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NEW QUESTION: 1
Microsoft Azure SQL Databaseの新しい単一のデータベースインスタンスを作成する予定です。
データベースは、データエンジニアのワークステーションからの通信のみを許可する必要があります。 Microsoft SQL Server Management Studioを使用して、インスタンスに直接接続する必要があります。
データベースを作成および構成する必要があります。ソリューションを開発するには、どの3つのAzure PowerShellコマンドレットを使用する必要がありますか？回答するには、適切なコマンドレットをコマンドレットのリストから回答領域に移動し、正しい順序に並べます。
Answer:
Explanation:
Explanation
Step 1: New-AzureSqlServer
Create a server.
Step 2: New-AzureRmSqlServerFirewallRule
New-AzureRmSqlServerFirewallRule creates a firewall rule for a SQL Database server.
Can be used to create a server firewall rule that allows access from the specified IP range.
Step 3: New-AzureRmSqlDatabase
Example: Create a database on a specified server
PS C:\>New-AzureRmSqlDatabase -ResourceGroupName "ResourceGroup01" -ServerName "Server01"
-DatabaseName "Database01
References:
https://docs.microsoft.com/en-us/azure/sql-database/scripts/sql-database-create-and-configure-database-powersh
NEW QUESTION: 2
EIGRPを実行しているルータは、2つの異なるパスから同じルートを学習しました。ルータは、最適なパスを選択するためにどのパラメータを使用しますか。
A. メトリック
B. 管理距離
C. as-path
D. コスト
Answer: A
Explanation:
If a router learns two different paths for the same network from the same routing protocol, it has to decide which route is better and will be placed in the routing table. Metric is the measure used to decide which route is better (lower number is better). Each routing protocol uses its own metric. For example, RIP uses hop counts as a metric, while OSPF uses cost.
https://study-ccna.com/administrative-distance-metric/
NEW QUESTION: 3
Which HP StorageWorks software utility can be used to analyze. Your customer's current SAN environment and produce an accurate topology diagram?
A. SAN Designer tool
B. SAN Visibility tool
C. SAN Sizing tool
D. SAN Analysis tool
Answer: B
NEW QUESTION: 4
Azure Kubernetes Service（AKS）クラスターを使用するいくつかのAIアプリケーションがあります。クラスターは最大32ノードをサポートします。
時折、予想外に、アプリケーションには32を超えるノードが必要であることがわかります。
予測できないアプリケーション負荷を処理するソリューションを推奨する必要があります。
どのスケーリング方法をお勧めしますか？
A. Azure Container Instances
B. 水平ポッドオートスケーラー
C. クラスターオートスケーラー
D. 手動スケーリング
Answer: C
Explanation:
Explanation
To keep up with application demands in Azure Kubernetes Service (AKS), you may need to adjust the number of nodes that run your workloads. The cluster autoscaler component can watch for pods in your cluster that can't be scheduled because of resource constraints. When issues are detected, the number of nodes is increased to meet the application demand. Nodes are also regularly checked for a lack of running pods, with the number of nodes then decreased as needed. This ability to automatically scale up or down the number of nodes in your AKS cluster lets you run an efficient, cost-effective cluster.
References:
https://docs.microsoft.com/en-us/azure/aks/cluster-autoscaler