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NEW QUESTION: 1
単一のメトリックスを監視するCloudWatchアラームを作成できます。アラームは、多数の期間にわたってしきい値に対するメトリックの値に基づいて1つ以上のアクションを実行します。 CloudWatchアラームで可能な状態は次のうちどれですか？
A. THRESHOLD
B. OK
C. ERROR
D. ALERT
Answer: B
Explanation:
説明
単一のメトリックスを監視するCloudWatchアラームを作成できます。アラームは、多数の期間にわたってしきい値に対するメトリックの値に基づいて1つ以上のアクションを実行します。アクションは、Amazon EC2アクション、Auto Scalingアクション、またはAmazon SNSトピックに送信される通知です。
アラームには次の3つの状態があります。
OK-メトリックは定義されたしきい値内です
アラーム-メトリックは定義されたしきい値を超えています
INSUFFICIENT_DATA-アラームが開始されたばかりであるか、メトリックが利用できないか、メトリックがアラーム状態を判断するのに十分なデータが利用できない
NEW QUESTION: 2
Sie haben einen Hyper-V-Failover-Cluster, der drei Knoten enthält. Virtuelle Maschinen werden gleichmäßig auf die Clusterknoten verteilt.
Sie müssen sicherstellen, dass die virtuellen Maschinen auf dem Knoten nach einer Minute auf einen der verbleibenden Knoten übertragen werden, wenn ein Knoten die Konnektivität zu den anderen Knoten verliert.
Welche Einstellungen sollten Sie ändern?
A. ResiliencyPeriod und ResiliencyLevel
B. SameSubnetDelay und CrossSubnetDelay
C. QuarantineDuration und QuarantineThreshold
D. QuorumArbitrationTimeMax und RequestReplyTimeout
Answer: A
Explanation:
Erläuterung
Verweise:
https://blogs.msdn.microsoft.com/clustering/2015/06/03/virtual-machine-compute-resiliency-in-windows-server-
NEW QUESTION: 3
A technician is configuring a student laptop, and the network administrator requires it to be statically configured. The technician successfully pings the servers by IP but cannot ping by UNC Which of the following is MOST likely the issue?
A. DNS
B. DHCP
C. Gateway
D. IP address
Answer: A
NEW QUESTION: 4
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 Machine Learning Compute Instance
B. attached Azure Databricks cluster
C. Azure Container Instance (ACI)
D. attached virtual machine in a different region
E. Azure Kubernetes Service (AKS) inference cluster
Answer: A
Explanation:
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