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NEW QUESTION: 1

A. Option B
B. Option D
C. Option C
D. Option A
Answer: C,D
Explanation:
Explanation
You can use the Cloud Watch Logs agent installer on an existing CC2 instance to install and configure the Cloud Watch Logs agent.
For more information, please visit the below link:
* http://docs.aws.amazon.com/AmazonCloudWatch/latest/logs/QuickStartCC2lnstance.html
You can publish your own metrics to Cloud Watch using the AWS CLI or an API. For more information, please visit the below link:
* http://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/publishingMetrics.htmI
Amazon Redshift is a fast, fully managed data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing Business Intelligence (Bl) tools. It allows you to run complex analytic queries against petabytes of structured data, using sophisticated query optimization, columnar storage on high-performance local disks, and massively parallel query execution. Most results come back in seconds.
For more information on copying data from S3 to redshift, please refer to the below link:
* http://docs.aws.amazon.com/datapipeline/latest/DeveloperGuide/dp-copydata-redshifthtml

NEW QUESTION: 2
Performance and accounting management are similar because both are interested in collecting usage data from the network. How do they differ?
A. Performance management data is collected in real time, whereas accounting data is collected by using batch processing during set time intervals.
B. Performance management uses the data for statistical purposes, whereas accounting management uses the data for billing.
C. Performance management data requires aggregation, whereas accounting management data uses device statistics.
D. Performance management data is used to measure network reliability, whereas accounting management data is used to measure network response time.
E. Performance management data is collected by using a connection-oriented protocol so that data is not lost, whereas accounting data uses connectionless protocols because missed information can be synchronized later.
Answer: B

NEW QUESTION: 3

Stream<List<String>> iStr= Stream.of ( Arrays.asList ("1", "John"),
Arrays.asList ("2", null)0;
Stream<<String> nInSt = iStr.flatMapToInt ((x) -> x.stream ());
nInSt.forEach (System.out :: print);

A. Option A
B. Option B
C. Option D
D. Option C
Answer: C