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Sure Pass Exam MLS-C01 PDF

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Total 322 questions

AWS Certified Machine Learning - Specialty Questions and Answers

Question 53

A Machine Learning Specialist is building a prediction model for a large number of features using linear models, such as linear regression and logistic regression During exploratory data analysis the Specialist observes that many features are highly correlated with each other This may make the model unstable

What should be done to reduce the impact of having such a large number of features?

Options:

A.

Perform one-hot encoding on highly correlated features

B.

Use matrix multiplication on highly correlated features.

C.

Create a new feature space using principal component analysis (PCA)

D.

Apply the Pearson correlation coefficient

Question 54

A car company is developing a machine learning solution to detect whether a car is present in an image. The image dataset consists of one million images. Each image in the dataset is 200 pixels in height by 200 pixels in width. Each image is labeled as either having a car or not having a car.

Which architecture is MOST likely to produce a model that detects whether a car is present in an image with the highest accuracy?

Options:

A.

Use a deep convolutional neural network (CNN) classifier with the images as input. Include a linear output layer that outputs the probability that an image contains a car.

B.

Use a deep convolutional neural network (CNN) classifier with the images as input. Include a softmax output layer that outputs the probability that an image contains a car.

C.

Use a deep multilayer perceptron (MLP) classifier with the images as input. Include a linear output layer that outputs the probability that an image contains a car.

D.

Use a deep multilayer perceptron (MLP) classifier with the images as input. Include a softmax output layer that outputs the probability that an image contains a car.

Question 55

A Data Scientist is working on an application that performs sentiment analysis. The validation accuracy is poor and the Data Scientist thinks that the cause may be a rich vocabulary and a low average frequency of words in the dataset

Which tool should be used to improve the validation accuracy?

Options:

A.

Amazon Comprehend syntax analysts and entity detection

B.

Amazon SageMaker BlazingText allow mode

C.

Natural Language Toolkit (NLTK) stemming and stop word removal

D.

Scikit-learn term frequency-inverse document frequency (TF-IDF) vectorizers

Question 56

A company builds computer-vision models that use deep learning for the autonomous vehicle industry. A machine learning (ML) specialist uses an Amazon EC2 instance that has a CPU: GPU ratio of 12:1 to train the models.

The ML specialist examines the instance metric logs and notices that the GPU is idle half of the time The ML specialist must reduce training costs without increasing the duration of the training jobs.

Which solution will meet these requirements?

Options:

A.

Switch to an instance type that has only CPUs.

B.

Use a heterogeneous cluster that has two different instances groups.

C.

Use memory-optimized EC2 Spot Instances for the training jobs.

D.

Switch to an instance type that has a CPU GPU ratio of 6:1.

Page: 14 / 23
Total 322 questions