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Amazon MLS-C01 Exam Questions

Exam Name: Amazon AWS Certified Machine Learning - Specialty Exam
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: Jul. 12, 2026)
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Donna Wilson

11 days ago
Modeling questions tested algorithm selection and bias variance tradeoffs by giving dataset constraints and asking which model and regularization to use, which required careful reading of the scenario. Study the behavior of linear models, tree ensembles, and neural nets under different data regimes, and learn common hyperparameters and why they affect overfitting.
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Gerald Green

17 days ago
I managed to pass the AWS Certified Machine Learning Specialty exam by drilling EDA and feature engineering edge cases, especially leakage and skewed validation splits. The questions often read like real troubleshooting tickets, so I practiced explaining why a metric moved before picking an answer.
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Amy Robinson

1 month ago
Exploratory data analysis items asked me to interpret skewed distributions and missingness patterns, often with follow-up choices about imputation or transformation that felt deceptively similar. Practice visual diagnostics, correlation and outlier detection, and understand when to apply transformations or sampling so you can justify preprocessing decisions on the test.
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Sarah Evans

2 months ago
I passed the AWS MLS C01 last week and the hardest part was choosing the right AWS service for each pipeline step, not the math. Building a small end to end project in SageMaker helped me connect Data Engineering to deployment decisions.
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Donald Carter

2 months ago
Data engineering questions often present a scenario where you must pick an ingestion and partitioning strategy for massive S3 datasets, weighing cost, latency, and schema drift, which was tricky for me during the exam. Review Glue, EMR, Kinesis versus batch ingestion patterns, and concrete examples of data validation, and I passed the exam and thanks Pass4Success for providing good collection of exam questions for preparation in short time.
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Frank Turner

3 months ago
Notably, the model deployment and monitoring scenario questions were the toughest for me since they mixed drift detection metrics with cost and latency tradeoffs. Breaking the problem into metrics, alerting thresholds, and operational constraints helped me pick the best answer.
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Jason Robinson

3 months ago
Honestly, in the Amazon MLS-C01 I stumbled over questions that expected you to know when to prefer online feature stores over precomputed features.
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Jeffrey Rodriguez

3 months ago
Sometimes the hardest part felt like choosing the right evaluation metric for imbalanced classes rather than picking the most popular metric.
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Margaret Ramirez

2 months ago
For me the confusing style was where they combined data labeling quality issues with model selection, which forced you to think about noise and not just accuracy.
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Sarah Flores

2 months ago
One tip that helped was to mentally separate data engineering steps from modeling steps so you do not conflate preprocessing with algorithm behavior.
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Tiffany Young

3 months ago
Also, the long scenario style made it hard to keep track of assumptions, so I underlined cost and latency constraints on scratch paper.
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Pearly

3 months ago
Happy to share that I passed the AWS Certified Machine Learning - Specialty exam. The Pass4Success practice questions were instrumental in my preparation. One challenging question was in the Modeling domain, asking about the best way to handle class imbalance in a dataset. Should I use SMOTE or class weighting? I wasn't sure, but I passed.
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Dacia

4 months ago
I passed the AWS Certified Machine Learning - Specialty exam, and the Pass4Success practice questions were a lifesaver. A tricky question I encountered was about Exploratory Data Analysis, asking which method is best for feature scaling. Should I use normalization or standardization? I wasn't completely confident, but I made it through.
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Laura

4 months ago
Aced the AWS ML Specialty! Pass4Success's questions were incredibly similar to the real thing. Couldn't have done it without them.
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Chaya

4 months ago
I found the questions on data lake vs data warehouse trade-offs confusing. Pass4Success drills compared architectures with concrete pros/cons and saved me late-night stress.
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Glory

4 months ago
Crushed the AWS ML Specialty exam with the help of pass4success practice exams. My tip? Don't underestimate the importance of hands-on experience.
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Halina

5 months ago
Model explainability and SHAP value interpretation in ML pipelines showed up in several questions. Pass4Success practice exploded those scenarios and clarified what the exam expects.
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Kayleigh

