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Exam Number : 250-428
Exam Name : Administration of Symantec Endpoint Protection 14
Vendor Name : Symantec
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250-428 test Format | 250-428 Course Contents | 250-428 Course Outline | 250-428 test Syllabus | 250-428 test Objectives

Exam ID : 250-428
Exam Title : Administration of Symantec Endpoint Protection 14
Questions: 65 - 75
Exam Duration: 90 minutes
Passing Score: 70%
Languages: English

The Symantec Endpoint Protection 14: Plan and Implement course is designed for the network, IT security, and systems administration professional in a Security Operations position tasked with planning and implementing a Symantec Endpoint Protection environment. This course covers how to architect and size a Symantec Endpoint Protection environment, install or upgrade the Symantec Endpoint Protection Manager (SEPM), benefit from a SEPM disaster recovery plan, and manage replication and failover. The class also covers how to deploy new endpoints and upgrade existing Windows, Mac, and Linux endpoints.

Course Objectives
By the completion of this course, you will be able to:
• Architect a Symantec Endpoint Protection Environment
• Prepare and deliver a successful Symantec Endpoint Installation
• Build a Disaster Recovery plan to ensure successful SEPM backups and restores
• Manage failover and replication
• Deploy endpoint clients

• Course environment
• Lab environment
Preparing and Delivering a Successful Symantec Endpoint Protection Implementation
• Architecting and Sizing the Symantec Endpoint Protection Environment
• Installing the SEPM
• Benefiting from a SEPM Disaster Recovery Plan
• Managing Replication and Failover
Discovering Endpoint Client Implementation and Strategies
• Implementing the Best Method to Deploy Windows, Mac, and Linux Endpoints
• Migrating a SEP 12.1.6 client to SEP 14

Symantec Endpoint Protection 14.x: Configure and Protect

The Symantec Endpoint Protection 14.x: Configure and Protect course is designed for the network, IT security, and systems administration professionals in a Security Operations position who are tasked with configuring optimum security settings for endpoints protected by Symantec Endpoint Protection 14. This class brings context and examples of attacks and tools used by cybercriminals.

• Course environment
• Lab environment
Securing Endpoints against Network-Based Attacks
Introducing Network Threats
 Describing how Symantec Endpoint Protection protects each layer of the network stack
 Discovering the tools and methods used by attackers
 Describing the stages of an attack Protecting against Network Attacks and Enforcing Corporate Policies using the Firewall Policy
 Preventing network attacks
 Examining Firewall Policy elements
 Evaluating built-in rules
 Creating custom firewall rules
 Enforcing corporate security policy with firewall rules
 Blocking network attacks using protection and stealth settings
 Configuring advanced firewall feature Blocking Threats with Intrusion Prevention
 Introducing Intrusion Prevention technologies
 Configuring the Intrusion Prevention policy
 Managing custom signatures
 Monitoring Intrusion Prevention events

Introducing File-Based Threats
 Describing threat types
 Discovering how attackers disguise their malicious applications
 Describing threat vectors
 Describing Advanced Persistent Threats and a typical attack scenario
 Following security best practices to reduce risks Preventing Attacks with SEP Layered Security
 Virus and Spyware protection needs and solutions
 Describing how Symantec Endpoint Protection protects each layer of the network stack
 Examining file reputation scoring
 Describing how SEP protects against zero-day threats and threats downloaded through files and email
 Describing how endpoints are protected with the Intelligent Threat Cloud Service
 Describing how the emulator executes a file in a sandbox and the machine learning engines role and function
Securing Windows Clients
 Platform and Virus and Spyware Protection policy overview
 Tailoring scans to meet an environments needs
 Ensuring real-time protection for clients
 Detecting and remediating risks in downloaded files
 Identifying zero-day and unknown threats
 Preventing email from downloading malware
 Configuring advanced options
 Monitoring virus and spyware activity Securing Mac Clients
 Touring the SEP for Mac client
 Securing Mac clients
 Monitoring Mac clients

