LLMOps Practice Test

The LLMOps Practice Test is a free intermediate-level, 20-minute skill test from Science of Apps. Exam-style practice for LLMOps — operating large language model applications in production. Covers the LLMOps lifecycle and how it differs from classic MLOps, prompting, context windows and retrieval-augmented generation, evaluation and observability (evals, hallucination, tracing, cost and latency), and deployment, scaling and governance (serving, inference optimisation, fine-tuning versus RAG, prompt-injection security and the NIST AI RMF). Grounded in current provider documentation, OWASP and NIST guidance for 2026. Score 70% or more on its 20 questions to earn a verifiable LLMOps Exam Preparation certificate (SOA-L4). Every question is based on published standards and research — including Claude documentation (Anthropic), Introducing Contextual Retrieval (Anthropic), Define success criteria and build evaluations (Anthropic) — and each answer is explained with its source.

Yes. Science of Apps has a free LLMOps Practice Test built on the current Science of Apps exam outline for 2026 and 2027. It covers LLMOps fundamentals, prompting, context and RAG, evaluation and observability and deployment, scaling and governance, scores you instantly and issues a verifiable certificate.

Read the four skill areas on this page, then take the 20-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 LLMOps Exam Preparation certificate straight away, on screen, as a PDF and by email, with a credential ID anyone can verify.

Yes. The questions are original scenarios written by Science of Apps, and each one is based on a public source you can read: Claude documentation (Anthropic); Introducing Contextual Retrieval (Anthropic); Define success criteria and build evaluations (Anthropic); Prompt engineering overview (Anthropic); OWASP Top 10 for LLM Applications (OWASP); Rate limits guide (OpenAI). The source is shown under each question and linked in the answer review. Science of Apps doesn't copy questions from other tests.

Four skill areas with five questions each, drawn from a bank of 10 per area so a retake brings new questions: LLMOps Fundamentals (Lifecycle, FoundationModels and vsMLOps); Prompting, Context and RAG (Prompts, RAG and Embeddings); Evaluation and Observability (Evals, Hallucination and Monitoring); Deployment, Scaling and Governance (Serving, Scaling and Governance). Every question is an original scenario written to the 2026–2027 standard, with the published source named under it.

Machine learning or MLOps engineer, AI/LLM application engineer, Platform or DevOps engineer, Data scientist shipping LLM features and Technical lead for GenAI products. It suits anyone who wants a quick, verifiable way to show LLMOps knowledge in 2026 and 2027, from students and career switchers to experienced professionals.

LLMOps is a specialisation of MLOps for applications built on large language models. Much of the behaviour comes from prompts, context and retrieval rather than from training your own model, so LLMOps puts extra weight on prompt and context management, retrieval pipelines, evaluation of open-ended text, token cost and latency, and risks like prompt injection and hallucination.

No. Retrieval-augmented generation (RAG) supplies fresh, source-grounded context at query time and is usually cheaper and easier to update, while fine-tuning adapts a model's style or format. Many production systems use RAG first and reserve fine-tuning for behaviour that prompting and retrieval cannot achieve.

No. It is an independent practice test written to the publicly available LLMOps content outline for 2026 and 2027, for checking your readiness before you book the real exam. Passing earns a Science of Apps certificate rather than the official credential.

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/.

20 questions — 5 from each of 4 skill areas — with a 20-minute limit. You need 70% (14 of 20) to pass and 90% for distinction.

We rate it Intermediate: assumes hands-on experience in the role. It has 20 scenario questions — 5 from each of 4 skill areas — and a 20-minute limit. You need 70% (14 of 20) to pass and 90% for distinction.

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.

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.

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.

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.

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.

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.

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.