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NEW QUESTION: 1
A company's Salesforce org has multi-currency enabled. This company's business intelligence team used Einstein Analytics to build a dataflow that creates a dataset, "OpportunityDataSet". This dataset is populated with data extracted from the standard object, Opportunity. One of the extracted fields is the standard field, Amount.
If a user explores the "OpportunityDataSet" in Einstein Analytics, in which currency will the Amount values be shown?
A. In the currency that is set on the "currency" attribute in the dataset
B. In the currency that is set on the "currency" attribute in the dataflow
C. In the integration user's currency
D. In the connected user's currency
Answer: C
Explanation:
https://salesforce-trailblazer.com/einstein-analytics-multi-currency/
NEW QUESTION: 2
A. Option D
B. Option C
C. Option B
D. Option A
Answer: C
Explanation:
Set-DhcpServerv4Scope Sets the properties of an existing IPv4 scope on the Dynamic Host Configuration Protocol (DHCP) server service.
NEW QUESTION: 3
A group of season ticket holders wants to forecast attendance at National Football League (NFL) games for the upcoming season. One ticket holder argues that using the population of the United States as the only independent variable would explain as much as using both the United States population and the percent change in disposable income (per capita) as independent variables. Another ticket holder argues that using the percent change in disposable income (per capita) asthe only independent variable would provide the most accurate forecast. Listed below are the Adjusted R2 values for three regression models. Based on these values, and keeping in mind that the ticket holders are only concerned about forecasting, what is the correct conclusion?
- NFL Attendance vs. US Population and Percent Change in Disposable Income.
Adjusted R2= 0.8964 - NFL Attendance vs. US Population: Adjusted R2= 0.8609 - NFL Attendance vs. Percent Change in Disposable Income. Adjusted R2= -0.0244
A. The Adjusted R2 of NFL Attendance vs. US Population and Percent Change in Disposable Income is higher than that of either single variable regression model, so both US Population and Percent Change in Disposable Income should be included in the regression model.
B. The Adjusted R2 of NFL Attendance vs. Percent Change in Disposable Income is negative, so Percent Change in Disposable Income should be excluded from any regression model.
C. The Adjusted R2 of NFL Attendance vs. US Population is higher than that of NFL Attendance vs. Percent Change in Disposable Income, so US Population should be the only independent variable in the regression model.
D. There is not any information regarding the p-values of the independent variables, so it is impossible to determine the explanatory power of the regression models.
Answer: A
NEW QUESTION: 4
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。
ソリューションはスケーラブルである必要があるため、2つの別個のプロジェクト（サブプロセス）を作成します。
-ディスパッチャ用に1つ（キューに追加）。
-パフォーマー用のもう1つ（キューを消費）。
テストには、UiPathOrchestratorへの接続を使用してください。
ディスパッチャでロボットが実行する手順は次のとおりです。
1.https：/Nvww.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、[請求書]メニュー項目をクリックまたはカーソルを合わせて、[請求書の検索]をクリックします。 [すべての請求書を表示]をクリックします。
3.表示されたテーブル全体からデータをスクレイピングします。
4.データテーブルの各行に、請求書番号、ベンダーTaxID、および日付を含むキューアイテムを追加します。
5.ACMEシステム1を閉じます。
ロボットがパフォーマーで実行する手順は次のとおりです。
1.https：/Nvww.acme-test.comにログインします。
2.キューアイテムごとに：
-[請求書]メニュー項目をクリックまたはカーソルを合わせて、[請求書の検索]をクリックします。
-キューアイテムから取得した請求書番号を[請求書番号]フィールドフィールドに入力します。
-[検索]をクリックします。
-ベンダーのTaxIDとDateの値を抽出し、それらをキューアイテムの値と比較します（すべてのフィールドが完全に一致するかどうかを確認してください）。
-値が一致しない場合、これはビジネスルール例外として分類され、キューemのステータスはそれに応じて設定されている必要があります。
-値が一致する場合、トランザクションは成功しています。
注：ナビゲーションは、ロボットによって複数の方法で実現できます。最適な方法を選択してください。
REFrameWorkを使用して、開発で従うべき制約：
1.TransactionItemデータ型はQueueItemである必要があります。請求書検索ページと請求書-検索結果ページの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2回再試行する必要があります。 1つのトランザクションは、[請求書検索]ページに移動し、請求書番号を検索して、結果の1行のテーブルから値を取得するアクションです。
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Excel構成ファイルに追加します。
5.「ACt ... 1E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」を使用して、FrameworkフォルダーからlnitAllApplications.xamlにデータを入力します。
6. Close ACtv1E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KillAllProcessesxaml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：ナビゲーション、請求書番号の検索、スクレイピング、値が一致するかどうかの確認、ビジネスルール例外の処理。
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。
使用したワークフローファイルと出力ExcelファイフをZipで圧縮します。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