QUESTION: 97

A large company has developed a BI application that generates reports and dashboards using data collected from various operational metrics. The company wants to provide executives with an enhanced experience so they can use natural language to get data from the reports. The company wants the executives to be able ask questions using written and spoken interfaces.

Which combination of services can be used to build this conversational interface? (Choose three.)

Alexa for Business
Amazon Connect
Amazon Lex
Amazon Polly
Amazon Comprehend
Amazon Transcribe

Answer(s): B,E,F

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QUESTION: 98

A machine learning specialist works for a fruit processing company and needs to build a system that categorizes apples into three types. The specialist has collected a dataset that contains 150 images for each type of apple and applied transfer learning on a neural network that was pretrained on ImageNet with this dataset.

The company requires at least 85% accuracy to make use of the model.

After an exhaustive grid search, the optimal hyperparameters produced the following:
•68% accuracy on the training set
•67% accuracy on the validation set

What can the machine learning specialist do to improve the system’s accuracy?

Upload the model to an Amazon SageMaker notebook instance and use the Amazon SageMaker HPO feature to optimize the model’s hyperparameters.
Add more data to the training set and retrain the model using transfer learning to reduce the bias.
Use a neural network model with more layers that are pretrained on ImageNet and apply transfer learning to increase the variance.
Train a new model using the current neural network architecture.

Answer(s): B

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QUESTION: 99

A company uses camera images of the tops of items displayed on store shelves to determine which items were removed and which ones still remain. After several hours of data labeling, the company has a total of 1,000 hand-labeled images covering 10 distinct items. The training results were poor.

Which machine learning approach fulfills the company’s long-term needs?

Convert the images to grayscale and retrain the model
Reduce the number of distinct items from 10 to 2, build the model, and iterate
Attach different colored labels to each item, take the images again, and build the model
Augment training data for each item using image variants like inversions and translations, build the model, and iterate.

Answer(s): D

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QUESTION: 100

A Data Scientist is developing a binary classifier to predict whether a patient has a particular disease on a series of test results. The Data Scientist has data on 400 patients randomly selected from the population. The disease is seen in 3% of the population.

Which cross-validation strategy should the Data Scientist adopt?

A k-fold cross-validation strategy with k=5
A stratified k-fold cross-validation strategy with k=5
A k-fold cross-validation strategy with k=5 and 3 repeats
An 80/20 stratified split between training and validation

Answer(s): B

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QUESTION: 100