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Amazon MLS-C01 Exam Questions

Exam Name: AWS Certified Machine Learning - Specialty
Exam Code: MLS-C01 AWS ML Specialty
Related Certification(s):
  • Amazon Specialty Certifications
  • Amazon AWS Certified Machine Learning Certifications
Certification Provider: Amazon
Actual Exam Duration: 180 Minutes
Number of MLS-C01 practice questions in our database: 330 (updated: Aug. 09, 2025)
Expected MLS-C01 Exam Topics, as suggested by Amazon :
  • Topic 1: Data Engineering: It discusses creating data repositories for ML, identifying and implementing a data ingestion solution. Lastly, the topic delves into identifying and implementing a data transformation solution.
  • Topic 2: Exploratory Data Analysis: This topic covers sanitizing and preparing data for modeling and performing feature engineering. Additionally, it discusses analyzing and visualizing data for ML.
  • Topic 3: Modeling: The topic of modeling deals with framing business problems as ML problems, choosing the suitable model(s) for a given ML problem, training ML models. It also discusses hyperparameter optimization and evaluation of ML models.
  • Topic 4: Machine Learning Implementation and Operations: Building ML solutions for performance, availability, scalability, resiliency, and fault tolerance is discussed in this topic. It also focuses on suitable ML services and features for a given problem. Lastly, the topic delves into applying basic AWS security practices to ML solutions and deploying and operationalizing ML solutions.
Disscuss Amazon MLS-C01 Topics, Questions or Ask Anything Related

Elmer

1 months ago
Computer vision topics were present. Be familiar with image preprocessing and common CNN architectures. Pass4Success really helped here!
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Ressie

1 months ago
Successfully passed AWS ML Specialty! Pass4Success's questions were incredibly similar to the actual exam. Highly effective!
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Eladia

2 months ago
Cost optimization for ML workflows is important. Know how to choose the right instance types and use Spot instances effectively.
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Malcolm

2 months ago
AWS ML certification in the bag! Thanks Pass4Success for the relevant practice questions. Made prep so much easier!
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Nikita

4 months ago
Passed the AWS ML Specialty test! Pass4Success's materials were a game-changer. So grateful for their help!
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Lisbeth

4 months ago
Anomaly detection questions appeared. Study algorithms like Random Cut Forest and understand how to implement them in AWS.
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Wenona

5 months ago
AWS ML cert achieved! Pass4Success's practice questions were invaluable. They really streamlined my preparation.
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Evangelina

5 months ago
Passed the exam thanks to thorough prep on ML model interpretability. SHAP values and feature importance were key topics. Pass4Success materials were invaluable!
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Cora

5 months ago
Natural Language Processing is definitely covered. Know about text preprocessing, tokenization, and popular NLP models.
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Eulah

6 months ago
Nailed the AWS ML Specialty exam! Pass4Success's prep materials were spot-on. Saved me so much study time!
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Kaitlyn

6 months ago
Be ready for questions on model deployment and A/B testing. SageMaker endpoints and production variants are important topics.
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Ligia

6 months ago
Time series forecasting came up in my exam. Familiarize yourself with algorithms like ARIMA and Prophet. Pass4Success practice tests were spot on!
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Leonida

6 months ago
Just became AWS ML certified! Pass4Success made all the difference. Their questions matched the exam perfectly.
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Lilli

7 months ago
Expect questions on data labeling services like SageMaker Ground Truth. Know when and how to use them effectively.
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Meghann

7 months ago
I passed the AWS Certified Machine Learning - Specialty exam, and the Pass4Success practice questions were a great aid. There was a tough question on Machine Learning Implementation and Operations about the best practices for versioning machine learning models. Should I use Git or a specialized tool like DVC? I wasn't entirely confident, but I passed.
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Gaston

7 months ago
AWS security in ML pipelines is crucial. Understand IAM roles, KMS, and how to secure data at rest and in transit. Pass4Success helped me nail these concepts.
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Torie

7 months ago
AWS ML Specialty exam: check! Couldn't have done it without Pass4Success. Their practice tests were key to my success.
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Lenna

