Recovery Guide

Failed AWS Machine Learning Specialty? Here's Your Recovery Plan

Failing an exam doesn't define you. The AWS Machine Learning Specialty has a pass rate of ~50%, you're not alone. Here's exactly what to do next.

You're Not Alone

The AWS Machine Learning Specialty has a pass rate of ~50%, which means many qualified candidates don't pass on their first attempt. This is a hard-difficulty exam that challenges even experienced professionals.

Most people who fail and try again with a better strategy pass on their second attempt. The key is understanding what went wrong and fixing it.

Amazon Web Services Retake Policy

Wait Period

14 days

Retake Cost

Full exam fee

Max Attempts

Unlimited

Pro tip: You can take a practice exam for $20 to gauge readiness before retaking.

Common Reasons People Fail AWS Machine Learning Specialty
  • Still preparing for MLS-C01. The last day to sit it was 31 March 2026, and AWS withdrew the exam prep resources on the same date.
    Switch to MLA-C01. AWS names it as the offering for people who wanted the specialty certification, and it costs 150 USD against the specialty exam's 300 USD.
  • Assuming a MLS-C01 certification earned shortly before retirement is worth less. It is not, and AWS states no action is needed from holders.
    The credential stays active for three years from the date it was earned and the Credly badge stays shareable for that window. When it approaches expiry, MLA-C01 is the exam to sit instead, since MLS-C01 cannot be retaken.
  • Carrying MLS-C01 study habits into MLA-C01 without adjusting for question types. The specialty exam used only multiple choice and multiple response.
    Drill ordering and matching items specifically. Ordering requires three to five responses in the correct sequence, matching requires every pair correct against three to seven prompts, and neither awards partial credit.
  • Budgeting time as though MLA-C01 gives the same room as MLS-C01. Both have 65 questions, but the specialty exam allowed 180 minutes and the associate exam allows 130.
    That is 2 minutes per question instead of 2.8. Practise under a 130-minute clock, and note that ordering and matching items take longer to work than a four-option multiple choice, so elimination speed matters more than it did on the specialty exam.
  • Treating the 15 unscored questions as a reason to skip hard items. They are not identified on the exam, so you cannot know which ones they are.
    Answer everything. AWS scores unanswered questions as incorrect and applies no penalty for guessing, so a considered guess strictly beats a blank on both MLS-C01 and MLA-C01.
  • Studying algorithm mathematics in depth. Both exam guides list complex mathematical proofs and extensive algorithm development as out of scope.
    Learn which algorithm fits which problem shape, what input format it needs and which metric evaluates it. For MLA-C01, spend the recovered hours on Domain 3 and Domain 4, which together carry 46 percent.
  • Ignoring the appendix of out-of-scope services in the MLA-C01 guide. It names dozens of services, including AWS DeepRacer, Amazon Monitron, AWS Panorama, Amazon Cognito and AWS WAF.
    Read both lists once. Recognising that a service is out of scope lets you eliminate a distractor immediately in a question where two answers look equally plausible.
  • Waiting until the last minute to request testing accommodations. AWS arranges these with Pearson VUE before registration, not after.
    Request accommodations through the process on the AWS Certification policies page before you book. Note also that AWS offers an ESL accommodation adding 30 minutes when the exam is taken in English.
  • Rescheduling repeatedly. AWS states that its certification exams can be rescheduled only twice.
    Book a date you can keep. Cancellation or rescheduling is free up to 24 hours before the appointment; inside that window you lose the fee entirely, and a no-show forfeits it with no refund.
Your 5-Step Recovery Plan
1

Analyze Your Score Report

Review your AWS Machine Learning Specialty score report immediately. Identify which domains you scored lowest in, these are your priority areas. Write down specific topics you struggled with while the exam is fresh in your memory.

2

Take a Short Break (But Not Too Long)

Take 2-3 days off from studying to reset mentally. Failing is emotionally draining, and jumping back in immediately can lead to burnout. But don't wait too long, the material is still fresh.

3

Change Your Study Strategy

Whatever approach you used before didn't work. Switch it up: if you only read textbooks, add video courses. If you didn't do practice tests, make them your primary study method. Active recall beats passive review every time.

4

Focus on Weak Areas (80/20 Rule)

Spend 80% of your study time on the 2-3 domains where you scored lowest. You probably already know the topics you scored well on. For AWS Machine Learning Specialty, this targeted approach is far more effective than re-studying everything.

5

Take a Practice Test Before Rebooking

Don't rebook the exam until you're consistently scoring 85%+ on practice tests. This saves you money and builds real confidence. When you're scoring well, schedule the retake.

Study Tips for AWS Machine Learning Specialty
  • Strong ML fundamentals required
  • Master SageMaker end-to-end
  • Study data engineering and feature engineering
  • Understand model deployment and monitoring
  • Focus on AWS ML services integration
Frequently Asked Questions

How long do I have to wait to retake the AWS Machine Learning Specialty?

The retake waiting period for AWS Machine Learning Specialty is 14 days. You can take a practice exam for $20 to gauge readiness before retaking.

How much does it cost to retake the AWS Machine Learning Specialty?

The retake cost is Full exam fee. Maximum attempts: Unlimited.

What percentage of people fail the AWS Machine Learning Specialty?

The AWS Machine Learning Specialty has an average pass rate of ~50%, meaning roughly 50% of test-takers fail on their first attempt.

Is the AWS Machine Learning Specialty harder the second time?

No, the AWS Machine Learning Specialty difficulty is the same on retake. Many people pass on their second attempt because they know what to expect and can focus their study on weak areas.

Ready to pass AWS Machine Learning Specialty?

Get the complete exam guide with study plan, resources, and expert tips.

View AWS Machine Learning Specialty Guide