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NEW QUESTION: 1
최소 비용을 유지하고 완료 시간을 1-1 / 2 일로 줄이려면 Networks, Inc.가 다음과 같은 활동을 중단해야 합니다.
A. DE
B. AD
C. AD and AB
D. AB and CE
Answer: C
Explanation:
The critical (longest) path is A-D-E, which has an expected time of 13 days (5.5 + 7.5). However, to decrease the project's completion time by 1.5 days, paths A-B-C-E (4.5 + 1.0
+ 6.5 = 12 days) and A-B-D-E (4.5 + .5 + 7.5= 12.5 days) as well as A-D-E must also be shortened. Hence, A-D-E must be reduced by 1.5 days. A-B-C-E by .5 day, and A-B-D-E by 1.0 day. The only way to decrease A-D-E by 1.5 days is to crash activity AD (5.5 expected time - 4.0 crash time = 1.5 days). Crashing DE results in a 1.0-day saving (7.56.5) only. Crashing AB is the efficient way to reduce both A-B-C-E and A-B-D-E by the desired amount of time because it is part of both paths. The incremental cost of crashing AB is US $1,000 (US $4,000 crash cost - US $3,000 normal cost) to shorten the completion time by 1.0 day (4.5 - 3.5). The alternatives for decreasing both A-B-C-E and A-B-D-E are more costly.

NEW QUESTION: 2
DRAG DROP
Drag and drop the extended ping command field on the left to its usage on the right.

Answer:
Explanation:

NEW QUESTION: 3
When sizing a large file server on an EMC Avamar, how many bytes per file are added to the file cache?
A. 0
B. 1
C. 2
D. 3
Answer: A
Explanation:
Explanation/Reference:
Explanation/Reference:
The most important thing to do on a client with so many files is to make sure that the file cache is sized appropriately. The file cache is responsible for the vast majority (>90%) of the performance of the Avamar client. If there's a file cache miss, the client has to go and thrash your disk for a while chunking up a file that may already be on the server.
So how to tune the file cache size?
The file cache starts at 22MB in size and doubles in size each time it grows. Each file on a client will use
44 bytes of space in the file cache (two SHA-1 hashes consuming 20 bytes each and 4 bytes of metadata).
For 25 million files, the client will generate just over 1GB of cache data.
http://jslabonte.blogspot.com/2013/08/avamar-and-large-dataset-with-multiples.html

NEW QUESTION: 4
The Scrum Master is attending a meeting in which the Scrum Team is estimating the effort required to develop the functionality described in each User Story. The team wants to adopt an estimation technique through which they will be able to quickly estimate a large number of User Stories. Which of the following techniques do you think they should adopt?
A. Affinity Estimation.
B. Planning Poker.
C. Wideband Delphi.
D. Relative Sizing.
Answer: A
Explanation:
Affinity estimation is a technique used to quickly estimate a large number of User Stories. Using sticky notes or index cards or tape, the team places User Storied on a wall or other surface, in order from small to large. For this, each team member begins with a subset or User Stories from the overall Prioritized Product Backlog to place by relative size. This initial placement is done in silence. Once everyone has placed their User Stories on the wall, the team reviews all the placements and may move User Stories around as appropriate. The second part of the exercise involves discussion. Finally, the Product Owner will indicate some sizing categories on the wall. These categories can be small, medium or large, or they may be numbered using story point values to indicate relative size. The team will then move User Stories into these categories as the final step in the process. Some key benefits of this approach are that the process is very transparent, visible to everyone, and is easy to conduct.