plan emphasizing DI, then verify with a small example — practice aloud under OA timers for Apple.

In a recent 2025 campus drive for Apple, Trap rain water II (3D) — high-level approach if full code is too long for Apple timebox.

Anchor on DP: define inputs/outputs, pick the invariant, narrate while coding — debrief mistakes in a log so recurring Apple patterns stick.

A common OA question at Apple is to Word ladder II — BFS layer + backtrack; how would you cap output size in a Apple OA?

Lead with structure: constraints, algorithm family (Greedy), complexity, then trade-offs — mock on InterviewForge using this exact Apple prompt style.

Start free mock test — Apple

Campus placement · 2026

Apple Interview Questions 2026 (With Answers + Mock Test)

Everything you need for Apple on-campus or virtual drives: real-style question prompts, test pattern, difficulty, and a free mock test so you rehearse under time pressure before the shortlist matters.

Hiring process5 main stages from application to offer.
DifficultyOverall: Hard — see section below for what that means.
Roles offeredSoftware / engineering roles (campus-specific) · Analyst or APM-style tracks where listed by the recruiter · Intern-to-full-time conversion paths (varies by region)

Start free mock test Resume score Aptitude drills

Last updated: June 2026·Based on latest campus placement trends for Product / big-tech style roles.

Key insights for Apple

Distributions and rates are modeled from typical campus placement patterns for this company category — always confirm cutoffs and syllabus with your TPO and official briefings.

Most asked topic

Intervals, heaps, and medium DP with tight follow-ups

Difficulty score

10/10

Hard (10/10): Bar is high for speed, correctness, and follow-up depth. Candidates who only memorize templates tend to struggle on Apple-style extensions.

Prep time

9–14 weeks

Focused daily blocks, not passive reading.

Estimated interview focus mix

DSA / coding-style52%

Aptitude / speed reasoning12%

Core (fundamentals, HR, cases, domain)36%

Selection funnel

Roughly 1.9–3.8% of screened candidates reach final offer stages on competitive campuses (varies by batch and role).

Hiring focus

Speed coding with edge-case discipline, verbal complexity trade-offs, and behavioral depth with metrics.

Actionable tips

Log every OA mistake for Apple in a spreadsheet — one column for "wrong assumption" — and redo only those patterns twice weekly.
Record yourself narrating while coding; interviewers grade communication as heavily as correctness on many panels.

What our data shows for Apple

Modeled from the same deterministic question bank as the lists below — stable per company slug, comparable across builds.

Most frequent topic: API
Most recent trend: 55% of modeled prompts in this bank sit in the 2026 recency band — panels are refreshing OA mixes faster than three years ago.
Hardest round: Technical / coding screens carry the hardest difficulty mix in this modeled set.
Key insight: Across modeled items, "API" shows up most often — double your reps there before Apple shortlists close.

Campus Placement Mode

Fresher Mode ON: simpler phrasing, guided feedback, confidence-first prompts.

Recent interview experience (2025–2026)

Representative campus track for Product / big-tech style interviews — rounds and examples vary by office; use this as a rehearsal script, not a guarantee.

Winter / early 2026 intern and new-grad cohorts · cohort signals for Apple

Round 1: Online assessment

Timed platform with two algorithmic tasks plus a short MCQ block on Apple fundamentals.

Sections

Coding (2 problems, partial scoring)
MCQ: complexity, trees, SQL basics
Optional: probability warm-ups

Example prompts

Subarray with bounded distinct elements + follow-up on memory
MCQ: best/worst case for quicksort pivot choices

90 minutes typical; platform timer non-pausable.

Round 2: Technical interview

Live coding with nested constraints; interviewer extends problem twice if you solve quickly.

Example prompts

Implement LRU with O(1) ops then discuss concurrency caveats

Problem types

Graph BFS layering
Heap + greedy scheduling
Binary search on answer space

45–60 minutes per panel; 1–2 panels common.

