FAANG-Standard Interview Preparation Guide: Software Development Engineer in Test (SDET) - Entry Level
This guide is based on general FAANG interview practices and may not reflect specific company procedures.
Entry-level SDET interviews at FAANG companies follow a structured pipeline designed to assess both software development fundamentals and testing expertise. The process typically spans 5-6 rounds, starting with a recruiter screening to evaluate fit and background, followed by a technical phone screen to assess basic coding and testing knowledge. The on-site loop consists of multiple rounds evaluating algorithmic problem-solving, practical test automation and framework design skills, behavioral alignment with company culture, and a final hiring manager assessment. This combination ensures candidates can write clean, efficient code while designing scalable testing solutions and collaborating effectively with engineering teams.
Interview Rounds
Recruiter Screening
What to Expect
The initial phone or video screening with a technical recruiter lasting 20-30 minutes. This round focuses on assessing your background, understanding of the SDET role, career motivation, and overall fit with the company culture. The recruiter will verify your resume, discuss your experience with testing and development, and explain the interview process and role expectations. This is your opportunity to demonstrate enthusiasm for automation and testing, and to ask clarifying questions about the position. Success here determines whether you advance to the technical phone screen.
Tips & Advice
Be genuine and enthusiastic about the SDET role—explain why you're interested in combining development and testing. Have a clear, concise 2-3 minute summary of your relevant experience ready. Ask thoughtful questions about the role, team structure, and technologies used. Mention specific testing tools or frameworks you've worked with or studied. Be honest about gaps in your experience; entry-level roles expect continuous learning. Avoid speaking negatively about previous roles or companies.
Focus Topics
Technical Fundamentals Awareness
Show comfort discussing basic software development concepts (version control, debugging, code reviews) and testing concepts (unit testing, integration testing, test coverage). You don't need advanced expertise, but familiarity demonstrates readiness for technical interviews ahead.
Practice Interview
Study Questions
Motivation & Career Goals
Explain why you're interested in software testing and automation specifically. Discuss what attracts you to this company and how the SDET role aligns with your career objectives. Connect your motivation to the company's values if known (e.g., quality focus, innovation in testing, scale).
Practice Interview
Study Questions
Background & Professional Experience
Articulate your education, any internships, projects, or coursework related to software development and testing. Be prepared to discuss your familiarity with programming languages, testing frameworks, and automation tools. Even if you lack professional experience, highlight relevant academic projects, personal coding projects, or contributions to open-source testing tools.
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Study Questions
Understanding the SDET Role & Responsibilities
Demonstrate awareness that SDET is a hybrid role combining software engineering with testing expertise. Show understanding that SDETs develop automated testing frameworks, create test scripts, build testing infrastructure, and integrate testing into CI/CD pipelines. Discuss how this differs from manual QA and why you're drawn to this specialized role.
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Study Questions
Technical Phone Screen
What to Expect
A 45-60 minute virtual interview, typically conducted via CoderPad or similar platform, with a software engineer or technical interviewer. This round assesses your coding fundamentals, problem-solving approach, and basic knowledge of testing and quality assurance. You'll be given 1-2 coding problems of medium difficulty, usually focused on data structures, string manipulation, or basic algorithms. The interviewer may ask follow-up questions about your solution, ask for alternative approaches, or request code optimization. Additionally, expect 2-3 questions about testing concepts, automation frameworks, or how you'd approach automation scenarios. This round is designed to filter candidates before expensive on-site interviews.
Tips & Advice
Think aloud during problem-solving—explain your approach before coding. Start with a brute-force solution, then optimize. Ask clarifying questions about the problem before diving in. For coding problems, focus on correctness first, then efficiency. Write clean, readable code with meaningful variable names. For testing questions, connect your answers back to the job description (automated frameworks, CI/CD integration, tool development). Practice on platforms like LeetCode (medium difficulty problems) to build speed and confidence. If you get stuck, communicate that clearly and ask for hints rather than staying silent.
Focus Topics
Code Quality & Best Practices
Write code that is readable, maintainable, and follows best practices. Use meaningful variable and function names. Add comments for non-obvious logic. Handle edge cases and validate inputs. Avoid hardcoding values. Follow language conventions and style guidelines. This applies to both coding interviews and test automation development.
