MLS-C01 Free Practice Test

A Machine Learning Specialist is packaging a custom ResNet model into a Docker container so the company can leverage Amazon SageMaker for training The Specialist is using Amazon EC2 P3 instances to train the model and needs to properly configure the Docker container to leverage the NVIDIA GPUs
What does the Specialist need to do1?

1. A. Bundle the NVIDIA drivers with the Docker image
2. B. Build the Docker container to be NVIDIA-Docker compatible
3. C. Organize the Docker container's file structure to execute on GPU instances.
4. D. Set the GPU flag in the Amazon SageMaker Create TrainingJob request body

Correct Answer: A

An online reseller has a large, multi-column dataset with one column missing 30% of its data A Machine Learning Specialist believes that certain columns in the dataset could be used to reconstruct the missing data
Which reconstruction approach should the Specialist use to preserve the integrity of the dataset?

1. A. Listwise deletion
2. B. Last observation carried forward
3. C. Multiple imputation
4. D. Mean substitution

Correct Answer: C

The Chief Editor for a product catalog wants the Research and Development team to build a machine learning system that can be used to detect whether or not individuals in a collection of images are wearing the company's retail brand The team has a set of training data
Which machine learning algorithm should the researchers use that BEST meets their requirements?

1. A. Latent Dirichlet Allocation (LDA)
2. B. Recurrent neural network (RNN)
3. C. K-means
4. D. Convolutional neural network (CNN)

Correct Answer: C

A Machine Learning Specialist is working for a credit card processing company and receives an unbalanced dataset containing credit card transactions. It contains 99,000 valid transactions and 1,000 fraudulent transactions The Specialist is asked to score a model that was run against the dataset The Specialist has been
advised that identifying valid transactions is equally as important as identifying fraudulent transactions What metric is BEST suited to score the model?

1. A. Precision
2. B. Recall
3. C. Area Under the ROC Curve (AUC)
4. D. Root Mean Square Error (RMSE)

Correct Answer: A

A company's Machine Learning Specialist needs to improve the training speed of a time-series forecasting model using TensorFlow. The training is currently implemented on a single-GPU machine and takes approximately 23 hours to complete. The training needs to be run daily.
The model accuracy js acceptable, but the company anticipates a continuous increase in the size of the training data and a need to update the model on an hourly, rather than a daily, basis. The company also wants to minimize coding effort and infrastructure changes
What should the Machine Learning Specialist do to the training solution to allow it to scale for future demand?

1. A. Do not change the TensorFlow cod
2. B. Change the machine to one with a more powerful GPU to speed up the training.
3. C. Change the TensorFlow code to implement a Horovod distributed framework supported by Amazon SageMake
4. D. Parallelize the training to as many machines as needed to achieve the business goals.
5. E. Switch to using a built-in AWS SageMaker DeepAR mode
6. F. Parallelize the training to as many machines as needed to achieve the business goals.
7. G. Move the training to Amazon EMR and distribute the workload to as many machines as needed to achieve the business goals.

Correct Answer: B