5 months ago
Passed the AWS ML Specialty with flying colors using Pass4Success practice tests. Remember, it's not just about the content, but also the exam format.
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Krissy

5 months ago
Be prepared for questions on model monitoring and retraining strategies. SageMaker Model Monitor is an important service to understand.
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Charlette

5 months ago
Data visualization is crucial. Know how to use tools like Amazon QuickSight for ML insights. Pass4Success covered this well in their prep materials.
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Skye

6 months ago
The tricky thing was selecting the right AWS service for each step of a pipeline—service integration questions were like puzzles. pass4success practice made me map requirements to services faster.
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Celia

6 months ago
I was anxious about tricky ML scenarios and edge cases. Pass4Success’s comprehensive practice exams mirrored the real test, making me feel prepared and calm. To future test-takers: stay disciplined and trust the study plan.
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Franklyn

6 months ago
Nervous energy hit me right before the test; I doubted my timing and accuracy. pass4success gave me targeted quizzes and review notes that boosted my confidence dramatically. Keep pushing forward—your hard work will pay off.
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Serita

6 months ago
Ensemble methods and bias-variance tradeoffs in ML systems were brutal. The Pass4Success mock exams drilled me on when to use stacking vs blending, and the explanations clarified why certain configurations fail.
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Dick

7 months ago
I struggled with data labeling and feature engineering questions, especially when it asked to justify the feature store choices. Pass4Success helped me by simulating those decision points with explanations.
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Ceola

7 months ago
Just passed the AWS ML Specialty - Pass4Success practice exams were a game-changer. Revise effectively by identifying your weak areas and drilling down.
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Linette

7 months ago
Just cleared the AWS Certified Machine Learning - Specialty exam! The Pass4Success practice questions were a great resource. One question that stumped me was related to Data Engineering, asking about the best way to ensure data quality in a data pipeline. Should I use data validation checks or data profiling? I wasn't sure, but I passed.
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Olive

7 months ago
Wow, the AWS ML Specialty exam was tough, but I made it! Pass4Success's materials were a lifesaver. Grateful for their help!
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Micaela

8 months ago
Reinforcement learning concepts were tested. Study the basics and know how to implement RL solutions in SageMaker.
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Salina

8 months ago
I passed the AWS Certified Machine Learning - Specialty exam, and the Pass4Success practice questions were very helpful. A difficult question I faced was about Machine Learning Implementation and Operations, asking about the best way to deploy a model with minimal downtime. Should I use blue-green deployment or canary deployment? I wasn't entirely confident, but I passed.
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Emmett

8 months ago
At first I felt overwhelmed by the breadth of AWS ML topics. Pass4Success organized the topics logically, with practical labs that turned fear into familiarity. Keep grinding and believe in your preparation—success is within reach!
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Carmela

8 months ago
I started out jittery before the exam, worried I’d misinterpret questions. pass4success provided structured practice, clear explanations, and mock exams that built my confidence step by step. You’ve got this—stay consistent and trust the process, future test-takers!
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Shenika

9 months ago
Aced the AWS ML Specialty exam thanks to Pass4Success practice tests. My advice? Focus on understanding the core concepts, not just memorizing.
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Cheryl

9 months ago
The hardest part was Sagemaker model tuning questions—hyperparameters and deployment options were tricky, but Pass4Success practice exams walked me through realistic scenarios and showed which knobs matter most.
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Kimberlie

9 months ago
Just passed the AWS ML Specialty exam! Pass4Success's practice questions were spot-on. Thanks for helping me prep so quickly!
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Fanny

9 months ago
Passed the AWS ML Specialty with Pass4Success practice exams - my top tip? Manage your time wisely and don't get bogged down in the details.
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Franklyn

10 months ago
I successfully passed the AWS Certified Machine Learning - Specialty exam, and the Pass4Success practice questions were invaluable. One question that puzzled me was in the Modeling domain, asking about the best loss function to use for a regression problem. Should it be Mean Squared Error or Mean Absolute Error? I wasn't sure, but I passed.
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Dean