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Study Questions
Automation Frameworks & Tools
Gain foundational knowledge of popular automation frameworks and tools relevant to the role. For web automation: Selenium WebDriver, page object model, handling waits and synchronization. For API testing: REST concepts, tools like Postman or RestAssured. For test execution: JUnit, TestNG, pytest. Understand how test data, fixtures, and reporting are handled in automation frameworks. Know what CI/CD integration means for automated tests.
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Study Questions
Data Structures Fundamentals
Master core data structures including arrays, strings, hash tables, linked lists, stacks, and queues. Understand time and space complexity for common operations (insertion, deletion, search, access). Be able to choose appropriate data structures for different problem scenarios. Know when to use a hash table for O(1) lookup versus sorting for ordered traversal.
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Study Questions
Testing Knowledge & QA Fundamentals
Understand different types of testing: unit testing, integration testing, end-to-end testing, and regression testing. Know the difference between verification and validation. Understand test coverage, test cases, and test plans. Grasp the role of continuous integration and continuous testing. Familiarize yourself with the testing pyramid concept and why different test types matter at different levels.
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Study Questions
Coding Problem-Solving & Algorithms
Build proficiency in solving medium-difficulty algorithmic problems involving two pointers, sliding windows, basic recursion, and simple dynamic programming concepts. Practice explaining your thought process, identifying edge cases, and optimizing solutions. Focus on common patterns like array manipulation, string processing, and nested loop optimizations.
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Study Questions
On-Site Coding Interview
What to Expect
A 60-minute in-person or virtual coding interview, typically the first on-site round, with a software engineer. You'll solve 1-2 algorithmic problems of medium to medium-hard difficulty, similar in nature to phone screen problems but potentially requiring deeper optimization or more complex logic. Problems often involve data structures, recursion, or basic dynamic programming. The interviewer will assess your problem-solving approach, communication, code quality, ability to handle edge cases, and how you respond to feedback or hints. You may be asked to optimize a brute-force solution or discuss alternative approaches. This round filters candidates who struggle with core algorithmic thinking.
Tips & Advice
Treat this like a collaborative problem-solving session. Write pseudocode first, then refine it into clean code. Communicate every step—what you're thinking, why you chose a particular approach, and how you'd optimize. Before coding, discuss the approach with the interviewer and confirm you're on the right track. Pay close attention to the problem statement and ask clarifying questions. Test your code mentally with provided examples and edge cases. If you get stuck, think out loud and ask for hints. The interviewer values your thought process as much as the final solution. For entry-level roles, getting a working solution with acceptable complexity is the priority; perfect optimization matters less. Practice on LeetCode or HackerRank, focusing on medium-difficulty problems.
Focus Topics
Problem-Solving Approach & Communication
Develop a systematic approach to problem-solving: understand the problem, discuss approach with interviewer, start with a simple solution, optimize if needed, write clean code, and test thoroughly. Communicate clearly throughout, explaining your reasoning, edge cases you're considering, and why you chose your approach. Ask for clarification and feedback.
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Study Questions
Edge Cases & Error Handling
Identify and handle edge cases: empty inputs, single-element inputs, very large inputs, null values, invalid inputs. Think about boundary conditions and off-by-one errors. Write defensive code that validates inputs and handles exceptional cases gracefully. This prevents bugs in production and demonstrates mature coding practices.
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Study Questions
Complexity Analysis & Big O Notation
Master analyzing time and space complexity of solutions. Understand Big O notation (O(1), O(n), O(n²), O(n log n), O(2ⁿ), etc.). Be able to identify complexity of algorithms and data structure operations. Know common trade-offs between time and space complexity. Recognize when optimization is necessary and by how much.
Practice Interview
Study Questions
Algorithm Design & Optimization
Develop skills in designing algorithms that solve problems efficiently. Understand common optimization techniques: two pointers, sliding windows, binary search, hash maps for O(1) lookups, and basic recursion. Know how to analyze time and space complexity using Big O notation. Be able to identify when an O(n²) solution should be optimized to O(n log n) or O(n). Practice transforming brute-force approaches into more efficient solutions.
