SOA-C02-2 SysOps Administrator Associate - Extended Practice Questions

C--Explanation:
When the EC2 instance is launched from an instance store backed AMI, it will not allow the user to configure the shutdown behavior to “Stop”. It gives a warning that the instance does not have the EBS root volume.

B--Explanation:
Amazon RDS provides high availability and failover support for DB instances using Multi AZ deployments. In a Multi AZ deployment, Amazon RDS automatically provisions and maintains a synchronous standby replica in a different Availability Zone. Multi AZ deployments for Oracle, PostgreSQL, and MySQL DB instances use Amazon technology, while SQL Server (MS SQL. DB instances use SQL Server Mirroring.

B--Explanation:
Amazon RDS provides Amazon CloudWatch metrics for you DB Instance deployments at no additional charge. You can use the AWS Management Console to view key operational metrics for your DB Instance deployments, including compute/memory/storage capacity utilization, I/O activity, and DB Instance connections.--
Reference: https://aws.amazon.com/rds/postgresql/

B--Explanation:
When rebalancing, Auto Scaling launches new instances before terminating the old ones, so that rebalancing does not compromise the performance or availability of your application. Because Auto Scaling attempts to launch new instances before terminating the old ones, being at or near the specified maximum capacity could impede or completely halt rebalancing activities. To avoid this problem, the system can temporarily exceed the specified maximum capacity of a group by a 10 percent margin (or by a 1-instance margin, whichever is greater) during a rebalancing activity.--
Reference:
http://docs.aws.amazon.com/autoscaling/latest/userguide/auto-scaling-benefits.html

C--Explanation:
AWS CloudWatch supports the custom metrics. The user can always capture the custom data and upload the data to CloudWatch using CLI or APIs. The user can publish data to CloudWatch as single data points or as an aggregated set of data points called a statistic set using the command put-metric-data. It is recommended that when the user is having multiple data points per minute, he should aggregate the data so that it will minimize the number of calls to put-metric-data. In this case it will be single call to CloudWatch instead of 1000 calls if the data is aggregated.

C--Explanation:
The metric PutRecord.Latency measures the time taken per PutRecord operation, measured over the specified time period.
Dimensions: StreamName Statistics: Minimum, Maximum, Average Units: Milliseconds --Reference:
http://docs.aws.amazon.com/kinesis/latest/dev/monitoring with cloudwatch.html

A--Explanation:
To keep a backup copy of your data, you can create a snapshot of an EBS volume, which is stored in Amazon S3. You can create an EBS volume from a snapshot, and attach it to another instance.--
Reference: http://docs.amazonwebservices.com/AWSEC2/latest/UserGuide/Storage.html

A--Reference: https://aws.amazon.com/ebs/features/

A--Explanation:
Amazon SNS can deliver notifications by SMS text message or email to the Amazon Simple Queue Service (SQS) queues or to any HTTP endpoint. The user can configure a web service (HTTP End point) in his data center which receives data and launches an instance in the private cloud. The user should configure the CloudWatch alarm to send a notification to SNS when the “StatusCheckFailed” metric is true for the EC2 instance. The SNS topic can be configured to send a notification to the user’s HTTP endpoint which launches an instance in the private cloud.

C--Explanation:
With AWS 1AM, a group is a collection of 1AM users. A group allows the user to specify permissions for a collection of users, which can make it easier to manage the permissions for those users. A group helps an organization manage access in a better way; instead of applying at the individual level, the organization can apply at the group level which is applicable to all the users who are a part of that group.