Securing Linux Clients
 Navigating the Linux client
 Tailoring Virus and Spyware settings for Linux clients
 Monitoring Linux clients Controlling endpoint integrity and compliance
Providing Granular Control with Host Integrity
 Ensuring client compliance with Host Integrity
 Configuring Host Integrity
 Troubleshooting Host Integrity
 Monitoring Host Integrity
Controlling Application and File Access
 Describing Application Control and concepts
 Creating application rulesets to restrict how applications run
 Monitoring Application Control events Restricting Device Access for Windows and Mac Clients
 Describing Device Control features and concepts for Windows and Mac clients
 Enforcing access to hardware using Device Control
 Discovering hardware access policy violations with reports, logs, and notifications
Hardening Clients with System Lockdown
 What is System Lockdown=>
 Determining to use System Lockdown in Whitelist or Blacklist mode
 Creating whitelists for blacklists
 Protecting clients by testing and Implementing System Lockdown.
Enforcing Adaptive Security Posture
Customizing Policies based on Location
 Creating locations to ensure the appropriate level of security when logging on remotely
 Determining the criteria and order of test before assigning policies
 Assigning policies to locations
 Monitoring locations on the SEPM and SEP client
Managing Security Exceptions
 Creating file and folder exceptions for different scan types
 Describing the automatic exclusion created during installation
 Managing Windows and Mac exclusions
 Monitoring security exceptions

Symantec Endpoint Protection 14.x: Manage and Administer

The Symantec Endpoint Protection 14.x: Manage and Administer course is designed for the network, IT security, and systems administration professional in a Security Operations position tasked with the day-to-day operation of the SEPM management console. The class covers configuring sever-client communication, domains, groups, and locations and Active Directory integration. You also learn how Symantec Endpoint Protection uses LiveUpdate servers and Group Update Providers to deliver content to clients. In addition, you learn how to respond to incidents using monitoring and reporting

Course Objectives
By the completion of this course, you will be able to:
• Describe how the Symantec Endpoint Protection Manager (SEPM) communicates with clients and make appropriate changes as necessary.
• Design and create Symantec Endpoint Protection group structures to meet the needs of your organization.
• Respond to threats using SEPM monitoring and reporting.
• Analyze the content delivery system (LiveUpdate).
• Reduce bandwidth consumption using the best method to deliver content updates to clients.
• Configure Group Update Providers.
• Create location aware content updates
. • Use Rapid Release definitions to remediate a virus outbreak.

Monitoring and Managing Endpoints
Managing Console Access and Delegating
• Creating administrator accounts
• Managing administrators and delegating responsibility
Managing Client-to-SEPM Communication
• Analyzing client-to-SEPM communication
• Restoring communication between clients and SEPM
• Verifying clients are online with the SEPM
Managing the Client Architecture and Active
Directory Integration
• Describing the interaction between sites, domains, and groups
• Managing groups, locations, and policy inheritance
• Assigning policies to multiple locations
• Importing Active Directory Organizational Units
• Controlling access to client user interface settings
Managing Clients and Responding to Threats
• Identifying and verifying the protection status for all computers
• Monitoring for health status and anomalies
• Responding to incidents
Monitoring the Environment and Responding to Threats
• Monitoring critical log data
• Identifying new incidents
• Responding to incidents
• Proactively respond to incidents
Creating Incident and Health Reports
• Reporting on your environments security status
• Reporting on the health of your environment
Enforcing Content Updates on
Endpoints using the Best Method
Introducing Content Updates using LiveUpdate
 Describing the LiveUpdate ecosystem
 Configuring LiveUpdate sources
 Troubleshooting LiveUpdate
 Examining the need for an internal LiveUpdate
Administration server
 Describe the high-level steps to configure an internal
LiveUpdate server
Analyzing the SEPM Content Delivery System
 Describing content updates
 Configuring LiveUpdate on the SEPM and clients
 Monitoring a LiveUpdate session
 Managing content on the SEPM
 Monitoring content distribution for clients
Managing Group Update Providers
 Identifying the advantages of using group update providers
 Adding group update providers
 Adding multiple and explicit group update providers
 Identifying and monitoring group update providers
 Examining group update provider health and status
Configuring Location Aware Content Updates
 Examining location awareness
 Configuring location aware content updates
 Monitoring location aware content updates
Managing Certified and Rapid Release Definitions
 Managing Certified SEPM definitions from Symantec
Security Response
 Managing Certified Windows client definitions from Symantec Security Response
 Managing Rapid Release definitions from Symantec Security Response
 Managing Certified and Rapid Release definitions from Symantec Security Response for Mac and Linux clients
 Using static definitions in scripts to get content