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Study Questions
Array & String Manipulation
Master techniques for working with arrays and strings: traversal, searching, sorting, manipulation (insertion, deletion), and pattern matching. Understand common problems like finding duplicates, reversing sequences, identifying substrings, and rearranging elements. Practice problems involving two-pointer technique, sorting, and space-efficient modifications.
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Study Questions
On-Site Test Automation & Framework Design Interview
What to Expect
A 60-minute on-site or virtual interview with a senior engineer or tech lead familiar with test automation. This round is specific to the SDET role and tests your practical automation knowledge and ability to design testing solutions. You may be given a scenario: 'Design an automated test framework for a web application' or 'How would you set up automation infrastructure for a mobile app?' or 'Create a test automation script for a specific feature.' The interviewer expects you to think about architecture, design patterns (like page object model), test data management, handling synchronization, reporting, and CI/CD integration. You'll discuss trade-offs, scalability considerations, and how you'd maintain the framework. This round directly assesses job readiness.
Tips & Advice
This is your chance to showcase SDET-specific expertise. Ask clarifying questions about the application, platforms (web, mobile, API), and scale. Discuss your approach before diving into implementation. Draw architecture diagrams or describe the structure clearly. Use terminology correctly: page object model, test fixtures, test data, locators, synchronization, assertions. For entry-level, you're not expected to design enterprise-scale frameworks, but you should demonstrate understanding of core principles. Discuss practical challenges like handling dynamic elements, managing test data, and dealing with test flakiness. Explain why you'd choose certain tools or patterns. If the interviewer asks follow-up questions, treat them as opportunities to explore your thinking further. Practice by setting up a small automation project using Selenium or an API testing tool.
Focus Topics
Testing Tools & Technology Stack Selection
Develop familiarity with popular automation tools and frameworks: Selenium WebDriver (web), Appium (mobile), RestAssured or Postman (API), JUnit/TestNG (Java) or pytest (Python), and CI/CD tools. Understand trade-offs when selecting tools: ease of use, community support, maintenance status, compatibility with your tech stack. Know when to use different tools for different scenarios (UI vs API testing).
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Study Questions
Test Data Management & Fixtures
Understand strategies for managing test data: hardcoding versus external data sources, using fixtures and factories, cleaning up test data, handling test data isolation. Know concepts like test data builders, setup and teardown methods, and database state management. Discuss challenges like maintaining test data consistency, avoiding test interdependencies, and keeping tests deterministic.
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Study Questions
Handling Asynchronous Behavior & Synchronization
Learn techniques for dealing with asynchronous operations and timing issues in automation. Understand explicit waits, implicit waits, and why hardcoding delays is problematic. Know how to wait for specific conditions (element visibility, AJAX calls completion). Handle race conditions and timing-dependent failures. Discuss strategies for dealing with dynamic content and animations.
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Study Questions
CI/CD Pipeline Integration & Continuous Testing
Understand how automated tests integrate with CI/CD pipelines. Know concepts like test triggers, parallel execution, test reporting, and failure notifications. Discuss how test results inform deployment decisions. Understand tools like Jenkins, GitLab CI, or GitHub Actions. Learn about test execution strategies: smoke tests pre-deployment, full regression post-deployment, and selective testing for specific code changes. Discuss scalability challenges when running automation at scale.
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Study Questions
Test Automation Script Development
Develop skills in writing automated test scripts for different application types (web, API, mobile, desktop). Understand how to interact with UI elements, submit forms, validate results, and handle various element localization strategies. Write clear, maintainable test scripts with descriptive names and logical structure. Handle synchronization issues (waiting for elements), manage test data, and implement assertions effectively. Practice using Selenium WebDriver, RestAssured, or pytest.
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Study Questions
Test Framework Architecture & Design
Understand how to structure an automated testing framework. Learn about the page object model (POM) pattern for web automation, separating test logic from locators and page interactions. Understand layer structure: page/object layer, test layer, and utilities layer. Know principles like DRY (Don't Repeat Yourself) and separation of concerns. Design frameworks that are maintainable, scalable, and easy for others to extend. Discuss trade-offs between flexibility and simplicity.
