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NEW QUESTION: 1
Users are reporting CPU related performance problems on the virtual machine Email-Prod throughout the day.
The resource settings for the VM and the ESXi host the VM is running on are shown below:
VM:
Email-Prod
vCPUs: 4
Memory: 96GB
ESXi host:
CPU: 2 x 8 Core Processors
Memory: 128GB
NUMA architecturE. 2 Nodes
Which two options would alleviate the observed performance problem for Email-Prod? (Choose two.)
A. Enable CPU affinity to bind all vCPUs to one NUMA node.
B. Enable the advanced parameter Numa.AutoMemAffinity.
C. Enable CPU affinity to separate 2 vCPUs for each NUMA node.
D. Enable the advanced parameter Numa.PageMigEnable.
Answer: B,C
Explanation:
Explanation/Reference:
Explanation: B-) Memory
You can change the amount of RAM that a VM will use like this
memsize = "128"
If you don't assign a value for memory VMware will use the default-setting which is 32MB memsize = "32"
Whenever you assign RAM manually make sure the value is a multiple of 4 - otherwise the VM will not start:
memsize = "255"
causes this error-message:
Memory size 255 not a multiple of 4
https://pubs.vmware.com/vsphere-60/index.jsp#com.vmware.vsphere.hostclient.doc/GUID-99E66B59-
53A8-42D0-A08F-17DBE7D4A864.html?resultof=%2522
C-) This is expected behavior based on the current architecture of the scheduler. However, these points help to limit the impact of the issue :Lower the number of vCPUs.
From the example above, you would lower the number of vCPUs from 8 to 6 or less. If the virtual machines are sized such that they are a whole multiple or divisor of the NUMA node size, this helps with the number of virtual machines that you can power on. If 6 vCPU virtual machines are used, you can run up to at least 8 of those virtual machines (with 100% CPU utilization) without incurring substantial ready times.
https://www.vmware.com/files/pdf/.../VMware-PerfBest-Practices-vSphere6-0.pdf
NEW QUESTION: 2
어느 도구를 사용하여 서버를 설정하거나 관리 할 필요없이 S3의 데이터에 대해 임의 (ad-hoc) 쿼리를 실행하는 가장 쉬운 방법을 제공합니다.
정답을 선택하십시오.
A. 적색 변속
B. 아테나
C. SQS
D. EMR
Answer: B
Explanation:
Query services like Amazon Athena, data warehouses like Amazon Redshift, and sophisticated data processing frameworks like Amazon EMR, all address different needs and use cases. You just need to choose the right tool for the job. Amazon Redshift provides the fastest query performance for enterprise reporting and business intelligence workloads, particularly those involving extremely complex SQL with multiple joins and sub-queries. Amazon EMR makes it simple and cost-effective to run highly distributed processing frameworks such as Hadoop, Spark, and Presto when compared to on-premises deployments. Amazon EMR is flexible ?you can run custom applications and code, and define specific compute, memory, storage, and application parameters to optimize your analytic requirements. Amazon Athena provides the easiest way to run ad-hoc queries for data in S3 without the need to setup or manage any servers Reference:
https://aws.amazon.com/athena/faqs/
NEW QUESTION: 3
Which two processes does Junos automation use? (Choose two.)
A. mgd
B. jsd
C. chassisd
D. dcd
Answer: A,B
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