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NEW QUESTION: 1
You are implementing Microsoft Dynamics AX 2012 for an organization that has multiple regions of operation.
The organization has a policy that states that centralized payments should be processed through the main office.
Which three actions should you perform to enable centralized payments? Each correct answer presents part of the
solution.
A. Set up accrual schemes.
B. Set up currencies and their respective exchange rates.
C. Set up the organizational hierarchy and the organization hierarchy purposes.
D. Set up intercompany accounting.
E. Set up a bridging account.
Answer: B,C,D
Explanation:
A: You must set up an organizational hierarchy for centralized payments.
B: Before you begin, the following setup procedures must be complete:
* (B) Set up intercompany accounting
* Create legal entities
* Set up General ledger parameters
* Set up Accounts payable parameters
C: Set up currency codes for centralized payments
Reference: Set up centralized vendor payments [AX 2012]
NEW QUESTION: 2
どのAzureData Factoryコンポーネントが、アクティビティのコンピューティング環境を提供しますか？
A. 制御フロー
B. リンクされたサービス
C. パイプライン
D. 統合ランタイム
Answer: D
Explanation:
Explanation
The Integration Runtime (IR) is the compute infrastructure used by Azure Data Factory to provide the following data integration capabilities across different network environments:
* Data Flow
* Data movement
* Activity dispatch
* SSIS package execution
NEW QUESTION: 3
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
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