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NEW QUESTION: 1
あなたは小さなオンライン委託販売市場を運営しています。興味のある売り手は、彼らがあなたのウェブサイトで彼らの製品を売ることを可能にするために、オンライン申し込みを完了します。
承認されると、カスタムインターフェイスを使用して製品を投稿できます。
そのパンツから、ショッピングカートプロセスを管理し、購入者が製品を購入することを決定したときに、請求を処理して配送を調整します。
このプロセスの一部では、さまざまな段階で購入者と販売者にメールを送信する必要があります。
システムがAWSで数か月間実行されています。
場合によっては、支払いが決済され、Eメールが送信される前に製品が出荷されます。
さらに、クレジットカードに2回請求される場合があります。これらの問題をどのように解決できますか？
A. Amazon Simple Workflow Service（SWF）を使用し、タスクごとに異なるワーカーセットを使用します。
B. Amazon Simple Queue Service（SQS）を使用し、タスクごとに異なるワーカーセットを使用します。
C. Amazon Simple Queue Service（SQS）を使用し、タスクごとに単一のワーカーセットを使用します。
D. Simple Email Service（SES）を使用して、メール配信の正しい順序を制御します。
E. AWS Data Pipelineサービスを使用して、さまざまなタスクのプロセスフローを制御します。
Answer: A
NEW QUESTION: 2
What is a requirement for the Import External Storage migration feature?
A. PowerPath host-based multipathing software
B. Direct Fibre Channel connections between storage systems
C. PowerStore LACP bonded ports are tagged for replication
D. PowerStore Global Storage Discovery IP address must be configured
Answer: D
NEW QUESTION: 3
Examine the structure of the EMPLOYEES and NEW_EMPLOYEES tables:
EMPLOYEES
EMPLOYEE_IDNUMBERPrimary Key
FIRST_NAMEVARCHAR2 (25)
LAST_NAMEVARCHAR2 (25)
HIRE_DATEDATE
NEW EMPLOYEES
EMPLOYEE_IDNUMBERPrimary Key
NAMEVARCHAR2 (60)
Which DELETE statement is valid?
A. DELETE FROM employees WHERE employee_id IN(SELECT employee_id FROM new_employees WHERE name = 'Carrey');
B. DELETE FROM employees WHERE employee_id = (SELECT employee_id FROM employees);
C. DELETE * FROM employees WHERE employee_id IN (SELECT employee_id FROM new_employees WHERE last_name = 'Carrey');
D. DELETE * FROM employees WHERE employee_id = (SELECT employee_id FROM new_employees);
Answer: A
Explanation:
Explanation :
The correct syntax for DELETE statement
DELETE [ FROM ] table
[ WHERE condition ];
Incorrect Answers :
A. '=' is use in the statement and sub query will return more than one row. Error Ora-01427: single-row sub query returns more than one row.
B. Incorrect DELETE statement
D. Incorrect DELETE statement Refer : Introduction to Oracle9i : SQL, Oracle University Student Guide, Manipulating Data, p. 8-19