LLM Inference Optimization Test
Tests LLM inference optimisation — how autoregressive decoding works, latency and throughput metrics, KV caching and memory, batching and serving engines, quantisation and model compression, speculative decoding and attention kernels, and cost-aware deployment. Pass to earn LLM Inference Optimization SOA-LIO.
- Advanced difficulty.Assumes years in the role or deep specialist knowledge.
- 25 scenario questions
- 25 minutes, timed
- 70% to pass · 90% for distinction
- Free no sign-up needed
- LinkedIn-ready · add it to your profile in one clickSee how ↓
What is the LLM Inference Optimization Test?
The LLM Inference Optimization Test is a free advanced-level, 25-minute skill test from Science of Apps. It tests LLM inference optimisation — how autoregressive decoding works, latency and throughput metrics, KV caching and memory, batching and serving engines, quantisation and model compression, speculative decoding and attention kernels, and cost-aware deployment. Score 70% or more on its 25 questions to earn a verifiable LLM Inference Optimization certificate (SOA-LIO). Every question is based on published standards and research — including vLLM documentation (vLLM project), Quantization overview (Hugging Face), Transformers documentation (Hugging Face) — and each answer is explained with its source.
Built for your job title
ML inference engineer, MLOps engineer, AI platform engineer, Performance engineer and AI engineer — and anyone who wants quick, verifiable proof of LLM Inference Optimization skills for a CV or LinkedIn.
- ML inference engineer
- MLOps engineer
- AI platform engineer
- Performance engineer
- AI engineer
What the test covers
Five skill areas with 5 questions each, drawn from a bank of 10 per area, so a retake brings questions you haven't seen.
- 01
Inference Fundamentals and Metrics
20%- Prefill and decode
- Latency metrics
- Throughput
- 02
KV Cache and Memory
20%- KV cache sizing
- PagedAttention
- Context length
- 03
Batching and Serving Engines
20%- Continuous batching
- Serving frameworks
- Parallelism
- 04
Quantisation and Compression
20%- Weight quantisation
- Distillation and pruning
- Quality trade-offs
- 05
Decoding Speedups and Cost
20%- Speculative decoding
- Attention kernels
- Cost optimisation
Based on published standards
The questions are original scenarios, and each one names the public standard, official guide or research it draws on — shown under the question while you answer, and linked in your review. These are the sources behind this test:
- vLLM documentationvLLM project12 questions
- Quantization overviewHugging Face7 questions
- Transformers documentationHugging Face5 questions
- Efficient Memory Management for Large Language Model Serving with PagedAttentionKwon et al. (arXiv)4 questions
- What is FinOps?FinOps Foundation4 questions
- Text Generation InferenceHugging Face3 questions
- FlashAttention: Fast and Memory-Efficient Exact Attention with IO-AwarenessDao et al. (arXiv)3 questions
- Site Reliability EngineeringGoogle2 questions
- NVIDIA TensorRT documentationNVIDIA2 questions
- Dive into Deep LearningZhang, Lipton, Li and Smola2 questions
- Fast Inference from Transformers via Speculative DecodingLeviathan et al., Google (arXiv)2 questions
- Attention Is All You NeedVaswani et al. (arXiv)1 question
- Kubernetes conceptskubernetes.io (CNCF)1 question
- Evals guideOpenAI1 question
- Prompt engineering overviewAnthropic1 question
Try a sample question
The KV cache speeds up autoregressive generation by
- storing past keys and values so each new token doesn't recompute them
- caching final answers for identical user prompts only
- keeping model weights on disk instead of in GPU memory
- skipping the attention layers for every new token
Show the answer
A. storing past keys and values so each new token doesn't recompute them — Without it, each step would reprocess the whole sequence. The real test has 25 questions like this.
How the test works
25 minutes, 25 questions
One question per screen, with a progress bar and a countdown. Your progress is saved on this device if you need to pause.
Graded on our server
Answers reach the page only after you submit, so the certificate can only be earned by passing.
Every answer explained
Pass or not, you see every question with the right answer, why, and the source behind it. Pass mark 70%, distinction 90%.
Your certificate
Founder-signed, with a QR code and credential ID. Download PDF or PNG, add to LinkedIn, and it's emailed to you.
What you earn

Pass, then add it to LinkedIn in one click
No typing. The Add to LinkedIn button opens your profile’s Licenses & certifications form already filled in: the certificate name, Science of Apps as the issuer, the issue date, your credential ID and a link recruiters can use to verify it.
