600-455 study tips - Deploying Cisco Unified Contact Center Enterprise (DUCCE) |
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Exam Code: 600-455 Deploying Cisco Unified Contact Center Enterprise (DUCCE) study tips 2023 by Killexams.com team |
600-455 Deploying Cisco Unified Contact Center Enterprise (DUCCE) Exam Name : Designing Cisco Unified Contact Center Enterprise Exam Number : 600-455 UCCED Exam Duration : 75 minutes Questions in test : 65-75 Passing Score : Variable (750-850 / 1000 Approx.) Recommended Training : Administering Cisco Unified Contact Center Enterprise Part 1 (AUCCE1) 2.0 Administering Cisco Unified Contact Center Enterprise Part 2 (AUCCE2) 2.0 Deploying Cisco Unified Contact Center Enterprise (DUCCE) 2.0 Exam Registration : PEARSON VUE Real Questions : Cisco 600-455 Real Questions VCE practice questions : Cisco Unified Contact Center Enterprise Specialist Practice Test Describe the Features and Functionality of the Cisco Unified CCE Solution 23% 1. Describe the role of Cisco Unified Communications Manager in Cisco Unified CCE 2. Describe the role of voice gateways and Session Initiation Protocol proxy in Cisco Unified CCE 3. Describe the role of congestion control in Cisco Unified CCE 4. Describe the role of Cisco Unified Intelligent Contact Management (Unified ICM) in Cisco Unified CCE 5. Describe the role of CTI in Cisco Unified CCE 6. Describe the role of Cisco Unified Customer Voice Portal in Cisco Unified CCE 7. Describe the role of high priority traffic in Cisco Unified ICM 8. Describe the methods available to configure and use precision routing 9. Describe the role of Cisco Unified Mobile Agent in Cisco Unified CCE 10. Describe the role of Cisco Outbound Option in Cisco Unified CCE 11. Describe the methods available to secure the Cisco Unified CCE solution and their impact on system capacity and functionality Identify the Design Considerations for Cisco Unified Communications Manager in a Cisco Unified CCE Solution 11% 1. Describe the Cisco Unified Communications Manager originated calls to Cisco Unified Customer Voice Portal 2. Describe the Cisco Unified Communications Manager options for transfer calls to agents involving SIP trunks 3. Describe the requirements for Cisco Unified Mobile Agent on Cisco Unified Communications Manager 4. Describe the impact of the multiline automatic call distributor functionality of Cisco Unified CCE on Cisco Unified Communications Manager 5. Describe the cluster over the WAN consideration for Cisco Unified Communications Manager 6. Describe the Cisco Unified Communications Manager redundancy options for centralized deployment 7. Describe the methods available to maintain end to end reporting for transferred calls Identify the Network Design Considerations in a Cisco Unified CCE Solution 19% 1. Explain the failure scenarios with geographically separated Cisco Unified CCE deployments 2. Describe the quality of service usage within Unified Contact Center Enterprise solution 3. Explain the network requirements to support the Clustering over the WAN (CoW) deployment model for the Cisco Unified CCE solution 4. Describe the basic deployment models for the Cisco Unified CCE solution (single-site, multisite centralized, and multisite distributed) 5. Explain network requirements for the Cisco Unified Intelligent Contact Management visible and private network connections in a Cisco Unified CCE solution 6. Describe Cisco Finesse failover scenarios 7. Describe the factors that impact Cisco Unified Intelligence Center bandwidth usage 8. Describe the Test Other Side method used in Unified Intelligent Contact Management 9. Describe the high-availability options of all components supported in the Cisco Unified CCE solution Identify the Design Considerations for Cisco Unified ICM, Cisco Finesse, Cisco Unified CVP, and Cisco Unified Intelligence Center in a Cisco Unified CCE Solution 23% 1. Explain call type usage within Cisco Unified ICM in Cisco Unified CCE solution 2. Describe the design consideration for administrative workstations when Unified CCE is deployed into two data centers (geographically separated) 3. Describe the impact for re-qualify call node in Cisco Unified ICM script 4. Describe the Cisco Unified Boarder Element