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NEW QUESTION: 1
Ein bestehendes System wird durch Extrahieren und Wiederverwenden von Design- und Programmkomponenten umfassend erweitert. Dies ist ein Beispiel für:
A. Reengineering.
B. Prototyping.
C. Wiederverwendung von Software.
D. Reverse Engineering.
Answer: A
Explanation:
Erläuterung:
Alte (Legacy-) Systeme, die umfassend korrigiert, angepasst und erweitert wurden, müssen überarbeitet werden, um wartbar zu bleiben. Reengineering ist eine Wiederherstellungsaktivität, um neue Technologien in bestehende Systeme zu integrieren. Unter Verwendung von Anweisungen in der Programmsprache wird beim Reverse Engineering der Maschinencode eines Programms in den Quellcode zurückgesetzt, in dem es geschrieben wurde, um böswilligen Inhalt in einem Programm, z. B. einen Virus, zu identifizieren, oder um ein für die Verwendung mit einem Prozessor geschriebenes Programm für die Verwendung mit a anzupassen anders gestalteter Prozessor. Prototyping ist die Entwicklung eines Systems durch kontrolliertes Ausprobieren. Die Wiederverwendung von Software ist der Prozess der Planung, Analyse und Verwendung zuvor entwickelter Softwarekomponenten. Die wiederverwendbaren Komponenten werden systematisch in das aktuelle Softwareprodukt integriert.
NEW QUESTION: 2
Which of the following is MOST likely to be retrieved from an individually addressable blob?
A. An object ID
B. An image
C. A sequence number
D. A hash
Answer: B
NEW QUESTION: 3
You are planning a design pattern based on the Lambda architecture as shown in the exhibit.
Which Azure services should you use f2 or the cold path? To answer, drag the appropriate services to the correct layers. Each service may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Layer 2: Azure Data Lake Storage Gen2
Layer 3: Azure SQL Data Warehouse
Azure SQL Data Warehouse can be used for batch processing.
Note: Lambda architectures use batch-processing, stream-processing, and a serving layer to minimize the latency involved in querying big data.
References:
https://azure.microsoft.com/en-us/blog/lambda-architecture-using-azure-cosmosdb-faster-performance-low-tco-l
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/batch-processing
NEW QUESTION: 4
A. Option C
B. Option B
C. Option D
D. Option A
Answer: A,D
Explanation:
