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NEW QUESTION: 1
The FIRST step in establishing a security governance program is to?
A. Conduct a risk assessment.
B. Obtain senior level sponsorship.
C. Conduct a workshop for all end users.
D. Prepare a security budget.
Answer: B

NEW QUESTION: 2
この演習では、以下の手順を実行するUiPathオートメーションを作成します。
これを実現するには、REFrameWorkを開始テンプレートとして使用し、UiPath開発のベストプラクティスに従います。
ロボットによって実行される手順は次のとおりです。
1.https：//www.acme-test.comにログインします。
2.ランディングページのダッシュボードで、[作業項目]メニュー項目をクリックします。テーブルのすべてのページのデータをページごとにスクレイピングし、エラー処理とリカバリを確実にします。
3.ページごとに：-ステータスが「オープン」であるレコードをフィルタリングします。
-タイプが「WI1」であるレコードをフィルタリングします。
-WIIDが200000より大きいレコードをフィルタリングします。
-結果のデータテーブルをExcelワークシートに追加します。出力ファイルのヘッダーと形式について心配する必要はありません。
REFrameWorkを使用して、開発で従うべき制約：
1.TransactionItemデータ型は文字列である必要があります。 WorkItemsページ間のナビゲーションでエラーが発生した場合、プロセスは回復して再試行する必要があります。 1つのトランザクションは、1つのWebページをスクレイピングするアクションです。次のページに移動すると、次のトランザクションが実行されます。 （UiPathAcademyのACMEProcess 4 Dispatcherと同じ）。
2.ACMEへのログイン用に別のワークフローファイルを作成します。ファイル入力引数：URL;ユーザー名;パスワード。
3.ACMEを閉じるための別のワークフローファイルを作成します
4.ACME_URLとACME_Credentialを構成ファイルに追加します。
5.フレームワークフォルダーからInitAllApplications.xamlに、ACMEへのログインの呼び出しと作業項目へのナビゲーションを入力します。
6. Close ACMEの呼び出しを使用して、FrameworkフォルダーからCloseAllApplications.xamlにデータを入力します。
7.使用したプロセスを強制終了してFrameworkフォルダーからKillAllProcesses.xamlにデータを入力します。
8. Process.xamlファイルに次のアクションを入力します：Webスクレイピング、フィルタリング、およびExcelへの追加。
重要な注意：プロジェクトフォルダー（Orchestrator Assetsを含む）の外部で外部ファイル参照を使用しないでください。使用したすべてのファイルをプロジェクトフォルダー内に配置し、そのフォルダーをzipして、UiPath認定プラットフォームにアップロードします。
使用したすべてのワークフローファイルと出力Excelファイルを圧縮します。次に、.zipファイルをUiPath認定プラットフォームにアップロードします。
がんばろう！
ではごきげんよう！
A. これに関するフィードバックをお送りください
Answer: A

NEW QUESTION: 3
When data discovery is undertaken, three main approaches or strategies are commonly used to determine what the type of data, its format, and composition are for the purposes of classification.
Which of the following is NOT one of the three main approaches to data discovery?
A. Labels
B. Hashing
C. Content analysis
D. Metadata
Answer: B
Explanation:
Explanation
Hashing involves taking a block of data and, through the use of a one-way operation, producing a fixed-size value that can be used for comparison with other data. It is used primarily for protecting data and allowing for rapid comparison when matching data values such as passwords. Labels involve looking for header information or other categorizations of data to determine its type and possible classifications. Metadata involves looking at information attributes of the data, such as creator, application, type, and so on, in determining classification. Content analysis involves examining the actual data itself for its composition and classification level.