and SIP proxy functionality within Cisco Unified CCE solution 5. Describe Post Call Survey functionality and its call flow 6. Describe Whisper Announcement functionality and its call flow 7. Describe Courtesy Call back functionality and its call flow 8. Describe Cisco Finesse features and its third-party gadgets 9. Describe the Cisco Finesse workflow 10. Describe the agent target rules feature of Cisco Unified ICM and the impact it has on the Cisco Unified CCE solution Describe the Sizing Process for Contact Center Resources and Cisco Unified CCE Components 13% 1. Describe common sizing inputs such as agent talk time, queue time, and wrap-up time and their impact on sizing contact center resources 2. Explain how Erlang calculations are used as part of the sizing for contact center resources 3. Describe the Packaged CCE capacity 4. Describe the sizing consideration for SIP proxy methods 5. Describe the factors that are used to size the components of the Cisco Unified CCE solution — including Cisco Unified Communications Manager, Cisco Unified CVP, and Cisco Unified ICM components, such as peripheral gateway, router, logger, and administrative workstations 6. Describe the factors that are used in sizing the bandwidth required for the Cisco Unified CCE solution Describe the Virtualization Environment for Contact Center Resources and Cisco Unified CCE Components 11% 1. Identify the VMware supported features 2. Describe the configuration considerations for NIC in virtualization environment 3. Describe the Cisco Unified Computing System B_Series fabric interconnection and the upstream network connectivity 4. Describe the design considerations for Cisco Unified CCE running on the Cisco Unified Computing System B_Series 5. Describe the design considerations for upstream IP switches when using the Cisco Unified Computing System C_Series |
Deploying Cisco Unified Contact Center Enterprise (DUCCE) Cisco Enterprise study tips |
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This bestselling textbook provides an engaging and user-friendly introduction to the study of language. Assuming no prior knowledge of the subject, Yule presents information in bite-sized sections, clearly explaining the major concepts in linguistics – from how children learn language to why men and women speak differently, through all the key elements of language. This fifth edition has been revised and updated with new figures and tables, additional topics, and numerous new examples using languages from across the world.To increase student engagement and to foster problem-solving and critical thinking skills, the book includes thirty new tasks. An expanded and revised online study guide provides students with further resources, including answers and tutorials for all tasks, while encouraging lively and proactive learning. This is the most fundamental and easy-to-use introduction to the study of language. Cary, NC, April 20, 2023 (GLOBE NEWSWIRE) -- The Cisco Certified Network Professional (CCNP) continues to be one of the most in-demand Networking certifications in the IT industry. It is routinely ranked as one of the most important mid-level credentials across various specialties. Professionals who earn their CCNP can command salaries ranging from $80,000 to $200,000 and beyond, according to recent data from SimplyHired. Enterprises that have IT departments stacked with CCNP certifications can be confident their teams are knowledgeable, engaged, and experienced in the most up-to-date technology. Achieving the CCNP is a significant investment in both time and money, as the cost of the test alone exceeds $2,000. Therefore, proper training and studying habits are crucial to establish before attempting to take the exam. A top-flight training program will include expert training from instructors who are established in the field and adept at teaching those skills, access to hands-on labs, and an established feedback loop. INE, the leading provider of online technical training for the IT industry, recently launched a new CCNP Enterprise Learning Path. The suite of courses, labs, quizzes, and workbooks was developed to assist networking professionals with upskilling and preparing for the CCNP Enterprise exam. Who Is It For?
