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NEW QUESTION: 1
Huawei NE Router rank No. 2 in Global Markets in 2015.
A. TRUE
B. FALSE
Answer: A
NEW QUESTION: 2
顧客のアップロードバッチはエラーで完了し、誤った支払い方法が原因であるとエラーを特定します。
問題を解決するには、どのアクションを実行する必要がありますか？
A. エラーを修正して、バッチを再送信します。
B. 顧客データ例外のスプレッドシートを使用します。
C. 顧客の支払い方法の例外のスプレッドシートを使用します。
D. [顧客の管理]ページでトラブルシューティングします。
Answer: C
NEW QUESTION: 3
An organization creates and deploys a multi-class image classification deep learning model that uses a set of labeled photographs.
The software engineering team reports there is a heavy inferencing load for the prediction web services during the summer. The production web service for the model fails to meet demand despite having a fully-utilized compute cluster where the web service is deployed.
You need to improve performance of the image classification web service with minimal downtime and minimal administrative effort.
What should you advise the IT Operations team to do?
A. Increase the node count of the compute cluster where the web service is deployed.
B. Increase the VM size of nodes in the compute cluster where the web service is deployed.
C. Create a new compute cluster by using larger VM sizes for the nodes, redeploy the web service to that cluster, and update the DNS registration for the service endpoint to point to the new cluster.
D. Increase the minimum node count of the compute cluster where the web service is deployed.
Answer: A
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
NEW QUESTION: 4
Amazon Relational Database Service (Amazon RDS) offers which of the following benefits over traditional database management?
A. AWS manages the maintenance of the operating system.
B. AWS manages the data stored in Amazon RDS tables.
C. AWS manages the database type.
D. AWS automatically scales up instance types on demand.
Answer: D
Explanation:
RDS lowers administrative burden through automatic software patching and maintenance of the underlying operating system and secondly, you still have to manually upgrade the underlying instance type of your database cluster in order to scale it up.