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NEW QUESTION: 1
회사의 애플리케이션은 Elastic Load Balancer 뒤의 Auto Scaling 그룹 내 Amazon EC2 인스턴스에서 실행되고 있습니다. 애플리케이션 기록에 따라 회사는 매년 휴일 동안 트래픽 급증을 예상합니다. 솔루션 설계자는 Auto Scaling을 보장하기 위한 전략을 설계해야 합니다. 그룹은 애플리케이션 사용자에게 미치는 성능 영향을 최소화하기 위해 용량을 사전에 증가시킵니다. 어떤 솔루션이 이러한 요구 사항을 충족합니까?
A. 예상 최대 수요 기간 이전에 Auto Scaling 그룹을 확장하기 위해 반복 예약 된 작업을 만듭니다.
B. 자동 스케일링 EC2_INSTANCE_LAUNCH 이벤트가 있을 때 경고를 보내도록 Amazon Simple Notification Service (Amazon SNS) 알림을 구성합니다.
C. 최대 수요 기간 동안 Auto Scaling 그룹에서 최소 및 최대 EC2 인스턴스 수 증가
D. CPU 사용률이 90 %를 초과하면 Amazon CloudWatch 경보를 생성하여 EC2 인스턴스를 확장
Answer: A

NEW QUESTION: 2
Which mode is appropriate for the camera in the corridor?
A. Low-light mode
B. Normal mode
C. Corridor mode
D. Black and white mode
Answer: C

NEW QUESTION: 3
You need to determine the location of cars in an image so that you can estimate the distance between the cars.
Which type of computer vision should you use?
A. image classification
B. optical character recognition (OCR)
C. face detection
D. object detection
Answer: D
Explanation:
Object detection is similar to tagging, but the API returns the bounding box coordinates (in pixels) for each object found. For example, if an image contains a dog, cat and person, the Detect operation will list those objects together with their coordinates in the image. You can use this functionality to process the relationships between the objects in an image. It also lets you determine whether there are multiple instances of the same tag in an image.
The Detect API applies tags based on the objects or living things identified in the image. There is currently no formal relationship between the tagging taxonomy and the object detection taxonomy. At a conceptual level, the Detect API only finds objects and living things, while the Tag API can also include contextual terms like "indoor", which can't be localized with bounding boxes.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-object-detection

NEW QUESTION: 4
You have recently Joined a startup company and quickly find that nobody is tracking the amount of money spent on Oracle Cloud Infrastructure (OCI). Seeing an opportunity to help save money you begin creating a solution to better track the cost of resources provisioned by each individual on the team.
Which option allows you to identify excessive spend across all resources in your tenancy?
A. Use the Python SDK to write a custom application that will monitor the Audit Log. Look for CREATE events and configure the application to send you an email each time a new resource is created.
B. Create a tag namespace named BILLING with a Tag Key named CostCenter. Tag each of your resources with this Tag Key and the correct value.
C. Create a budget for each compartment that will send a notification when monthly spend reaches a pre-defined amount.
D. Use the Events Service and create rules that will act when a new Object Storage bucket or Compute Instance has been created. Have the rule email you each time one of these events occurs.
Answer: C
Explanation:
Explanation
A budget can be used to set soft limits on your Oracle Cloud Infrastructure spending. You can set alerts on your budget to let you know when you might exceed your budget, and you can view all of your budgets and spending from one single place in the Oracle Cloud Infrastructure console.
Budgets are set on cost-tracking tags or on compartments (including the root compartment) to track all spending in that cost-tracking tag or for that compartment and its children.