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AWS-SysOps PDF DEMO:
QUESTION NO: 1
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: 2
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: 3
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: 4
An organization is generating digital policy files which are required by the admins for verification. Once the files are verified they may not be required in the future unless there is some compliance issue. If the organization wants to save them in a cost effective way, which is the best possible solution?
A. AWS RDS
B. AWS Glacier
C. AWS S3
D. AWS RRS
Answer: B
Explanation
Amazon S3 stores objects according to their storage class. There are three major storage classes:
Standard, Reduced Redundancy and Glacier. Standard is for AWS S3 and provides very high durability.
However, the costs are a little higher. Reduced redundancy is for less critical files. Glacier is for archival and the files which are accessed infrequently. It is an extremely low-cost storage service that provides secure and durable storage for data archiving and backup.
QUESTION NO: 5
A SysOps Administrator implemented the following bucket policy to allow only the corporate
IP address range of 54 240 143 0/24 to access objects in an Amazon S3 bucket.
Some employees are reporting that they are able 1o access the S3 bucket from IP addresses outside the corporate IP address range How can the Administrator address this issue?
A. Modify the 1AM policy instead of the bucket policy to restrict users from accessing the bucket based on their source IP addresses
B. Modify the Condition element from the 1AM policy to aws :StringEquals instead of aws :SourceIp.
C. Change Effect from Allow to Deny in the second statement of the policy to deny requests not from the source IP range
D. Modify the condition operator to include both NotlpAddress and ipAddress to prevent unauthorized access to the S3 bucket
Answer: C
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Updated: May 27, 2022