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February 13, 2021

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Test Number : 70-333
Test Name : Deploying Enterprise Voice with Skype for Business 2015
Vendor Name : Microsoft
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Exam Title : Microsoft Certified Solutions Expert (MCSE) - Productivity Solutions Expert
Exam ID : 70-333
Exam Duration : 150 mins
Questions in test : 40-60
Passing Score : 700 / 1000
Official Training : 40409: Deploying Voice Workloads for Skype for Business Online and Server 2015 (five days)
Exam Center : Pearson VUE
Real Questions : Microsoft Deploying Enterprise Voice with Skype for Business 2015 Real Questions
VCE practice questions : Microsoft 70-333 Certification VCE Practice Test

Topic Details Weights Plan and design Skype for Business with Enterprise Voice Design Enterprise Voice topology
- Design mediation server collocation or placement, gateways, trunks, voice resiliency, mediation server dependencies, voice usage and traffic, DNS, and phone configuration Design call routing and Public Switched Telephone Network (PSTN) connectivity
- Design dial plans, routes, including location-based routing, normalization, voice policies, basic emergency dialing and notification, PSTN usage, and trunk configuration; design for call via work; define SIP trunk capacity requirements; design multiple media gateway support, trunk configuration; define outbound translation rules, inbound dial plan; qualify technology options from UCOIP Design voice applications
- Design call park, Response Group, delegation model, Response Group workflows; design private line and vacant number announcements Design unified messaging (UM)
- Design UM dial plans, normalization rules, UM auto-attendant, subscriber access, UM outbound dialing, and UM placement and capacity for on-premises and online Plan for network readiness and optimization
- Assess network requirements including Multiprotocol Label Switching (MPLS), virtual private network (VPN), multiple MPLS providers including ExpressRoute providers, asymmetric links, point-to-point wireless, internal NAT, TCP vs. UDP, and signaling vs. media traffic; plan for optimal conferencing traffic, capacity, Edge placement, assess QoS readiness including traffic policing and traffic shaping impact on RTC, DSCP, port based, scavenger class, best effort traffic class, and separate/converged networks; estimate network usage; analyze media scenarios for conference, peer-to-peer, PSTN, and capture traces for max jitter, average jitter, peak consecutive packet loss, average packet loss, and one-way network delay Design network services for Enterprise Voice
- Design Location Information Services (LIS) and Call Admission Control (CAC); plan for Media Bypass; design for QoS including port requirements for internal and external services; design and forecast network needs for sizing ExpressRoute Model and analyze Skype for Business traffic per site
- Predict and calculate service needs and growth, compare how different personas impact network requirements, and calibrate usage models based on customer usage and business requirements, including web, audio and video conferencing, PSTN, and peer-to peer calls; adjust business requirements, adjust network components (topology, capacity), and limit traffic volume or modify solution design; calculate traffic volume by using the Skype for Business bandwidth calculator for branch traffic, central site traffic, and remote user traffic Analyze policies and historical data network usage
- Analyze Service Level Agreements (SLAs) on network infrastructure, analyze impact of security policies, including firewalls, VPN tunnels, remote access, Direct Access, NAT, and Private VLANs, and assess appropriateness of current QoS policies for Skype for Business, average usage, peak usage, average drop, and peak packet loss; analyze historical call quality data; analyze bandwidth requirements for Skype for Business Online Plan and analyze simulation traffic results, and make recommendations
- Design site traffic generator endpoint placement/location, design site traffic generator transaction path, and design site traffic generator transaction volume per path; interpret baseline network characteristics and any variations, analyze simulation results in the context of a network (topology, QoS); recommend network reconfigurations, recommend modifications for QoS approach, and explain impact of observed network characteristics, including latency, packet loss, jitter, and bandwidth usage 30-35% Deploy and configure Enterprise Voice Configure network services for Enterprise Voice
- Configure Location Information Services (LIS), Call Admission Control (CAC) for voice, Call Admission Control (CAC) for video, DHCP for phone edition, QOS, and media bypass; configure ExpressRoute for Office 365 Configure voice applications
- Configure call park, Response Group workflows, Response Group queues, private line, and vacant number announcements, configure delegation; configure and enable PSTN Conferencing with ACP, Cloud PBX, PSTN Calling, Hybrid Voice infrastructure; port phone numbers to Microsoft as the carrier; configure users with cloud phone numbers Configure call routing
- Configure dial plans, routes, and trunks; apply voice policies, PSTN usages, and emergency dialing; call via work Configure unified messaging (UM) for Skype for Business and Cloud Voicemail
- Configure UM dial plans, the normalization rules, UM auto-attendant, subscriber access, and call answering rules; configure DNS records; configure Edge Server for integration with Office 365; manage and assign Hosted Voice Mail policies; enable users for Hosted Voice Mail; create Contact Objects for Hosted Voice Mail; configure Skype for Business Online Enterprise Voice users to have Cloud Voicemail Configure Enterprise Voice client features
- Configure delegation, simultaneous ring, team calling, and group call pickup, shared line appearance, call via work 30-35% Manage and troubleshoot Enterprise Voice Troubleshoot call setup and teardown
- Troubleshoot Skype for Business Server and Skype for Business Online internal phone calls (PC to PC), external phone calls (PC to Public Switched Telephone Network [PSTN]), inbound and outbound routing, network configuration, and internal and external clients; call via work Troubleshoot Enterprise Voice quality issues
- Analyze Call Detail Recording/ Quality of Experience (CDR/QOE) logs, analyze call flow by using Snooper, analyze call data quality using call quality methodology (CQM), troubleshoot third-party devices, QOS, and network bandwidth; analyze rate my call results; analyze and troubleshoot issues with Skype for Business Online Enterprise Voice users Troubleshoot Enterprise Voice configuration
- Analyze dial plans (normalization, translation), analyze session management (trunk routing); analyze policies, routes, and usages; troubleshoot external connectivity (gateways, SBA, PBX, SBC, PSTN) and media bypass; call admission control (CAC); call via work; troubleshoot delegation, simultaneous ring, team calling, and group call pickup; number porting Troubleshoot and analyze Enterprise Voice applications
- Troubleshoot call park, Response Groups, unassigned numbers, Exchange voicemail, and LIS and emergency calling implementation Troubleshoot universal communications (UC) devices and peripherals
- Troubleshoot device update issues, device connectivity issues (LPE + 3PIP), PIN authentication issues, peripherals, and VDI plug-in device pairing Monitor and manage Skype for Business
- Monitor call quality dashboard, monitoring server reports, QoE, synthetic transactions, and server health; monitor Rate My Call results 30-35%

