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NEW QUESTION: 1
What can you use the SAP Cloud SDK CLI for?
Note: There are 3 correct answers to this question.
A. Add the script to set up a CircleCI master for CI/CD of your project
B. Setup your Cloud Foundry app to use a CDS service
C. Generate a GraphQL client from a edmx service file definition
D. Package application files for deployment
E. Setup your Cloud Foundry app to authenticate through the app router
Answer: B,D,E
Explanation:
Explanation/Reference:
See page 95 S4C80 Col17. "Generate a OData..." "Add the script to set up a Jenkins..."
NEW QUESTION: 2
Automatic tasks in all workflow instances are taking too long to be completed, overall CPU consumption is low, and the method_server_enabled value is set to False.
How can application performance be improved?
A. add a new Content Server installation to add a second method server
B. use the method server as an execution agent wherever possible
C. increase the number of wf_agent_worker_threads in the server config object
D. increase the number of method_server_threads in the server.ini configuration file
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. 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.
C. Raise the CloudWatch Alarms threshold associated with your autoscaling group, so the scaling takes more of an increase in demand before beginning.
D. 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.
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
NEW QUESTION: 4
You create a virtual machine scale set named Scale1. Scale1 is configured as shown in the following exhibit.
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
Answer:
Explanation:
Explanation
Box 1:
The Autoscale scale out rule increases the number of VMs by 2 if the CPU threshold is 80% or higher. The initial instance count is 4 and rises to 6 when the 2 extra instances of VMs are added.
Box 2:
The Autoscale scale in rule decreases the number of VMs by 4 if the CPU threshold is 30% or lower. The initial instance count is 4 and thus cannot be reduced to 0 as the minimum instances is set to 2. Instances are only added when the CPU threshold reaches 80%.
References:
https://docs.microsoft.com/en-us/azure/azure-monitor/platform/autoscale-overview
https://docs.microsoft.com/en-us/azure/azure-monitor/platform/autoscale-best-practices
https://docs.microsoft.com/en-us/azure/azure-monitor/platform/autoscale-common-scale-patterns