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NEW QUESTION: 1
You have a large number of web servers in an Auto Scaling group behind a load balancer. On an hourly basis, you want to filter and process the logs to collect data on unique visitors, and then put that data in a durable data store in order to run reports. Web servers in the Auto Scaling group are constantly launching and terminating based on your scaling policies, but you do not want to lose any of the log data from these servers during a stop/termination initiated by a user or by Auto Scaling.
What two approaches will meet these requirements?
Choose 2 answers
A. On the web servers, create a scheduled task that executes a script to rotate and transmit the logs to an Amazon S3 bucket. Ensure that the operating system shutdown process triggers a logs transmission when the Amazon EC2 instance is stopped/terminated. Use AWS Data Pipeline to move log data from the Amazon S3 bucket to Amazon Redshift in order to process and run reports every hour
B. On the web servers, create a scheduled task that executes a script to rotate and transmit the logs to Amazon Glacier. Ensure that the operating system shutdown procedure triggers a logs transmission when the Amazon EC2 instance is stopped/terminated. Use Amazon Data pipeline to process data in Amazon Glacier and run reports every hour
C. Install an Amazon CloudWatch Logs Agent on every web server during the bootstrap process.
Create a CloudWatch log group and define metric Filters to create custom metrics that track unique visitors from the streaming web server logs. Create a scheduled task on an Amazon EC2 instance that runs every hour to generate a new report based on the CloudWatch custom metrics
D. Install an AWS Data Pipeline Logs Agent on every web server during the bootstrap process. Create a log group object in AWS Data Pipeline, and define Metric filters to move processed log data directly from the web servers to Amazon Redshift and runs reports every hour
Answer: A,C

NEW QUESTION: 2
HOTSPOT


Answer:
Explanation:

NEW QUESTION: 3
Which of the following is a management role, versus a technical role, as it pertains to data management and oversight?
A. Data owner
B. Data processor
C. Data custodian
D. Database administrator
Answer: A
Explanation:
Data owner is a management role that's responsible for all aspects of how data is used and protected. The database administrator, data custodian, and data processor are all technical roles that involve the actual use and consumption of data, or the implementation of security controls and policies with the data.