INE’s Learning Path has over 100 hands-on virtual labs that provide users practical experience that can easily transfer to day-to-day tactical application at work. “Entry-level networking administrators and engineers frequently find that their job tasks fall into the categories of ‘rack-and-stack,’ recabling (or cable tracing for troubleshooting purposes), and some minimal configuration implementation,” says INE Technical Instructor Keith Bogart, a networking professional with more than 25 years of Cisco experience who collaborated on the learning path by creating ENSLD course content. “With time and experience, responsibilities often evolve and become more complex. But many network engineers dream of the day they will be given the task of designing a network from scratch, and that accomplishment is what INE’s ENSLD Learning Path will help you achieve.” The Cisco CCNP Enterprise certification requires the test taker to complete the core test and one of the following concentration exams:
This coursework, and the content throughout the CCNP Enterprise Learning Path, are designed to help professionals upskill in their careers. This can lead to promotions, pay increases, and much more. To learn how your enterprise can benefit from an investment in INE training, click here. To prep for the next step in your career journey, click here. About INE: INE is the premier provider of online technical training for the IT industry. CONTACT: Kathryn Brown INE 917-715-0911 kbrown@ine.com We use artificial intelligence (AI) every day without knowing it. Alexa’s speech recognition, Netflix’s movie recommendations and Gmail’s type-ahead suggestions are all examples of data you share being fed into deep learning AI models to Boost your experience. At work, the same technology is increasingly used to deliver smart services -- rooms that book themselves, thermostats that don’t cool empty floors and outages that are restored before anyone knows they exist. Achieving Amazon-quality AI with “small data” from your organization is a more complex technical problem. To get enterprise AI right at scale requires thinking differently about how applications and services are deployed and managed. In the decade ahead, most enterprise software will be “intelligent,” and most interactions will be guided by virtual agents using natural language. Designing virtual agents for the enterprise is part art and part science. Ones that succeed will do the following: 1. Continuously Learn: Smart software, by definition, incorporates new data and user feedback into AI models to continuously Boost accuracy. Intelligent virtual agents are trained when users ask to escalate an issue or reply with “not helpful” in response to automated recommendations. 2. Hand Off To Live Agents: No user should be penalized because a virtual agent didn't help. In fact, for virtual agents to be at least as effective as live agents, they must make it easy for users to ask for live help. Make sure live help is easy to access and virtual agents are aware of live agent schedules and the languages they speak. 3. Recommend A Next Best Action: When virtual agents can’t help, make sure your virtual agent enriches tickets with context to help live agents. The virtual agent should hand off details, including who is requesting what, where they are, whether what they need is related to other issues and whatever other data can be used to recommend a “next best action.” 4. Explain Why They Made A Decision: Don’t pretend the bot is human. Always indicate when AI assistance was used to automate the support process. Equally important, make sure your virtual agent provides the ability to explain automated decisions, including why a recommendation was made, how different data would have led to a different decision and what parameters can be tuned to deliver a better outcome next time. 5. Have Configurable Confidence Settings: Provide actionable tips for administrators to make it obvious and easy to configure automated behaviors. For example, your virtual agent should include levers and dials to control how “confident” the AI model must be before making a prediction or recommendation. AI for the enterprise only delivers on the promise of better service when mistakes can be easily corrected by human subject matter experts. While AI is smart, it’s never as smart or as aware of nuance as human process owners. 6. Be Extensible Across Domains: To be adopted by employees as an alternative to phone or email support, your virtual agent must “speak the language” of all employee services. For example, ensure your virtual agent is able to answer IT questions, as well as HR, finance or facilities questions. Alexa wouldn’t be valuable if she only knew the weather. Similarly, your enterprise virtual agent must be fluent across service domains. 7. Support Omnichannel Conversations: Make sure your virtual agent is available wherever “the eyeballs are” at the moment of truth when a problem occurs. Virtual agents only available in special web portals or standalone apps won’t be used. Meet users where they already are to achieve meaningful call deflection. Email, SMS, voice portals and Slack are where they expect to receive service. 8. Scale Elastically As Conversation Volumes Increase: Your virtual agent must be load-tested to certain performance at peak times with peak traffic volumes. Validate that your virtual agent platform doesn’t throttle API usage, scales elastically using cloud resources and is integrated with external applications using modern integration techniques. 9. Provide Data Security Settings For Regulatory Compliance: Ensure your strategy doesn’t expose employees’ personally identifiable information (PII). They may ask questions and reveal information that shouldn’t be stored or transmitted unencrypted. Your virtual agent will only be approved by InfoSec if your AI platform is able to detect and obfuscate PII and support both cloud-native and on-prem model training. 10. Offer Predictive Insights: Winning with AI in the enterprise requires harvesting insights from automated interactions. Intelligent platforms should recommend what to do next based on what’s currently trending. For example, spikes in incidents related to Wi-Fi or email may indicate that an unapproved change to a server’s firmware should be rolled back. Select an AI platform that automates service but also suggests how to remediate issues before they occur. Use the above as a scorecard to assess your AI readiness. If you score a nine or ten, launch with confidence. Score an eight or below, and you’re better off waiting. Before grading your readiness, align stakeholders -- InfoSec, line of business service owners and live agents -- around business priorities, then proactively review your strategy by discussing each one. Conversational AI is the new UI, and enterprise virtual agents are soon to be ubiquitous. According to Gartner, 70% of enterprises will use AI-driven automation for employee service by 2021. The other 30% will try and fail. By understanding how intelligent software is deployed and managed, your organization will be among the leaders.
