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NEW QUESTION: 1
A database administrator is operating a virtual machine (VM) configured with 16 vCPU and 64GB of RAM. A recent performance audit has indicated that this virtual machine is oversized and is using less than 60% of its configured CPU and memory capacity.
* The ESXi host that contains this VM has 2 physical processors with 10 cores per processor, and 128GB of RAM.
* This physical host's architecture is split into two equal NUMA nodes.
Which vCPU and RAM configuration for the VM allows for the most resources, but also provides the performance benefit of local NUMA access?
A. 16 vCPU and 32GB RAM
B. 12 vCPU and 64GB RAM
C. 4 vCPU and 16GB RAM
D. 10 vCPU and 64GB RAM
Answer: D
Explanation:
Explanation
128/20=6.4*10=64 (10vCPU and 64GB)
http://www.techspresso.com/vm-sizing-best-practices-in-vsphere/
https://blogs.vmware.com/performance/2017/03/virtual-machine-vcpu-and-vnuma-rightsizing-rules-of-thumb.htm

NEW QUESTION: 2
Which HP ALM entities must toe defined for Project Planning and Tracking?
A. Only Release and KPIs
B. Release, Milestones, KPIs, and Requirements
C. Release, Milestones, KPIs, and Scope Items
D. Only Milestones, KPIs, and Scope Items
Answer: C

NEW QUESTION: 3
Azure Machine Learning Studioでイメージ分類モデルを作成します。
モデルをコンテナー化されたWebサービスとしてデプロイする必要があります。
どの4つのアクションを順番に実行する必要がありますか？回答するには、適切なアクションをアクションのリストから回答エリアに移動し、正しい順序に並べます。

Answer:
Explanation:

Explanation

The following diagram illustrates the complete deployment workflow:
The deployment workflow includes the following steps:
* Register the model in a registry hosted in your Azure Machine Learning Service workspace
* Register an image that pairs a model with a scoring script and dependencies in a portable container
* Deploy the image as a web service in the cloud or to edge devices
* Monitor and collect data
* Update a deployment to use a new image.
References:
https://docs.microsoft.com/bs-latn-ba/azure/machine-learning/service/concept-model-management-and-deploym