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NEW QUESTION: 1
Peter works as a Network Administrator for Net World Inc. The company wants to allow remote users to connect and access its private network through a dial-up connection via the Internet. All the data will be sent across a public network. For security reasons, the management wants the data sent through the Internet to be encrypted. The company plans to use a Layer 2 Tunneling Protocol (L2TP) connection. Which communication protocol will Peter use to accomplish the task?
A. Data Encryption Standard (DES)
B. IP Security (IPSec)
C. Pretty Good Privacy (PGP)
D. Microsoft Point-to-Point Encryption (MPPE)
Answer: B
NEW QUESTION: 2
HOTSPOT
Answer:
Explanation:
The P1 performance level has 100 DTUs compared to the 200 DTUs of the P2 performance level. That means that the
P1 performance level provides half the performance of the P2 performance level. So, 50% of CPU utilization in P2 equals 100% CPU utilization in P1. As long as the application does not have timeouts, it may not matter if a big job takes 2 hours or 2.5 hours to complete as long as it gets done today. An application in this category can probably just use a P1 performance level. You can take advantage of the fact that there are periods of time during the day where resource usage is lower, meaning that any "big peak" might spill over into one of the
References:
http://msdn.microsoft.com/en-us/library/azure/dn369873.aspx
NEW QUESTION: 3
You send an image to a Computer Vision API and receive back the annotated image shown in the exhibit.
Which type of computer vision was used?
A. image classification
B. optical character recognition (OCR)
C. object detection
D. semantic segmentation
Answer: C
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