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NEW QUESTION: 1
When you add lifecycle hooks to an Autoscaling Group, what are the wait states that occur during the scale in and scale out process. Choose 2 answers from the options given below
A. Terminating:Wait
B. Pending:Wait
C. Exiting:Wait
D. Launching:Wait
Answer: A,B
Explanation:
Explanation
The AWS Documentation mentions the following
After you add lifecycle hooks to your Auto Scaling group, they work as follows:
1. Auto Scaling responds to scale out events by launching instances and scale in events by terminating instances.
2. Auto Scaling puts the instance into a wait state (Pending:Wait orTerminating: Wait). The instance is paused until either you tell Auto Scaling to continue or the timeout period ends.
For more information on Autoscaling Lifecycle hooks, please visit the below URL: * http://docs.aws.a mazon.com/autoscaling/latest/userguide/lifecycle-hooks.html
NEW QUESTION: 2
Refer to the exhibit. A customer wants to use HSRP as a First Hop Redundancy Protocol. Both routers are currently running and all interfaces are active. Which factor determines which router becomes the active HSRP device?
A. the router with the highest IP address for the respective group
B. the router with the highest MAC address for the respective group
C. the router that boots up last
D. the router with the highest interface bandwidth for the respective group
Answer: A
NEW QUESTION: 3
HOTSPOT
Answer:
Explanation:
Internal communication (contoso.com), and external communication with fabrikam.com are both allowed.
References:
https://support.office.com/en-us/article/Users-can-contact-external-Skype-for-Business-users- b414873a-0059-4cd5-aea1-e5d0857dbc94
NEW QUESTION: 4
You need to develop a mobile app for employees to scan and store their expenses while travelling.
Which type of computer vision should you use?
A. object detection
B. image classification
C. semantic segmentation
D. optical character recognition (OCR)
Answer: D
Explanation:
Azure's Computer Vision API includes Optical Character Recognition (OCR) capabilities that extract printed or handwritten text from images. You can extract text from images, such as photos of license plates or containers with serial numbers, as well as from documents - invoices, bills, financial reports, articles, and more.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-recognizing-text