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NEW QUESTION: 1
What type of configuration profile will let you manage which Software Update server the OS X Mountain Lion computers in your organization use?
A. group profile
B. trust profile
C. user profile
D. device group profile
Answer: D

NEW QUESTION: 2
A customer is considering the DL330 Gen9 as the platform standard tor Its VSAN cluster.
The configuration will use 24 drives. Each 8-drive cage will contain 1 SSD and 7 SATA drives.
Winch array controller should the architect recommend for this configuration?
A. HPE SAS Expander
B. HPE Flexible Smart Array P440ar controller
C. HPE Dynamic Smart Array B3140i controller
D. HPE Smart Array P840 controller
Answer: B

NEW QUESTION: 3
次の展示に示すApp Serviceプランがあります。

App Serviceプランのスケールイン設定は、次の図に示すように構成されています。


スケールアウトルールは、スケールインルールと同じ期間とクールダウンタイルで構成されます。
ドロップダウンメニューを使用して、図に示されている情報に基づいて各ステートメントを完了する回答を選択します。

Answer:
Explanation:

NEW QUESTION: 4
Many approaches to Knowledge Discovery in Databases (KDD) are used to identify valid and useful patterns in data. This is an evolving field of study that includes a variety of automated analysis solutions such as Data Mining. Which of the following is not an approach used by KDD?
A. Classification
B. Oriented
C. Deviation
D. Probabilistic
Answer: B
Explanation:
Explanation/Reference:
Explanation:
Oriented is not a KDD approach.
The following are three approaches used in KDD systems to uncover these patterns:
Classification - Data are grouped together according to shared similarities.

Probabilistic - Data interdependencies are identified and probabilities are applied to their relationships.

Statistical - Identifies relationships between data elements and uses rule discovery.

Another fourth data mining technique is deviation detection: find the record(s) that is (are) the most different from the other records, i.e., find all outliers. These may be thrown away as noise or may be the
"interesting" ones.
Incorrect Answers:
A: Probabilistic is a KDD approach where data interdependencies are identified and probabilities are applied to their relationships.
C: deviation detection is a KDD approach where the records that are the most different from the other records, i.e., find all outliers, are found.
D: Classification is a KDD approach which identifies relationships between data elements and uses rule discovery.
References:
Conrad, Eric, Seth Misenar and Joshua Feldman, CISSP Study Guide, 2nd Edition, Syngress, Waltham,
2012, p. 1368
https://en.wikipedia.org/wiki/Data_mining