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Interview: Frank Cohen on FastSOA | 250-428 test Questions and test dumps

InfoQ nowadays publishes a one-chapter excerpt from Frank Cohen's e-book  "FastSOA". On this event, InfoQ had a chance to check with Frank Cohen, creator of the FastSOA methodology, about the concerns when attempting to technique XML messages, scalability, the use of XQuery within the center tier, and doc-object-relational-mapping.InfoQ: are you able to briefly clarify the ideas in the back of "FastSOA"?

Frank Cohen: For the past 5-6 years I actually have been investigating the influence a typical Java developer's choice of expertise, protocols, and patterns for constructing capabilities has on the scalability and performance of the ensuing utility. as an example, Java builders today have a choice of 21 distinctive XML parsers! each and every one has its own scalability, efficiency, and developer productivity profile. So a developer's alternative on technology makes a big effect at runtime.

I looked at disbursed methods that used message oriented middleware to make far flung system calls. Then I looked at cleaning soap-based internet functions. And most lately at relaxation and AJAX. These experiences led me to examine SOA scalability and performance developed using application server, enterprise provider bus (ESB,) company process execution (BPEL,) and enterprise integration (BI) tools. across all of these applied sciences I discovered a constant theme: at the intersection of XML and SOA are tremendous scalability and performance problems.

FastSOA is a examine methodology and set of architectural patterns to discover and resolve scalability and performance problems. The patterns teach Java builders that there are native XML technologies, such as XQuery and native XML persistence engines, that should be regarded in addition to Java-simplest solutions.

InfoQ: What's "speedy" about it? ;-)

FC: First off, let me describe the extent of the difficulty. Java developers building net enabled utility today have lots of selections. they have all heard about provider Oriented architecture (SOA), net functions, rest, and AJAX options. while there are a lot of distinctive and competing definitions for these, most Java developers I talk to are expecting that they will be working with objects that message to different objects - in the neighborhood or on some far off server - the use of encoded statistics, and infrequently the encoded records is in XML structure.

the nature of those interconnected services we're constructing capacity their software needs to address messages that will also be small to significant and easy to complicated. consider the performance penalty of using a cleaning soap interface and streams XML parser (StAX) to deal with an easy message schema the place the message size grows. a modern and high priced multi-processor server that comfortably serves forty to 80 internet pages per 2d serves as little as 1.5 to 2 XML requests per second.

Scalability Index

devoid of some sort of remediation Java application commonly slows to a crawl when managing XML information as a result of a mismatch between the XML schema and the XML parser. as an example, they checked one soap stack that instantiated 14,385 Java objects to deal with a request message of 7000 bytes that consists of 200 XML aspects.

Of path, titling my work SlowSOA did not sound pretty much as good. FastSOA offers a means to clear up many of the scalability and performance complications. FastSOA makes use of native XML expertise to deliver service acceleration, transformation, and federation functions within the mid-tier. as an instance, an XQuery engine offers a soap interface for a carrier to handle decoding the request, transform the request facts into some thing extra effective, and routes the request to a Java object or one other provider.

InfoQ: One alternative to XML databinding in Java is using XML technologies, akin to XPath or XQuery. Why muddy the water with XQuery? Why no longer just use Java know-how?

FC:We're all after the identical basic dreams:

  • good scalability and efficiency in SOA and XML environments.
  • speedy construction of utility code.
  • flexible and straightforward preservation of application code as the atmosphere and desires trade.
  • In SOA, internet provider, and XML domains I locate the normal Java selections don't get me to all three dreams.

    Chris Richardson explains the area mannequin trial in his publication POJOs in action. The area model is a favored pattern to build web applications and is being used by means of many developers to construct SOA composite applications and data services.


