AWS ML Specialty Free Questions: Where to Find Realistic Practice

The search for AWS Certified Machine Learning Specialty free questions usually spits out a mess of dead links, outdated PDFs, and collections of answers that nobody has fact‑checked since the Biden administration. When you are trying to work out whether you can handle 65 questions that span data engineering, exploratory data analysis, modelling, and ML operations on AWS, you need practice material that feels like the real MLS‑C01 — not a pool of guessed replies from a reskinned forum.

But there is a bigger problem that most search results will not tell you: the AWS Certified Machine Learning – Specialty (MLS‑C01) exam retired on 31 March 2026. You can no longer register for it. If you already passed, your credential stays valid for three years from the day you earned it. If you have not taken it yet, you now need to look at the replacement certifications — and they cover much of the same technical ground, so the MLS‑C01 question banks still hold some study value.

This article ranks six legitimate free question sources for MLS‑C01, sorts them by realism, explanation quality, and freshness, and gives each a trust score so you know which ones to spend your evenings on. For anyone who planned to sit the retired exam, the closing section points to the new AWS AI/ML certs and explains which one picks up where MLS‑C01 left off.

How we evaluate free MLS‑C01 practice material

A good practice question does three things: it mirrors the question style and difficulty of the real exam, it explains why each wrong answer is wrong, and it covers the same domain weightings that AWS publishes in the official exam guide. The AWS Certified Machine Learning specialty exam guide breaks the content into four domains:

Bar chart showing MLS-C01 exam domain weightings for evaluating free aws certified machine learning specialty practice questions, with Data Engineering at 20%, Exploratory Data Analysis at 24%, Modelling at 36%, and ML Implementation and Operations at 20%.
  • Data Engineering – 20 %
  • Exploratory Data Analysis – 24 %
  • Modelling – 36 %
  • Machine Learning Implementation and Operations – 20 %

Free question sets rarely touch all four domains with the same depth. Most skew heavily toward SageMaker‑feature trivia and neglect the data‑engineering pipeline or the security‑and‑operations side. That matters because the MLS‑C01 exam blueprint explicitly expects you to “design and implement scalable, cost‑optimised, reliable, and secure ML solutions” — phrases that read like the Operations domain but appear across the whole test.

We score each source on five criteria, each 0–5, then average to a trust score:

  • Realism – Do the questions read like the multi‑part, scenario‑driven items on the actual exam?
  • Explanation depth – Does every answer option get a justification, or just the correct one?
  • Freshness – Is the material clearly written for the MLS‑C01 version, or does it pre‑date 2020?
  • Domain coverage – Does it exercise all four domains, or only SageMaker‑heavy topics?
  • Freemium honesty – Is the free tier actually free, or a bait‑and‑switch behind a credit‑card wall?

Every entry below gets a trust score, a domain‑coverage note, and a short verdict so you can pick the resource that matches where you are in your prep.

1. AWS official sample questions (PDF and Skill Builder set)

Trust score: 5.0 / 5

AWS publishes two free first‑party question sets. The first is a ten‑question PDF that covers a spread of domains: a Pipe mode vs. file mode question, a tf‑idf n‑gram question, a Kinesis‑Data‑Firehose‑to‑S3‑and‑QuickSight question, and a few SageMaker‑training items. The second is the interactive AWS Certification Official Practice Question Set, available on the AWS Certified Machine Learning Specialty page under the “Get to know the exam with exam‑style questions” step. That set includes a web‑based exam simulation with explanations for every option and a score‑by‑domain breakdown.

What it covers well: Modelling and basic SageMaker mechanics. The PDF alone will not stretch your data‑engineering muscles much, but the official practice set covers all domains at a surface level.

What it misses: Volume. Together the two sets give you maybe 30 questions. That is enough for a first diagnostic, not a full readiness check.

Who should use it: Candidates who want the one question source that is guaranteed to be truthful about answer logic. The official sample is the gold standard for voice, complexity, and scenario length, and the domain‑score report in the interactive set helps you spot weak areas before you spend time on third‑party material.

2. Ditectrev’s MLS‑C01 GitHub repository

Trust score: 3.0 / 5

The Ditectrev/Amazon-Web-Services-Certified-AWS-Certified-Machine-Learning-MLS-C01-Practice-Tests-Exams-Question repo is a community‑curated list of 200‑plus questions with answers, organised by exam domain. It is a well‑known stop for AWS cert candidates who want a zero‑cost drill book.