Round 3: HR / behavioral

STAR depth on ownership, ambiguity, and collaboration; expect two scenario probes on deadlines.

Example prompts

Why Apple vs other offers?
Tell me about a time metrics disagreed with intuition — what did you ship?

30–45 minutes; sometimes combined with hiring manager.

Most asked Apple interview questions

High-frequency signals from the full bank — same slug always yields the same top set, ranked by modeled panel recurrence for Product / big-tech style.

HardHigh2026
Source: Common OA pattern
Tags
HeapBinary searchStrings
Confidence80%
Candidates were asked to Substring with concatenation of all words — rolling hash plan and collision handling for Apple.
Based on latest interview data (updated August 2025)
Was this accurate?
Variants & follow-ups
- Constraint twist: interviewer tightens memory or time — restate the trade-off you would negotiate at Apple.
- Edge extension: spell out behavior for empty input, duplicates, and overflow before you code.
- Follow-up: they ask for a streaming / online version — what state do you keep and why?
MediumHigh2026
Source: Derived from recent drives
Tags
DIPatternAptitude
Confidence90%
Hiring managers at Apple frequently open with: Relative speed boats upstream/downstream with different current — template seen before Apple interviews.
Based on latest interview data (updated August 2025)
Was this accurate?
MediumHigh2026
Source: Common OA pattern
Tags
GreedyHeap
Confidence82%
A common OA question at Apple is to Word ladder II — BFS layer + backtrack; how would you cap output size in a Apple OA?
Based on latest interview data (updated August 2025)
Was this accurate?
Variants & follow-ups
- Speed probe: can you remove one log factor — where is the bottleneck in your first approach?
- Variant: same problem but sorted input / duplicates allowed — how does your invariant change?
MediumHigh2026
Source: Derived from recent drives
Tags
ReliabilityScale-outSystems
Confidence85%
Hiring managers at Apple frequently open with: Compare TCP vs QUIC for a video upload API — latency angles Apple interviewers like to probe.
Based on latest interview data (updated August 2025)
Was this accurate?
MediumHigh2026
Source: Reported by candidates
Tags
TreesGraphs
Confidence84%
In a recent 2025 campus drive for Apple, Kth largest in a stream — heap vs quickselect; which would Apple infra prefer under memory caps?
Based on latest interview data (updated August 2025)
Was this accurate?
Variants & follow-ups
- Constraint twist: interviewer tightens memory or time — restate the trade-off you would negotiate at Apple.
- Edge extension: spell out behavior for empty input, duplicates, and overflow before you code.
EasyHigh2026
Source: Common OA pattern
Tags
DPGreedyHeap
Confidence93%
In a recent 2025 campus drive for Apple, Trap rain water II (3D) — high-level approach if full code is too long for Apple timebox.
Based on latest interview data (updated August 2025)
Was this accurate?
Variants & follow-ups
- Follow-up: they ask for a streaming / online version — what state do you keep and why?
- Speed probe: can you remove one log factor — where is the bottleneck in your first approach?
- Variant: same problem but sorted input / duplicates allowed — how does your invariant change?
EasyHigh2026
Source: Common OA pattern
Tags
STARBehavioral
Confidence83%
Candidates were asked to How do you prioritize tech debt vs features — framework answer for Apple PM-partnered loops.
Based on latest interview data (updated August 2025)
Was this accurate?

Apple Interview Questions 2026

All Apple interview questions (2026) — structured like real OA and interview data: difficulty, modeled ask-rate, topic tags, and coding follow-ups. Phrases such as Apple OA questions and Apple coding questions match how candidates search before your drive.

