100% Free Amazon MLA-C01 Practice Test Questions

Question 1

A company is creating an application that will recommend products for customers to purchase. The application will make API calls to Amazon Q Business. The company must ensure that responses from Amazon Q Business do not include the name of the company's main competitor. Which solution will meet this requirement?

A : Configure the competitor's name as a blocked phrase in Amazon Q Business.

B : Configure an Amazon Q Business retriever to exclude the competitors name.

C : Configure an Amazon Kendra retriever for Amazon Q Business to build indexes that exclude the competitor's name.

D : Configure document attribute boosting in Amazon Q Business to deprioritize the competitor's name.

Answer: A

Question 2

A company has historical data that shows whether customers needed long-term support from company staff. The company needs to develop an ML model to predict whether new customers will require long-term support. Which modeling approach should the company use to meet this requirement?

A : Anomaly detection

B : Linear regression

C : Logistic regression

D : Semantic segmentation

Answer: C

Question 3

A company has historical data that shows whether customers needed long-term support from company staff. The company needs to develop an ML model to predict whether new customers will require long-term support. Which modeling approach should the company use to meet this requirement?

A : Anomaly detection

B : Linear regression

C : Logistic regression

D : Semantic segmentation

Answer: C

Question 4

A company that promotes healthy sleep patterns by providing cloud-connected devices currently hosts a sleep tracking application on AWS.The application collects device usage information from device users.The company's Data Science team is building a machine learning model to predict if and when a user will stop utilizing the company's devices.Predictions from this model are used by a downstream application that determines the best approach for contacting users.The Data Science team is building multiple versions of the machine learning model to evaluate each version against the company's business goals.To measure long-term effectiveness, the team wants to run multiple versions of the model in parallel for long periods of time, with the ability to control the portion of inferences served by the models.Which solution satisfies these requirements with MINIMAL effort?

A : Build and host multiple models in Amazon SageMaker. Create an Amazon SageMaker endpoint configuration with multiple production variants. Programmatically control the portion of the inferences served by the multiple models by updating the endpoint configuration.

B : Build and host multiple models in Amazon SageMaker. Create a single endpoint that accesses multiple models. Use Amazon SageMaker batch transform to control invoking the different models through the single endpoint.

C : Build and host multiple models in Amazon SageMaker Neo to take into account different types of medical devices. Programmatically control which model is invoked for inference based on the medical device type.

D : Build and host multiple models in Amazon SageMaker. Create multiple Amazon SageMaker endpoints, one for each model. Programmatically control invoking different models for inference at the application layer.

Answer: B

Question 5

How does the Amazon flywheel model ensure continuous improvement and growth?

A : By using feedback loops that integrate customer experience, selection, and pricing.

B : By limiting the scope of operational improvements to cost reduction only.

C : By avoiding changes to business practices.

D : By maintaining a static approach to business operations.

Answer: A

Free Practice Amazon MLA-C01 Exam Questions 2025