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NEW QUESTION: 1
ホットスポットの質問
指定された各項目について、ドロップダウンの選択肢から適切な認証カテゴリを選択します。
手順：シミュレーションが完了したら、[完了]ボタンを選択して送信してください。

Answer:
Explanation:

Explanation:
指紋、網膜スキャン、音声認識などが含まれます。
持っているものには、スマートカード、トークンデバイス、またはキーが含まれます。
知っているものには、パスワード、コード、PIN、組み合わせ、または秘密のフレーズが含まれます。
どこかに、ドメイン名、IPアドレス、MACアドレスなどの物理的な場所または論理アドレスが含まれています。
あなたが行うことには、タイピングリズム、秘密の握手、またはプライベートノックが含まれます
http://en.wikipedia.org/wiki/Password_authentication_protocol#Working_cycle
http://en.wikipedia.org/wiki/Smart_card#Security

NEW QUESTION: 2
Exhibit:

What cluster mode is represented in this case?
A. 3rd party cluster
B. HA (New mode)
C. Load Sharing (multicast mode)
D. Load Sharing Unicast (Pivot) mode
Answer: C

NEW QUESTION: 3
Which of the following tasks obtains the customer agreement in planning the technical effort
A. Task 10
B. Task 11
C. Task 9
D. Task 8
Answer: B

NEW QUESTION: 4
An analyst knows that the categorical predictor, storeId, is an important predictor of the target.
However, store_Id has too many levels to be a feasible predictor in the model. The analyst wants to
combine stores and treat them as members of the same class level.
What are the two most effective ways to address the problem? (Choose two.)
A. Use subject matter expertise to combine stores that are similar.
B. Eliminate store_id as a predictor in the model because it has too many levels to be feasible.
C. Randomly combine the stores into five groups to keep the stochastic variation among the observations
intact.
D. Cluster by using Greenacre's method to combine stores that are similar.
Answer: A,D