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Study Questions
On-Site Behavioral & Collaboration Interview
What to Expect
A 45-minute on-site or virtual interview with a team member, tech lead, or HR representative. This round assesses how you collaborate with others, handle challenges, demonstrate learning agility, and align with company culture. You'll discuss past projects or experiences, how you've handled conflicts or failures, your approach to learning new technologies, and how you work with diverse teams. For entry-level SDET roles, expect questions about your teamwork (collaborating with QA and developers), how you'd approach ambiguous problems, your initiative in learning testing and automation, and how you handle setbacks. The interviewer gauges whether you'll be a good cultural fit and can grow in the role.
Tips & Advice
Use the STAR method (Situation, Task, Action, Result) to structure behavioral answers. Prepare 4-5 specific stories from coursework, internships, or personal projects demonstrating key qualities. For entry-level roles, academic and personal projects are perfectly valid. Focus on stories showing: learning new technologies, collaborating with teammates, problem-solving under constraints, handling failure, and taking initiative. Be specific with details and quantifiable results. Connect answers back to qualities valued in SDET roles: attention to quality, collaboration, systematic thinking, and eagerness to learn. Show genuine interest in the team and company. Ask thoughtful questions. Be authentic—interviewers can tell when you're rehearsed. Listen carefully and answer the actual question asked, not a prepared response.
Focus Topics
Communication & Technical Discussion
Communicate technical ideas clearly to both technical and non-technical audiences. In past projects, discuss how you explained your automation approach or test results. Show you can listen, ask clarifying questions, and adapt your explanation based on your audience. This matters for documentation, code reviews, and cross-team discussions.
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Study Questions
Handling Challenges & Setbacks
Describe a time you faced a difficult problem, failed at something, or encountered an obstacle. Discuss what you learned, how you recovered, and what you'd do differently. Show resilience and growth mindset. Avoid blaming others; take ownership of outcomes. For entry-level candidates, even small setbacks like struggling with a coding problem or project failure can be valuable stories.
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Problem-Solving & Initiative
Show instances where you identified problems proactively, took initiative to solve them, and didn't wait for direction. Discuss how you analyzed issues, tried multiple approaches, and learned from failure. Demonstrate curiosity and systematic thinking. Even at entry level, taking initiative on small tasks or personal projects shows maturity.
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Study Questions
Learning & Growth Mindset
Discuss your approach to learning new technologies, frameworks, and methodologies. Share examples of teaching yourself new tools (Selenium, testing frameworks, CI/CD tools, programming languages). Demonstrate curiosity and willingness to tackle unfamiliar problems. Show how you seek feedback and iterate on your work. For entry-level, learning ability often matters more than current expertise.
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Study Questions
Teamwork & Collaboration
Demonstrate ability to work effectively with QA engineers, developers, and other team members. Show examples of clear communication, supporting teammates, receiving feedback gracefully, and contributing to shared goals. For entry-level, discuss academic group projects or internship experiences. Emphasize how you adapted your communication style, resolved disagreements, and prioritized team success.
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Study Questions
Hiring Manager / Bar Raiser Round
What to Expect
A final 30-45 minute interview with the hiring manager or a senior engineer serving as a bar raiser. This round is a combination of behavioral discussion and role-specific deep dive. The hiring manager will assess your long-term potential, specific fit for the team, and your understanding of the SDET role within the company. You'll discuss team structure, specific projects you'd work on, technologies the team uses, and how you see yourself growing in the role. The bar raiser may probe deeper on technical topics from previous rounds to ensure the hiring bar is met. This is also your final opportunity to ask questions and assess culture fit.
Tips & Advice
Prepare by researching the team's projects, technologies, and challenges. Craft 2-3 thoughtful questions about the team, growth opportunities, and technical challenges they face. Be prepared to discuss how your background aligns with the role. If technical questions arise, treat them as opportunities to reinforce your knowledge from earlier rounds. Be honest about what you don't know—entry-level candidates aren't expected to be experts. Show enthusiasm for the specific team and company, not just any job. This is a conversation, not an interrogation. Listen carefully to the hiring manager's descriptions and respond thoughtfully. If offered, this is the point where salary, start date, and logistics are typically discussed.
Focus Topics
Questions About the Team & Company
Prepare thoughtful questions about the team structure, current projects, technology stack, automation challenges, growth opportunities, and company culture. Questions demonstrate genuine interest and help you assess fit. Good questions: 'What are the biggest challenges your team faces with test automation?' 'How do new SDETs typically get onboarded?' 'What technologies is the team considering for future automation?'
