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Veritas VCS-411 : Administration of Veritas eDiscovery Platform 8.0 for Administrators Exam

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Test Number : VCS-411
Test Name : Administration of Veritas eDiscovery Platform 8.0 for Administrators
Vendor Name : Veritas
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VCS-411 test Format | VCS-411 Course Contents | VCS-411 Course Outline | VCS-411 test Syllabus | VCS-411 test Objectives


Exam Title : Veritas Certified Specialist (VCS) - eDiscovery
Exam ID : VCS-411
Exam Duration : 105 mins
Questions in test : 75-85
Passing Score : 69%
Exam Center : Pearson VUE
Real Questions : Veritas eDiscovery Platform Administration Real Questions
VCE practice test : Veritas VCS-411 Certification VCE Practice Test

System Administration
- Explain the core features and functionality of Symantec eDiscovery Platform and communicate its benefits.
- Describe the components of the installation prerequisites, and the process for installing/upgrading and configuring Symantec eDiscovery Platform.
- Describe which components require backup, how to recover, or how to configure the Symantec eDiscovery Platform.

Legal Hold
- Given a scenario, describe the procedures for creating and managing legal hold notices, including but not limited to; immediate and scheduled delivery, reminders, escalations, Notice Library, Mail-Merge, tracking, reporting, and releasing.
- Given a scenario, describe custodian management, including but not limited to; the custodian portal, surveys, survey response reports, and audit reports.
- Describe legal hold notice architecture, including but not limited to; Active Directory Integration and legal hold configuration.

Identification and Collection
- Describe the Interactive Data Map functionality, including but not limited to; mapping custodians to data sources, identifying potential sources of data, creating connections to sources, searching and browsing data by group, custodian, or data type.
- Describe the integrations with Enterprise Vault and Enterprise Vault.cloud, including but not limited to; Enterprise Vault Direct Collector, Enterprise Vault Collection Filters, and preserving in Enterprise Vault.
- Identify the correct collector and filter to use, including but not limited to; Network Collector, On-site Collector, Extended SharePoint Collections, Metadata filters, Keyword filters Collection filters and Collection Scheduler.
- Identify when to perform full collections, incremental collections or use collection templates and prepare data for processing with Symantec eDiscovery Platform.
- Confirm data collection and perform basic troubleshooting using Data Verification, Collection History, Microsoft Rights Management System and Environment Support and Collection Analytics.

Pre-Processing, Processing, Search and Analysis
- Performing pre-processing and processing, including but not limited to; setting up and performing discovery on data, configuring pre-processing options, applying processing settings, exceptions, jobs, troubleshooting, deduplication, Load File Import, Load File Configurator, and providing various language support.
- Describe the various search features, including but not limited to; search preview, search filters, search reports, saving searches, concept search, audio search, freeform search, and Automation Rules.
- Describe the various keyword search features, including but not limited to; search syntax, transparent search, multi-keyword searches, and advanced searches.
- Performing analysis on search results, including but not limited to; discussion threads, find similar, participant analytics, term analytics, and near-duplicate identification.

Review and Production
- Applying review concepts, including but not limited to; creating and managing tag lists, creating and managing folder lists, performing bulk-tagging operations, using Near-Native viewer, performing redaction and autoredaction, smart sampling, and review reporting.
- Performing production and export, including but not limited to; native and image-based productions, Bates stamping, integrated production folders, export and production management, slip sheets, Metadata Exports, Native-Only Exports, Production Export, and export and production scalability.
- Describe Transparent Predictive Coding, best practices, and sample workflows.

System and Case Management Reporting
- Managing cases, including but not limited to; create new cases, case analytics, multi-case architecture, configuration, and eDiscovery Dashboard.
- Using the reporting functionality in Symantec eDiscovery Platform, including but not limited to; lifecycle reporting, audit trail reporting, and activity reporting.
- Describe system management, including but not limited to; Clearwell Utility, Clearwell Commander, system settings, Symantec eDiscovery Platform services, distributed architecture (including sub-nodes, utility nodes, cluster master, and case home) and backup and restore.
- Managing users and custodians.



