Free Practice Amazon MLS-C01 Exam Questions 2025

Stay ahead with 100% Free AWS Certified Machine Learning - Specialty MLS-C01 Dumps Practice Questions

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Total 392 Questions | Updated On: Jun 04, 2025

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Question 1

An insurance company developed a new experimental machine learning (ML) model to replace an existing model that is in production. The company must validate the quality of predictions from the new experimental model in a production environment before the company uses the new experimental model to serve general user requests.

New one model can serve user requests at a time. The company must measure the performance of the new experimental model without affecting the current live traffic.

Which solution will meet these requirements?

A : A/B testing

B : Canary release

C : Shadow deployment

D : Blue/green deployment

Answer: D

Question 2

A Data Scientist received a set of insurance records, each consisting of a record ID, the final outcome among

200 categories, and the date of the final outcome. Some partial information on claim contents is also provided,

but only for a few of the 200 categories. For each outcome category, there are hundreds of records distributed

over the past 3 years. The Data Scientist wants to predict how many claims to expect in each category from

month to month, a few months in advance.

What type of machine learning model should be used?

A : Classification month-to-month using supervised learning of the 200 categories based on claim contents.

B : Reinforcement learning using claim IDs and timestamps where the agent will identify how many claims in

each category to expect from month to month.

C : Forecasting using claim IDs and timestamps to identify how many claims in each category to expect from

month to month.

D : Classification with supervised learning of the categories for which partial information on claim contents is

provided, and forecasting using claim IDs and timestamps for all other categories.

Answer: D

Question 3

A Machine Learning Specialist works for a credit card processing company and needs to predict which

transactions may be fraudulent in near-real time. Specifically, the Specialist must train a model that returns the

probability that a given transaction may fraudulent.

How should the Specialist frame this business problem?

A : Streaming classification

B : Binary classification

C : Multi-category classification

D : Regression classification

Answer: C

Question 4

A data scientist is building a new model for an ecommerce company. The model will predict how many minutes it will take to deliver a package. During model training, the data scientist needs to evaluate model performance. Which metrics should the data scientist use to meet this requirement? (Select TWO.)

A : InferenceLatency

B : Mean squared error (MSE)

C : Root mean squared error (RMSE)

D : Precision

E : Accuracy

Answer: B,C

Question 5

A large consumer goods manufacturer has the following products on sale

* 34 different toothpaste variants

* 48 different toothbrush variants

* 43 different mouthwash variants

The entire sales history of all these products is available in Amazon S3 Currently, the company is using custom-built autoregressive integrated moving average (ARIMA) models to forecast demand for these products The company wants to predict the demand for a new product that will soon be launched

Which solution should a Machine Learning Specialist apply?

A : Train a custom ARIMA model to forecast demand for the new product.

B : Train an Amazon SageMaker DeepAR algorithm to forecast demand for the new product

C : Train an Amazon SageMaker k-means clustering algorithm to forecast demand for the new product.

D : Train a custom XGBoost model to forecast demand for the new product

Answer: B

Page: 1 / 79

Total 392 Questions | Updated On: Jun 04, 2025

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