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NEW QUESTION: 1
According to the GDPR, what is the main reason to consider data protection in the initial design phase?
A. It reduces the risk of liability
B. It ensures privacy by default
C. It ensures efficiency in project phases
D. It reduces the risk of fraud
Answer: B

NEW QUESTION: 2
Which components must be updated to required versions in order for HP OneView to manage blade enclosures?
A. Blade iLOs, Onboard Administrator,Virtual Connect
B. SmartArray P244br. Server System ROM. Blade iLOs
C. Onboard Administrator. Blade iLOs, Server System ROM
D. Virtual Connects. SAS Switches, SmartArray P244br
Answer: A

NEW QUESTION: 3
次の情報セキュリティ制御のうち、ハッカーが重要なターゲットを危険にさらすのを防ぎ、同時にハッカーに関する情報を収集するために、ハッカーにとって魅力的な隔離された環境を作成するのはどれですか？
A. 侵入検知システム
B. ボットネット
C. ハニーポット
Answer: C
Explanation:
D Firewall
Explanation:
A honeypot may be a trap that an IT pro lays for a malicious hacker, hoping that they will interact with it during a way that gives useful intelligence. It's one among the oldest security measures in IT, but beware: luring hackers onto your network, even on an isolated system, are often a dangerous game. honeypot may be a good starting place: "A honeypot may be a computer or computing system intended to mimic likely targets of cyberattacks." Often a honeypot are going to be deliberately configured with known vulnerabilities in situation to form a more tempting or obvious target for attackers. A honeypot won't contain production data or participate in legitimate traffic on your network - that's how you'll tell anything happening within it's a results of an attack. If someone's stopping by, they're up to no good. That definition covers a various array of systems, from bare-bones virtual machines that only offer a couple of vulnerable systems to ornately constructed fake networks spanning multiple servers. and therefore the goals of these who build honeypots can vary widely also , starting from defense thorough to academic research. additionally , there's now an entire marketing category of deception technology that, while not meeting the strict definition of a honeypot, is certainly within the same family. But we'll get thereto during a moment. honeypots aim to permit close analysis of how hackers do their dirty work. The team controlling the honeypot can watch the techniques hackers use to infiltrate systems, escalate privileges, and otherwise run amok through target networks. These sorts of honeypots are found out by security companies, academics, and government agencies looking to look at the threat landscape. Their creators could also be curious about learning what kind of attacks are out there, getting details on how specific sorts of attacks work, or maybe trying to lure a specific hackers within the hopes of tracing the attack back to its source. These systems are often inbuilt fully isolated lab environments, which ensures that any breaches don't end in non-honeypot machines falling prey to attacks. Production honeypots, on the opposite hand, are usually deployed in proximity to some organization's production infrastructure, though measures are taken to isolate it the maximum amount as possible. These honeypots often serve both as bait to distract hackers who could also be trying to interrupt into that organization's network, keeping them faraway from valuable data or services; they will also function a canary within the coalpit , indicating that attacks are underway and are a minimum of partially succeeding.