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Study Questions
Long-Term Potential & Growth
Discuss your career aspirations in testing and automation. How do you see your skills evolving? What do you want to learn? Where do you see yourself in 2-3 years? Show that you're thinking long-term and willing to grow. For entry-level, honesty about wanting to deepen expertise in automation and potentially mentor others is appropriate.
Practice Interview
Study Questions
Role-Specific Knowledge & Team Fit
Demonstrate understanding of how the SDET role contributes to the specific company and team. Discuss the technologies the team uses, the applications they test, and challenges they face with automation and quality. Show how your skills align with the team's needs. For entry-level, showing you've researched the team demonstrates professionalism and genuine interest.
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Study Questions
Frequently Asked Software Development Engineer in Test (SDET) Interview Questions
Sample Answer
import random
import uuid
def generate_test_users(seed: int, count: int, domain: str = "example.test"):
"""
Generate `count` deterministic, unique test user records.
Returns list of dicts: { 'username', 'email', 'external_id' }
"""
if count < 1:
return []
rng = random.Random(seed) # deterministic PRNG
adjectives = ["quick", "blue", "silent", "bold", "calm"]
nouns = ["fox", "river", "hawk", "pine", "stone"]
# Make a stable namespace UUID derived from seed so uuids are reproducible
namespace = uuid.uuid5(uuid.NAMESPACE_DNS, f"test-users-seed-{seed}")
users = []
seen_usernames = set()
i = 0
while len(users) < count:
# choose parts deterministically from RNG
adj = adjectives[rng.randrange(len(adjectives))]
noun = nouns[rng.randrange(len(nouns))]
suffix = rng.randrange(1_000, 10_000) # adds variability
username = f"{adj}.{noun}{suffix}"
# ensure uniqueness within this run (deterministic because RNG)
if username in seen_usernames:
i += 1
continue
seen_usernames.add(username)
email = f"{username}@{domain}"
# stable UUID5 based on namespace + index ensures no collisions across calls with same seed
external_id = str(uuid.uuid5(namespace, f"{username}-{i}"))
users.append({"username": username, "email": email, "external_id": external_id})
i += 1
return usersSample Answer
Sample Answer
Sample Answer
Sample Answer
Sample Answer
Sample Answer
from math import sqrt
from typing import List, Dict, Tuple
def select_tests(tests: List[Dict], time_budget: float, epsilon: float = 0.05) -> List[Dict]:
"""
tests: list of dicts with keys:
- 'name', 'failure_rate' (0..1), 'avg_runtime' (seconds), 'flakiness' (0..1), 'historical_runs' (int)
Returns list of selected tests
"""
# set priors for cold-start (Bayesian shrinkage)
PRIOR_FAILURE = 0.02
PRIOR_RUNS = 5
scored: List[Tuple[float, Dict]] = []
for t in tests:
runs = t.get('historical_runs', 0)
# shrinkage for failure_rate
eff_fail = (t.get('failure_rate', 0)*runs + PRIOR_FAILURE*PRIOR_RUNS) / (runs + PRIOR_RUNS)
# uncertainty bonus for exploration (higher when few runs)
uncertainty = sqrt(1.0 / (runs + 1))
eff_fail += epsilon * uncertainty
# objective: expected failures per second
eps = eff_fail / max(1e-6, t['avg_runtime'])
# penalize flakiness (we prefer stable failures). Use exponent to control strength.
flakiness_penalty = 1.0 - min(1.0, t.get('flakiness', 0))**1.5
score = eps * flakiness_penalty
scored.append((score, t))
# sort descending score and greedy pack until budget
scored.sort(key=lambda x: x[0], reverse=True)
selected, used = [], 0.0
for score, t in scored:
if used + t['avg_runtime'] <= time_budget:
selected.append(t); used += t['avg_runtime']
return selectedSample Answer
# start DB container with unique name per agent
docker run -d --name ci_db_$CI_NODE_ID -e POSTGRES_PASSWORD=pass -p 5432:5432 postgres:15
# wait for readiness
./wait-for-db.sh postgres://...