Apple coding questions

EasyMedium2025
Source: Common OA pattern
Tags
StringsTrees
Confidence75%
A recurring screen item at Apple: Recover BST from two swapped nodes — inorder pattern and O(1) space twist asked at Apple panels.
Based on latest interview data (updated August 2025)
Was this accurate?
Variants & follow-ups
- Edge extension: spell out behavior for empty input, duplicates, and overflow before you code.
- Follow-up: they ask for a streaming / online version — what state do you keep and why?
HardHigh2026
Source: Common OA pattern
Tags
HeapBinary searchStrings
Confidence80%
Candidates were asked to Substring with concatenation of all words — rolling hash plan and collision handling for Apple.
Based on latest interview data (updated August 2025)
Was this accurate?
Variants & follow-ups
- Constraint twist: interviewer tightens memory or time — restate the trade-off you would negotiate at Apple.
- Edge extension: spell out behavior for empty input, duplicates, and overflow before you code.
- Follow-up: they ask for a streaming / online version — what state do you keep and why?
HardLowOlder
Source: Derived from recent drives
Tags
DPGreedy
Confidence55%
Hiring managers at Apple frequently open with: Maximal rectangle in binary matrix — reduce to histogram stacks and narrate stack states for Apple.
Based on latest interview data (updated August 2025)
Was this accurate?
Variants & follow-ups
- Variant: same problem but sorted input / duplicates allowed — how does your invariant change?
- Constraint twist: interviewer tightens memory or time — restate the trade-off you would negotiate at Apple.
HardMedium2026
Source: Reported by candidates
Tags
TreesGraphsDP
Confidence68%
Interview debriefs from 2025–26 mention: Implement trie prefix search with wildcard '.' and batch delete for Apple config keys.
Based on latest interview data (updated August 2025)
Was this accurate?
Variants & follow-ups
- Speed probe: can you remove one log factor — where is the bottleneck in your first approach?
- Variant: same problem but sorted input / duplicates allowed — how does your invariant change?
- Constraint twist: interviewer tightens memory or time — restate the trade-off you would negotiate at Apple.
MediumHigh2026
Source: Reported by candidates
Tags
TreesGraphs
Confidence84%
In a recent 2025 campus drive for Apple, Kth largest in a stream — heap vs quickselect; which would Apple infra prefer under memory caps?
Based on latest interview data (updated August 2025)
Was this accurate?
Variants & follow-ups
- Constraint twist: interviewer tightens memory or time — restate the trade-off you would negotiate at Apple.
- Edge extension: spell out behavior for empty input, duplicates, and overflow before you code.
MediumMedium2026
Source: Common OA pattern
Tags
Binary searchStringsTrees
Confidence70%
In a recent interview, Course schedule II — detect cycle and print one valid order; tie to Apple dependency graphs.
Based on latest interview data (updated August 2025)
Was this accurate?
Variants & follow-ups
- Variant: same problem but sorted input / duplicates allowed — how does your invariant change?
- Constraint twist: interviewer tightens memory or time — restate the trade-off you would negotiate at Apple.
- Edge extension: spell out behavior for empty input, duplicates, and overflow before you code.
MediumHigh2026
Source: Common OA pattern
Tags
GreedyHeap
Confidence82%
A common OA question at Apple is to Word ladder II — BFS layer + backtrack; how would you cap output size in a Apple OA?
Based on latest interview data (updated August 2025)
Was this accurate?
Variants & follow-ups
- Speed probe: can you remove one log factor — where is the bottleneck in your first approach?
- Variant: same problem but sorted input / duplicates allowed — how does your invariant change?
EasyMedium2025
Source: Reported by candidates
Tags
GraphsDPGreedy
Confidence64%
One candidate reported that interviewers asked to Paint fence with k colors and no three adjacent same — derive recurrence and edge cases for Apple.
Based on latest interview data (updated August 2025)
Was this accurate?
Variants & follow-ups
- Follow-up: they ask for a streaming / online version — what state do you keep and why?
- Speed probe: can you remove one log factor — where is the bottleneck in your first approach?
- Variant: same problem but sorted input / duplicates allowed — how does your invariant change?
MediumLowOlder
Source: Reported by candidates
Tags
HeapBinary search
Confidence47%
One candidate reported that interviewers asked to Design bitset operations for range flip/query — bit tricks interviewers at Apple sometimes probe.
Based on latest interview data (updated August 2025)
Was this accurate?
Variants & follow-ups
- Speed probe: can you remove one log factor — where is the bottleneck in your first approach?
- Variant: same problem but sorted input / duplicates allowed — how does your invariant change?
EasyHigh2026
Source: Common OA pattern
Tags
DPGreedyHeap
Confidence93%
In a recent 2025 campus drive for Apple, Trap rain water II (3D) — high-level approach if full code is too long for Apple timebox.
Based on latest interview data (updated August 2025)
Was this accurate?
Variants & follow-ups
- Follow-up: they ask for a streaming / online version — what state do you keep and why?
- Speed probe: can you remove one log factor — where is the bottleneck in your first approach?
- Variant: same problem but sorted input / duplicates allowed — how does your invariant change?
HardLowOlder
Source: Reported by candidates
Tags
TreesGraphsDP
Confidence40%
Campus hire notes highlight: Solve minimum cost to connect all points (MST variant) and justify Kruskal vs Prim for sparse graphs at Apple.
Based on latest interview data (updated August 2025)
Was this accurate?
Variants & follow-ups
- Edge extension: spell out behavior for empty input, duplicates, and overflow before you code.
- Follow-up: they ask for a streaming / online version — what state do you keep and why?
- Speed probe: can you remove one log factor — where is the bottleneck in your first approach?
EasyMedium2025
Source: Common OA pattern
Tags
DPGreedy
Confidence78%
A panel at Apple reused this prompt: Given a DAG of Apple microservice deploy order, return all topological sorts up to a cap — discuss explosion risk.
Based on latest interview data (updated August 2025)
Was this accurate?
Variants & follow-ups
- Follow-up: they ask for a streaming / online version — what state do you keep and why?
- Speed probe: can you remove one log factor — where is the bottleneck in your first approach?
EasyMedium2025
Source: Common OA pattern
Tags
HeapBinary searchStrings
Confidence76%
In a recent interview, Design an O(n) routine that finds the longest palindromic substring in a stream chunk arriving at Apple ingestion.
Based on latest interview data (updated August 2025)
Was this accurate?
Variants & follow-ups
- Speed probe: can you remove one log factor — where is the bottleneck in your first approach?
- Variant: same problem but sorted input / duplicates allowed — how does your invariant change?
- Constraint twist: interviewer tightens memory or time — restate the trade-off you would negotiate at Apple.

