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NEW QUESTION: 1
An installment meets all of the selection criteria of a Payment Process Request but it still did not get selected for payment processing. Identify two reasons for this.
A. The invoices need revalidation.
B. The installment was manually removed.
C. The pay-through date is in a future period.
D. The invoice has not been accounted.
E. The pay-through date is in a closed Payables period.
Answer: A,E
Explanation:
Explanation/Reference:
An installment can meet the selection criteria of a payment process request, yet not get selected for payment for one or more reasons.
You can review installments that were not selected for payment, along with the reasons they were not selected, on the Not Selected tab of the Review Installments page.
The reasons are as follows:
Payment date in closed period
Invoice needs revalidation
Rejected by approver
Withholding tax calculation error
Credit reduces payment amount below zero
Invoice requires approval
Invoice never validated
Payment date before system date not allowed
Installment on hold
Supplier site on payment hold
Installment manually removed
Zero amount installments excluded
References: https://docs.oracle.com/cd/E37017_01/doc.1115/e22897/F438410AN16238.htm
NEW QUESTION: 2
What is the recommended action when customer asks for a consistency check to his network planning files which was not included in NSN scope of work?
A. Execute if the task will not have a significant impact on the project cost and keep customer happy.
B. Execute if there is a risk to harm the customer satisfaction.
C. Execute but only with formal approval of the Project Manager.
D. Initiate the Change Management Process.
Answer: D
NEW QUESTION: 3
アプリケーションは、分析のためにログをBigQueryに書き込みます。各アプリケーションには独自のテーブルが必要です。
45日より古いログはすべて削除する必要があります。ストレージを最適化し、Googleが推奨するプラクティスに従ってください。あなたは何をするべきか？
A. テーブルの有効期限を45日に設定します
B. テーブルをタイムパーティション化し、パーティションの有効期限を45日に設定します
C. BigQueryコマンドラインツール（bq）を使用して45日以上経過したレコードを削除するスクリプトを作成します
D. 45日以上経過したアプリケーションログを削除するには、BigQueryのデフォルトの動作に依存します
Answer: A
Explanation:
リファレンス：https://cloud.google.com/bigquery/docs/managing-tables