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NEW QUESTION: 1
You are hired as a data scientist at a winery. The previous data scientist used Azure Machine Learning.
You need to review the models and explain how each model makes decisions.
Which explainer modules should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Meta explainers automatically select a suitable direct explainer and generate the best explanation info based on the given model and data sets. The meta explainers leverage all the libraries (SHAP, LIME, Mimic, etc.) that we have integrated or developed. The following are the meta explainers available in the SDK:
Tabular Explainer: Used with tabular datasets.
Text Explainer: Used with text datasets.
Image Explainer: Used with image datasets.
Box 1: Tabular
Box 2: Text
Box 3: Image
Reference:
https://medium.com/microsoftazure/automated-and-interpretable-machine-learning-d07975741298

NEW QUESTION: 2
도시별로 알파벳순으로 정렬 된 모든 주문 광고 항목을 검색해야 합니다.
코드를 어떻게 완성해야 합니까? 답을 하려면 대답 영역에서 적절한 옵션을 선택하십시오.
참고 : 각각의 올바른 선택은 한 점으로 가치가 있습니다.

Answer:
Explanation:

설명

대본:
주문 데이터는 비 관계형 JSON으로 저장되며 SQL (Structured Query Language)을 사용하여 쿼리해야합니다. 주문 데이터는 Cosmos 데이터베이스에 저장됩니다.

NEW QUESTION: 3
Which of the following attacks could be used to initiate a subsequent man-in-the-middle attack?
A. Replay
B. ARP poisoning
C. DoS
D. Brute force
Answer: A
Explanation:
A replay attack (also known as playback attack) is a form of network attack in which a valid data transmission is maliciously or fraudulently repeated or delayed. This is carried out either by the originator or by an adversary who intercepts the data and retransmits it, possibly as part of a masquerade attack by IP packet substitution (such as stream cipher attack).
For example: Suppose Alice wants to prove her identity to Bob. Bob requests her password as proof of identity, which Alice dutifully provides (possibly after some transformation like a hash function); meanwhile, Eve is eavesdropping on the conversation and keeps the password (or the hash). After the interchange is over, Eve (posing as Alice) connects to Bob; when asked for a proof of identity, Eve sends Alice's password (or hash) read from the last session, which Bob accepts thus granting access to Eve.
Countermeasures: A way to avoid replay attacks is by using session tokens: Bob sends a onetime token to Alice, which Alice uses to transform the password and send the result to Bob (e.g. computing a hash function of the session token appended to the password). On his side Bob performs the same computation; if and only if both values match, the login is successful. Now suppose Eve has captured this value and tries to use it on another session; Bob sends a different session token, and when Eve replies with the captured value it will be different from Bob's computation. Session tokens should be chosen by a (pseudo-) random process. Otherwise Eve may be able to pose as Bob, presenting some predicted future token, and convince Alice to use that token in her transformation. Eve can then replay her reply at a later time (when the previously predicted token is actually presented by Bob), and Bob will accept the authentication. One-time passwords are similar to session tokens in that the password expires after it has been used or after a very short amount of time. They can be used to authenticate individual transactions in addition to sessions. The technique has been widely implemented in personal online banking systems. Bob can also send nonces but should then include a message authentication code (MAC), which Alice should check. Timestamping is another way of preventing a replay attack. Synchronization should be achieved using a secure protocol. For example Bob periodically broadcasts the time on his clock together with a MAC. When Alice wants to send Bob a message, she includes her best estimate of the time on his clock in her message, which is also authenticated. Bob only accepts messages for which the timestamp is within a reasonable tolerance. The advantage of this scheme is that Bob does not need to generate (pseudo-) random numbers, with the trade-off being that replay attacks, if they are performed quickly enough i.e. within that 'reasonable' limit, could succeed.

NEW QUESTION: 4
During the execution phase, the project manager discovered that the deliverables are not meeting the quality specifications requested by the main stakeholder. This has caused the schedule performance index (SPI) to deteriorate from 0.98 to 0.72 and the cost performance index (CPI) from 1.5 to 1.1.
What action should the project manager take to mitigate the issue of the deliverables being rejected during the next iteration?
A. Assure that the product backlog is properly prioritized to avoid dependencies that cause rejection.
B. Reinforce the definition of done (DoD) during sprint planning so that the team has a common understanding of expectations.
C. Submit a change request to prioritize resolutions for the quality issue to minimize the impact on the rest of the deliverables.
D. Create a dedicated sprint to complete all of the pending specifications from previous sprints.
Answer: B