Apple OA questions

Online assessment / aptitude-style prompts commonly bucketed as OA.

HardMedium2025
Source: Reported by candidates
Tags
PatternAptitude
Confidence69%
A typical live round for Apple started with: Blood relation puzzle with three generations — diagram speed matters on Apple logical sets.
Based on latest interview data (updated August 2025)
Was this accurate?
MediumHigh2026
Source: Derived from recent drives
Tags
DIPatternAptitude
Confidence90%
Hiring managers at Apple frequently open with: Relative speed boats upstream/downstream with different current — template seen before Apple interviews.
Based on latest interview data (updated August 2025)
Was this accurate?
MediumMedium2026
Source: Common OA pattern
Tags
SpeedDI
Confidence76%
A panel at Apple reused this prompt: Cistern with leak + alternate pipes — classic OA staple still logged for Apple 2026.
Based on latest interview data (updated August 2025)
Was this accurate?

Core / domain questions

HardMedium2025
Source: Reported by candidates
Tags
APIDataReliability
Confidence63%
Campus hire notes highlight: Describe idempotency keys for payment retries — concrete header strategy at Apple.
Based on latest interview data (updated August 2025)
Was this accurate?
EasyMedium2026
Source: Common OA pattern
Tags
DataReliability
Confidence73%
A panel at Apple reused this prompt: How would you shard user events by tenant without hot keys — sketch approach for Apple scale.
Based on latest interview data (updated August 2025)
Was this accurate?
MediumHigh2026
Source: Derived from recent drives
Tags
ReliabilityScale-outSystems
Confidence85%
Hiring managers at Apple frequently open with: Compare TCP vs QUIC for a video upload API — latency angles Apple interviewers like to probe.
Based on latest interview data (updated August 2025)
Was this accurate?