Stocks: Real-time U.S. stock quotes reflect trades reported through Nasdaq only; comprehensive quotes and volume reflect trading in all markets and are delayed at least 15 minutes. International stock quotes are delayed as per exchange requirements. Fundamental company data and analyst estimates provided by FactSet. Copyright 2019© FactSet Research Systems Inc. All rights reserved. Source: FactSet Indexes: Index quotes may be real-time or delayed as per exchange requirements; refer to time stamps for information on any delays. Source: FactSet Markets Diary: Data on U.S. Overview page represent trading in all U.S. markets and updates until 8 p.m. See Closing Diaries table for 4 p.m. closing data. Sources: FactSet, Dow Jones Stock Movers: Gainers, decliners and most actives market activity tables are a combination of NYSE, Nasdaq, NYSE American and NYSE Arca listings. Sources: FactSet, Dow Jones ETF Movers: Includes ETFs & ETNs with volume of at least 50,000. Sources: FactSet, Dow Jones Bonds: Bond quotes are updated in real-time. Sources: FactSet, Tullett Prebon Currencies: Currency quotes are updated in real-time. Sources: FactSet, Tullett Prebon Commodities & Futures: Futures prices are delayed at least 10 minutes as per exchange requirements. Change value during the period between open outcry settle and the commencement of the next day's trading is calculated as the difference between the last trade and the prior day's settle. Change value during other periods is calculated as the difference between the last trade and the most recent settle. Source: FactSet ![]() Data are provided 'as is' for informational purposes only and are not intended for trading purposes. FactSet (a) does not make any express or implied warranties of any kind regarding the data, including, without limitation, any warranty of merchantability or fitness for a particular purpose or use; and (b) shall not be liable for any errors, incompleteness, interruption or delay, action taken in reliance on any data, or for any damages resulting therefrom. Data may be intentionally delayed pursuant to provider requirements. Mutual Funds & ETFs: All of the mutual fund and ETF information contained in this display, with the exception of the current price and price history, was supplied by Lipper, A Refinitiv Company, subject to the following: Copyright 2019© Refinitiv. All rights reserved. Any copying, republication or redistribution of Lipper content, including by caching, framing or similar means, is expressly prohibited without the prior written consent of Lipper. Lipper shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon. Cryptocurrencies: Cryptocurrency quotes are updated in real-time. Sources: CoinDesk (Bitcoin), Kraken (all other cryptocurrencies) Calendars and Economy: 'Actual' numbers are added to the table after economic reports are released. Source: Kantar Media
LONDON, May 18, 2023--(BUSINESS WIRE)--NTT Ltd., a leading IT infrastructure and services company, and Cisco, a worldwide leader in technology, today announced a collaboration to develop and deploy joint solutions that empower organizations to Boost operational efficiencies and advance sustainability goals. Leveraging NTT’s Edge as a Service portfolio and Cisco’s IoT capabilities, solutions developed by the two companies will offer real-time data insights, enhanced security, improved decision-making, and reduced operational costs through predictive maintenance, asset tracking, and supply chain management capabilities. The companies will deliver solutions that combine NTT’s Managed Services expertise, automation capabilities at the edge, and the management of complex IT environments, with Cisco’s IoT capabilities, including Low Power Wide Area Networking (LoRaWAN). As part of today’s news, NTT has bolstered its IoT consulting and services business that brings together more than 1000 practitioners and 100 use cases in areas such as connected cars, fleet management, predictive maintenance, smart cities, digital twins, connected factories, utilities and more. NTT has already trained more than 500 Cisco sales experts to accelerate the companies’ combined capabilities and go-to-market efforts. "We are accelerating our IoT business initiatives to deliver a powerful portfolio of repeatable services that can be tailored to meet customer demand for these kinds of solutions. We’re in a unique position," said Devin Yaung, SVP of Group Enterprise IoT Products and Services at NTT. "We are excited to work together to help transition our customers to this IoT-as-a-Service model so they can quickly realize the business benefits across industries and around the globe," said Samuel Pasquier, VP of Product