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SAP Certified Associate - Enterprise Architecture Consultant - SAP LeanIX
- Exam Number/Code : C_LIXEA_2404
- Exam Name : SAP Certified Associate - Enterprise Architecture Consultant - SAP LeanIX
- Questions and Answers : 213 Q&As
- Update Time: 2019-01-10
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NEW QUESTION: 1
A. SELECT * FROM sys.dm_exec_requests WHERE session_id = 60
B. DBCC INPUTBUFFER (60)
C. SELECT * FROM sys.dm_exec_sessions WHERE session_id = 60
D. DBCC OPENTRAN
Answer: A
NEW QUESTION: 2
A. Remote Connectivity Analyzer
B. Microsoft Lync Connectivity Analyzer Tool
C. OCSLogger
D. ClsController
Answer: D
NEW QUESTION: 3
You need to define a modeling strategy for ad response.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
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-recommende