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NEW QUESTION: 1
新しいADドメインが、アイデンティティソースとしてvSphereに追加されました。この新しいドメインには、管理者グループと呼ばれるユーザーグループがあります。
vCenter Serverに認証された場合、管理者グループユーザーはデフォルトでどのロールを持っていますか？
A. 暗号管理者なし
B. アクセスなし
C. 管理者
D. 読み取り専用
Answer: B
Explanation:
Explanation
https://docs.vmware.com/en/VMware-vSphere/6.7/com.vmware.vsphere.security.doc/GUID-93B962A7-93FA-4 No Access Role The administrator of the vCenter Single Sign-On domain, [email protected] by default, the root user, and vpxuser are assigned the Administrator role by default. Other users are assigned the No Access role by default.

NEW QUESTION: 2
データベース内のデータを常に更新するリアルタイムアプリケーションがいくつかあります。アプリケーションは毎秒400以上のトランザクションを実行し、センサーからの新しいメトリックを挿入および更新します。
センサーからのデータを表示するための新しいWebダッシュボードがリリースされました。エンジニアは、アプリケーションが更新のコミットに予想以上に時間がかかることを報告しています。
同時実行性を高め、コミットされていないデータの読み取りをサポートするには、ダッシュボードのクエリを変更する必要があります。
あなたは何をするべきか？
A. NOLOCKオプションを使用してください。
B. 出力パラメータを使用します。
C. DBCC UPDATEUSAGE文を実行します。
D. 表変更設定を実行します（Lock_ESCALATION = auto）。ステートメント。
E. SET XACTJVBORTをONに設定します。
F. テーブル値パラメータを使用します。
G. max worker threadsオプションを使用します。
H. SET ALLOW SNAPSHOT ISOLATIONをONに設定します。
Answer: A
Explanation:
Explanation
The NOLOCK hint allows SQL to read data from tables by ignoring any locks and therefore not being blocked by other processes.
This can improve query performance, but also introduces the possibility of dirty reads.

NEW QUESTION: 3
注：この質問は、同じシナリオを提示する一連の質問の一部です。 シリーズの各質問には、記載された目標を達成できる独自の解決策が含まれています。 いくつかの質問セットには1つ以上の正しい解決策があるかもしれないが、他の質問セットには正しい解決策がないかもしれない。
このセクションの質問に答えた後。 あなたはそれに戻ることができません。 その結果、これらの質問はレビュー画面に表示されません。
次のTransact-SQLステートメントを実行して、Productsという名前のテーブルを作成します：

次のストアドプロシージャがあります：

次の新しい要件を満たすストアドプロシージャを変更する必要があります：
- 製品レコードを1つの作業単位として挿入します。
- 製品がデータベースに挿入できなかった場合にエラー番号51000を返します。
- 製品レコード挿入操作が失敗した場合は、製品情報をデータベースに永続的に書き込まないでください。
解決策：次のTransact-SQLステートメントを実行します：

解決策は目標を達成していますか？
A. はい
B. いいえ
Answer: B
Explanation:
Explanation
With X_ABORT ON the INSERT INTO statement and the transaction will be rolled back when an error is raised, it would then not be possible to ROLLBACK it again in the IF XACT_STATE() <> 0 ROLLACK TRANSACTION statement.
Note: A transaction is correctly defined for the INSERT INTO ..VALUES statement, and if there is an error in the transaction it will be caught ant he transaction will be rolled back, finally an error 51000 will be raised.
Note: When SET XACT_ABORT is ON, if a Transact-SQL statement raises a run-time error, the entire transaction is terminated and rolled back.
XACT_STATE is a scalar function that reports the user transaction state of a current running request.
XACT_STATE indicates whether the request has an active user transaction, and whether the transaction is capable of being committed.
The states of XACT_STATE are:
0 There is no active user transaction for the current request.
1 The current request has an active user transaction. The request can perform any actions, including writing data and committing the transaction.
2 The current request has an active user transaction, but an error has occurred that has caused the transaction to be classified as an committable transaction.
References:
https://msdn.microsoft.com/en-us/library/ms188792.aspx
https://msdn.microsoft.com/en-us/library/ms189797.aspx

NEW QUESTION: 4
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this scenario, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have an Azure Storage account that contains 100 GB of files. The files contain text and numerical values.
75% of the rows contain description data that has an average length of 1.1 MB.
You plan to copy the data from the storage account to an Azure SQL data warehouse.
You need to prepare the files to ensure that the data copies quickly.
解決策：ファイルを変更して、各行が1 MB未満になるようにします。
これは目標を達成していますか？
A. Yes
B. No
Answer: A
Explanation:
Explanation
When exporting data into an ORC File Format, you might get Java out-of-memory errors when there are large text columns. To work around this limitation, export only a subset of the columns.
References:
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/guidance-for-loading-data