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NEW QUESTION: 1
Welche der folgenden Aussagen zur Schätzung des Testaufwands ist FALSCH?
A. Die Aufwandsschätzung hängt vom Budget des Projekts ab.
B. Die Aufwandsschätzung kann ungenau sein, da die Qualität des zu testenden Produkts nicht bekannt ist.
C. Erfahrungsbasierte Schätzung ist eine der Schätztechniken.
D. Sobald der Testaufwand geschätzt ist, können Ressourcen identifiziert und ein Zeitplan erstellt werden.
Answer: A
NEW QUESTION: 2
Identify three guidelines for the DBMS_ASSERT package. (Choose three.)
A. Embed DBMS_ASSERT verification routines inside the injectable string.
B. Prefix all calls to DBMS_ASSERT with the SYS schema name.
C. Define and raise exceptions explicitly to handle DBMS_ASSERT exceptions.
D. Prefix all calls to DBMS_ASSERT with a schema name that owns the subprogram that uses the DBMS_ASSERT package.
E. Escape single quotes when you use the ENQUOTE_LITERAL procedure.
Answer: B,C,E
NEW QUESTION: 3
AWS Data Pipeline의 일정 파이프 라인과 관련된 세 가지 유형의 항목 중 하나 인 시도는 강력한 데이터 관리 기능을 제공합니다.
다음 중 시도에 대해 진실이 아닌 것은 무엇입니까?
A. AWS Data Pipeline Attempt objects track the various attempts, results, and failure reasons if applicable.
B. 강력한 데이터 관리를 시도합니다.
C. AWS Data Pipeline retries a failed operation until the count of retries reaches the maximum number of allowed retry attempts.
D. An AWS Data Pipeline Attempt object compiles the pipeline components to create a set of actionable instances.
Answer: D
Explanation:
설명:
Attempts, one of the three types of items associated with a schedule pipeline in AWS Data Pipeline, provides robust data management. AWS Data Pipeline retries a failed operation. It continues to do so until the task reaches the maximum number of allowed retry attempts. Attempt objects track the various attempts, results, and failure reasons if applicable. Essentially, it is the instance with a counter. AWS Data Pipeline performs retries using the same resources from the previous attempts, such as Amazon EMR clusters and EC2 instances.
http://docs.aws.amazon.com/datapipeline/latest/DeveloperGuide/dp-how-tasks-scheduled.html