- 1Take the 25-minute test
- 2Score 70% or more
- 3Click Add to LinkedIn

LLM Inference Optimization
Science of Apps
Show credential ↗Try another skill test
- SpecialistSOA-AIUX
AI UX Design Certification
Certifies that you can design AI-powered products people trust — setting expectations, conversational and agent UX, handling errors and uncertainty, and responsible AI.
Difficulty: AdvancedEarn Certified AI Product Designer → - SpecialistSOA-PE
Prompt Engineering Certification
Certifies that you can get reliable results from large language models — prompt fundamentals, structure and reasoning, prompting for real product work, and evaluation, safety and reliability.
Difficulty: IntermediateEarn Certified Prompt Engineer → - ProfessionalSOA-AIPM
AI Product Manager Certification
Certifies that you can manage AI products — finding the right AI opportunities, data, models and evaluation, AI UX, trust and safety, and shipping, cost and operations.
Difficulty: AdvancedEarn Certified AI Product Manager →
Frequently asked questions
What is the LLM Inference Optimization Test?
The LLM Inference Optimization Test is a free advanced-level, 25-minute skill test from Science of Apps. It tests LLM inference optimisation — how autoregressive decoding works, latency and throughput metrics, KV caching and memory, batching and serving engines, quantisation and model compression, speculative decoding and attention kernels, and cost-aware deployment. Score 70% or more on its 25 questions to earn a verifiable LLM Inference Optimization certificate (SOA-LIO). Every question is based on published standards and research — including vLLM documentation (vLLM project), Quantization overview (Hugging Face), Transformers documentation (Hugging Face) — and each answer is explained with its source.
How do I take the LLM Inference Optimization Test for free?
Read the five skill areas on this page, then take the 25-minute test online — no fee, course or sign-up. You see every answer explained when you finish. Score 70% or more and you get a LLM Inference Optimization certificate straight away, on screen, as a PDF and by email, with a credential ID anyone can verify.
Are the LLM Inference Optimization Test questions based on real standards?
Yes. The questions are original scenarios written by Science of Apps, and each one is based on a public source you can read: vLLM documentation (vLLM project); Quantization overview (Hugging Face); Transformers documentation (Hugging Face); Efficient Memory Management for Large Language Model Serving with PagedAttention (Kwon et al. (arXiv)); What is FinOps? (FinOps Foundation); Text Generation Inference (Hugging Face). The source is shown under each question and linked in the answer review. Science of Apps doesn't copy questions from other tests.
What does the LLM Inference Optimization Test cover?
Five skill areas with five questions each, drawn from a bank of 10 per area so a retake brings new questions: Inference Fundamentals and Metrics (Prefill and decode, Latency metrics and Throughput); KV Cache and Memory (KV cache sizing, PagedAttention and Context length); Batching and Serving Engines (Continuous batching, Serving frameworks and Parallelism); Quantisation and Compression (Weight quantisation, Distillation and pruning and Quality trade-offs); Decoding Speedups and Cost (Speculative decoding, Attention kernels and Cost optimisation). Every question is an original scenario based on a published standard, official documentation or research, named under the question.
Who should take the LLM Inference Optimization Test?
ML inference engineer, MLOps engineer, AI platform engineer, Performance engineer and AI engineer. It suits anyone who wants a quick, verifiable way to show LLM Inference Optimization skills, from students and career switchers to experienced professionals.
Can I use this for LLM inference certification or LLM inference test?
Yes. The LLM Inference Optimization Test is free and covers all of these: 25 scenario questions in 25 minutes, each answer explained with the source it comes from, so it works as interview and exam practice. It isn't a full course, so use the areas you miss as your study list. Scoring 70% or more earns a verifiable certificate.
Can I take the LLM Inference Optimization Test from any country?
Yes. The test is online, in English and free everywhere — people take it from India, the US, the UK, Europe, Africa, Latin America and Asia-Pacific. Your certificate is dated with your own local date and can be verified from anywhere at scienceofapps.com/certification/verify/.
How long is the LLM Inference Optimization Test?
25 questions — 5 from each of 5 skill areas — with a 25-minute limit. You need 70% (18 of 25) to pass and 90% for distinction.
How hard is the LLM Inference Optimization Test?
We rate it Advanced: assumes years in the role or deep specialist knowledge. It has 25 scenario questions — 5 from each of 5 skill areas — and a 25-minute limit. You need 70% (18 of 25) to pass and 90% for distinction.
How much do Science of Apps certifications cost?
Nothing. There is no fee to take a test, to receive the certificate, to have it emailed or to verify it, and no sign-up.
How are the tests graded?
On our server, not in your browser. The answers never reach the page until you submit, so a certificate can only be earned by passing. Each certificate gets a unique credential ID stored by Science of Apps.
