Amazon SDE 1 Preparation

Compare direct overseas hiring with a future Amazon internal-transfer route, correctly noting that employment at TCS does not provide Amazon transfer eligibility.

Verify the level, location, work-authorization, and sponsorship requirements of US, UK, and German openings using current job postings and authoritative sources.

Map the typical Amazon SDE I hiring stages to the coding, technical, design, and behavioral evidence expected at each stage.

Score current readiness using a timed coding baseline and evidence checklists for CS fundamentals, design, projects, and behavioral stories.

Define measurable readiness thresholds for coding consistency, mock-interview performance, project completion, and application quality.

Construct a twelve-month plan that moves from balanced revision and project development to interview-first practice and applications.

Allocate the available 17–18 weekly study hours among lessons, coding practice, project work, revision, and mock interviews.

Maintain a preparation dashboard and use monthly retrospectives to adjust priorities based on evidence rather than problem counts alone.

Translate an unfamiliar coding prompt into explicit inputs, outputs, constraints, and edge cases.

Construct a brute-force solution and identify its dominant performance bottleneck.

Select an appropriate Java data structure or collection based on access, ordering, duplication, mutation, and complexity requirements.

State a loop or structural invariant that explains why an optimized algorithm is correct.

Calculate the time and auxiliary-space complexity of a Java solution.

Prevent common Java interview defects involving integer overflow, equality, comparators, nulls, and mutable state.

Create boundary, adversarial, and representative test cases before submitting a solution.

Solve a new medium-level problem within 35–40 minutes while explaining decisions, then classify any mistakes in a practice log.

Solve an array or string problem using a two-pointer invariant.

Maintain window state with pointer expansion and contraction invariants to solve a sliding-window problem.

Use prefix information and a hash map to evaluate subarray conditions efficiently.

Manipulate a linked list using dummy nodes, pointer reversal, or fast-and-slow pointers.

Merge, insert, or compare intervals after selecting a correct sorting rule.

Apply binary search to a monotonic answer space.

Use a monotonic stack to find next-greater, next-smaller, or span relationships.

Use a heap to solve a top-k, merge, or streaming-selection problem.

Implement and compare recursive and iterative depth-first traversals of a binary tree in Java.

Use recursive return state to solve a binary-tree path, height, or ancestor problem.

Use breadth-first search to compute tree levels or minimum unweighted distance.

Translate a graph problem statement into a suitable adjacency-list representation.

Detect connected components or cycles using DFS, BFS, or union-find and justify the selected approach.

Produce a valid topological ordering and detect when none exists.

Apply Dijkstra's algorithm to a graph with non-negative edge weights.

Prune a backtracking search using feasibility checks and duplicate handling.

Define the state, transition, base cases, and evaluation order for a dynamic-programming problem.

Convert an exponential recursive solution into a memoized solution.

Convert a memoized recurrence into bottom-up tabulation.

Reduce the space usage of a tabulated recurrence when only prior states are required.

Solve a one-dimensional sequence problem such as word break, maximum-product subarray, or longest increasing subsequence.

Solve a grid dynamic-programming problem involving obstacles or weighted paths.

Formulate a knapsack or subset-sum variant as dynamic programming.

Distinguish a valid greedy choice from a dynamic-programming requirement using an exchange argument or counterexample.

Differentiate processes and threads, and explain how scheduling and context switching affect performance.

Trace a virtual address through paging and relate virtual memory to Java stack, heap, object lifetime, and garbage collection.

Demonstrate a race condition and select synchronization, locks, atomic variables, or concurrent collections to protect shared Java state.

Identify the necessary conditions for deadlock and apply a prevention technique such as consistent lock ordering.

Trace a web request through DNS resolution and the responsibilities of the application, transport, network, and link layers.

Choose between TCP and UDP and explain how TCP establishes a connection and recovers from lost data.

Evaluate an HTTP exchange by checking its method, status code, headers, and TLS protections.

Apply timeouts, retries, exponential backoff, and idempotency to a failing service call.

Review and correct a relational schema using suitable keys, constraints, and normalization.

Write a multi-table SQL query using joins and subqueries.

Write aggregate SQL queries using grouping and post-aggregation filtering.

Use a SQL window function for ranking or running calculations.

Predict whether an index can accelerate a query and verify the prediction with an execution plan.

Explain an isolation anomaly and select a transaction isolation level that prevents it.

Choose between relational and non-relational storage for a stated access pattern.

Implement keyset pagination and explain its advantage over large-offset pagination.

Extract entities, responsibilities, constraints, and use cases from a low-level design prompt.

Model object relationships using composition where ownership and lifecycle require it.

Define interfaces that separate business policy from implementation details.

Refactor a small design to correct a specific SOLID-principle violation.

Apply the Strategy pattern to make a business rule replaceable.

Apply a Factory to centralize object-creation decisions.

Identify shared mutable state that makes an object design unsafe under concurrency.

Implement and unit-test one core workflow from a small object-oriented design prompt.

Define functional requirements, quality requirements, and scope for a system-design prompt.

Estimate request rate, storage, and bandwidth from stated scale assumptions.

Specify a service API and data model that support the required access patterns.

Explain how load balancing and horizontal scaling distribute traffic.

Select a caching location, eviction approach, and cache-invalidation strategy.

Compare replication and partitioning as responses to scale and availability requirements.

Use a message queue to separate an asynchronous workflow from a synchronous request.

Produce a time-boxed high-level design and justify its principal availability, consistency, latency, and cost trade-offs.

Define a bounded Java backend project with a clear user, problem, feature set, and completion criteria.

Scaffold a Spring Boot service using a maintainable layered package structure.

Implement a REST endpoint with request validation and consistent error handling.

Persist and retrieve domain data using JPA and a relational database.

Write isolated service-layer tests using JUnit and test doubles.

Write an integration test that verifies an endpoint and its persistence behavior.

Containerize the service and configure continuous integration to run tests and build the application.

Publish a recruiter-friendly repository that documents setup, API usage, architecture decisions, tests, and engineering trade-offs.

Interpret a behavioral question and identify the Leadership Principle evidence it is seeking.

Create a factual story inventory from TCS training, college projects, teamwork, setbacks, and independent learning.

Structure one experience as a concise STAR response with a quantified or otherwise verifiable result.

Adapt a story to a different behavioral question without changing its underlying facts.

Answer a failure or conflict question with specific ownership and learning.

Answer an ambiguity or initiative question by explaining decisions and trade-offs.

Respond consistently to follow-up questions about personal contribution, evidence, alternatives, and lessons learned.

Score a recorded behavioral response for relevance, specificity, clarity, and Leadership Principle evidence.

Create a one-page master resume that presents TCS experience, computer-vision work, the Java portfolio service, and measurable technical evidence without exaggeration.

Build a role tracker that prioritizes suitable openings by level, location, sponsorship evidence, recency, and skill match.

Tailor resume bullets, skills, and project ordering to a specific SDE I posting while preserving factual accuracy.

Write a concise referral or recruiter outreach message grounded in specific role fit rather than a generic request.

Complete a 45-minute coding mock interview and score problem solving, communication, correctness, testing, and pace.

Complete a time-boxed technical mock covering selected OS, networking, database, Java, and design trade-offs.

Complete a behavioral mock interview with realistic Leadership Principle follow-up questions.

Apply explicit readiness gates to launch an application batch, analyze outcomes, and assign targeted preparation before the next batch.