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NEW QUESTION: 1
Refer to the exhibit.
An engineer is performing a static analysis on a malware and knows that it is capturing keys and webcam events on a company server. What is the indicator of compromise?
A. The malware contains an encryption and decryption routine to hide URLs/IP addresses and is storing the output of loggers and webcam captures in locally encrypted files for retrieval.
B. The malware has moved to harvesting cookies and stored account information from major browsers and configuring a reverse proxy for intercepting network activity.
C. The malware is a ransomware querying for installed anti-virus products and operating systems to encrypt and render unreadable until payment is made for file decryption.
D. The malware is performing comprehensive fingerprinting of the host, including a processor, motherboard manufacturer, and connected removable storage.
Answer: C
NEW QUESTION: 2
A. Option B
B. Option A
C. Option D
D. Option C
Answer: A
NEW QUESTION: 3
CAPの定理ごとに、どのシナリオで保証間のトレードオフを行う必要はありませんか？
A. ロードバランサーを使用している場合
B. ネットワークパーティションがない場合
C. システムがクラウドで実行されている場合
D. システムがオンプレミスで実行されている場合
Answer: B
Explanation:
Explanation
(1) CAP THEOREM
"CONSISTENCY, AVAILABILITY and PARTITION TOLERANCE are the features that we want in our distributed system together" Of three properties of shared-data systems (Consistency, Availability and tolerance to network Partitions) only two can be achieved at any given moment in time.
(2) In a distributed system, you can have both Consistency and Availability, except when there is a Partition:
Relaxing the consistency requirements usually makes it easier to maintain availability, but the CAP theorem is not an excuse to give up strong consistency across the board. A well-designed system can balance both availability and consistency while tolerating partitions over a range of tradeoffs, where eventual consistency is just one possibility.
References:
https://blogs.oracle.com/maa/the-cap-theorem:-consistency-and-availability-except-when-partitioned
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