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NEW QUESTION: 1
IBM WebSphere Portal software provides helper files for common configuration tasks that can be run with the ConfigEngine task. It is possible to create helper files for any common task. Which parameter is used to point to a custom helper file during execution of a ConfigEngine task?
A. -DhelperProperties=helper.properties
B. -DparentTasks=helper.properties
C. -DhelperTasks=helper.properties
D. -DparentProperties=helper.properties
Answer: D
NEW QUESTION: 2
In order to analyze data captured by a Cascade Shark appliance. (Select 3)
A. You can connect directly to the Cascade Shark with Cascade Gateway to begin analysis.
B. You can connect directly to the Cascade Shark with Cascade Pilot to begin analysis.
C. You can export data from a capture job directly to a packet capture (pcap) file and open in any tool that accepts pcap format.
D. You can start analysis on the Cascade Profiler based upon flow data that has been sent from Cascade Shark to Cascade Profiler.
E. You can start by loading views of the data from the Cascade Shark Appliance Web GUI before export to Wireshark.
Answer: B,C,D
NEW QUESTION: 3
You are designing an Azure application that stores data.
You have the following requirements:
* The data storage system must support storing more than 500 GB of data.
* Data retrieval must be possible from a large number of parallel threads.
* Threads must not block each other.
You need to recommend an approach for storing data.
What should you recommend?
A. Azure Notification Hubs
B. A single SQL database in Azure
C. Azure Table storage
D. Azure Queue storage
Answer: C
Explanation:
* Azure Table Storage can be useful for applications that must store large amounts of nonrelational data, and need additional structure for that data. Tables offer key-based access to unschematized data at a low cost for applications with simplified data-access patterns. While Azure Table Storage stores structured data without schemas, it does not provide any way to represent relationships between the data.
* As a solution architect/developer, consider using Azure Table Storage when:
/ Your application stores and retrieves large data sets and does not have complex relationships that require server-side joins, secondary indexes, or complex server-side logic.
/ You need to achieve a high level of scaling without having to manually shard your dataset.
References: https://msdn.microsoft.com/en-us/library/azure/jj553018.aspx