Management, Industrial IoT Networking, Cisco. Transforming Water Management Through Smart Solutions NTT and Cisco are developing solutions and go-to-market offers focusing on industries such as manufacturing, transportation, and healthcare, where there is a growing demand for edge computing and IoT solutions. The two companies are already deploying this advanced ‘ruggedized’ service to several customers including Compagnie Intercommunale Liégeoise des Eaux (CILE), a public water distribution company located in Belgium. NTT and Cisco have deployed thousands of LoRaWAN sensors across CILE’s infrastructure to provide remote visibility that improves operational efficiencies related to water quality, consumption, distribution, and maintenance. The solution also includes advanced technologies such as smart distribution networks, remote studying through smart meters, smart grid for remote management, connected IoT objects, and AI, delivered as a managed service. The network also provides the building blocks to support other sustainability use cases such as waste management, parking management, water quality and street light controls. "At CILE, we provide critical infrastructure for 24 cities in Belgium, which means efficiency, security and reliability are key," said William de Angelis, CIO and CDO at CILE. "With NTT and Cisco’s support, we have real-time insights into our facilities and distribution networks, including faster detection of leaks, allowing us to respond to issues instantaneously and expand the network to other sustainability use cases." NTT Ramps Up IoT Consulting and Services Business In a move to prioritize and scale IoT for clients and partners, NTT has activated an IOT-dedicated business unit bringing together deep expertise and capabilities from around the globe. The team of 1,000 consultants, engineers, enterprise architects, and sustainability experts will build, deploy, and manage more than 100 use cases in areas such as connected cars, fleet management, predictive maintenance, smart cities, digital twins, connected factories and more. "We’re doubling down on NTT’s IoT capabilities to meet customer demand," continued Yaung. "What we’re doing is pulling together our collective knowledge and skillsets, and putting the full power of NTT behind it, to better service our customers and the increasing need to outfit or retrofit their organizations with the connectivity and visibility they need to Boost day-to-day business operations." The global IoT market is expected to grow 19 percent in 2023, with a potential market size of $483 billion by 2027. #ENDS# About NTT Ltd. Visit us at services.global.ntt About Cisco Cisco and the Cisco logo are trademarks or registered trademarks of Cisco and/or its affiliates in the U.S. and other countries. A listing of Cisco's trademarks can be found at www.cisco.com/go/trademarks. Third-party trademarks mentioned are the property of their respective owners. The use of the word partner does not imply a partnership relationship between Cisco and any other company. View source version on businesswire.com: https://www.businesswire.com/news/home/20230518005431/en/ Contacts Media Contacts: Wireside Communications for NTT Ltd. Bengaluru NTT Ltd., an IT infrastructure and services company, and Cisco have announced a collaboration to develop and deploy joint solutions that pragmatically support large organisations’ sustainability goals. Leveraging NTT’s Edge as a Service portfolio and Cisco’s IoT capabilities, solutions developed by the two companies will offer real-time data insights, enhanced security, improved decision-making, and reduced operational costs through predictive maintenance, asset tracking, and supply chain management capabilities. “We are accelerating our IoT business initiatives to deliver a powerful portfolio of repeatable services that can be tailored to meet customer demand for these kinds of solutions. We’re in a unique position,” said Devin Yaung, SVP of Group Enterprise IoT Products and Services at NTT. The companies will deliver solutions that combine NTT’s Managed Services expertise, real-time analytics, automation capabilities at the edge, and the management of complex IT environments with Cisco’s IoT capabilities, including Low Power Wide Area Networking (LoRaWAN). NTT has bolstered its IoT consulting and services business, which brings together more than 1000 practitioners and 100 use cases in areas such as connected cars, fleet management, predictive maintenance, smart cities, digital twins, connected factories, utilities, and more. NTT has already trained more than 500 Cisco sales experts to accelerate its combined capabilities and go-to-market efforts, according