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NEW QUESTION: 1
Before running your first report on Cascade Profiler after installation, where is the best place to go to verify traffic flows are currently being received?
A. System Information > Profiler
B. Dashboard
C. System Information > Devices/Interfaces
D. Ping devices on UDP port 2055 to see if they are up and running
E. Log in to the shell and view the /usr/mazu/var/log/Sensor.log
Answer: C

NEW QUESTION: 2
Which statement is NOT true about a database restore operation?
A. A user can restore a database from a backup image on a 32-bit level into a 64-bit level, but not vice versa.
B. A database restore operation requires an exclusive connection. No applications can run against the database while the operation is inprogress.
C. A table space restore operation must be done offline.
D. A table space is not usable until the restore operation completes successfully.
Answer: C

NEW QUESTION: 3
Which statement is true about Oracle Cloud Identifiers (OCID)?
A. If you delete a user, and then create a new user with the same name, the new user will be assigned
the exact same OCIDs as the system remembers.
B. mytenancy.oc.ocid is a valid OCID.
C. Users can customize OCIDs for all the resources in their compartments.
D. If you delete a user, and them create a new user with the same name, the user will be considered a
different user because of different OCIDs.
Answer: D
Explanation:
Explanation/Reference:
Reference: https://docs.cloud.oracle.com/iaas/Content/Identity/Tasks/managingusers.htm (see note)

NEW QUESTION: 4
A security team at an e-commerce company wants to define an automatic incident response process for fraudulent credit card usage attempts. The team targets a 10-minute or faster response time for such incidents. The fraudulent card list is updated every 60 seconds. The e- commerce servers log the transaction details in near-real time. Which option should you recommend to the security team?
A. Define a log-based metric for each fraudulent credit card, and set a Stackdriver alert for these metrics.
B. Maintain a log ingestion exclusion filter based on the fraudulent credit card lists.
C. Use AutoML to automatically build models based on the fraudulent credit card lists.
D. Create a new logging export with a filter to match the transaction and a sink pointing to a Cloud Pub/Sub topic.
Answer: D
Explanation:
A is not correct because creating a metric for every credit card will not scale well.
B is not correct because it will exclude the transactions that are relevant to the security team.
C is not correct because while we could use AutoML to build models, this solution is incomplete without deploying and running the model, as well as wiring them up with some consumer service.
D is correct because this will capture the important events and pass them to Pub/Sub which in turn can send the message to a consumer service like a chat notification webhook.
https://cloud.google.com/logging/docs/export/configure_export_v2