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NEW QUESTION: 1
After the network has converged, what type of messaging, if any, occurs between R3 and R4?

A. The routing table from each router is sent every 60 seconds.
B. Hellos are sent every 10 seconds.
C. The full database from each router is sent every 30 seconds.
D. No messages are exchanged
Answer: B
Explanation:
Explanation/Reference:
Explanation:
HELLO messages are used to maintain adjacent neighbors so even when the network is converged, hellos are still exchanged. On broadcast and point-to-point links, the default is 10 seconds, on NBMA the default is 30 seconds.
Although OSPF is a link-state protocol but the full database from each router is sent every 30 minutes (not seconds) -> C and D are not correct.

NEW QUESTION: 2
For multiple events to be identified as an SNMP trap storm, what criteria must the traps meet? (Select three.)
A. have the same trap identifier
B. are within 1 second of the previous event
C. have the same number of variable string values
D. are from the same device
E. have the same hostname
F. originate from the same MAC addresses
Answer: B,D,E

NEW QUESTION: 3
Refer to the following output:
Router#show ip nhrp detail 10.1.1.2/8 via 10.2.1.2, Tunnel1 created 00:00:12, expire 01:59:47 TypE. dynamic, Flags: authoritative unique nat registered used NBMA address: 10.12.1.2
What does the authoritative flag mean in regards to the NHRP information?
A. Data packets are process switches for this mapping entry.
B. The NHRP mapping entry cannot be overwritten.
C. NHRP mapping is for networks that are local to this router.
D. It was obtained directly from the next-hop server.
E. The mapping entry was created in response to an NHRP registration request.
Answer: D

NEW QUESTION: 4
You need to record the row count as a metric named row_count that can be returned using the get_metrics method of the Run object after the experiment run completes. Which code should you use?
A. run.log_row('row_count', rows)
B. run.tag('row_count', rows)
C. run.log('row_count', rows)
D. run.upload_file('row_count', './data.csv')
E. run.log_table('row_count', rows)
Answer: C
Explanation:
Log a numerical or string value to the run with the given name using log(name, value, description=''). Logging a metric to a run causes that metric to be stored in the run record in the experiment. You can log the same metric multiple times within a run, the result being considered a vector of that metric.
Example: run.log("accuracy", 0.95)
Incorrect Answers:
E: Using log_row(name, description=None, **kwargs) creates a metric with multiple columns as described in kwargs. Each named parameter generates a column with the value specified. log_row can be called once to log an arbitrary tuple, or multiple times in a loop to generate a complete table.
Example: run.log_row("Y over X", x=1, y=0.4)
Reference:
https://docs.microsoft.com/en-us/python/api/azureml-core/azureml.core.run