An employee found a video clip with audio on a company's social media feed. The language used in the video is Spanish. English is the employee's first language, and they do not understand Spanish. The employee wants to do a sentiment analysis.What combination of services is the MOST efficient to accomplish the task?
Answer(s): A
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 do?
Answer(s): B
To leverage the NVIDIA GPUs on Amazon EC2 P3 instances for training with Amazon SageMaker, the Docker container must be built to be compatible with NVIDIA-Docker.NVIDIA-Docker is a wrapper around Docker that makes it easier to use GPUs in containers by providing GPU-aware functionality.To build a Docker container that is compatible with NVIDIA-Docker, the Specialist should install the NVIDIA GPU drivers in the Docker container and install the NVIDIA-Docker runtime on the EC2 instances.
https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-dg.pdf
A Machine Learning Specialist is building a logistic regression model that will predict whether or not a person will order a pizza. The Specialist is trying to build the optimal model with an ideal classification threshold.What model evaluation technique should the Specialist use to understand how different classification thresholds will impact the model's performance?
https://docs.aws.amazon.com/machine-learning/latest/dg/binary-model-insights.html
An interactive online dictionary wants to add a widget that displays words used in similar contexts. A Machine Learning Specialist is asked to provide word features for the downstream nearest neighbor model powering the widget.What should the Specialist do to meet these requirements?
Answer(s): D
The solution is word embedding. As it is an interactive online dictionary, we need pre-trained word embedding thus the answer is D. In addition, there is no mention that the online dictonary is unique and does not have a pre-trained word embedding.
A Machine Learning Specialist is configuring Amazon SageMaker so multiple Data Scientists can access notebooks, train models, and deploy endpoints. To ensure the best operational performance, the Specialist needs to be able to track how often the Scientists are deploying models, GPU and CPU utilization on the deployed SageMaker endpoints, and all errors that are generated when an endpoint is invoked.Which services are integrated with Amazon SageMaker to track this information? (Choose two.)
Answer(s): A,D
https://aws.amazon.com/sagemaker/faqs/
A retail chain has been ingesting purchasing records from its network of 20,000 stores to Amazon S3 using Amazon Kinesis Data Firehose. To support training an improved machine learning model, training records will require new but simple transformations, and some attributes will be combined. The model needs to be retrained daily.Given the large number of stores and the legacy data ingestion, which change will require the LEAST amount of development effort?
A Machine Learning Specialist is building a convolutional neural network (CNN) that will classify 10 types of animals. The Specialist has built a series of layers in a neural network that will take an input image of an animal, pass it through a series of convolutional and pooling layers, and then finally pass it through a dense and fully connected layer with 10 nodes. The Specialist would like to get an output from the neural network that is a probability distribution of how likely it is that the input image belongs to each of the 10 classes.Which function will produce the desired output?
Answer(s): C
A Machine Learning Specialist trained a regression model, but the first iteration needs optimizing. The Specialist needs to understand whether the model is more frequently overestimating or underestimating the target.What option can the Specialist use to determine whether it is overestimating or underestimating the target value?
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