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NEW QUESTION: 1
Which of the following virtual components maintains a MAC-to-port forwarding table?
A. Virtual switch
B. Virtual PBX
C. Virtual desktop
D. Virtual server
Answer: A

NEW QUESTION: 2
Which three statements about HSRP operation are true? (Choose three.)
A. HSRP supports up to 255 groups per interface, enabling an administrative form of load balancing.
B. The virtual IP address and virtual MA+K44C address are active on the HSRP Master router.
C. The HSRP virtual IP address must be the same as one of the router's interface addresses on the LAN.
D. HSRP supports only clear-text authentication.
E. The HSRP default timers are a 3 second hello interval and a 10 second dead interval.
F. The HSRP virtual IP address must be on a different subnet than the routers' interfaces on the same LAN.
Answer: A,B,E
Explanation:
The virtual MAC address of HSRP version 1 is 0000.0C07.ACxx, where xx is the HSRP group number in hexadecimal based on the respective interface. For example, HSRP group 10 uses the HSRP virtual MAC address of 0000.0C07.AC0A. HSRP version 2 uses a virtual MAC address of 0000.0C9F.FXXX (XXX: HSRP group in hexadecimal) All routers in a HSRP group send hello packets. By default, the hello timer is set to 3 seconds and the dead interval is 10 seconds. The range for HSRP version 1 is from 0 to
255. The range is for HSRP version 2 is from 0 to 4095. The default value is 0. For this question, it is assumed that Cisco is referring to HSRP version 1 as the other options are not correct.

NEW QUESTION: 3
You need to develop a pipeline for processing data. The pipeline must meet the following requirements.
* Scale up and down resources for cost reduction.
* Use an in-memory data processing engine to speed up ETL and machine learning operations.
* Use streaming capabilities.
* Provide the ability to code in SQL, Python, Scala, and R.
* Integrate workspace collaboration with Git.
What should you use?
A. Azure Stream Analytics
B. HDInsight Hadoop Cluster
C. HDInsight Spark Cluster
D. Azure SQL Data Warehouse
Answer: C
Explanation:
Aparch Spark is an open-source, parallel-processing framework that supports in-memory processing to boost the performance of big-data analysis applications.
HDInsight is a managed Hadoop service. Use it deploy and manage Hadoop clusters in Azure. For batch processing, you can use Spark, Hive, Hive LLAP, MapReduce.
Languages: R, Python, Java, Scala, SQL
You can create an HDInsight Spark cluster using an Azure Resource Manager template. The template can be found in GitHub.
References:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/batch-processing

NEW QUESTION: 4
Which three statements regarding NAT64 operations are correct? (Choose three.)
A. With stateless NAT64, the source and destination IPv4 addresses are embedded in the IPv6 addresses
B. Stateful NAT64 requires the use of static translation slots so IPv6 hosts and initiate connections to IPv4 hosts.
C. With stateful NAT64, many IPv6 address can be translated into one IPv4 address, thus IPv4 address conservation is achieved
D. NAT64 works in conjunction with DNS64
E. Both the stateful and stateless NAT64 methods will conserve IPv4 address usage
Answer: A,C,D
Explanation:
Explanation/Reference:
Stateful NAT64-Network Address and Protocol Translation from IPv6 Clients to IPv4 Servers Stateful NAT64 multiplexes many IPv6 devices into a single IPv4 address. It can be assumed that this technology will be used mainly where IPv6-only networks and clients (ie. Mobile handsets, IPv6 only wireless, etc...) need access to the IPv4 internet and its services.
The big difference with stateful NAT64 is the elimination of the algorithmic binding between the IPv6 address and the IPv4 address. In exchange, state is created in the NAT64 device for every flow.
Additionally, NAT64 only supports IPv6-initiated flows. Unlike stateless NAT64, stateful NAT64 does `not' consume a single IPv4 address for each IPv6 device that wants to communicate to the IPv4 Internet. More practically this means that many IPv6-only users consume only single IPv4 address in similar manner as IPv4-to-IPv4 network address and port translation works. This works very well if the connectivity request is initiated from the IPv6 towards the IPv4 Internet. If an IPv4-only device wants to speak to an IPv6-only server for example, manual configuration of the translation slot will be required, making this mechanism less attractive to provide IPv6 services towards the IPv4 Internet. DNS64 is usually also necessary with a stateful NAT64, and works the same with both stateless and stateful NAT64 Stateless NAT64-Stateless translation between IPv4 and IPv6 RFC6145 (IP/ICMP Translation Algorithm) replaces RFC2765 (Stateless IP/ICMP Translation Algorithm (SIIT)) and provides a stateless mechanism to translate a IPv4 header into an IPv6 header and vice versa.
Due to the stateless character this mechanism is very effective and highly fail safe because more as a single-or multiple translators in parallel can be deployed and work all in parallel without a need to synchronize between the translation devices.
The key to the stateless translation is in the fact that the IPv4 address is directly embedded in the IPv6 address. A limitation of stateless NAT64 translation is that it directly translates only the IPv4 options that have direct IPv6 counterparts, and that it does not translate any IPv6 extension headers beyond the fragmentation extension header; however, these limitations are not significant in practice.
With a stateless NAT64, a specific IPv6 address range will represent IPv4 systems within the IPv6 world.
This range needs to be manually configured on the translation device. Within the IPv4 world all the IPv6 systems have directly correlated IPv4 addresses that can be algorithmically mapped to a subset of the service provider's IPv4 addresses. By means of this direct mapping algorithm there is no need to keep state for any translation slot between IPv4 and IPv6. This mapping algorithm requires the IPv6 hosts be assigned specific IPv6 addresses, using manual configuration or DHCPv6.
Stateless NAT64 will work very successful as proven in some of the largest networks, however it suffers from some an important side-effect: Stateless NAT64 translation will give an IPv6-only host access to the IPv4 world and vice versa, however it consumes an IPv4 address for each IPv6-only device that desires translation -- exactly the same as a dual-stack deployment. Consequentially, stateless NAT64 is no solution to address the ongoing IPv4 address depletion. Stateless NAT64 is a good tool to provide Internet servers with an accessible IP address for both IPv4 and IPv6 on the global Internet. To aggregate many IPv6 users into a single IPv4 address, stateful NAT64 is required. NAT64 are usually deployed in conjunction with a DNS64. This functions similar to, but different than, DNS-ALG that was part of NAT-PT.
DNS64 is not an ALG; instead, packets are sent directly to and received from the DNS64's IP address.
DNS64 can also work with DNSSEC (whereas DNS-ALG could not).