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NEW QUESTION: 1
What is SAP master data governance capabilities: reusability and extensibility.
A. Reuse: the existing data structures and functionality of SAP Business Suite
B. None of the above.
C. Enhance: functionality Be able to enhance MDG functionality based on predefined content (for example, plant or sales data) or customer-specific extensions
D. Reuse Standard Content: Reuse existing data structures and functionality of SAP Business Suite
Answer: A,C,D
NEW QUESTION: 2
Cloud Drives like use traditional server drives, you can format the cloud drive mounted on the cloud server, create file systems and store data persistently.
A. False
B. True
Answer: B
NEW QUESTION: 3
A large supermarket is applying direct product profitability analysis to establish the profit earned by each of the products it sells.
Data for product P are as follows.
The shelf is stacked each time that all units are sold and there are no units of product P left unsold at the end of each day.
What is the direct product profit per unit of product P?
Give your answer to the nearest $0.01.
Answer:
Explanation:
$0.34
NEW QUESTION: 4
You need to recommend the appropriate technology to provide the predictive analytics for passenger pickup.
What should you do?
A. Use Machine Learning Studio to create a predictive model and publish the results as a web service.
B. Use Hadoop on-premises to analyze the traffic and produce a report that shows high traffic zones.
C. Use HDInsight to analyze the traffic data and write a .NET program to categorize the results.
D. Use Power BI to analyze the traffic data and PowerPivot to categorize the results.
Answer: A
Explanation:
* Scenario: Predictive Routing:
/ An Azure solution must be used for prediction systems.
/ Predictive analytics must be published as a web service and accessible by using the REST API.
* Microsoft Azure Machine Learning Studio is a collaborative visual development environment that enables you to build, test, and deploy predictive analytics solutions that operate on your data.
The Machine Learning service and development environment is cloud-based, provides compute resource and memory flexibility, and eliminates setup and installation concerns because you work through your web browser.
References: https://azure.microsoft.com/en-us/documentation/articles/machine-learning-what-is- ml-studio/