AWS Certified Machine Learning Engineer – Associate (MLA-C01) Free Practice Exam Questions

198 real AWS Certified Machine Learning Engineer – Associate (MLA-C01) exam questions with answers and AI explanations. Amazon Web Services certification prep — page 11 of 20.

  1. Question 106: A company needs an AWS solution that will automatically create versions of ML models as the models are created. Which solution will meet this requirement?
  2. Question 107: An ML engineer notices class imbalance in an image classification training job. What should the ML engineer do to resolve this issue?
  3. Question 108: An ML engineer needs to merge and transform data from two sources to retrain an existing ML model. One data source consists of .csv files that are stored in an…
  4. Question 109: An ML engineer needs to ensure that a dataset complies with regulations for personally identifiable information (PII). The ML engineer will use the data to tra…
  5. Question 110: A company must install a custom script on any newly created Amazon SageMaker notebook instances. Which solution will meet this requirement with the LEAST opera…
  6. Question 111: A medical company needs to store clinical data. The data includes personally identifiable information (PII) and protected health information (PHI). An ML engin…
  7. Question 112: An ML engineer is training an ML model to identify people’s health risk based on 20 features and 1 target. The target class has two values: • Likely to have he…
  8. Question 113: An ML engineer is deploying a trained model to an Amazon SageMaker endpoint. The ML engineer needs to receive alerts when data quality issues occur in producti…
  9. Question 114: A company needs to use Amazon SageMaker to train a model on more than 300 GB of data. The training data is composed of files that are 200 MB in size. The data…
  10. Question 115: A company has an ML model that is deployed to an Amazon SageMaker endpoint for real-time inference. The company needs to deploy a new model. The company must c…