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NEW QUESTION: 1
When creating a recurring event what are the maximum occurrences by interval?
A. Daily: 100 Weekly: 52 Monthly: 60 Yearly: 10
B. Daily: 100 Weekly: 52 Monthly: 60 Yearly: 5
C. Daily: 365 Weekly: 52 Monthly: 12 Yearly: 1
D. Daily: 100 Weekly: 53 Monthly: 60 Yearly: 10
Answer: D

NEW QUESTION: 2
You have Microsoft SQL Server on a Microsoft Azure virtual machine. The virtual machine has a database named DB1. DB1 contains a table named Table1 that has 4 billion rows.
Users report that a query using Table1 takes longer than expected to execute.
You review the execution plan for the query and discover that the expected number of returned rows is one, while the actual number of returned rows is 1 million.
You need to reduce the amount of time it takes for the query to execute. The solution must prevent additional performance issues from being introduced.
Hot Area:

Answer:
Explanation:

Explanation

When you set the AUTO_CREATE_STATISTICS option on, the Query Optimizer creates statistics on individual columns used in a predicate, if these statistics are not already available. These statistics are necessary to generate the query plan.
References:
https://www.mssqltips.com/sqlservertip/2766/sql-server-auto-update-and-auto-create-statisticsoptions/

NEW QUESTION: 3
DRAG DROP
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).

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