Free AWS-Certified-Machine-Learning-Specialty Exam Dumps

Question 51

A Machine Learning Specialist prepared the following graph displaying the results of k-means for k = [1:10]
AWS-Certified-Machine-Learning-Specialty dumps exhibit
Considering the graph, what is a reasonable selection for the optimal choice of k?

A. 1
B. 4
C. 7
D. 10

Correct Answer:C

Question 52

The displayed graph is from a foresting model for testing a time series.
AWS-Certified-Machine-Learning-Specialty dumps exhibit
Considering the graph only, which conclusion should a Machine Learning Specialist make about the behavior of the model?

A. The model predicts both the trend and the seasonality well.
B. The model predicts the trend well, but not the seasonality.
C. The model predicts the seasonality well, but not the trend.
D. The model does not predict the trend or the seasonality well.

Correct Answer:D

Question 53

A retail company is using Amazon Personalize to provide personalized product recommendations for its customers during a marketing campaign. The company sees a significant increase in sales of recommended items to existing customers immediately after deploying a new solution version, but these sales decrease a short time after deployment. Only historical data from before the marketing campaign is available for training.
How should a data scientist adjust the solution?

A. Use the event tracker in Amazon Personalize to include real-time user interactions.
B. Add user metadata and use the HRNN-Metadata recipe in Amazon Personalize.
C. Implement a new solution using the built-in factorization machines (FM) algorithm in Amazon SageMaker.
D. Add event type and event value fields to the interactions dataset in Amazon Personalize.

Correct Answer:A

Question 54

This graph shows the training and validation loss against the epochs for a neural network The network being trained is as follows
• Two dense layers one output neuron
• 100 neurons in each layer
• 100 epochs
• Random initialization of weights
AWS-Certified-Machine-Learning-Specialty dumps exhibit
Which technique can be used to improve model performance in terms of accuracy in the validation set?

A. Early stopping
B. Random initialization of weights with appropriate seed
C. Increasing the number of epochs
D. Adding another layer with the 100 neurons

Correct Answer:D