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Veritas eDiscovery study tips

solving the boundaries of synthetic Intelligence with Hybrid criminal document overview | VCS-411 test dumps and test Cram

reading Time: 6 minutes

synthetic intelligence (AI) and laptop learning applied sciences (considered a subset of AI) directly have become a huge part of their prevalent lives, frequently in techniques they don’t even realize. as an instance, the social media commercial that completely applies to you is powered by way of AI, and there are even machines that can predict and trade within the inventory market. These applied sciences are more and more standard in lots of scenarios, but the magnitude of human journey and competencies need to now not be unnoticed. frequently, the most useful and valuable results are executed through a hybrid of desktop studying and human intelligence.

here's certainly the case right through the felony doc review stage of digital discovery, or eDiscovery. overview is a vital step of the criminal method that contains mining ever-increasing mountains of statistics for evidence vital to a lawsuit, investigation, audit or regulatory review. The information first ought to be identified and amassed, then culled and reviewed earlier than being offered as proof in court or produced to a regulatory agency. in more and extra such experiences nowadays, laptop gaining knowledge of applied sciences are implemented to significantly increase each the pace and accuracy of that procedure.

Take the illustration of a evaluate of a hundred,000 files. people can manually evaluate about 500 or so files on a good day. So, a case involving 100,000 documents would take around 1,600 hours, or about two weeks for 20 americans. by way of assessment, if that equal group reviewed a random sampling of best about 10,000 of those files, computer getting to know can take the expertise gained from that and apply it to the final 90,000 documents in just a couple of minutes. whereas that manner also includes a variety of tweaks and tests to ensure accuracy, nevertheless, both the time required and associated expenses are lots less. analyze after study has proven that, when executed correctly, the results are pretty much as good or stronger than manual overview.

but there’s a capture (of route, isn’t there always?). laptop getting to know is simply as wise because the americans working it. It’s possible that AI will function without any human assistance sooner or later with recognize to a few of these initiatives, but meanwhile, AI’s success, as a minimum in legal document assessment, is absolutely reliant upon the validity of what it’s fed.

artificial intelligence in eDiscovery

So, how does AI work during this system, precisely? artificial intelligence is the general time period used to describe computer systems performing projects that could usually require human intelligence. The eDiscovery method, notwithstanding, commonly comprises laptop researching, which is a subset of AI in which the device makes predictions in accordance with human training. almost, with careful teaching from a person on a way to consider, the desktop can make selections about gigantic sets of information in a plenty shorter timeframe and with bigger accuracy than if humans have been performing by myself.

The category of laptop studying utilized in eDiscovery, most often referred to as know-how assisted overview (TAR), begins with humans reviewing hundreds of documents and deciding upon them as either imperative or non-significant. The utility learns from this community of human-reviewed files and uses the assistance to code the relaxation of the files, which will also be hundreds or even tens of millions of documents. whereas there are continually many other components that go into the doc evaluation manner, and there are a few methods that can be used, the simple aspects of TAR continue to be. The utility relies on the pleasant of that preliminary human input and could pass over important facts if the user makes blunders or doesn’t evaluate ample documents or a satisfactory variety of document forms, as an example.

a further advancement called emotionally clever AI searches for signals of emotion, reminiscent of fine or poor sentiment, intent, clarification, chance and force. extra really AI in nature, this expertise picks up on these emotional features through language, punctuation, phrasing and other clues. It additionally searches for abnormal behaviors, equivalent to standard communique outdoor of company hours or ordinary contact between two individuals (peculiarly in the event that they don’t commonly work collectively or are discussing delicate themes) — which may also be constructive in deciding on fraud or theft. while this branch is comparatively new to felony document stories, it's rapidly proving to be an effective tool, specially in investigatory concerns.

