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NEW QUESTION: 1
Recently your e-commerce web application has been receiving significantly more traffic than usual. Users are reporting they often encounter a 903 i when trying to access your site. Sometimes the site is very slow.
You check your instance pool configuration to confirm that the maximum number of instances Is configured to allow 20 compute instances. Currently 14 compute instances have been provisioned by the Instance pool. You also confirm that current CPU utilization across all hosts exceeds the scale- threshold you set in your auto-scaling policy. However, the Instance pool is not provisioning any new instances.
What can you check to determine why the application is NOT functioning properly?
A. Verify that the compute resource quota has not been exceeded.
B. Verify that the new offer feature code did not introduce any performance bugs.
C. Verify that the Quality Assurance team is not currently performing load-testing against production.
D. Verify that the database is accessible.
Answer: A
Explanation:
Explanation
The instance pool supports the maximum number of instances that you want to scale to. This limit is determined by your tenancy's service limits.
it might be because the number of instances that were requested has exceeded your tenancy's service limits for that shape and availability domain.
Also, In a high availability scenario, you can require that the instances in a pool are evenly distributed across each of the fault domains that you specify. When sufficient capacity isn't available in one of the fault domains, the instance pool will not launch or scale successfully
NEW QUESTION: 2
A manufacturing company captures data from machines running at customer sites. Currently, thousands of
machines send data every 5 minutes, and this is expected to grow to hundreds of thousands of machines in the
near future. The data is logged with the intent to be analyzed in the future as needed.
What is the SIMPLEST method to store this streaming data at scale?
A. Create an Auto Scaling group of Amazon EC2 servers behind ELBs to write the data into Amazon RDS.
B. Create an Amazon EC2 server farm behind an ELB to store the data in Amazon EBS Cold HDD
volumes.
C. Create an Amazon SQS queue, and have the machines write to the queue.
D. Create an Amazon Kinesis Firehouse delivery stream to store the data in Amazon S3.
Answer: A
NEW QUESTION: 3
DRAG DROP
Drag and drop the MPLS term on the left to the function it performs on the right.
Answer:
Explanation: