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NEW QUESTION: 1
A user wants to use the One Button to Push feature on a Cisco TelePresence System 500-32 video endpoint. Which configuration tool should be used to allow the One Button to Push feature to work?
A. Cisco Unified Communications Manager server, phones, devices, One Button to Push
B. Active Directory server, users, new conference, One Button to Push
C. Cisco TelePresence Video Communication Server, new conference, calls, One Button to Push
D. Cisco Gigaswitch Router, Call Manager Express, One Button to Push
E. Cisco TelePresence Manager Suite server, new conference, set Conference type to One Button to Push
Answer: E

NEW QUESTION: 2
Which two statements about OTV are true? (Choose two.)
A. OTV propagates MAC address reachability information via the underlying IS-IS control-plane.
B. All OTV overlay interfaces must use the same join interface.
C. OTV provides STP isolation because it does not transmit BPDUs across the overlay
D. Multicast support in the transport network is a strict requirement to establish OTV adjacencies.
E. OTV forwards and processes spanning-tree BPDUs between sites to ensure a loop-free topology.
F. OTV utilizes the IS-IS routing protocol to propagate MAC address reachability information
Answer: C,F
Explanation:
The Join interface is a Layer 3 entity and with the current NX-OS release can only be defined as a physical interface (or subinterface) or as a logical one (i.e. Layer 3 port channel or Layer 3 port channel subinterface). A single Join interface can be defined and associated with a given OTV overlay. Multiple overlays can also share the same Join interface.
The routing protocol used to implement the OTV control plane is IS-IS. It was selected because it is a standard-based protocol, originally designed with the capability of carrying MAC address information in the TLV.
From a security perspective, it is possible to leverage the IS-IS HMAC-MD5 authentication feature to add an HMAC-MD5 digest to each OTV control protocol message. The digest allows authentication at the IS-IS protocol level, which prevents unauthorized routing message from being injected into the network routing domain. At the same time, only authenticated devices will be allowed to successfully exchange OTV control protocol messages between them and hence to become part of the same Overlay network All OTV edge devices must become "adjacent" to each other from an OTV perspective. This can be achieved in two ways, depending on the nature of the transport network interconnecting the various sites:
*If the transport is multicast enabled, a specific multicast group can be used to exchange the control protocol messages between the OTV edge devices.
*If the transport is not multicast enabled, an alternative deployment model is available where one (or more) OTV edge device can be configured as an "Adjacency Server" to which all other edge devices register and communicates to them the list of devices belonging to a given overlay.
Ref:
http://www.cisco.com/c/en/us/td/docs/solutions/Enterprise/Data_Center/DCI/whitepaper/DCI3_OT V_Intro.pdf

NEW QUESTION: 3
DRAG DROP


Answer:
Explanation:

Explanation

NEW QUESTION: 4
For this question refer to the TerramEarth case study
Operational parameters such as oil pressure are adjustable on each of TerramEarth's vehicles to increase their efficiency, depending on their environmental conditions. Your primary goal is to increase the operating efficiency of all 20 million cellular and unconnected vehicles in the field How can you accomplish this goal?
A. Have your engineers inspect the data for patterns, and then create an algorithm with rules that make operational adjustments automatically.
B. Implement a Google Cloud Dataflow streaming job with a sliding window, and use Google Cloud Messaging (GCM) to make operational adjustments automatically.
C. Capture all operating data, train machine learning models that identify ideal operations, and run locally to make operational adjustments automatically.
D. Capture all operating data, train machine learning models that identify ideal operations, and host in Google Cloud Machine Learning (ML) Platform to make operational adjustments automatically.
Answer: C
Explanation:
Topic 2, JencoMart Case Study
Company Overview
JencoMart is a global retailer with over 10,000 stores in 16 countries. The stores carry a range of goods, such as groceries, tires, and jewelry. One of the company's core values is excellent customer service. In addition, they recently introduced an environmental policy to reduce their carbon output by 50% over the next 5 years.
Company Background
JencoMart started as a general store in 1931, and has grown into one of the world's leading brands known for great value and customer service. Over time, the company transitioned from only physical stores to a stores and online hybrid model, with 25% of sales online. Currently, JencoMart has little presence in Asia, but considers that market key for future growth.
Solution Concept
JencoMart wants to migrate several critical applications to the cloud but has not completed a technical review to determine their suitability for the cloud and the engineering required for migration. They currently host all of these applications on infrastructure that is at its end of life and is no longer supported.
Existing Technical Environment
JencoMart hosts all of its applications in 4 data centers: 3 in North American and 1 in Europe, most applications are dual-homed.
JencoMart understands the dependencies and resource usage metrics of their on-premises architecture.
Application Customer loyalty portal
LAMP (Linux, Apache, MySQL and PHP) application served from the two JencoMart-owned U.S. data centers.
Database
* Oracle Database stores user profiles
* 20 TB
* Complex table structure
* Well maintained, clean data
* Strong backup strategy
* PostgreSQL database stores user credentials
* Single-homed in US West
No redundancy
Backed up every 12 hours
* 100% uptime service level agreement (SLA)
* Authenticates all users
Compute
* 30 machines in US West Coast, each machine has:
Twin, dual core CPUs
32GB of RAM
* Twin 250 GB HDD (RAID 1)
* 20 machines in US East Coast, each machine has:
Single dual-core CPU
24 GB of RAM
* Twin 250 GB HDD (RAID 1)
Storage
* Access to shared 100 TB SAN in each location
* Tape backup every week
Business Requirements
* Optimize for capacity during peak periods and value during off-peak periods
* Guarantee service availably and support
* Reduce on-premises footprint and associated financial and environmental impact.
* Move to outsourcing model to avoid large upfront costs associated with infrastructure purchase
* Expand services into Asia.
Technical Requirements
* Assess key application for cloud suitability.
* Modify application for the cloud.
* Move applications to a new infrastructure.
* Leverage managed services wherever feasible
* Sunset 20% of capacity in existing data centers
* Decrease latency in Asia
CEO Statement
JencoMart will continue to develop personal relationships with our customers as more people access the web.
The future of our retail business is in the global market and the connection between online and in-store experiences. As a large global company, we also have a responsibility to the environment through 'green' initiatives and polices.
CTO Statement
The challenges of operating data centers prevents focus on key technologies critical to our long-term success.
Migrating our data services to a public cloud infrastructure will allow us to focus on big data and machine learning to improve our service customers.
CFO Statement
Since its founding JencoMart has invested heavily in our data services infrastructure. However, because of changing market trends, we need to outsource our infrastructure to ensure our long-term success. This model will allow us to respond to increasing customer demand during peak and reduce costs.

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