MLS-C01AWS Certified Machine Learning - Specialty practice exams
Original questions written from the published objectives and cited to official documentation, never recalled exam content. How we verify, why not dumps.
- Exam code
- MLS-C01
- Cost
- $300 USD
- Questions
- 65 (50 scored, 15 unscored)
- Duration
- 180 minutes
- Passing score
- 750 (scale 100-1000)
- Format
- Multiple choice and multiple response
Fail and the retake is another $300. Practicing until you are ready is the cheapest part of this. Full cost breakdown.
What the exam tests
Exam domains and official weightings
From the official AWS exam guides. Put your study time where the weight is.
- Data Engineering20%
- Exploratory Data Analysis24%
- Modeling36%
- Machine Learning Implementation and Operations20%
Coverage by domain
0 verified- Data Engineering0 / 20% of exam
- Exploratory Data Analysis0 / 24% of exam
- Modeling0 / 36% of exam
- Machine Learning Implementation and Operations0 / 20% of exam
Open now. Nothing is published for Machine Learning Specialty yet. The bank is being written from the official objectives.
Opens next. The first practice exam opens at 65 verified questions, spread across all 4 domains.
Every question here is verified against vendor documentation before it serves, which is why the count grows slowly.
What the exam actually asks you to do
Multiple choice and multiple response only. No simulations, no labs, and nothing to configure.
- Multiple choice
- Multiple response
Nothing here needs a lab. Reading carefully and eliminating options is the whole skill. AWS, Machine Learning Specialty exam guide ↗
Machine Learning Specialty practice exams
No complete practice exam yet. A form is 65 questions apportioned to the official weightings, and a partial one would report a score that means nothing, so none is assembled until the questions are there.
- Open now
- Nothing is published for Machine Learning Specialty yet. The bank is being written from the official objectives.
- Opens next
- The first practice exam opens at 65 verified questions, spread across all 4 domains.
Where Machine Learning Specialty fits
An honest study plan
1. Read the official objectives first
Download the official objectives from Amazon Web Services (AWS) and skim every line. The exam can only test what’s listed there, it’s the contract.
2. Weight your study toward Modeling and Exploratory Data Analysis
Together the top two domains are 60% of the exam. Practice them until your accuracy is consistently above 80%.
3. Drill weak domains, then sit a numbered practice exam
Use Domain Drill on your weakest areas, then sit a full-length form under exam conditions: 65 questions in 180 minutes, scored against the published pass mark. Book the real exam when you are consistently clearing that, not before.
Official free resources
Study from the source. These are Amazon Web Services (AWS)’s own materials:
Official Machine Learning Specialty exam page & objectives ↗Keep reading
Machine Learning Specialty passing score
The exact cut score, what kind of number it is, and the retake terms.
How hard is Machine Learning Specialty?
An honest difficulty read from the format, the clock and the weights.
Frequently asked questions
How mathematical is MLS-C01?
Conceptually mathematical, not computationally. You will not derive gradients, but you must know why precision beat recall for a described problem, what regularisation changes and which algorithm fits a data shape. Modeling alone is 36%.
MLS or the newer ML Engineer Associate?
MLA-C01 covers building and operating pipelines; MLS-C01 adds theory depth: algorithm internals, tuning strategy and evaluation design. Practitioners increasingly take MLA first and MLS when the role demands the theory.
How much of the exam is SageMaker?
A large share. Built-in algorithms, training configuration, endpoint options and debugging appear constantly, with the classic data services (Kinesis, Glue, S3) carrying the data engineering domain.
Ready to practice for MLS-C01?
Nothing is published for this exam yet. Join the waitlist and we will tell you when the first questions ship, and nothing else.
Machine Learning Specialty is not for sale yet. A certification goes on sale when it has a complete practice exam behind it, and this one does not, so there is nothing here worth charging for. Everything published is free to answer in the meantime.