What it covers well: Volume and breadth. The repo is one of the few free sources that touches data engineering, exploratory analysis, modelling, and operations in a single file. The JSON‑style format makes it easy to import into a custom question‑review tool.

What it misses: Verification. None of the answers carry an official AWS endorsement, and the issue tracker shows a regular trickle of corrections. You will find questions where the “correct” answer matches a 2022 console workflow that no longer exists. Use it to identify topic gaps, not to memorise answer keys.

Who should use it: Someone who already owns a paid practice‑test bank and wants extra volume for weak‑area drilling. The additional MLS‑C01 sample questions on PlanetCert, for instance, pair well with this repo because you can cross‑check concepts that appear in both.

3. ExamTopics MLS‑C01 page

Trust score: 2.5 / 5

The ExamTopics MLS‑C01 listing offers a free‑to‑browse question bank with an active discussion thread under each item. The site advertises “free and accurate practice Questions and Answers” and draws significant traffic from the “aws certified machine learning specialty free” search cluster.

What it covers well: Quantity and community moderation. The comment section under every question lets users debate answer choices, and the most‑upvoted reply often surfaces a referenced explanation that points to AWS documentation.

What it misses: Exam policy risk. AWS’s certification‑programme agreement prohibits the use of unofficial practice material that reproduces actual exam content, and several ExamTopics threads read as if they are directly reconstructing live exam items. Beyond the compliance concern, the base‑level answer set is not curated — the first correct‑answer toggle you see is whatever the original uploader typed, and it can be wrong for weeks until a commenter points it out.

Who should use it: Candidates who treat the comment threads as a study‑group replacement. Read the top‑voted explanation, not the bolded answer, and limit use to the Modelling domain where community corrections are most active.

4. Reddit r/AWSCertifications MLS‑C01 megathreads

Trust score: 2.0 / 5

A reddit search for “MLS‑C01” on r/AWSCertifications returns dozens of pass‑posts where candidates list the resources they used, the surprise topics on their exam form, and occasionally a few memory‑dumped questions. The most popular thread in the SERP snapshot, “Cleared AWS Machine Learning – Specialty exam,” is typical: someone shares their study stack and then answers questions in the comments about topic weight and AWS‑service emphasis.

What it covers well: Exam‑day signal. Reddit gives you a sense of which services show up more than the exam guide implies. In the MLS‑C01 era, posters consistently flagged heavy SageMaker‑feature‑comparison items, Kinesis‑Analytics pipelines, and AWS Glue DataBrew questions. That insight helps you prioritise review topics.

What it misses: Structure and completeness. You are not getting a question bank; you are getting anecdotes. The posts are ephemeral, rarely updated, and represent only one exam form, so two reads can leave you with conflicting advice.

Who should use it: Someone in the last week before an exam (or before the retirement, when that was still possible) who wants to stress‑test their weak areas against recent‑candidate reports. Pair what you learn with a structured set of MLS‑C01 sample questions to verify the concepts against real question logic.

5. A Cloud Guru / Pluralsight free‑trial question banks

Trust score: 3.0 / 5

A Cloud Guru (now part of Pluralsight) offered an MLS‑C01 learning path that included topic‑level quizzes and a full‑length practice exam. While the platform is paid, the 7‑day free trial gives you access to the entire course and the practice exam without a credit card for the first day or two, depending on the sign‑up flow. Other platforms like Cloud Academy and Tutorials Dojo had similar free‑trial options, but A Cloud Guru’s MLS‑C01 content was among the most frequently cited in the Reddit pass‑posts.

What it covers well: Realistic simulator feel. The practice exam is timed, uses the same multi‑choice / multi‑response format as the real thing, and provides a detailed explanation for every incorrect answer.

What it misses: The trial clock. Seven days is plenty to take one full practice test, but not enough to work through a full course. The question count is capped at the trial‑accessible pool, which is smaller than the full subscriber library.

Who should use it: Someone who wants a single high‑fidelity simulation to benchmark their readiness, and who is disciplined enough to cancel before the trial ends. The free‑trial practice exam is a closer cousin to the actual MLS‑C01 than any static PDF.

