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NEW QUESTION: 1
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a Microsoft 365 subscription.
SharePoint administrators open several Microsoft support tickets.
You need to view the status of the support tickets.
Solution: From the Microsoft 365 admin center, you select Support, and then you select View Service requests.
Does this meet the goal?
A. No
B. Yes
Answer: B
Explanation:
Explanation/Reference:
Explanation:
On the Service requests page you can view the status of any service requests that you have filed on your clients' behalf. You can also search for them by supplying a reference number, or by the company name.
References:
https://support.office.com/en-us/article/tour-of-the-office-365-partner-admin-center-preview-2b781cc2- e5d7-4eef-b21d-143775f01b5d
NEW QUESTION: 2
通信会社は、顧客の解約を予測する必要があります(つまり、顧客がコンピューターを切り替えることを決定します)。同社には、毎月の消費パターン、顧客サービスへの電話、顧客が最終的にサービスを終了したかどうかなど、各顧客の履歴記録があります。このデータはすべてAmazon S3に保存されます。会社は、忠誠心を取り戻すために、どの顧客がすぐに解約する可能性があるかを知る必要があります。
これらの要件を満たす最適なアプローチは何ですか?
A. Amazon Machine Learningサービスを使用して、Amazon S3に保存されているデータセットに基づいてバイナリ分類モデルを構築します。モデルは、既存の顧客の解約属性を予測するために定期的に使用されます
B. EMRを使用してHiveクエリを実行し、顧客のプロファイルを作成します。プロファイルを既存の顧客に適用して、解約の可能性を判断する
C. AWS QuickSightを使用してAmazon S3に保存されたデータに接続し、必要なビジネス洞察を取得します。解約傾向グラフをプロットして、既存の顧客の解約可能性を推定します
D. Redshiftクラスターを使用して、Amazon S3からデータをコピーします。解約の可能性をコンピューター化するユーザー定義関数をRedshiftで作成する
Answer: A
Explanation:
説明
https://aws.amazon.com/blogs/machine-learning/predicting-customer-churn-with-amazon-machine-learning/
NEW QUESTION: 3
プロジェクト管理で調整する目的は何ですか?
A. プロジェクトに適切なプロセス、ツール、方法論を選択する
B. アジャイルプラクティスがプロジェクトフェーズに確実に組み込まれるようにするため
C. プロジェクトに適したチームとその能力を選択する
D. プロジェクト管理が効率的に行われることを経営陣に知らせるため
Answer: A
NEW QUESTION: 4
A. Option B
B. Option C
C. Option A
D. Option D
Answer: A