10 months ago
I passed the AWS Certified Machine Learning - Specialty exam, thanks to the Pass4Success practice questions. A challenging question I encountered was about Exploratory Data Analysis, specifically about the best way to handle multicollinearity in a dataset. Should I use PCA or remove correlated features? I wasn't certain, but I made it through.
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Heike

10 months ago
Understand the differences between batch and streaming data processing. Know when to use Kinesis vs Batch vs EMR.
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Elouise

10 months ago
Just got AWS ML certified! Pass4Success's practice tests were crucial. They really expedited my exam preparation.
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Nicolette

10 months ago
Excited to share that I passed the AWS Certified Machine Learning - Specialty exam. The Pass4Success practice questions were extremely helpful. One question that I found tricky was related to Data Engineering, asking about the best way to optimize ETL processes for large datasets. Should I use parallel processing or batch processing? I wasn't sure, but I passed.
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Elmer

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

1 year 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

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

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

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

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

1 year 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

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

1 year 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

1 year 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

1 year 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

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

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

1 year 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

2 years 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

2 years 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

2 years 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

2 years 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

2 years 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

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

2 years 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

2 years 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

2 years 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

2 years 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

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

2 years 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

2 years 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

2 years 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

2 years 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

2 years 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

2 years 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

2 years 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

2 years 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

2 years 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

2 years 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

2 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

2 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

2 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

2 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

2 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 Jul. 12, 2026 (see below)

Question #1

[Modeling]

An agricultural company is interested in using machine learning to detect specific types of weeds in a 100-acre grassland field. Currently, the company uses tractor-mounted cameras to capture multiple images of the field as 10 10 grids. The company also has a large training dataset that consists of annotated images of popular weed classes like broadleaf and non-broadleaf docks.

The company wants to build a weed detection model that will detect specific types of weeds and the location of each type within the field. Once the model is ready, it will be hosted on Amazon SageMaker endpoints. The model will perform real-time inferencing using the images captured by the cameras.

Which approach should a Machine Learning Specialist take to obtain accurate predictions?

Reveal Solution Hide Solution
Correct Answer: C

Question #2

[Modeling]

A data scientist must build a custom recommendation model in Amazon SageMaker for an online retail company. Due to the nature of the company's products, customers buy only 4-5 products every 5-10 years. So, the company relies on a steady stream of new customers. When a new customer signs up, the company collects data on the customer's preferences. Below is a sample of the data available to the data scientist.

How should the data scientist split the dataset into a training and test set for this use case?

Reveal Solution Hide Solution
Correct Answer: D

Question #3

[Data Engineering]

An engraving company wants to automate its quality control process for plaques. The company performs the process before mailing each customized plaque to a customer. The company has created an Amazon S3 bucket that contains images of defects that should cause a plaque to be rejected. Low-confidence predictions must be sent to an internal team of reviewers who are using Amazon Augmented Al (Amazon A2I).

Which solution will meet these requirements?

Reveal Solution Hide Solution
Correct Answer: B

Question #4

[Exploratory Data Analysis]

A company uses sensors on devices such as motor engines and factory machines to measure parameters, temperature and pressure. The company wants to use the sensor data to predict equipment malfunctions and reduce services outages.

The Machine learning (ML) specialist needs to gather the sensors data to train a model to predict device malfunctions The ML spoctafst must ensure that the data does not contain outliers before training the ..el.

What can the ML specialist meet these requirements with the LEAST operational overhead?

Reveal Solution Hide Solution
Correct Answer: C

Question #5

[Exploratory Data Analysis]

A machine learning (ML) engineer is preparing a dataset for a classification model. The ML engineer notices that some continuous numeric features have a significantly greater value than most other features. A business expert explains that the features are independently informative and that the dataset is representative of the target distribution.

After training, the model's inferences accuracy is lower than expected.

Which preprocessing technique will result in the GREATEST increase of the model's inference accuracy?

Reveal Solution Hide Solution
Correct Answer: A

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