8 months ago
Deep learning architectures are definitely on the exam. Be prepared to identify suitable neural network structures for different tasks.
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Dannie

8 months ago
Kinesis questions surprised me. Know how to configure streams and use Kinesis for real-time data processing. Pass4Success materials covered this well.
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Javier

8 months ago
Just passed the AWS Certified Machine Learning - Specialty exam! The Pass4Success practice questions were a big help. One question that threw me off was in the Modeling domain, asking about the advantages of using ensemble methods like Random Forest over single models. I wasn't completely sure, but I still managed to pass.
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Portia

8 months ago
Passed my AWS ML cert today! Pass4Success helped me prepare efficiently. Their questions were right on target.
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Franklyn

9 months ago
Don't underestimate the importance of model evaluation metrics. ROC curves, confusion matrices, and F1 scores were all fair game. Study these thoroughly!
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Elke

9 months ago
I passed the AWS Certified Machine Learning - Specialty exam, and the Pass4Success practice questions were very useful. A question that I found difficult was about Exploratory Data Analysis, asking which statistical test to use for comparing two sample means. Should it be a t-test or ANOVA? I wasn't sure, but I passed the exam.
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Darrel

9 months ago
I successfully passed the AWS Certified Machine Learning - Specialty exam, thanks to the Pass4Success practice questions. One question that puzzled me was related to Data Engineering, specifically about the most efficient way to handle missing data in a large dataset. Should I use imputation or deletion? I wasn't certain, but I made it through.
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Timmy

9 months ago
AWS Glue came up a lot in my exam. Make sure you understand ETL processes and how to use Glue for data preparation. Thanks to Pass4Success for the spot-on practice questions!
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Alberta

9 months ago
Aced the AWS Certified ML Specialty! Pass4Success questions were incredibly similar to the real thing. Highly recommend!
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Helga

10 months ago
Happy to share that I passed the AWS Certified Machine Learning - Specialty exam. The Pass4Success practice questions were instrumental in my preparation. There was a challenging question on Machine Learning Implementation and Operations about the best way to monitor model performance in production. Should I use a confusion matrix or ROC curve? I wasn't sure, but I still passed.
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Kimi

10 months ago
Know your ML algorithms inside out. The exam tests your ability to select the right algorithm for specific use cases. Brush up on supervised vs unsupervised learning!
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Pamella

10 months ago
I passed the AWS Certified Machine Learning - Specialty exam, and the Pass4Success practice questions were a lifesaver. One question that caught me off guard was about hyperparameter tuning in the Modeling domain. It asked which method, grid search or random search, would be more efficient for a large parameter space. I wasn't completely confident in my answer, but I passed!
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Mitsue

10 months ago
Wow, the AWS ML exam was tough but I made it! Pass4Success materials were a lifesaver, so relevant to the actual test.
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Glenna

11 months ago
Data preprocessing is key! Study feature engineering techniques like one-hot encoding and normalization. Pass4Success really helped me prepare for these questions.
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Adell

11 months ago
Just cleared the AWS Certified Machine Learning - Specialty exam! The Pass4Success practice questions were a great resource. There was a tricky question on Exploratory Data Analysis that asked about the most effective visualization technique for identifying outliers in a dataset. I debated between a box plot and a scatter plot, but I still managed to get through the exam.
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Gladys

11 months ago
Just passed the AWS ML Specialty exam! SageMaker questions were crucial. Be ready to configure hyperparameters and choose instance types for training jobs.
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Farrah

11 months ago
I recently passed the AWS Certified Machine Learning - Specialty exam, and I must say, the Pass4Success practice questions were incredibly helpful. One question that stumped me was about the best practices for data partitioning in a data lake, which is a key aspect of Data Engineering. I wasn't entirely sure if I should choose partitioning by date or by another attribute, but I managed to pass the exam nonetheless.
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Dalene

11 months ago
Just passed the AWS ML Specialty exam! Thanks Pass4Success for the spot-on practice questions. Saved me weeks of prep time!
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Kayleigh