Involving the specialists

as a result of the have an effect on that humans’ choices have on TAR’s accuracy, it’s simple that the human reviewers are consultants on the document assessment procedures, well-versed in the discipline rely and details of the case, and normal with the intricacies of the TAR procedure itself. however most document review attorneys needn’t be taught in full depth the technical elements of TAR technologies (a unique set of certified usually runs that manner), some basic TAR skills regularly separate decent reviewers from remarkable ones. A deep understanding of each factor of doc evaluation – from the overview process and special issues one have to absorb that technique to allow TAR utilization to the applied sciences themselves — leads now not simplest to greater correct consequences, however additionally reduced costs and a a lot quicker timeline.

moreover, while AI has come an extended way in the final couple of many years, there are still shortcomings that need human consideration. TAR utility cannot effortlessly review pics (corresponding to tables and charts), complicated Excel spreadsheets or other really expert file kinds. while advanced attention technologies that determine aspects akin to skin tone do exist, they don’t quite simply integrate into document assessment platforms, and false positives are nonetheless usual.

whether to convey potential of definite felony issues or to assessment a variety of forms of advanced facts that AI can’t yet remember, human certified are nonetheless crucial for a hit doc overview.

advantages of a dedicated team

In average guide studies, law businesses and eDiscovery agencies have relied heavily on transient staffing of evaluation teams. but as we’ve discussed, TAR reviews are typically most correct when constructed by way of tremendously expert and smartly-educated reviewers. In my adventure, specifically when it comes to implementing computer researching into this manner, document evaluate is ideal and positive when dealt with with the aid of a small, constant team of attorneys with extensive abilities and experience. Working with a committed group raises the mission’s quality while decreasing time spent, costs incurred, mistakes caused by inexperience, and possibility of safety or confidentiality considerations.

groups that commonly face litigation, equivalent to assurance organizations, peculiarly advantage from a continuing, committed group that understands the enterprise’s daily company and even inner workings. As that core community reviews documents throughout dissimilar legal pursuits for the same enterprise, the reviewers become regular with ordinary jargon, nicknames, abbreviations, items and functions, or other language selected to the enterprise or trade. they could then leverage all of that skills to make the machine researching techniques improved and quicker with each and every new count. They’ll also Excellerate relationships with key gamers, such as company executives, established tips, backyard assistance and paralegals, which allows for brief decision of any issues that might also arise.

AI nevertheless has limitations

while AI has come a long manner, it nonetheless doesn’t capture the entire characteristics that people present. for instance, it’s at the moment unimaginable for know-how to have historical past knowledge or event in legal fields corresponding to highbrow property, contract disputes or classification movements, and it definitely doesn’t have the problem-fixing capabilities of a human.

because of these limitations, courts will seemingly continue requiring human involvement throughout document evaluation for the foreseeable future — mainly in view that the big penalties prison court cases have on people, corporations, governments and international locations. This requirement typically works in each and every birthday celebration’s want, as it’s a lot more convenient to justify using TAR when it’s backed up by means of a incredibly experienced and certified crew of specialists. For now, people will stick with it as AI’s instructor and its first-rate handle instrument all through prison doc assessment.

It’s important to be aware that artificial intelligence is a device to streamline the eDiscovery manner. in the same manner that constructing a desk is an awful lot greater tricky with no hammer, AI with out a human as its guiding tool is tons less a hit in carrying out a selected goal. devoid of the right mixture of expertise and individuals, eDiscovery would take longer, be extra labor-intensive and produce poorer pleasant usual effects. With this in mind, a hybrid method to document evaluate is the most useful approach to supply relevant records for any felony event.

About Brian Schrader

Brian Schrader, Esq., is President & CEO of BIA (www.biaprotect.com), a pacesetter in legit, resourceful and affordable eDiscovery features. With early career journey in advice management, computer expertise and the legislation, Brian co-centered BIA in 2002 and has because developed the company’s attractiveness as an trade pioneer and a depended on accomplice for companies and legislations establishments around the globe. He will also be reached at bschrader@biaprotect.com.


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