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Microsoft Enterprise Practice Test

Why Digital corporations may still embody the role Of application Engineers in test to build "fine-First" items | 70-333 Real test Questions and genuine Questions

Peter Kartashov, Head of QA practice, EPAM Systems [NYSE:EPAM]

Peter Kartashov, Head of QA apply, EPAM methods [NYSE:EPAM]

With the regular emergence of new applied sciences and global groups focusing extra on digital company, the pace of digital transformation and the reduction of time-to-market existence cycles are making checking out and QA even more crucial. currently, verify automation debts for over 80 p.c of useful coverage for some hi-tech and resourceful corporations, while traditional commercial enterprise is catching up with the usual market expectations of over 60 p.c verify execution insurance with the aid of 2020. And so, they be aware of that the phenomenon of application test automation over the last two a long time will handiest proceed to develop. searching again at the history and evolution of verify automation can aid us have in mind what the function of trying out engineers will be in the future.

Industrial check automation begun from hardware, where it turned into embedded into its operation mode. The manner become fairly akin to what they use in unit exams, in smartly-designed and properly managed software, except that this diagnostic-level checking out became built right into a are living equipment as a required step previous to launch. The next evolution of test automation gave birth to toolkits, reminiscent of Rational robot and Mercury QTP, and all over that point, the predominate center of attention of checking out turned into on the UI level. New testing COTS carriers all started to emerge with more advantageous and more user-friendly performance, which resulted in market fragmentation and a lot of unmet expectations about automation. Over the remaining 10 years, rising hi-tech application organizations all started to remember the only option to construct sustainable automation, while producing their software straight away, become to construct it in parallel with their items and share the same know-how stack because the product itself. With the growth of Java and open source, many builders and automation engineers grew to become to building customized harnesses from scratch with the aid of combining quite a few open source or freeware libraries.

  ​The adoption of cognitive computing and desktop gaining knowledge of will deliver even stronger alternatives to trying out and deployment automation 

today, the trade has entered a paradigm shift with a new breed of cloud-primarily based and normally released items. The system of building utility, the infrastructure wherein it resides, and the product itself are so cohesive that they consider them as one indivisible asset. As such, checking out is now each a process driver and a part of the product assets, where they have to mobilize a full-scale satisfactory engineering follow. ironically, searching again at the place they started– with trying out and diagnostics constructed at once into working firmware – they at the moment are experiencing an analogous shift in the engineering of modern utility. by means of embedding automation into the product and stretching it across the entire product lifecycle, they add a shift-right part to creation utility assist, reminiscent of consumer comments, production analytics, diagnostics, and self-exams, apart from shift-left checking out all over active product building. The emergence of continual testing and the role of a application Engineer in test (SET), although, started in 2008, however describes the strategy as displacing guide testers and introducing a new position referred to as utility development Engineer in look at various (SDET), pioneered by Microsoft and then adapted by using Google as the SET role. youngsters, the contemporary cloud-based implementations that demand a continual trying out manner work more suitable with the SET strategy.

The function of an SET entails building a strong testing procedure into the product through providing full stack great engineering talents that, in addition to average test automation, carry some hybrid capabilities equivalent to:

• Co-engineering and co-managing with Dev leads and designers on coding greatest practices, conventions, and code insurance traceability, together with the rules for both dynamic and static code analysis; the SET position also brings technological integrity between developers and verify automation engineers via ensuring that these engineering practices are aligned and used as a result

• Leveraging previous information and real-time analytics to construct person-centric examine records and difficult product usage scenarios

• the usage of conventional-aim (similar to AWS) and really good cloud (reminiscent of mobile cloud, Selenium-in-cloud) capabilities to construct complicated execution thoughts throughout a lot of browsers, gadgets, places, mobile carriers, and contexts of use, with a view to maximize integration and compatibility look at various insurance

• advertising and incorporating the shift-left definition of “done” and the SDLC technique via assisting groups establish appropriate product testability from both the manner (how the product owner defines consumer stories and acceptance criteria) and the expertise standpoint (how underlying product architecture accommodates testing and integration)

• assisting and coordinating with DevOps engineers on building CI pipelines and computerized first-class gates with clear reporting, with a purpose to obtain a continual start process

• continuously discovering and coordinating premier equilibrium of examine insurance pyramid amongst unit, carrier, UI/UX, and conclusion-to-end integration trying out tiers; moreover, by leveraging the power of dependent traceability, units help to build productive test execution suites in line with potential impact/probability, as adversarial to full regression execution anytime

• Harnessing efficiency and reliability checking out tools which might be ultimately incorporated into the CI process

• constructing a high quality engineering culture throughout the total product lifecycle from product conceptualization to ongoing reside product assist to have full traceability from excessive-degree product definitions to individual traces of supply code

well-nigh speaking, digital businesses will require sooner reaction to person expectations and market competitors. units should be key in building incredibly adaptive, at all times-on testing machines. furthermore, the adoption of cognitive computing and computer gaining knowledge of will deliver even more suitable opportunities to trying out and deployment automation. With that shift, the business will possible circulation to the subsequent evolution of testing automation, where excessive-conclusion engineers with “high-quality first” mindsets will implementa a testing-for-exceptional system.

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