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NEW QUESTION: 1
You develop and train a machine learning model to predict fraudulent transactions for a hotel booking website.
Traffic to the site varies considerably. The site experiences heavy traffic on Monday and Friday and much lower traffic on other days. Holidays are also high web traffic days. You need to deploy the model as an Azure Machine Learning real-time web service endpoint on compute that can dynamically scale up and down to support demand. Which deployment compute option should you use?
A. Azure Kubernetes Service (AKS) inference cluster
B. attached Azure Databricks cluster
C. Azure Container Instance (ACI)
D. attached virtual machine in a different region
E. Azure Machine Learning Compute Instance
Answer: E
Explanation:
Azure Machine Learning compute cluster is a managed-compute infrastructure that allows you to easily create a single or multi-node compute. The compute is created within your workspace region as a resource that can be shared with other users in your workspace. The compute scales up automatically when a job is submitted, and can be put in an Azure Virtual Network.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-create-attach-compute-sdk
NEW QUESTION: 2
ネットワークにActive Directoryドメインが含まれています。ドメインには、Windows 10を実行するComputer1という名前のコンピューターが含まれています。ドメインには、次の表に示すユーザーが含まれています。
コンピューターには、次の表に示す共有フォルダーが含まれています。
共有フォルダには、次の表に示す権限があります。
次の各ステートメントについて、ステートメントがtrueの場合は[はい]を選択します。それ以外の場合は「いいえ」を選択します。
注：それぞれの正しい選択は1ポイントの価値があります。
Answer:
Explanation:
Explanation
NEW QUESTION: 3
What mechanism does the Linux operating system provide to control access to files?
A. access complexity
B. file permissions
C. privileges required
D. user interaction
Answer: B