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NEW QUESTION: 1
What feature comes into play to help ensure the completion of the backup should one of three backup devices fail during a backup that is using three different channels?
A. Restartable backups
B. Channel failover
C. Channel recovery
D. Automatic backup recovery
E. Rescheduable backups
Answer: B

NEW QUESTION: 2
The depositary of your securities:
A. is never responsible for safeguarding securities
B. is responsible only for safeguarding the securities that you have on your account
C. is responsible for safeguarding both the securities that you have on your account and their settlement
D. is responsible only for the settlement of those securities
Answer: C

NEW QUESTION: 3
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 an Amazon Kinesis stream and have the consumers analyze the logs in a live manner.
B. Ship the logs to Amazon CloudWatch Logs and use Amazon EMR to analyze the logs in a batch manner
each hour.
C. Ship the logs to Amazon S3 for durability and use Amazon EMR to analyze the logs in a batch manner
each hour.
D. Ship the logs to a large Amazon EC2 instance and analyze the logs in a live manner.
Answer: A
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