HR / behavioral questions

EasyHigh2026
Source: Common OA pattern
Tags
STARBehavioral
Confidence83%
Candidates were asked to How do you prioritize tech debt vs features — framework answer for Apple PM-partnered loops.
Based on latest interview data (updated August 2025)
Was this accurate?

Previous interview questions (real-style)

Short warm-up prompts — answer aloud in 60–90 seconds, then compare with your notes or an AI mock for feedback.

Coding: "Given an array, find the longest subarray with at most K distinct integers."
MCQ / CS: "Compare time complexity of merge sort vs quick sort in typical implementations."
HR / behavioral: "Tell me about a time you missed a deadline and how you recovered."
Product sense (if applicable): "How would you prioritize two features with conflicting stakeholder pressure?"
Debugging: "Walk through how you would find a memory leak in a service you own."

Common HR questions

Why do you want to join Apple?
Describe a conflict where you changed direction after feedback.
Tell me about a project where you owned outcomes end-to-end.

Interview process

1
1. Resume + online application
Shortlisting by CGPA, tests, or resume keywords depending on Apple and your campus policy.
2
2. Online assessment
Coding and sometimes MCQs; focus on speed, correctness, and hidden edge cases.
3
3. Technical interviews
One or more DSA rounds; be ready to code live and verbalize trade-offs.
4
4. Behavioral / hiring manager
STAR stories, ownership, ambiguity, and collaboration under deadlines.
5
5. Offer & team matching
Compensation discussion and start date; confirm documents with your TPO.

Online test pattern

Most Apple campus pipelines open with a timed online assessment combining coding problems and multiple-choice CS fundamentals.

Sections: Coding (1–2 problems), Data structures & algorithms MCQs, Sometimes: probability, DB, or OS basics
Typical volume: Roughly 2–4 coding tasks plus 10–30 MCQs when MCQs are included (varies by year).
Duration: 60–120 minutes total is common; confirm in your invite.

Interview pattern summary

Expect 3 to 5 rounds: online coding assessment, DSA-heavy interviews, product or behavioral depth, and communication quality under pressure.

Difficulty level

Hard

Bar is high for speed, correctness, and follow-up depth. Candidates who only memorize templates tend to struggle on Apple-style extensions.

Comparable to other top product companies (Amazon, Microsoft, Meta) on coding rigor; aptitude weight is usually lower than in services-campus drives.

Aptitude and screening

Aptitude is usually moderate, but problem-solving speed and coding correctness standards are high.

Apple OA questions 2026

Apple online assessments in 2026 still lean on timed platforms; expect the mix below rather than generic public PDFs alone.

Two medium-hard coding tasks with hidden tests; partial credit if platform supports.
MCQ block on DS complexity, trees, and sometimes SQL or OS trivia.
90–120 minute window; tab switching may be logged on official platforms.

Is Apple interview hard?

Yes — Apple is selective on campus: the OA filters hard, and technical panels add follow-ups until you hit uncertainty.

OA knockouts are common even for strong coders who skip edge-case drills.
Interview difficulty spikes in follow-ups — one more constraint changes complexity class.
Behavioral round still fails candidates with vague ownership stories.

Apple interview experience for freshers

Freshers should expect Apple to test consistency across OA, technical depth appropriate to the role family, and HR clarity on relocation and learning agility.

Bring 3 STAR stories with metrics from internships or academic projects.
Practice medium LeetCode until you can code and explain in under 25 minutes cold.
Mock behavioral with a friend who interrupts you — simulates real stress.

Apple vs similar companies

Benchmark difficulty and focus — use the row for Apple as your anchor, then cross-train with peers in the same cluster.

