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NEW QUESTION: 1
You have a Hyper-V host named Server1 that runs Windows Server 2016. Server1 hosts a virtual machine named VM1 that runs Windows Server 2012. VM1 has the following configuration.
You discover that when you back up Server1, VM1 temporarily pauses.
You need to ensure that you can back up Server1 without causing downtime on VM1.
What should you do?
A. Increase the memory on VM1
B. Enable the VSS integration service on VM1
C. Upgrade VM1 to Windows Server 2016
D. Connect the hard disk drive of VM1 to an SCSI controller
E. Update the virtual machine version of VM1
Answer: B
Explanation:
Explanation
References:
https://www.starwindsoftware.com/blog/hyper-v-backup-challenges-windows-server-2016-needs-to-address
NEW QUESTION: 2
A. Option B
B. Option A
C. Option C
D. Option D
Answer: A
NEW QUESTION: 3
Which of the following statements regarding variances is valid?
A. Poor supervision could explain a favourable labour rate variance.
B. Using higher quality material than standard could explain an adverse labour efficiency variance
C. Improved maintenance of production machinery could explain an adverse material usage variance.
D. An adverse labour rate variance could explain a favourable labour efficiency variance
Answer: D
NEW QUESTION: 4
Your company releases new features with high frequency while demanding high application availability. As
part of the application's A/B testing, logs from each updated Amazon EC2 instance of the application need to
be analyzed in near real-time, to ensure that the application is working flawlessly after each deployment. If the
logs show any anomalous behavior, then the application version of the instance is changed to a more stable
one. Which of the following methods should you use for shipping and analyzing the logs in a highly available
manner?
A. Ship the logs to Amazon CloudWatch Logs and use Amazon EMR to analyze the logs in a batch manner
each hour.
B. Ship the logs to Amazon S3 for durability and use Amazon EMR to analyze the logs in a batch manner
each hour.
C. Ship the logs to an Amazon Kinesis stream and have the consumers analyze the logs in a live manner.
D. Ship the logs to a large Amazon EC2 instance and analyze the logs in a live manner.
Answer: C
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.a
mazon.com/streams/latest/dev/introduction.html