to the company. “We are excited to work together to accelerate our customers to this IOT-as-a-Service model so they can quickly realise business benefits across industries and the globe,” said Samuel Pasquier, VP of Product Management, Industrial IoT Networking, Cisco. NTT Ltd., a leading IT infrastructure and services company, and Cisco, a worldwide leader in technology, today announced a collaboration to develop and deploy joint solutions that empower organizations to Boost operational efficiencies and advance sustainability goals. Leveraging NTT’s Edge as a Service portfolio and Cisco’s IoT capabilities, solutions developed by the two companies will offer real-time data insights, enhanced security, improved decision-making, and reduced operational costs through predictive maintenance, asset tracking, and supply chain management capabilities. The companies will deliver solutions that combine NTT’s Managed Services expertise, automation capabilities at the edge, and the management of complex IT environments, with Cisco’s IoT capabilities, including Low Power Wide Area Networking (LoRaWAN). As part of today’s news, NTT has bolstered its IoT consulting and services business that brings together more than 1000 practitioners and 100 use cases in areas such as connected cars, fleet management, predictive maintenance, smart cities, digital twins, connected factories, utilities and more. NTT has already trained more than 500 Cisco sales experts to accelerate the companies’ combined capabilities and go-to-market efforts. “We are accelerating our IoT business initiatives to deliver a powerful portfolio of repeatable services that can be tailored to meet customer demand for these kinds of solutions. We’re in a unique position,” said Devin Yaung, SVP of Group Enterprise IoT Products and Services at NTT. “We are excited to work together to help transition our customers to this IoT-as-a-Service model so they can quickly realize the business benefits across industries and around the globe,” said Samuel Pasquier, VP of Product Management, Industrial IoT Networking, Cisco. Transforming Water Management Through Smart Solutions NTT and Cisco are developing solutions and go-to-market offers focusing on industries such as manufacturing, transportation, and healthcare, where there is a growing demand for edge computing and IoT solutions. The two companies are already deploying this advanced ‘ruggedized’ service to several customers including Compagnie Intercommunale Liégeoise des Eaux (CILE), a public water distribution company located in Belgium. NTT and Cisco have deployed thousands of LoRaWAN sensors across CILE’s infrastructure to provide remote visibility that improves operational efficiencies related to water quality, consumption, distribution, and maintenance. The solution also includes advanced technologies such as smart distribution networks, remote studying through smart meters, smart grid for remote management, connected IoT objects, and AI, delivered as a managed service. The network also provides the building blocks to support other sustainability use cases such as waste management, parking management, water quality and street light controls. “At CILE, we provide critical infrastructure for 24 cities in Belgium, which means efficiency, security and reliability are key," said William de Angelis, CIO and CDO at CILE. “With NTT and Cisco’s support, we have real-time insights into our facilities and distribution networks, including faster detection of leaks, allowing us to respond to issues instantaneously and expand the network to other sustainability use cases.” NTT Ramps Up IoT Consulting and Services Business In a move to prioritize and scale IoT for clients and partners, NTT has activated an IOT-dedicated business unit bringing together deep expertise and capabilities from around the globe. The team of 1,000 consultants, engineers, enterprise architects, and sustainability experts will build, deploy, and manage more than 100 use cases in areas such as connected cars, fleet management, predictive maintenance, smart cities, digital twins, connected factories and more. “We’re doubling down on NTT’s IoT capabilities to meet customer demand,” continued Yaung. “What we’re doing is pulling together our collective knowledge and skillsets, and putting the full power of NTT behind it, to better service our customers and the increasing need to outfit or retrofit their organizations with the connectivity and visibility they need to Boost day-to-day business operations.” The global IoT market is expected to grow 19 percent in 2023, with a potential market size of $483 billion by 2027. |
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