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NEW QUESTION: 1
A network engineer configured an IOS router to send syslog messages to a Window syslog server. Several events occurred on the IOS router, and the network engineer noticed that Windows syslog server had not received any messages from the IOS router. What is the reason for this?
A. Either a firewall between the two devices or an ACL on the router is blocking IP protocol number 514.
B. Either a firewall between the two devices or an ACL on the router is blocking UDP port 512.
C. Either a firewall between the two devices or an ACL on the router is blocking UDP port 514.
D. Either a firewall between the two devices or an ACL on the router is blocking TCP port 514.
Answer: C
NEW QUESTION: 2
Where can you find packet-transmission statistics?
A. Monitoring > Call Info
B. Monitoring > Maintenance
C. Monitoring > Network Data
D. Monitoring > Statistics
Answer: C
Explanation:
Explanation/Reference:
Explanation:
Use the Network Data section to view packet transmission statistics collected from the network. Data is listed in columns labeled as if you were looking at the back of the system. For example, on an IX5000, the labels would indicate statistics from the left, center, and right codecs.
To monitor network statistics:
Step 1 In the Monitoring page, scroll down to Network Data. Your network data appears
Reference: http://www.cisco.com/c/en/us/td/docs/telepresence/ix_sw/8_x/admin/guide/ix_8_admin_guide/ ix_sw_mntr.html
NEW QUESTION: 3
Answer:
Explanation:
Explanation
Lambda architecture is a data-processing architecture designed to handle massive quantities of data by taking advantage of both batch- and stream-processing methods. This approach to architecture attempts to balance latency, throughput, and fault-tolerance by using batch processing to provide comprehensive and accurate views of batch data, while simultaneously using real-time stream processing to provide views of online data.
The two view outputs may be joined before presentation
Box 1: Speed
The speed layer processes data streams in real time and without the requirements of fix-ups or completeness.
This layer sacrifices throughput as it aims to minimize latency by providing real-time views into the most recent data.
Box 2: Batch
The batch layer precomputes results using a distributed processing system that can handle very large quantities of data. The batch layer aims at perfect accuracy by being able to process all available data when generating views.
Box 3: Serving
Output from the batch and speed layers are stored in the serving layer, which responds to ad-hoc queries by returning precomputed views or building views from the processed data.