6. AWS Skill Builder free courses with knowledge checks

Trust score: 3.5 / 5

The Exam Readiness: AWS Certified Machine Learning – Specialty course on AWS Skill Builder is a three‑hour, no‑cost digital course that walks through each exam domain with slides, whiteboard summaries, and multiple knowledge‑check questions per module. The questions are not a full practice exam, but they are written by AWS instructors and mirror the official question style exactly.

What it covers well: Domain‑aligned learning. The knowledge checks are short — usually three to five questions per module — but they test the exact wording and decision logic that the exam guide expects. Because the course is built by AWS, the freshness is as good as it gets for the MLS‑C01 era.

What it misses: Depth. The questions are designed to check recall of the module content, not to replicate a 65‑question, scenario‑heavy gauntlet. You will finish all of them in under 20 minutes.

Who should use it: Anyone starting from scratch on a domain. If your Data Engineering score is weak, doing the Skill Builder module and its knowledge checks first gives you a foundation before you touch the tougher third‑party question banks.

What the MLS‑C01 retirement means for your certification path

If you opened this article because you typed “aws certified machine learning specialty free questions” before checking the exam status, you are not alone. AWS let the MLS‑C01 exam sunset on 31 March 2026, and the updated AWS certification page now carries the retirement banner. The content the exam tested — SageMaker, data pipelines, feature engineering, model tuning, MLOps — did not disappear; it just moved into three replacement certs.

Certification roadmap showing retired MLS-C01 badge leading to new AWS AI and machine learning certifications, helping candidates navigate aws certified machine learning specialty free study transition.
  • AWS Certified AI Practitioner (AIF‑C01): foundational, for people who need to speak the AI/ML language but do not build models day to day.
  • AWS Certified Machine Learning Engineer – Associate (MLA‑C02): the closest successor to MLS‑C01, updated to emphasise MLOps, feature stores, and the SageMaker‑SDK‑heavy workflows that real teams use today.
  • AWS Certified Generative AI Developer – Professional (AIP‑C01): for engineers building with foundation models, Amazon Bedrock, and retrieval‑augmented‑generation patterns.

The free question sets in this article still hold value if you are working through SageMaker concepts, but for exam‑day simulation you now need practice material aligned to the new exam codes. The MLS‑C01 exam overview on PlanetCert still links the legacy sample questions and gives a side‑by‑side view of domain weightings for folks who want to map their existing study notes onto the new certs.

Your free practice question questions, answered

Since MLS‑C01 is retired, are the free questions completely useless?

Not useless, just not match‑fit. The core ML concepts — algorithms, data preprocessing, model evaluation, SageMaker service knowledge — transfer directly to the MLA‑C02 and AIF‑C01 exams. The modelling questions in the Ditectrev repo, for example, cover hyperparameter tuning and ensemble methods that appear in the new associate exam. Use the old questions to learn the concepts, then switch to a current‑version practice test for final prep.

Which free source gets closest to the real exam’s difficulty?

The AWS official practice question set consistently matches the real MLS‑C01 question style, because it is built by the same exam team. The free‑trial practice exams from A Cloud Guru and Tutorials Dojo also achieve high fidelity on scenario complexity and distractor‑answer logic.

How many free questions do I need to be exam‑ready?

The official MLS‑C01 exam guide recommended 80–150 hours of study for a candidate with two years of hands‑on AWS ML experience. The free question sets in this list total about 400‑plus questions, which is enough for topical drilling but not a complete simulation. Most certified engineers paired three or four free sources with one paid, full‑length practice‑test suite to build exam stamina.

Is ExamTopics safe to use for AWS exams?

AWS’s programme agreement bars candidates from accessing “unauthorised exam preparation materials” that reproduce live exam content. ExamTopics does not publish an audit trail for its question provenance, and the community knows that some of the questions — especially in the IT‑exam dump ecosystem — trace back to actual exam items. You risk a certification‑agreement violation if you rely on it as a primary study tool.

Do the free sources work for the new MLA‑C02 exam?

Some of the SageMaker and data‑engineering material overlaps, but the new exam adds sections on feature stores, data wrangler, and model‑monitoring workflows that the MLS‑C01 sets rarely touch. Treat the old free questions as a supplementary layer, not a replacement for an MLA‑C02 practice test.

Where to find credible MLS‑C01 resources now

browse the relevant exam page and purchase a practice test

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