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NEW QUESTION: 1
Jane, an individual, has recently been calling various financial offices pretending to be another person to gain financial information. Which of the following attacks is being described?
A. Phishing
B. Pharming
C. Vishing
D. Tailgating
Answer: C
Explanation:
Vishing (voice or VoIP phishing) is an electronic fraud tactic in which individuals are tricked into revealing critical financial or personal information to unauthorized entities. Vishing works like phishing but does not always occur over the Internet and is carried out using voice technology. A vishing attack can be conducted by voice email, VoIP (voice over IP), or landline or cellular telephone.
The potential victim receives a message, often generated by speech synthesis, indicating that suspicious activity has taken place in a credit card account, bank account, mortgage account or other financial service in their name. The victim is told to call a specific telephone number and provide information to "verify identity" or to "ensure that fraud does not occur." If the attack is carried out by telephone, caller ID spoofing can cause the victim's set to indicate a legitimate source, such as a bank or a government agency.
Vishing is difficult for authorities to trace, particularly when conducted using VoIP.
Furthermore, like many legitimate customer services, vishing scams are often outsourced to other countries, which may render sovereign law enforcement powerless.
Consumers can protect themselves by suspecting any unsolicited message that suggests they are targets of illegal activity, no matter what the medium or apparent source. Rather than calling a number given in any unsolicited message, a consumer should directly call the institution named, using a number that is known to be valid, to verify all recent activity and to ensure that the account information has not been tampered with.
NEW QUESTION: 2
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a Microsoft 365 subscription.
You discover that some external users accessed content on a Microsoft SharePoint site. You modify the SharePoint sharing policy to prevent sharing outside your organization.
You need to be notified if the SharePoint policy is modified in the future.
Solution: From the SharePoint site, you create an alert.
Does this meet the goal?
A. No
B. Yes
Answer: A
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. face detection
B. optical character recognition (OCR)
C. object detection
D. image classification
Answer: C
Explanation:
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
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