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NEW QUESTION: 1
A knowledge area defines a subset of program management and its processes within that domain. For example, the knowledge area of quality management includes the processes related directly to quality management only. Which knowledge area ensures that all knowledge areas interact correctly with one another?
A. Program management planning
B. Program benefits management
C. Integration management
D. Communications management
Answer: C

NEW QUESTION: 2
You want to limit the access of a table to allow users to only see certain columns and/or rows.
Which of the following options CANNOT be used to accomplish this?
A. A combination of row permissions and column masks
B. A view
C. An MQT (Materialized Query Table)
D. Multilevel security
Answer: C

NEW QUESTION: 3
Which statement MOST characterizes an individual acting as a leader rather than a manager?
A. Motivated by procedures
B. Emphasises output quality
C. Concerned with clarifying the vision
D. Involved in increasing throughput
Answer: C

NEW QUESTION: 4
You have data generated by sensors. The data is sent to Microsoft Azure Event Hubs.
You need to have an aggregated view of the data in near real-time by using five minute tumbling windows to identity short-term trends. You must also have hourly and a daily aggregated views of the data.
Which technology should you use for each task? To answer, drag the appropriate technologies to the correct tasks. Each technology may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: Azure HDInsight MapReduce
Azure Event Hubs allows you to process massive amounts of data from websites, apps, and devices. The Event Hubs spout makes it easy to use Apache Storm on HDInsight to analyze this data in real time.
Box 2: Azure Event Hub
Box 3: Azure Stream Analytics
Stream Analytics is a new service that enables near real time complex event processing over streaming data.
Combining Stream Analytics with Azure Event Hubs enables near real time processing of millions of events per second. This enables you to do things such as augment stream data with reference data and output to storage (or even output to another Azure Event Hub for additional processing).