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NEW QUESTION: 1
Which of the following concepts describes the use of a one way transformation in order to validate the integrity of a program?
A. Key escrow
B. Hashing
C. Non-repudiation
D. Steganography
Answer: B
Explanation:
Hashing refers to the hash algorithms used in cryptography. It is used to store data, such as hash tables and its main characteristics are:
It must be one-way - it is not reversible.
Variable-length input produces fixed-length output - whether you have two characters or 2 million, the hash size is the same.
The algorithm must have few or no collisions - in hashing two different inputs does not give the same output.
Incorrect Answers:
B. Key escrow is used with nonrepudiation in that the third party in the two-key system may also need access keys.
Under the conditions of key escrow, the keys needed to decrypt/encrypt data are held in an escrow account and made available if that third party requests it. The opposite of key escrow is a key recovery agent.
C. Nonrepudiation prevents one party from denying actions that they carried out and in the electronic world nonrepudiation measures can be a two-key cryptographic system and the involvement of a third party to verify the validity. This respected third party 'vouches' for the individuals in the two-key system.
D. Steganography is the process of hiding a message in a medium such as a digital image, audio fi le, or other file. In theory, doing this prevents analysts from detecting the real message. You could encode your message in another fi le or message and use that fi le to hide your message.
References:
Dulaney, Emmett and Chuck Eastton, CompTIA Security+ Study Guide, 6th Edition, Sybex, Indianapolis, 2014, pp. 248,
255, 262, 291

NEW QUESTION: 2
A network administrator is building two IRF domains:
-One domain for the two distribution layer switches -One domain for the access layer switches
Each access layer switch should have a connection to each distribution layer switch. In this
design, how many access switches can the administrator have in the access layer IRF domain before spanning tree is required to remove loops between the two IRF domains?
A. 0
B. 1
C. 2
D. 3
E. 4
Answer: D

NEW QUESTION: 3
A security engineer discovers that during certain times of day, the corporate wireless network is dropping enough packets to significantly degrade service. Which of the following should be the engineer's FIRST step in troubleshooting the issues?
A. Change to a higher gain antenna
B. Increase the power level
C. Configure stronger encryption
D. Perform a site survey
Answer: B

NEW QUESTION: 4
병원에서 다음 유스 케이스를 지원하는 솔루션을 개발 중입니다.
* 다른 위치의 여러 사용자가 환자 기록을 업데이트 한 경우에도 최신 환자 상태 세부 정보를 검색해야 합니다.
* 검색된 환자 건강 모니터링 데이터는 최신 버전 또는 이전 버전이어야 합니다.
* 환자가 퇴원하고 모든 비용이 청구 된 후 환자 청구 기록에 최종 청구 금액이 포함됩니다.
Cosmos DB NoSQL 데이터베이스를 제공하고 데이터베이스 계정의 기본 일관성 수준을 Strong으로 설정합니다. 인덱싱 모드의 값을 일관성있게 설정합니다.
대기 시간을 최소화하고 솔루션 가용성에 미치는 영향을 최소화해야 합니다. 시나리오에 필요한 일관성 보장을 충족 시키려면 쿼리 수준에서 기본 일관성 수준을 재정의해야 합니다.
어떤 일관성 수준을 구현해야 합니까? 대답하려면 적절한 일관성 레벨을 올바른 요구 사항으로 끌어 놓으십시오. 각 일관성 레벨은 한 번, 두 번 이상 또는 전혀 사용하지 않을 수 있습니다. 콘텐츠를 보려면 분할 막대를 창 사이로 드래그하거나 스크롤해야 할 수 있습니다.
참고 : 각각의 올바른 선택은 한 점으로 가치가 있습니다.

Answer:
Explanation:

Explanation:
Box 1: Strong
Strong: Strong consistency offers a linearizability guarantee. The reads are guaranteed to return the most recent committed version of an item. A client never sees an uncommitted or partial write. Users are always guaranteed to read the latest committed write.
Box 2: Bounded staleness
Bounded staleness: The reads are guaranteed to honor the consistent-prefix guarantee. The reads might lag behind writes by at most "K" versions (that is "updates") of an item or by "t" time interval. When you choose bounded staleness, the "staleness" can be configured in two ways:
The number of versions (K) of the item
The time interval (t) by which the reads might lag behind the writes
Box 3: Eventual
Eventual: There's no ordering guarantee for reads. In the absence of any further writes, the replicas eventually converge.
Incorrect Answers:
Consistent prefix: Updates that are returned contain some prefix of all the updates, with no gaps. Consistent prefix guarantees that reads never see out-of-order writes.
References:
https://docs.microsoft.com/en-us/azure/cosmos-db/consistency-levels