# apply migrations (idempotent)
flyway -url=jdbc:postgresql://ci_db_$CI_NODE_ID:5432/db -user=... -password=... migrate
# seed minimal test data (idempotent INSERT ... ON CONFLICT)
psql -h ci_db_$CI_NODE_ID -U ... -d db -f seeds/idempotent_seeds.sqlflyway -url=... clean
docker rm -f ci_db_$CI_NODE_IDSample Answer
Sample Answer
# python3
import redis, subprocess, time, json
r = redis.Redis()
WORK_QUEUE = "tests:queue"
CLAIM_HASH = "tests:claimed" # maps test_id -> worker_id
RESULT_HASH = "tests:results" # stores JSON result including attempts
def claim_test(worker_id, lease=30):
tid = r.rpoplpush(WORK_QUEUE, f"working:{worker_id}")
if not tid: return None
# set claim with TTL to allow requeue on worker crash
if r.hsetnx(CLAIM_HASH, tid, worker_id):
r.expire(f"working:{worker_id}", lease)
return tid.decode()
# already claimed -> put back
r.lpush(WORK_QUEUE, tid)
return None
def run_with_timeout(cmd, timeout):
try:
p = subprocess.run(cmd, shell=True, capture_output=True, timeout=timeout, check=False)
return p.returncode == 0, p.stdout.decode(), p.stderr.decode()
except subprocess.TimeoutExpired:
return None, "", "timeout"
def report_result(test_id, outcome, worker_id, attempt):
key = f"test:{test_id}"
data = r.hget(RESULT_HASH, key)
state = json.loads(data) if data else {"attempts": []}
state["attempts"].append({"attempt": attempt, "outcome": outcome, "worker": worker_id, "ts": time.time()})
# detect flaky: alternating pass/fail in attempts
outcomes = [a["outcome"] for a in state["attempts"]]
state["flaky"] = any(outcomes[i] != outcomes[i+1] for i in range(len(outcomes)-1))
r.hset(RESULT_HASH, key, json.dumps(state))
# clear claim
r.hdel(CLAIM_HASH, test_id)
def worker_loop(worker_id, max_retries=3, timeout=60):
while True:
tid = claim_test(worker_id)
if not tid:
time.sleep(1); continue
# idempotency: skip if last attempt succeeded
existing = r.hget(RESULT_HASH, f"test:{tid}")
if existing:
last = json.loads(existing)["attempts"][-1]
if last["outcome"] == "pass":
r.hdel(CLAIM_HASH, tid); continue
attempts = len(json.loads(existing)["attempts"])
else:
attempts = 0
attempts += 1
outcome, out, err = run_with_timeout(f"run_test {tid}", timeout)
if outcome is None:
result = "timeout"
else:
result = "pass" if outcome else "fail"
report_result(tid, result, worker_id, attempts)
if result == "pass" or attempts >= max_retries:
# finished; remove from working lists
r.lrem(f"working:{worker_id}", 0, tid)
else:
# retry: re-enqueue (atomic move)
r.lpush(WORK_QUEUE, tid)
r.hdel(CLAIM_HASH, tid)Recommended Additional Resources
- LeetCode (www.leetcode.com) - Practice 40-50 medium-difficulty coding problems focusing on arrays, strings, hash tables, and basic algorithms
- HackerRank (www.hackerrank.com) - Alternative platform for coding practice with detailed tutorials
- Cracking the Coding Interview by Gayle Laakmann McDowell - Comprehensive guide to coding interview preparation with real questions
- System Design Primer GitHub repository - Learn fundamentals of system design and scalability (useful for understanding test infrastructure)
- Selenium WebDriver documentation and tutorials - Master web automation with Selenium, including page object model
- RESTAssured for API testing - Learn API test automation if the role involves API testing
- pytest and JUnit documentation - Understand test frameworks and assertions for your language of choice
- CI/CD concepts: Jenkins, GitLab CI, GitHub Actions documentation - Understand pipeline integration
- The Testing Pyramid concept (Mike Cohn) - Foundational knowledge about test types and automation strategy
- Exploratory testing and test design techniques - Understand different testing approaches and when to automate
- YouTube channels: Automation Testing Tutorial, TechyTalk Automation - Practical automation demonstrations
- GitHub - Explore open-source SDET projects and automation frameworks to understand real-world patterns
- FAANG company technical blogs - Read about testing and automation at scale from companies like Amazon, Google, Meta
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