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NEW QUESTION: 1
Marion has been hired by a popular national salon business to refresh its existing Web site and update it to valid HTML5 code. Money is not an issue, but time is. Marion is asked to complete the project with in eight weeks. The site currently includes 10 pages and connects to a back-end database so that customers can sign in for a personalized experience. Marion suspects that most of the existing code will need to be replaced. Marion must ensure that she has plenty of time for the testing phase, so she needs to complete the planning phase, in which she selects the multimedia for the site, within the next couple days. Which strategy should Marion use in the planning phase?
A. Hire a photographer to take pictures of the salons.
B. Edit existing images of the salons to update them.
C. Take pictures of the salons herself.
D. Purchase stock photos from online resources.
Answer: D

NEW QUESTION: 2
The administrator at Company X is getting user reports of inconsistent quality on video calls between endpoints registered to Cisco Unified Communications Manager. The administrator runs a wire trace while a video call is taking place and sees that the packets are not set to AF41 for desktop video as they should be.
Where should the administrator look next to confirm that the correct DSCP markings are being set?
A. on the actual Cisco phone itself because the DSCP setting is not part of its configuration file downloaded at registration
B. The setting cannot be changed for video endpoints that are registered to Cisco Unified Communications Manager, but only when they are registered to the VCS Control.
C. the QoS service parameter in Cisco Unified Communications Manager
D. the service parameters in the VCS Control
E. on the MGCP router at the edge of both networks
Answer: C

NEW QUESTION: 3
組織は、ラベル付きの写真のセットを使用するマルチクラスの画像分類ディープラーニングモデルを作成して展開します。
ソフトウェアエンジニアリングチームは、夏の間、予測Webサービスの推論負荷が大きいと報告しています。モデルの本番ウェブサービスは、ウェブサービスがデプロイされている完全に活用された計算クラスターがあるにもかかわらず、需要を満たすことができません。
最小限のダウンタイムと最小限の管理作業で、画像分類Webサービスのパフォーマンスを改善する必要があります。
IT運用チームに何をするようにアドバイスすべきですか？
A. Webサービスがデプロイされている計算クラスターのノード数を増やします。
B. Webサービスがデプロイされている計算クラスター内のノードのVMサイズを増やします。
C. Webサービスがデプロイされている計算クラスターの最小ノード数を増やします。
D. ノードに大きなVMサイズを使用して新しい計算クラスターを作成し、Webサービスをそのクラスターに再デプロイして、新しいクラスターを指すようにサービスエンドポイントのDNS登録を更新します。
Answer: A
Explanation:
Explanation
The Azure Machine Learning SDK does not provide support scaling an AKS cluster. To scale the nodes in the cluster, use the UI for your AKS cluster in the Azure Machine Learning studio. You can only change the node count, not the VM size of the cluster.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-create-attach-kubernetes