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NEW QUESTION: 1
What is SAP master data governance capabilities: reusability and extensibility.
A. Reuse Standard Content: Reuse existing data structures and functionality of SAP Business Suite
B. Reuse: the existing data structures and functionality of SAP Business Suite
C. Enhance: functionality Be able to enhance MDG functionality based on predefined content (for example, plant or sales data) or customer-specific extensions
D. None of the above.
Answer: A,B,C
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 Power BI to analyze the traffic data and PowerPivot to categorize the results.
B. Use Hadoop on-premises to analyze the traffic and produce a report that shows high traffic zones.
C. Use Machine Learning Studio to create a predictive model and publish the results as a web service.
D. Use HDInsight to analyze the traffic data and write a .NET program to categorize the results.
Answer: C
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/