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NEW QUESTION: 1
Was sollten Regressionstests verwenden, um genaue Schlussfolgerungen hinsichtlich der Auswirkungen von Änderungen oder Korrekturen an einem Programm zu erhalten und um sicherzustellen, dass diese Änderungen und Korrekturen keine neuen Fehler verursacht haben?
A. Live-Daten
B. Daten aus früheren Tests
C. erfundene Daten
D. Unabhängig erstellte Daten
Answer: B
Explanation:
Erläuterung:
Bei Regressionstests sollten Daten aus früheren Tests verwendet werden, um genaue Schlussfolgerungen hinsichtlich der Auswirkungen von Änderungen oder Korrekturen an einem Programm zu erhalten, und um sicherzustellen, dass diese Änderungen und Korrekturen keine neuen Fehler verursacht haben.
NEW QUESTION: 2
What can be described as a measure of the magnitude of loss or impact on the value of an asset?
A. Vulnerability
B. Threat
C. Probability
D. Exposure factor
Answer: D
Explanation:
The exposure factor is a measure of the magnitude of loss or impact on the value of an asset.
The probability is the chance or likelihood, in a finite sample, that an event will occur or that
a specific loss value may be attained should the event occur.
A vulnerability is the absence or weakness of a risk-reducing safeguard.
A threat is event, the occurrence of which could have an undesired impact.
Source: ROTHKE, Ben, CISSP CBK Review presentation on domain 3, August 1999.
NEW QUESTION: 3
You are selecting services to write and transform JSON messages from Cloud Pub/Sub to BigQuery for a data pipeline on Google Cloud. You want to minimize service costs. You also want to monitor and accommodate input data volume that will vary in size with minimal manual intervention. What should you do?
A. Use Cloud Dataproc to run your transformations. Monitor CPU utilization for the cluster. Resize the number of worker nodes in your cluster via the command line.
B. Use Cloud Dataflow to run your transformations. Monitor the total execution time for a sampling of jobs.
Configure the job to use non-default Compute Engine machine types when needed.
C. Use Cloud Dataflow to run your transformations. Monitor the job system lag with Stackdriver. Use the default autoscaling setting for worker instances.
D. Use Cloud Dataproc to run your transformations. Use the diagnosecommand to generate an operational output archive. Locate the bottleneck and adjust cluster resources.
Answer: D