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QUESTION NO: 1
A user is trying to aggregate all the CloudWatch metric data of the last 1 week. Which of the below mentioned statistics is not available for the user as a part of data aggregation?
A. Sample data
B. Sum
C. Average
D. Aggregate
Answer: D
Explanation
Amazon CloudWatch is basically a metrics repository. Either the user can send the custom data or an
AWS product can put metrics into the repository, and the user can retrieve the statistics based on those metrics. The statistics are metric data aggregations over specified periods of time. Aggregations are made using the namespace, metric name, dimensions, and the data point unit of measure, within the time period that is specified by the user. CloudWatch supports Sum, Min, Max, Sample Data and
Average statistics aggregation.

QUESTION NO: 2
A user is having data generated randomly based on a certain event. The user wants to upload that data to CloudWatch. It may happen that event may not have data generated for some period due to randomness.
Which of the below mentioned options is a recommended option for this case?
A. The user must upload the data to CloudWatch as having no data for some period will cause an error at CloudWatch monitoring
B. For the period when there is no data the user should send a blank value
C. For the period when there is no data the user should send the value as 0
D. For the period when there is no data, the user should not send the data at all
Answer: 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. When the user data is more random and not generated at regular intervals, there can be a period which has no associated data. The user can either publish the zero (0. Value for that period or not publish the data at all. It is recommended that the user should publish zero instead of no value to monitor the health of the application. This is helpful in an alarm as well as in the generation of the sample data count.

QUESTION NO: 3
Which of the following statements about this S3 bucket policy is true?
A. Denies the server with the IP address 192.166 100.0 full access to the "mybucket" bucket
B. Grants all the servers within the 192 168 100 0/24 subnet full access to the "mybucket" bucket
C. Denies the server with the IP address 192.166 100.188 full access to the "mybucket bucket
D. Grants all the servers within the 192 168 100 188/32 subnet full access to the "mybucket" bucket
Answer: B

QUESTION NO: 4
The billing process for Amazon EC2 instances was updated as of October 2, 2017. Which of the following statements is true regarding how you pay for Amazon EC2 instances? (Choose two.)
A. Payment does not vary based on the instance AMI's operating system.
B. You can pay per hour or per second, depending on the instance type.
C. You pay for compute capacity by the day; hours are billed in proportion.
D. You can pay per hour or per second, depending on the instance AMI's operating system.
Answer: B,D
Explanation
Previously, if you launched an instance for 5 minutes, you would pay for 1 hour. If you launched an instance for 45 minutes, you would also pay for 1 hour. This means that partial hours cost as much as one full hour.
Pricing is per instance-hour consumed for each instance, from the time an instance is launched until it is terminated or stopped. Each partial instance-hour consumed will be billed as a full hour.
With EC2 services now billed per-second in some cases, as well as per-hour in others as of October 2,
2017, there is more to consider. Amazon AWS is still based on the concept of pay-as-you-go. You pay
Amazon EC2 instances by the second for all instance types except Dedicated Host, which is still billed per instance-hour.
You are billed per second when using Linux operating systems with no separate hourly charge, and billed per hour when using Windows operating systems.
References:

QUESTION NO: 5
What does Amazon RDS perform?
A. It tests the functionalities in websites.
B. It provides sensory feedback.
C. It blocks users from creating DB instances.
D. It manages the work involved in setting up a relational database.
Answer: D
Explanation
Amazon RDS manages the work involved in setting up a relational database: from provisioning the infrastructure capacity you request to installing the database software.
References:

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Updated: May 27, 2022