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NEW QUESTION: 1
A user is planning to make a mobile game which can be played online or offline and will be hosted on EC2.
The user wants to ensure that if someone breaks the highest score or they achieve some milestone they can inform all their colleagues through email. Which of the below mentioned AWS services helps achieve this goal?
A. Amazon Cognito
B. AWS Simple Workflow Service.
C. AWS Simple Queue Service.
D. AWS Simple Email Service.
Answer: D
Explanation:
Amazon Simple Email Service (Amazon SES) is a highly scalable and cost-effective email-sending service for businesses and developers. It integrates with other AWS services, making it easy to send emails from applications that are hosted on AWS.
Reference: http://aws.amazon.com/ses/faqs/
NEW QUESTION: 2
What has HPE implemented in the HPE ProLiant Gen10 to prevent malware?
A. application isolation control
B. persistent memory
C. silicon root of trust
D. jitter smoothing
Answer: C
Explanation:
Section: (none)
NEW QUESTION: 3
Your customer has a rule for Maternity entitlements according to which the qualification date is on the absence start date if actual dates are entered or if it is not entered, then the qualification date needs to be the event date (actual if available, or else, the planned date).
Which formula should you use in the absence plan setup to achieve this?
A. Global Absence Plan Use Rate
B. Global Absence Plan Roll Backward End
C. Global Absence Band Entitlement
D. Global Absence Plan Enrollment Start Date
E. Global Absence Plan Duration
Answer: D
NEW QUESTION: 4
You are performing a filter based feature selection for a dataset 10 build a multi class classifies by using Azure Machine Learning Studio.
The dataset contains categorical features that are highly correlated to the output label column.
You need to select the appropriate feature scoring statistical method to identify the key predictors. Which method should you use?
A. Spearman correlation
B. Kendall correlation
C. Person correlation
D. Chi-squared
Answer: C
Explanation:
Explanation
Pearson's correlation statistic, or Pearson's correlation coefficient, is also known in statistical models as the r value. For any two variables, it returns a value that indicates the strength of the correlation Pearson's correlation coefficient is the test statistics that measures the statistical relationship, or association, between two continuous variables. It is known as the best method of measuring the association between variables of interest because it is based on the method of covariance. It gives information about the magnitude of the association, or correlation, as well as the direction of the relationship.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/filter-based-feature-selection
https://www.statisticssolutions.com/pearsons-correlation-coefficient/