    The area mannequin divides into three portions: A presentation tier, an utility tier, and an information tier. The presentation tier uses an internet browser with AJAX and RSS capabilities to create a wealthy user interface. The browser makes a mixture of HTML and XML requests to the application tier. also on the presentation tier is a soap-based net carrier interface to allow a consumer equipment to access services directly, similar to a ingredients ordering function for a brand's provider.

    on the software tier, an enterprise Java Bean (EJB) or simple-historical Java object (Pojo) implements the enterprise common sense to reply to the request. The EJB makes use of a model, view, controller (MVC) framework - for example, Spring MVC, Struts or Tapestry - to reply to the request with the aid of generating a response internet web page. The MVC framework makes use of an object/relational (O/R) mapping framework - as an instance Hibernate or Spring - to save and retrieve facts in a relational database.

    I see issue areas that cause scalability and performance complications when the use of the area mannequin in XML environments:

  • XML-Java Mapping requires more and more more processor time as XML message measurement and complexity grows.
  • every request operates the complete service. as an example, time and again the person will investigate order status prior to any fame alternate is simple. If the gadget kept tune of the most latest response's time-to-are living length then it don't have to function all the carrier to check the most up to now cached response.
  • The dealer application requires the request message to be in XML form. The data the EJB prior to now processed from XML into Java objects now must be converted back into XML features as part of the request message. Many Java to XML frameworks - as an instance, JAXB, XMLBeans, and Xerces ? require processor intensive transformations. additionally, I locate these frameworks difficult me to write difficult and needlessly complicated code to operate the transformation.
  • The service persists order guidance in a relational database the use of an object-relational mapping framework. The framework transforms Java objects into relational rowsets and performs joins amongst diverse tables. As object complexity and size grows my research indicates many builders deserve to debug the O/R mapping to enrich pace and efficiency.
  • under no circumstances am I advocating a circulation far from your present Java equipment and programs. there is a whole lot they will do to resolve these problems devoid of throwing anything else out. as an example, they may introduce a mid-tier provider cache using XQuery and a native XML database to mitigate and accelerate many of the XML area selected requests.


    The expertise to the usage of the FastSOA structure as a mid-tier carrier cache is in its skill to shop any customary classification of records, and its energy in right away matching services with units of advanced parameters to effectively determine when a service request will also be serviced from the cache. The FastSOA mid-tier provider cache architectures accomplishes this by means of protecting two databases:

  • carrier Database. Holds the cached message payloads. as an instance, the provider database holds a cleaning soap message in XML kind, an HTML net web page, text from a short message, and binary from a JPEG or GIF picture.
  • policy Database. Holds instruments of enterprise logic that seem to be into the provider database contents and make decisions on servicing requests with facts from the carrier database or passing during the request to the application tier. for example, a policy that receives a cleaning soap request validates protection information within the cleaning soap header to validate that a user may additionally receive up to now cached response information. In one other illustration a coverage exams the time-to-are living price from a inventory market rate quote to look if it could respond to a request from the inventory value saved within the provider database.
  • FastSOA makes use of the XQuery records model to put in force policies. The XQuery information model supports any frequent class of document and any regularly occurring dynamic parameter used to fetch and assemble the document. Used to enforce guidelines the XQuery engine permits FastSOA to correctly check commonplace standards of the data in the service cache and the flexibleness of XQuery makes it possible for for user-driven fuzzy pattern matches to efficaciously represent the cache.

    FastSOA uses native XML database expertise for the provider and coverage databases for efficiency and scalability motives. Relational database expertise delivers adequate efficiency to persist policy and service facts in a mid-tier cache offered the XML message schemas being saved are consistent and the message sizes are small.

    InfoQ: What forms of efficiency merits does this bring?

    FC: I carried out a scalability verify to contrast native XML know-how and Java know-how to enforce a provider that receives cleaning soap requests.

    TPS for Service Interface

    The look at various varies the dimension of the request message among three tiers: sixty eight k, 202 okay, 403 k bytes. The test measures the roundtrip time to reply to the request on the consumer. The verify consequences are from a server with dual CPU Intel Xeon 3.0 Ghz processors operating on a gigabit switched Ethernet network. I implemented the code in two techniques:

  • FastSOA approach. uses native XML expertise to provide a soap carrier interface. I used a industrial XQuery engine to expose a socket interface that receives the cleaning soap message, parses its content, and assembles a response cleaning soap message.
  • Java technique. makes use of the cleaning soap binding proxy interface generator from a favored commercial Java utility server. a simple Java object receives the cleaning soap request from the binding, parses its content the use of JAXB created bindings, and assembles a response soap message the usage of the binding.
  • The consequences exhibit a 2 to 2.5 instances performance growth when using the FastSOA approach to reveal carrier interfaces. The FastSOA components is sooner because it avoids lots of the mappings and transformations that are carried out in the Java binding strategy to work with XML information. The greater the complexity and dimension of the XML facts the better may be the efficiency improvement.

