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NEW QUESTION 50
A large financial firm in the country has an AWS environment that contains several Reserved EC2 instances hosting a web application that has been decommissioned last week. To save costs, you need to stop incurring charges for the Reserved instances as soon as possible.
What cost-effective steps will you take in this circumstance? (Select TWO.)
Answer: B,C
Explanation:
The Reserved Instance Marketplace is a platform that supports the sale of third-party and AWS customers' unused Standard Reserved Instances, which vary in terms of lengths and pricing options. For example, you may want to sell Reserved Instances after moving instances to a new AWS region, changing to a new instance type, ending projects before the term expiration, when your business needs change, or if you have unneeded capacity.
Hence, the correct answers are:
- Go to the AWS Reserved Instance Marketplace and sell the Reserved instances.
- Terminate the Reserved instances as soon as possible to avoid getting billed at the on-demand price when it expires.
Stopping the Reserved instances as soon as possible is incorrect because a stopped instance can still be restarted. Take note that when a Reserved Instance expires, any instances that were covered by the Reserved Instance are billed at the on-demand price which costs significantly higher. Since the application is already decommissioned, there is no point of keeping the unused instances. It is also possible that there are associated Elastic IP addresses, which will incur charges if they are associated with stopped instances Contacting AWS to cancel your AWS subscription is incorrect as you don't need to close down your AWS account.
Going to the Amazon.com online shopping website and selling the Reserved instances is incorrect as you have to use AWS Reserved Instance Marketplace to sell your instances. References:
https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ri-market-general.html
https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ec2-instance-lifecycle.html Check out this Amazon EC2 Cheat Sheet:
https://tutorialsdojo.com/amazon-elastic-compute-cloud-amazon-ec2/
NEW QUESTION 51
A company has a data analytics application that updates a real-time foreign exchange dashboard and another separate application that archives data to Amazon Redshift. Both applications are configured to consume data from the same stream concurrently and independently by using Amazon Kinesis Data Streams. However, they noticed that there are a lot of occurrences where a shard iterator expires unexpectedly. Upon checking, they found out that the DynamoDB table used by Kinesis does not have enough capacity to store the lease data.
Which of the following is the most suitable solution to rectify this issue?
Answer: C
Explanation:
A new shard iterator is returned by every GetRecords request (as NextShardIterator), which you then use in the next GetRecords request (as ShardIterator). Typically, this shard iterator does not expire before you use it. However, you may find that shard iterators expire because you have not called GetRecords for more than 5 minutes or because you've performed a restart of your consumer application.
If the shard iterator expires immediately before you can use it, this might indicate that the DynamoDB table used by Kinesis does not have enough capacity to store the lease data. This situation is more likely to happen if you have a large number of shards. To solve this problem, increase the write capacity assigned to the shard table.
Hence, increasing the write capacity assigned to the shard table is the correct answer. Upgrading the storage capacity of the DynamoDB table is incorrect because DynamoDB is a fully managed service that automatically scales its storage without setting it up manually. The scenario refers to the write capacity of the shard table as it says that the DynamoDB table used by Kinesis does not have enough capacity to store the lease data.
Enabling In-Memory Acceleration with DynamoDB Accelerator (DAX) is incorrect because the DAX feature is primarily used for read performance improvement of your DynamoDB table from milliseconds response time to microseconds. It does not have any relationship with Amazon Kinesis Data Stream in this scenario.
Using Amazon Kinesis Data Analytics to properly support the data analytics application instead of Kinesis Data Stream is incorrect. Although Amazon Kinesis Data Analytics can support a data analytics application, it is still not a suitable solution for this issue. You simply need to increase the write capacity assigned to the shard table in order to rectify the problem, which is why switching to Amazon Kinesis Data Analytics is not necessary.
Explanation:
Reference:
https://docs.aws.amazon.com/streams/latest/dev/kinesis-record-processor-ddb.html
https://docs.aws.amazon.com/streams/latest/dev/troubleshooting-consumers.html Check out this Amazon Kinesis Cheat Sheet:
https://tutorialsdojo.com/amazon-kinesis/
NEW QUESTION 52
An Amazon EC2 administrator created the following policy associated with an IAM group containing several users
What is the effect of this policy?
Answer: A
Explanation:
as the policy prevents anyone from doing any EC2 action on any region except us-east-1 and allows only users with source ip 10.100.100.0/24 to terminate instances. So user with source ip 10.100.100.254 can terminate instances in us-east-1 region.
NEW QUESTION 53
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