What happens if I don't pass?
You see your score for each area and every question with the correct answer and why, with the published source behind it. You can retake after 30 minutes, and the retake draws questions you haven't seen yet.
Do the certificates expire?
No. Every certificate is dated, so it always shows when you passed. Retake a test any time for a newer date or a higher score.
Can I add the certificate to LinkedIn?
Yes. After you pass, Add to LinkedIn opens the Licenses & certifications form with the certificate name, Science of Apps as the issuer, the issue date, your credential ID and the verification link filled in. You can also download it as a PDF or PNG, and it's emailed to you as a PDF.
How can an employer verify my certificate?
Every certificate has a credential ID and a QR code. Scanning it, or entering the ID at scienceofapps.com/certification/verify/, shows the holder's name, the certification, the score and the issue date from our records.
Are these accredited qualifications?
No. They are Science of Apps' own assessments of applied skill. They aren't issued by a university or standards body, and they work best alongside a portfolio that shows the skills in real work.
741 more certifications to collect
AI & Generative AI
- AI UX Design Certification30 min · Advanced
- Prompt Engineering Certification30 min · Intermediate
- AI Product Manager Certification30 min · Advanced
- AI Literacy Certification10 min · Beginner
- Generative AI Fundamentals Certification10 min · Beginner
- AI Tools for Workplace Productivity Certification10 min · Beginner
- Advanced Prompt Engineering Assessment20 min · Advanced
- AI Workflow Automation Certification15 min · Intermediate
- AI Agent Design and Orchestration Certification20 min · Advanced
- AI Agent Evaluation and Reliability Certification20 min · Advanced
- AI Research and Fact-Checking Certification15 min · Intermediate
- AI Output Quality Assurance Certification15 min · Intermediate
- AI Hallucination Detection Test15 min · Intermediate
- AI Safety and Responsible AI Certification15 min · Intermediate
- AI Ethics and Bias Assessment15 min · Intermediate
- AI Governance and Risk Fundamentals Certification20 min · Advanced
- AI for Business Professionals Certification10 min · Beginner
- AI for Entrepreneurs and Founders Certification10 min · Beginner
- AI for Managers and Team Leaders Certification15 min · Intermediate
- AI for HR Professionals Certification10 min · Beginner
- AI for Sales Professionals Certification10 min · Beginner
- AI for Digital Marketers Certification10 min · Beginner
- AI for UX/UI Designers Certification15 min · Intermediate
- AI for Product Managers Certification15 min · Intermediate
- AI for Software Developers Certification15 min · Intermediate
- AI for Data Analysts Certification15 min · Intermediate
- AI for Teachers and Educators Certification10 min · Beginner
- AI for Customer Support Certification10 min · Beginner
- AI Content Creation and Editing Certification10 min · Beginner
- AI Image Generation and Art Direction Certification15 min · Intermediate
- AI Video Generation and Editing Certification15 min · Intermediate
- AI Coding Assistant Proficiency Certification15 min · Intermediate
- Retrieval-Augmented Generation (RAG) Fundamentals Certification20 min · Advanced
- LLM Evaluation and Benchmarking Certification20 min · Advanced
- AI Data Privacy and Security Certification15 min · Intermediate
- AI Adoption and Change Management Certification15 min · Intermediate
- Deep Learning Certification25 min · Advanced
- MLOps Certification25 min · Advanced
- LLM Application Development Certification25 min · Advanced
- LLM Fine-Tuning Certification25 min · Advanced
- Multimodal AI Certification20 min · Intermediate
- AI Data Annotation Test15 min · Beginner
- LLM Inference Optimization TestYou're here
- Vector Database & Semantic Search Certification20 min · Intermediate
- LLM Observability Certification20 min · Intermediate
- LLM Cost Optimization Test20 min · Intermediate
- AI Red Teaming Certification25 min · Advanced
- EU AI Act Compliance Certification20 min · Intermediate
Foundation
Software Engineering & Web Development
- HTML and CSS Fundamentals Certification10 min · Beginner
- JavaScript Fundamentals Certification10 min · Beginner
- TypeScript Fundamentals Certification15 min · Intermediate
Data Analytics & Business Intelligence
- Product Analytics Certification30 min · Advanced
- Data Literacy Certification10 min · Beginner
- Microsoft Excel Fundamentals Certification10 min · Beginner
Digital Marketing, SEO, AEO & Growth
- Conversion Rate Optimization (CRO) Certification30 min · Advanced
- App Store Optimization (ASO) Certification30 min · Intermediate
- Growth Marketing Certification30 min · Intermediate
