Which Amazon service can you use to deploy machine learning instances and run Jupyter Notebooks?

Question 15 options:

	Amazon Comprehend
	Amazon Polly
	Amazon Lex
	Amazon SageMaker

What is the goal of an Amazon SageMaker Hyperparameter tuning job?

Question 16 options:

	To optimize the data inputs to produce the fastest prediction
	To optimize the validation metrics for training
	To optimize the algorithms choice to produce the best model
	To optimize the model parameters to produce the best model

Which use cases apply to forecasting? (SELECT TWO)

Select 2 correct answer(s)

Question 17 options:

	Predicting the inventory that's required for items in a warehouse
	Determining if two images are of the same person
	Predicting the energy consumption of an office
	Predicting the sentiment of a review
	Predicting if an X-ray image contain an abnormality

Which datasets could be used as a time series dataset? (SELECT TWO)

Select 2 correct answer(s)

Question 18 options:

	Membership data that contains personally identifiable information (PII) and a donate flag
	Chemical composition of food additives
	Sales data that contains items, purchase dates, and quantities
	Results from a one time survey
	Web logs that contain IP addresses, pages, and timestamps

You have a dataset of temperature readings from a weather station. Temperature readings are logged every five minutes. You notice that there are several missing values each day. Which approach could you take? (SELECT TWO)

Select 2 correct answer(s)

Question 19 options:

	Replace the missing values with zero
	Use the sum of the temperatures for the day to fill the missing values
	Remove the records that have the missing data
	Backward fill the missing values
	Forward fill the missing values