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NEW QUESTION: 1
Refer to the exhibit.
Based on the configurations shown, why is the serial link in up/down status?
A. Wrong configuration mode for command input
B. Passwords are in plain text
C. Mismatch of authentication type
D. Mismatch hostnames
Answer: C
Explanation:
Topic 7, Security in the Network
NEW QUESTION: 2
You have virtual machines (VMs) that run a mission-critical application.
You need to ensure that the VMs never experience down time.
What should you recommend? To answer, drag the appropriate solutions to the correct scenarios. Each solution 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: Scale set
A virtual machine scale set allows you to deploy and manage a set of identical, autoscaling virtual machines.
Box 2: Availability Set
An Availability Set is a logical grouping capability for isolating VM resources from each other when they're deployed. Azure makes sure that the VMs you place within an Availability Set run across multiple physical servers, compute racks, storage units, and network switches. If a hardware or software failure happens, only a subset of your VMs are impacted and your overall solution stays operational. Availability Sets are essential for building reliable cloud solutions.
Box 3: Fault domain
A fault domain is a logical group of underlying hardware that share a common power source and network switch, similar to a rack within an on-premises datacenter. As you create VMs within an availability set, the Azure platform automatically distributes your VMs across these fault domains. This approach limits the impact of potential physical hardware failures, network outages, or power interruptions.
NEW QUESTION: 3
A. Option D
B. Option B
C. Option A
D. Option C
Answer: D
Explanation:
Explanation
Answer - C
You can use Kinesis Streams for rapid and continuous data intake and aggregation. The type of data used includes IT infrastructure log data, application logs, social media, market data feeds, and web clickstream data. Because the response time for the data intake and processing is in real time, the processing is typically lightweight.
The following are typical scenarios for using Kinesis Streams:
* Accelerated log and data feed intake and processing - You can have producers push data directly into a stream. For example, push system and application logs and they'll be available for processing in seconds. This prevents the log data from being lost if the front end or application server fails. Kinesis Streams provides accelerated data feed intake because you don't batch the data on the servers before you submit it for intake.
* Real-time metrics and reporting - You can use data collected into Kinesis Streams for simple data analysis and reporting in real time. For example, your data-processing application can work on metrics and reporting for system and application logs as the data is streaming in, rather than wait to receive batches of data.
For more information on Amazon Kinesis and SNS please refer to the below link:
* http://docs.aws.amazon.com/streams/latest/dev/introduction.html
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Feedbacks
Aalk - 2014-05-05 16:45:18
Plato - 2014-05-05 16:45:51
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Eleanore - 2014-09-28 16:36:48