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NEW QUESTION: 1
A. Option B
B. Option A
C. Option D
D. Option C
Answer: C,D
NEW QUESTION: 2
A. Option B
B. Option A
C. Option D
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
NEW QUESTION: 3
Data masking can be used to provide all of the following functionality, except:
A. Test data in sandboxed environments
B. Enforcing least privilege
C. Authentication of privileged users
D. Secure remote access
Answer: C
Explanation:
Explanation
Data masking does not support authentication in any way. All the others are excellent use cases for data masking.
