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AWS Certified AI Practitioner

  • Exam Number/Code : AIF-C01
  • Exam Name : AWS Certified AI Practitioner
  • Questions and Answers : 213 Q&As
  • Update Time: 2019-01-10
  • Price: $ 99.00 $ 39.00

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NEW QUESTION: 1
PPP is a state owned national railway operator. It has many divisions, each focusing on specific areas of the country.
PPP's mission statement is 'to provide a safe, punctual and reliable public transport service at lowest cost to its passengers and the government'.
Which THREE of the following divisional performance measures should PPP adopt?
A. Cost per passenger mile
B. Percentage of trains arriving within 2 minutes of scheduled time
C. Level of carbon emissions
D. Number of accidents or near misses each month
E. Return on investment (ROI)
Answer: A,B,D

NEW QUESTION: 2
What are the specific capabilities of HP Systinet that enable application governance and policy management? (Select three.)
A. Configuration lockdown
B. Dynamic discovery and configuration management
C. EA repository
D. Governance lifecycle and policy management
E. System availability and performance monitoring
F. Contract management
Answer: A,B,D

NEW QUESTION: 3
You have an Azure web app named App1 that has the following configurations:
* The app runs on three instances.
* The minimum number of instances is one.
* The maximum number of instances is five.
You create the following autoscale rules for App1:
* Decrease the instance count by one when the CPU percentage is less than 30.
* Decrease the instance count by one when the memory percentage is less than 50.
* Increase the instance count by one when the CPU percentage is greater than 80.
* Increase the instance count by one when the memory percentage is greater than 75.
You expect App1 to be utilized as shown in the following table.

You need to identify the maximum number of instances that will be used by App1 during the expected periods of utilization.
What should you identify? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:
On scale out, autoscale runs if any rule is met. On scale-in, autoscale requires all rules to be met. Therefore, the web app will scale out but will never scale back in because there is no time where the CPU is less than 30% AND the memory is less than 50%.