UX/UI, Design, Research & Creative
- UX Design Certification30 min · Intermediate
- UI Design Certification30 min · Intermediate
- Product Design Certification30 min · Intermediate
Product, Project Management & Business Analysis
- Product Manager Certification30 min · Intermediate
- Design Leadership Certification30 min · Advanced
- Agile Product Owner Certification30 min · Intermediate
Cybersecurity, IT, Cloud & DevOps
- Cybersecurity Fundamentals Certification10 min · Beginner
- Security Awareness and Phishing Detection Certification10 min · Beginner
- Network Security Fundamentals Certification15 min · Intermediate
Sales, Customer Success & Support
- Sales Fundamentals Certification10 min · Beginner
- Consultative Selling Certification15 min · Intermediate
- B2B Sales Development Representative Certification10 min · Beginner
Human Resources & People Management
- Human Resources Fundamentals Certification10 min · Beginner
- Talent Acquisition and Recruitment Certification10 min · Beginner
- Technical Recruitment Certification15 min · Intermediate
Finance, Accounting, Operations & Entrepreneurship
- Financial Literacy for Professionals Certification10 min · Beginner
- Accounting Fundamentals Certification10 min · Beginner
- Bookkeeping Fundamentals Certification10 min · Beginner
Communication, Leadership & Transferable Skills
- Critical Thinking Test10 min · Beginner
- Attention to Detail Test10 min · Beginner
- Cognitive Bias Test10 min · Beginner
Languages
- English Level Test30 min · Beginner
- American Sign Language (ASL) Foundations Test25 min · Intermediate
- App & Software Localization Test25 min · Intermediate
Healthcare, Education, Legal Operations & Sustainability
- Healthcare Administration Fundamentals Certification10 min · Beginner
- Medical Office Administration Certification10 min · Beginner
- Healthcare Data Privacy Awareness Certification10 min · Beginner
Test Prep, Academics & Aptitude
- SAT Math Practice Test20 min · Advanced
- SAT Reading and Writing Practice Test20 min · Advanced
- ACT Practice Test (English, Math, Reading & Science)20 min · Advanced
Language Exam Prep
- IELTS Academic Practice Test with Band Score20 min · Advanced
- IELTS General Training Practice Test20 min · Advanced
- TOEFL iBT Practice Test20 min · Advanced
Office & Productivity Software
- Microsoft Word Skills Certification15 min · Intermediate
- Microsoft PowerPoint Skills Certification15 min · Intermediate
- Microsoft Outlook Skills Certification10 min · Beginner
Engineering, Architecture, Construction & Safety
- Mechanical Engineering Practice Test (FE-Style)20 min · Advanced
- Electrical Engineering Practice Test (FE-Style)20 min · Advanced
- Civil Engineering Practice Test (FE-Style)20 min · Advanced
Hospitality, Travel & Retail
- Hospitality Management Certification10 min · Beginner
- Food Safety Certification10 min · Beginner
- Hotel Revenue Management Certification15 min · Intermediate
Read before you test
- Career guidesAdvanced prompt engineering skills employers want in 2027: system prompts, structured outputs, context engineering, caching and evalsAdvanced prompt engineering skills for AI engineer roles in 2027: system prompts, structured output, context engineering, evals, cost and injection.
- How to make an appHow to make an app like ChatGPTBuild a ChatGPT-style app on a model API: streaming chat, conversation memory, your own data, guardrails, usage limits and costs — with a realistic build plan.
- Law of UX · Memory & attentionMental ModelA mental model is a person's internal picture of how a system works; interfaces feel intuitive when they match it and confusing when they don't.
- Tech explainedHow does Google Search work? Crawling, indexing, ranking and AI Overviews, explained simplyHow Google Search works in three stages, crawling, indexing and serving, and how PageRank, BERT and AI Overviews fit in. With diagrams and Google's own docs.
- Career guidesGenerative engine optimization skills employers want in 2027: getting brands mentioned and cited in ChatGPT, Gemini, Perplexity and AI OverviewsGEO skills employers want in 2027: how AI assistants choose sources, quotable facts, authority and mentions, crawler access and tracking AI citations.
- AI & vibe codingWhat is GEO? Generative engine optimization explained, with what the research foundWhat GEO (generative engine optimization) is, how it differs from SEO and AEO, what the research found, and a checklist to get cited.
Get the ideas, not the noise.
Sign up with Google and we’ll send you short UX psychology tips by email — why people tap, stall and leave, and what to do about it. Unsubscribe anytime. Prefer something to keep? Get the free Laws of UX guide as a PDF.
Founder, Science of Apps



