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MLS-C01 Exam Practice Questions

AWS Certified Machine Learning – Specialty

MLS-C01 English PDF practice questions: 369 questions in source order, with options supported by the source format, answers and available explanations. Access covers this exam only. One-time payment; no automatic renewal.

Exam overview

A retired specialty credential assessing data preparation, exploratory analysis, modeling and ML operations.

The provider lists retirement on March 31, 2026. Listed languages are historical.

Exam code
MLS-C01
Official exam / credential
AWS Certified Machine Learning – Specialty
Exam format
Single-answer and multiple-response questions
Exam duration
180 minutes
Official exam questions
65 questions
Historical exam languages
English, Japanese, Korean, Simplified Chinese

Official exam languages and practice-question file languages are listed separately. Confirm the exam version and available languages when booking with the provider.

Official sources: Provider reference
Information checked: 2026-10-20

Supported languages

  • English
  • Simplified Chinese
Try before you buy

First 20 practice questions

369 total questions

Questions follow the source order. Expand each answer to see its explanation.

Disclaimer: All questions on ExamPico are compiled from internet sources and are provided for study reference only.

Question 16

Question#16Topic1

During mini-batch training of a neural network for a classification problem, a Data Scientist notices that training accuracy oscillates.
What is the MOST likely cause of this issue?

  1. A. The class distribution in the dataset is imbalanced.
  2. B. Dataset shuffling is disabled.
  3. C. The batch size is too big.
  4. D. The learning rate is very high.
Show answer and explanation

Answer

D

Explanation

Reference:
https://towardsdatascience.com/deep-learning-personal-notes-part-1-lesson-2-8946fe970b95

Question 17

Question#17Topic1

An employee found a video clip with audio on a company's social media feed. The language used in the video is Spanish. English is the employee's first language, and they do not understand Spanish. The employee wants to do a sentiment analysis.
What combination of services is the MOST efficient to accomplish the task?

  1. A. Amazon Transcribe, Amazon Translate, and Amazon Comprehend
  2. B. Amazon Transcribe, Amazon Comprehend, and Amazon SageMaker seq2seq
  3. C. Amazon Transcribe, Amazon Translate, and Amazon SageMaker Neural Topic Model (NTM)
  4. D. Amazon Transcribe, Amazon Translate and Amazon SageMaker BlazingText
Show answer

Answer

A

Question 18

Question#18Topic1

A Machine Learning Specialist is packaging a custom ResNet model into a Docker container so the company can leverage Amazon SageMaker for training. The
Specialist is using Amazon EC2 P3 instances to train the model and needs to properly configure the Docker container to leverage the NVIDIA GPUs.
What does the Specialist need to do?

  1. A. Bundle the NVIDIA drivers with the Docker image.
  2. B. Build the Docker container to be NVIDIA-Docker compatible.
  3. C. Organize the Docker container's file structure to execute on GPU instances.
  4. D. Set the GPU flag in the Amazon SageMaker CreateTrainingJob request body.
Show answer and explanation

Answer

B

Explanation

https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-dg.pdf page 55: If you plan to use GPU devices, make sure that your containers are nvidia-docker compatible. Only the CUDA toolkit should be included on containers. Don't bundle NVIDIA drivers with the image. For more information about nvidia-docker, see NVIDIA/nvidia-docker. So the answer is B https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-dg.pdf

Question 19

Question#19Topic1

A Machine Learning Specialist is building a logistic regression model that will predict whether or not a person will order a pizza. The Specialist is trying to build the optimal model with an ideal classification threshold.
What model evaluation technique should the Specialist use to understand how different classification thresholds will impact the model's performance?

  1. A. Receiver operating characteristic (ROC) curve
  2. B. Misclassification rate
  3. C. Root Mean Square Error (RMSE)
  4. D. L1 norm
Show answer and explanation

Answer

A

Explanation

Reference:
https://docs.aws.amazon.com/machine-learning/latest/dg/binary-model-insights.html

Question 20

Question#20Topic1

An interactive online dictionary wants to add a widget that displays words used in similar contexts. A Machine Learning Specialist is asked to provide word features for the downstream nearest neighbor model powering the widget.
What should the Specialist do to meet these requirements?

  1. A. Create one-hot word encoding vectors.
  2. B. Produce a set of synonyms for every word using Amazon Mechanical Turk.
  3. C. Create word embedding vectors that store edit distance with every other word.
  4. D. Download word embeddings pre-trained on a large corpus.
Show answer and explanation

Answer

D

Explanation

the solution is word embedding. As it is a interactive online dictionary, we need pre-trained word embedding thus the answer is D. In addition, there is no mention that the online dictonary is unique and does not have a pre-trained word embedding. Thus I strongly feel the answer is D

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