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NEW QUESTION: 1
The nurse recognizes that a client with the diagnosis of cholecystitis and cholelithiasis would expect to have stools that are:
A. Watery and loose
B. Clay or gray colored
C. Bright-red streaked
D. Black
Answer: B
Explanation:
Explanation/Reference:
Explanation:
(A) Clients who have obstruction in the biliary tract so that bile is not released into the duodenum experience a change in stools from brown to gray or clay colored. (B) This type of stool can occur with other GI problems, such as bacterial or viral infections, and other disease problems, and is not a common finding with biliary obstructions such as cholecystitis and cholelithiasis. (C) This type of stool is usually associated with a GI or bowel problem, such as lower GI bleeding, rather than with biliary obstructions. (D) This type of stool is usually associated with a GI or bowel problem, such as upper GI bleeding, rather than with biliary obstructions.

NEW QUESTION: 2
Which dimension includes the knowledge needed for the management of services?
A. Partners and suppliers
B. Organizations and people
C. Information and technology
D. Value streams and processes
Answer: C

NEW QUESTION: 3
Your application's Auto Scaling Group scales up too quickly, too much, and stays scaled when traffic
decreases. What should you do to fix this?
A. Calculate the bottleneck or constraint on the compute layer, then select that as the new metric, and set
the metric thresholds to the bounding values that begin to affect response latency.
B. Raise the CloudWatch Alarms threshold associated with your autoscaling group, so the scaling takes
more of an increase in demand before beginning.
C. Set a longer cooldown period on the Group, so the system stops overshooting the target capacity. The
issue is that the scaling system doesn't allow enough time for new instances to begin servicing requests
before measuring aggregate load again.
D. Use larger instances instead of lots of smaller ones, so the Group stops scaling out so much and wasting
resources as the OS level, since the OS uses a higher proportion of resources on smaller instances.
Answer: A
Explanation:
Explanation
The ideal case is that the right metric is not being used for the scale up and down.
Option A is not valid because it mentions that the cooldown is not happening when the traffic decreases, that
means the metric threshold for the scale down is not occurring in Cloudwatch
Option C is not valid because increasing the Cloudwatch alarm metric will not ensure that the instances scale
down when the traffic decreases.
Option D is not valid because the question does not mention any constraints that points to the instance size.
For an example on using custom metrics for scaling in and out, please follow the below link for a use case.
* https://blog.powerupcloud.com/aws-autoscaling-based-on-database-query-custom-metrics-f396c16e5e6a