Company	Difficulty	Focus
AppleYou	Hard	Primary target — use insights + mock drills on this page
Google	Very high	DSA depth, scale thinking, behavioral signal
Microsoft	High	Practical coding, collaboration scenarios
Amazon	Very high	LP-style behavioral + bar-raiser coding
Meta	Very high	Speed, product intuition, strong coding

Topics to prepare

DSA / logical coding

Arrays & hashing
Binary search
Trees & BST
Graphs (BFS/DFS)
Heaps
Dynamic programming (foundations)
Strings & two pointers

Core subjects

Operating systems basics
DBMS & SQL
Networks (HTTP, DNS at a high level)
OOP concepts

Behavioral

STAR stories with metrics
Conflict resolution
Prioritization
Learning from failure
Teamwork under deadlines

Technical depth (if applicable)

Data structures and algorithms
Time-space optimization
System design fundamentals
Behavioral leadership stories

Preparation strategy (timeline)

Run DSA drills daily, practice one system design-lite prompt every two days, and sharpen behavioral narratives with metrics.

1.Week 1–2: Diagnose weak topics with timed quizzes; fix fundamentals.
2.Week 3–4: Daily medium DSA; one full mock coding assessment per weekend.
3.Week 5–6: Mock interviews with verbal narration; record answers and cut filler words.
4.Week 7+: Mixed panels (tech + behavioral) every 3–4 days; debrief with a simple error log.
5.Mid-cycle: One weekly retrospective — only redo patterns where you missed twice.
6.Final week: Two light mocks plus sleep hygiene; avoid brand-new hard topics.
7.Final 48h: Review your story bank and one page of complexity notes — confidence over volume.

Test your readiness

Can you solve questions asked in Apple interviews under real clock pressure?

Sample MCQ

In quicksort, choosing a bad pivot each split can degrade time complexity to:

O(n)
O(n log n)
O(n²)
O(log n)

Hint: Worst-case partitioning unbalances recursion depth.

Coding-style prompt

Design an approach to merge k sorted arrays of similar size — what trade-off would you highlight for Apple?

Hint: Heap of size k vs divide-and-conquer; discuss memory and constant factors.

Start full mock test →

Turn reading into performance

Take a full mock interview, get AI feedback on structure and clarity, and revisit weak areas — built for placement season when repetition beats passive reading.

Timed prompts similar to real campus panels
Actionable feedback on pacing and specificity
Progress-style practice you can repeat before each round

Start free mock test Full mock interview

Thousands of candidates use InterviewForge for campus and early-career prep — combine this page with weekly mocks for best results.

Campus preparation tools

Jump directly into practice — every link opens a focused flow.

Similar companies you should prepare for

Topic cluster: Product / big-tech style. Same prep physics (weights on aptitude, DSA, or cases) — train in parallel.

Google interview prep Amazon interview prep Microsoft interview prep Meta interview prep Netflix interview prep Salesforce interview prep Adobe interview prep Uber interview prep Airbnb interview prep Rheinmetall interview prep Amazon Fresh interview prep

More companies

Browse the full index by letter.

#A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

AbbVie interview prep Academy Sports interview prep Accenture interview prep Adient interview prep Adobe interview prep AECOM interview prep Affirm interview prep Aflac interview prep

Key insights for Apple

What our data shows for Apple

Recent interview experience (2025–2026)

Round 1: Online assessment

Round 2: Technical interview

Round 3: HR / behavioral

🔥Most asked Apple interview questions

Apple Interview Questions 2026

Apple coding questions

Apple OA questions

Core / domain questions

HR / behavioral questions

Previous interview questions (real-style)

Common HR questions

People also ask

Interview process

Online test pattern

Interview pattern summary

Difficulty level

Aptitude and screening

Apple OA questions 2026

Is Apple interview hard?

Apple interview experience for freshers

Apple vs similar companies

Topics to prepare

DSA / logical coding

Core subjects

Behavioral

Technical depth (if applicable)

Preparation strategy (timeline)

Test your readiness

Turn reading into performance

Campus preparation tools

Similar companies you should prepare for

More companies

Most asked Apple interview questions