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NEW QUESTION: 1
In the network shown in the figure below, which of the following commands can be entered on the router to enable host A to ping host B? (Multiple choice)
A. RTA: ip route-static 0.0.0.0 0.0.0.0 11.0.12.1 RTB: ip route-static 0.0.0.0 0.0.0.0 11.0.12.2
B. RTA: ip route-static 10.0.12.5 255.255.255.252 11.0.12.2 RTB: ip route-static 10.0.12.1 255.255.255.252 11.0.12.1
C. RTA: ip route-static 0.0.0.0 0.0.0.0 11.0.12.2 RTB: ip route-static 0.0.0.0 0.0.0.0 11.0.12.1
D. RTA: ip route-static 10.0.12.5 255.255.255.252 11.0.12.1 RTB: ip route-static 10.0.12.1 255.255.255.252 11.0.12.2
Answer: B,C
NEW QUESTION: 2
Which two NetApp products reduce the backup time and create a consistent backup for a primary Oracle target?
(Choose two.)
A. Open Systems SnapVault
B. SnapManager for Orade
C. SnapProtect
D. SnapMirror for Open Systems
Answer: B,C
NEW QUESTION: 3
Which of the following is a specification-based technique?
A. Condition coverage
B. Error Guessing.
C. Statement Testing.
D. Use Case Testing
Answer: D
NEW QUESTION: 4
広告応答のモデリング戦略を定義する必要があります。
順番に実行する必要がある3つのアクションはどれですか？回答するには、適切なアクションをアクションのリストから回答エリアに移動し、正しい順序に並べます。
Answer:
Explanation:
Explanation:
Step 1: Implement a K-Means Clustering model
Step 2: Use the cluster as a feature in a Decision jungle model.
Decision jungles are non-parametric models, which can represent non-linear decision boundaries.
Step 3: Use the raw score as a feature in a Score Matchbox Recommender model The goal of creating a recommendation system is to recommend one or more "items" to "users" of the system. Examples of an item could be a movie, restaurant, book, or song. A user could be a person, group of persons, or other entity with item preferences.
Scenario:
Ad response rated declined.
Ad response models must be trained at the beginning of each event and applied during the sporting event.
Market segmentation models must optimize for similar ad response history.
Ad response models must support non-linear boundaries of features.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/multiclass-decision-jungle
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/score-matchbox-recommender