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NEW QUESTION: 1
Wayne is the senior security analyst for his company. Wayne is examining some traffic logs on a server and came across some inconsistencies. Wayne finds some IP packets from a computer purporting to be on the internal network. The packets originate from
192.168.12.35 with a TTL of 15. The server replied to this computer and received a response from 192.168.12.35 with a TTL of 21. What can Wayne infer from this traffic log?
A. The initial traffic from 192.168.12.35 was being spoofed.
B. The TTL of 21 means that the client computer is on wireless.
C. The client computer at 192.168.12.35 is a zombie computer.
D. The traffic from 192.168.12.25 is from a Linux computer.
Answer: A
NEW QUESTION: 2
Refer to the exhibit. How many SIP signaling transaction(s) took place in this SIP message exchange between two SIP user agents?
A. 0
B. 1
C. 2
D. 3
E. 4
F. 5
Answer: A
Explanation:
Sip transactions are the sip messages which have any sip code associated to it you can see three messages are with code.
NEW QUESTION: 3
A mid-sized company is experiencing higher network bandwidth utilization due to a recent acquisition The network operations team is asked to scale up their one Cisco FTD appliance deployment to higher capacities due to the increased network bandwidth. Which design option should be used to accomplish this goal?
A. Deploy multiple Cisco FTD HA pairs in clustering mode to increase performance
B. Deploy multiple Cisco FTD HA pairs to increase performance
C. Deploy multiple Cisco FTD appliances in firewall clustering mode to increase performance.
D. Deploy multiple Cisco FTD appliances using VPN load-balancing to scale performance.
Answer: C
NEW QUESTION: 4
You are designing an Al solution that must meet the following processing requirements:
* Use a parallel processing framework that supports the in-memory processing of high volumes of data.
* Use in-memory caching and a columnar storage engine for Apache Hive queries.
What should you use to meet each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Apache Spark
Apache Spark is a parallel processing framework that supports in-memory processing to boost the performance of big-data analytic applications. Apache Spark in Azure HDInsight is the Microsoft implementation of Apache Spark in the cloud.
Box 2: Interactive Query
Interactive Query provides In-memory caching and improved columnar storage engine for Hive queries.
References:
https://docs.microsoft.com/en-us/azure/hdinsight/spark/apache-spark-overview
https://docs.microsoft.com/bs-latn-ba/azure/hdinsight/interactive-query/apache-interactive-query-get-started