Free Amazon MLA-C01 Exam Questions
Absolute Free MLA-C01 Exam Practice for Comprehensive Preparation
-
Amazon MLA-C01 Exam Questions
-
Provided By: Amazon
- Exam: AWS Certified Machine Learning Engineer Associate
- Certification: AWS Certified Machine Learning
-
Total Questions: 339
-
Updated On: Jan 06, 2026
-
Rated: 4.9 |
-
Online Users: 678
-
Question 1
-
A company is planning a marketing campaign to promote a new product to existing customers. The company has data for past promotions that are similar. The company decides to try an experiment to send a more expensive marketing package to a smaller number of customers. The company wants to target the marketing campaign to customers who are most likely to buy the new product. The experiment requires that at least 90% of the customers who are likely to purchase the new product receive the marketing materials. The company trains a model by using the linear learner algorithm in Amazon SageMaker. The model has a recall score of 80% and a precision of 75%. How should the company retrain the model to meet these requirements?
Answer: B
-
A company is planning a marketing campaign to promote a new product to existing customers. The company has data for past promotions that are similar. The company decides to try an experiment to send a more expensive marketing package to a smaller number of customers. The company wants to target the marketing campaign to customers who are most likely to buy the new product. The experiment requires that at least 90% of the customers who are likely to purchase the new product receive the marketing materials. The company trains a model by using the linear learner algorithm in Amazon SageMaker. The model has a recall score of 80% and a precision of 75%. How should the company retrain the model to meet these requirements?
-
Question 2
-
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?
Answer: B
-
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?
-
Question 3
-
How do ride-sharing apps like Uber and Lyft use machine learning?
Answer: B,C,D
-
How do ride-sharing apps like Uber and Lyft use machine learning?
-
Question 4
-
What is the first step in building a machine learning application?
Answer: C
-
What is the first step in building a machine learning application?
-
Question 5
-
What is an indication that ML might be an overcomplicated solution?
Answer: B
-
What is an indication that ML might be an overcomplicated solution?