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NEW QUESTION: 1
セキュリティとコンプライアンスの管理センターから、Policy1という名前の保持ポリシーを作成します。
すべてのユーザーがポリシーを無効にしたり、保持期間を短縮したりしないようにする必要があります。
どのコマンドを実行する必要がありますか？回答するには、回答エリアで適切なオプションを選択します。
注：それぞれの正しい選択には1ポイントの価値があります。
Answer:
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/powershell/module/exchange/policy-and-compliance-retention/set-retentioncom
NEW QUESTION: 2
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: No
Azure Advisor does not generate a list of virtual machines that ARE protected by Azure Backup. Azure Advisor does however, generate a list of virtual that ARE NOT protected by Azure Backup. You can view a list of virtual machines that are protected by Azure Backup by viewing the Protected Items in the Azure Recovery Services Vault.
Box 2: No
If you implement the security recommendations, you company's score will increase, not decrease.
Box 3: No
There is no requirement to implement the security recommendations provided by Azure Advisor. The recommendations are just that, 'recommendations'. They are not 'requirements'.
References:
https://azure.microsoft.com/en-gb/blog/advisor-backup-recommendations/
https://docs.microsoft.com/en-us/azure/advisor/advisor-overview
https://microsoft.github.io/AzureTipsAndTricks/blog/tip173.html
NEW QUESTION: 3
Your company has thousands of Internet-connected sensors.
You need to recommend a computing solution to perform a real-time analysis of the data generated by the sensors.
Which computing solution should you include in the recommendation?
A. Microsoft Azure Notification Hubs
B. Microsoft Azure Stream Analytics
C. a Microsoft Azure HDInsight HBase cluster
D. Microsoft Azure Cognitive Services
Answer: C
Explanation:
Explanation
HDInsight HBase is offered as a managed cluster that is integrated into the Azure environment. The clusters are configured to store data directly in Azure Storage or Azure Data Lake Store, which provides low latency and increased elasticity in performance and cost choices. This enables customers to build interactive websites that work with large datasets, to build services that store sensor and telemetry data from millions of end points, and to analyze this data with Hadoop jobs. HBase and Hadoop are good starting points for big data project in Azure; in particular, they can enable real-time applications to work with large datasets.