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MLS-C01 Exam Results

Page: 6 / 23
Total 322 questions

AWS Certified Machine Learning - Specialty Questions and Answers

Question 21

A company uses a long short-term memory (LSTM) model to evaluate the risk factors of a particular energy

sector. The model reviews multi-page text documents to analyze each sentence of the text and categorize it as

either a potential risk or no risk. The model is not performing well, even though the Data Scientist has

experimented with many different network structures and tuned the corresponding hyperparameters.

Which approach will provide the MAXIMUM performance boost?

Options:

A.

Initialize the words by term frequency-inverse document frequency (TF-IDF) vectors pretrained on a largecollection of news articles related to the energy sector.

B.

Use gated recurrent units (GRUs) instead of LSTM and run the training process until the validation lossstops decreasing.

C.

Reduce the learning rate and run the training process until the training loss stops decreasing.

D.

Initialize the words by word2vec embeddings pretrained on a large collection of news articles related to theenergy sector.

Question 22

A Machine Learning Specialist needs to move and transform data in preparation for training Some of the data needs to be processed in near-real time and other data can be moved hourly There are existing Amazon EMR MapReduce jobs to clean and feature engineering to perform on the data

Which of the following services can feed data to the MapReduce jobs? (Select TWO )

Options:

A.

AWSDMS

B.

Amazon Kinesis

C.

AWS Data Pipeline

D.

Amazon Athena

E.

Amazon ES

Question 23

An insurance company is developing a new device for vehicles that uses a camera to observe drivers' behavior and alert them when they appear distracted The company created approximately 10,000 training images in a controlled environment that a Machine Learning Specialist will use to train and evaluate machine learning models

During the model evaluation the Specialist notices that the training error rate diminishes faster as the number of epochs increases and the model is not accurately inferring on the unseen test images

Which of the following should be used to resolve this issue? (Select TWO)

Options:

A.

Add vanishing gradient to the model

B.

Perform data augmentation on the training data

C.

Make the neural network architecture complex.

D.

Use gradient checking in the model

E.

Add L2 regularization to the model

Question 24

A data scientist must build a custom recommendation model in Amazon SageMaker for an online retail company. Due to the nature of the company's products, customers buy only 4-5 products every 5-10 years. So, the company relies on a steady stream of new customers. When a new customer signs up, the company collects data on the customer's preferences. Below is a sample of the data available to the data scientist.

How should the data scientist split the dataset into a training and test set for this use case?

Options:

A.

Shuffle all interaction data. Split off the last 10% of the interaction data for the test set.

B.

Identify the most recent 10% of interactions for each user. Split off these interactions for the test set.

C.

Identify the 10% of users with the least interaction data. Split off all interaction data from these users for the test set.

D.

Randomly select 10% of the users. Split off all interaction data from these users for the test set.

Page: 6 / 23
Total 322 questions