12 months ago
With the assistance of Pass4Success practice questions, I was able to pass the Amazon AWS Certified Machine Learning - Specialty exam. The exam focused on Data Engineering and Exploratory Data Analysis. One question that stood out to me was related to performing feature engineering. Can you provide more information on this topic?
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Royal

1 years ago
My exam experience was successful as I passed the Amazon AWS Certified Machine Learning - Specialty exam using Pass4Success practice questions. The topics of Data Engineering and Exploratory Data Analysis were crucial for the exam. I remember a question that tested my knowledge on creating data repositories for ML. Can you elaborate on this topic further?
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Elza

1 years ago
Just passed the AWS ML Specialty exam! Be ready for questions on feature engineering and data preprocessing. Understanding how to handle missing data and create effective features is crucial. Big thanks to Pass4Success for their spot-on practice questions – they really helped me prep in a short time!
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Herman

1 years ago
I recently passed the AWS Certified Machine Learning - Specialty exam, thanks to Pass4Success for their relevant practice questions! A key topic was data preprocessing. Expect questions on handling missing values and feature scaling. Study different techniques like imputation and normalization. The exam also focused heavily on model selection and evaluation. Be prepared to interpret confusion matrices and ROC curves. Brush up on various performance metrics for different ML tasks. Finally, AWS-specific services were crucial. Know SageMaker's built-in algorithms and when to use each. Understanding deployment options and instance types is essential. Good luck to future exam takers!
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Glory

1 years ago
I passed the Amazon AWS Certified Machine Learning - Specialty exam with the help of Pass4Success practice questions. The exam covered topics like Data Engineering and Exploratory Data Analysis. One question that I was unsure of was related to identifying and implementing a data transformation solution. Can you provide more insights on this topic?
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Therese

1 years ago
Alex Johnson
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Free Amazon MLS-C01 Exam Actual Questions

Note: Premium Questions for MLS-C01 were last updated On Aug. 09, 2025 (see below)

Question #1

[Exploratory Data Analysis]

A company wants to forecast the daily price of newly launched products based on 3 years of data for older product prices, sales, and rebates. The time-series data has irregular timestamps and is missing some values.

Data scientist must build a dataset to replace the missing values. The data scientist needs a solution that resamptes the data daily and exports the data for further modeling.

Which solution will meet these requirements with the LEAST implementation effort?

Reveal Solution Hide Solution
Correct Answer: C

Question #2

[Modeling]

When submitting Amazon SageMaker training jobs using one of the built-in algorithms, which common parameters MUST be specified? (Select THREE.)

Reveal Solution Hide Solution
Correct Answer: A, C, F

Question #3

[Modeling]

A company sells thousands of products on a public website and wants to automatically identify products with potential durability problems. The company has 1.000 reviews with date, star rating, review text, review summary, and customer email fields, but many reviews are incomplete and have empty fields. Each review has already been labeled with the correct durability result.

A machine learning specialist must train a model to identify reviews expressing concerns over product durability. The first model needs to be trained and ready to review in 2 days.

What is the MOST direct approach to solve this problem within 2 days?

Reveal Solution Hide Solution
Correct Answer: A

Question #4

[Modeling]

A Data Scientist is building a model to predict customer churn using a dataset of 100 continuous numerical

features. The Marketing team has not provided any insight about which features are relevant for churn

prediction. The Marketing team wants to interpret the model and see the direct impact of relevant features on

the model outcome. While training a logistic regression model, the Data Scientist observes that there is a wide

gap between the training and validation set accuracy.

Which methods can the Data Scientist use to improve the model performance and satisfy the Marketing team's

needs? (Choose two.)

Reveal Solution Hide Solution
Correct Answer: A, C

Question #5

[Modeling]

A company wants to enhance audits for its machine learning (ML) systems. The auditing system must be able to perform metadata analysis on the features that the ML models use. The audit solution must generate a report that analyzes the metadat

a. The solution also must be able to set the data sensitivity and authorship of features.

Which solution will meet these requirements with the LEAST development effort?

Reveal Solution Hide Solution
Correct Answer: D


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