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NEW QUESTION: 1
On your customer's AFF A700, there are multiple volumes within the aggregate aggr1. Within aggr1, volumes voll, vol2, and vol3 store similar data, and volumes vol4 and vol5 store unique data.
In this scenario, which feature would improve storage efficiency with the data stored in volumes voll, vol2, and vol3?
A. inline compression
B. inline aggregate-level deduplication
C. data compaction
D. postprocess compression
Answer: B

NEW QUESTION: 2
From the perspective of reporting from the Cascade Profiler, what are the differences between flow reported by a Cascade Sensor (minimum version 9.0) and a Cascade Shark
(minimum version 3)?
A. All of the Above.
B. The Cascade Shark can forward flow to only one destination Cascade Profiler.
C. The communication between the Cascade Shark and Cascade Profiler is NOT encrypted as it is with Cascade Sensor and Cascade Profiler communication.
D. Flows reported by Cascade Shark will not include an application tag triggered by matching known signatures within the first 1000 bytes of the flow.
Answer: D

NEW QUESTION: 3
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
Start of repeated scenario.
You have a Microsoft SQL Server database that has the tables shown in the Database Diagram exhibit. (Click the Exhibit button.)

You plan to develop a Power BI model as shown in the Power BI Model exhibit. (Click the Exhibit button.)

You plan to use Power BI to import data from 2013 to 2015.
Product Subcategory[Subcategory] contains NULL values.
End of Repeated Scenario.
You need to create a measure of Sales[SalesAmount] where Product[Color] is Red or Product[Size] is 50.
Which DAX formula should you use?


A. Option C
B. Option B
C. Option D
D. Option A
Answer: A