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NEW QUESTION: 1
Note: This question is part of a series of questions that present the same scenario.
Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
Your company has multiple databases that contain millions of sales transactions.
You plan to implement a data mining solution to identity purchasing fraud.
You need to design a solution that mines 10 terabytes (TB) of sales data. The solution must meet the following requirements:
* Run the analysis to identify fraud once per week.
* Continue to receive new sales transactions while the analysis runs.
* Be able to stop computing services when the analysis is NOT running.
Solution: You create a Cloudera Hadoop cluster on Microsoft Azure virtual machines.
Does this meet the goal?
A. Yes
B. No
Answer: A
Explanation:
Explanation: Processing large amounts of unstructured data requires serious computing power and also maintenance effort. As load on computing power typically fluctuates due to time and seasonal influences and/or processes running on certain times, a cloud solution like Microsoft Azure is a good option to be able to scale up easily and pay only for what is actually used.

NEW QUESTION: 2
How does a personal computer function in a distributed processing network?
A. It uses more of the host computer's processing software than when running terminal emulation software.
B. It acts like a dumb terminal with the application running on the host computer.
C. It performs some of the functions traditionally associated with the mainframe host.
D. It eliminates the need for communication with a remote host computer.
Answer: C

NEW QUESTION: 3
You have a Microsoft 365 subscription.
From the subscription, you perform an audit log search, and you download all the results.
You plan to review the audit log data by using Microsoft Excel.
You need to ensure that each audited property appears in a separate Excel column.
What should you do first?
A. From Power Query Editor, transform the XML data.
B. From Power Query Editor, transform the JSON data.
C. Format the Operations column by using conditional formatting.
D. Format the AuditData column by using conditional formatting.
Answer: B
Explanation:
Explanation
After you search the Office 365 audit log and download the search results to a CSV file, the file contains a column named AuditData, which contains additional information about each event. The data in this column is formatted as a JSON object, which contains multiple properties that are configured as property:value pairs separated by commas. You can use the JSON transform feature in the Power Query Editor in Excel to split each property in the JSON object in the AuditData column into multiple columns so that each property has its own column. This lets you sort and filter on one or more of these properties References:
https://docs.microsoft.com/en-us/microsoft-365/compliance/export-view-audit-log-records

NEW QUESTION: 4
An LTM has the 3 virtual servers, 2 SNATs, four self IP addresses defined and the networks shown in the graphic below. Selected options for each object are shown below. Settings not shown are at their defaults.
Assume port exhaustion has not been reached. VirtualServerl Destination: 10.10.2.102:80 netmask 255.255.255.255 Pool: Pool with 3 members in the 172.16/16 network SNAT Automap configured VirtualServer2 Destination: 10.10.2.102:* netmask 255.255.255.255 Pool: Pool with 3 members in the 192.168/16 network VirtualServer3 Destination: 10.10.2.0:80 netmask 255.255.255.0 Type: IP Forwarding SNATI Source IP: 10.10.0.0 netmask 255.255.0.0 SNATAddress: SNAT Pool with 2 members- 172.16.20.50 and 192.168.10.50 SNAT2 Source IP: All Addresses SNAT Address: 10.10.2.102 Floating Self IPs 192.168.1.1; 172.16.1.1; 10.10.2.1; 10.10.1.1 A connection attempt is made with a source IP and port of 10.20.10.50:2222 and a destination IP and port of 10.10.2.102:80. When the request is processed, what will be the source and destination IP addresses?

A. Source IP: 182.16.1.1; Destination IP: pool member in the 172316/16 network
B. Source IP: 192.168.1.1; Destination IP: pool member in the 192.168/16 network
C. Source IP: 172316.20.50; Destination IP: pool member in the 182.16/16 network
D. Source IP: 10.20.10.50; Destination IP: pool member in the 192.168/16 network
E. Source IP: 192.168.10.50; Destination IP: pool member in the 192.168./16 network
F. The request will be dropped.
G. Source IP: 192.168.10.50; Destination IP: pool member in the 192.168/16 network
H. Source IP: 10.20.10.50; Destination IP: pool member in the 172.16/16 network
Answer: A