    InfoQ: may not these complications get less difficult with more latest Java equipment?

    FC: I bear in mind listening to Tim Bray, co-inventor of XML, extolling a big neighborhood of utility builders in 2005 to go out and write something XML codecs they vital for their purposes. examine all the different leisure and AJAX linked schemas that exist these days. they are all different and a lot of of them are relocating aims over time. due to this fact, when working with Java and XML the ordinary application or carrier should contend with three statistics of life:

  • there is no gatekeeper to the XML schemas. So a message in any schema can arrive at your object at any time.
  • The messages can be of any size. for example, some messages could be very brief (under 200 bytes) while some messages can be significant (improved than 10 Mbytes.)
  • The messages use fundamental to advanced schemas. as an instance, the message schema might also have very few stages of hierarchy (less than 5 little ones for every point) whereas different messages could have varied ranges of hierarchy (greater than 30 babies.)
  • What's necessary is a simple way to devour any measurement and complexity of XML facts and to with ease retain it over time because the XML alterations. This sort of changing landscape is what XQuery turned into created to tackle.

    InfoQ: Is FastSOA only about improving service interface efficiency?

    FC: FastSOA addresses these complications:

  • Solves cleaning soap binding efficiency problems via reducing the want for Java objects and extending using native XML environments to provide cleaning soap bindings.
  • Introduces a mid-tier carrier cache to provide SOA carrier acceleration, transformation, and federation.
  • makes use of native XML persistence to clear up XML, object, and relational incompatibility.
  • FastSOA Pattern

    FastSOA is an structure that offers a mid-tier carrier binding, XQuery processor, and native XML database. The binding is a native and streams-based XML facts processor. The XQuery processor is the precise mid-tier that parses incoming files, determines the transaction, communicates with the ?native? service to obtain the kept information, serializes the statistics to XML and outlets the records into a cache whereas recording a time-to-reside length. while here's an XML oriented design XQuery and native XML databases handle non-XML information, including photographs, binary information, and attachments. An equally essential advantage to the XQuery processor is the ability to define guidelines that function on the facts at runtime in the mid-tier.


    FastSOA gives mid-tier transformation between a client that requires one schema and a carrier that best provides responses the use of a special and incompatible schema. The XQuery within the FastSOA tier transforms the requests and responses between incompatible schema forms.


    finally, when a service often must aggregate the responses from varied services into one response, FastSOA offers carrier federation. for example, many content publishers such as the ny instances provide new articles the usage of the prosperous site Syndication (RSS) protocol. FastSOA may also federate information analysis articles posted on a web web site with late breaking news studies from a few RSS feeds. This may also be executed to your software however is more advantageous executed in FastSOA since the content (information shops and RSS feeds) continually encompass time-to-are living values that are ideal for FastSOA's mid-tier caching.

    InfoQ: are you able to elaborate on the complications you see in combining XML with objects and relational databases?

    FC: while i like to recommend using a native XML database for XML persistence it is feasible to be a hit using a relational database. cautious consideration to the exceptional and nature of your application's XML is required. for example, XML is already familiar to express documents, document formats, interoperability specifications, and repair orchestrations. There are even arguments put ahead in the software construction group to represent provider governance in XML kind and operated upon with XQuery strategies. In a world full of XML, they application builders must ask if it makes sense to make use of relational persistence engines for XML information. believe these general questions:

  • How intricate is it to get XML records right into a relational database?
  • How elaborate is it to get relational records to a provider or object that wants XML statistics? Can my database retrieve the XML statistics with lossless fidelity to the normal XML records? Will my database deliver desirable efficiency and scalability for operations on XML facts saved within the database? Which database operations (queries, adjustments, advanced joins) are most expenses when it comes to efficiency and required substances (cpus, network, reminiscence, storage)?

    Your answers to these questions types a standards through which it'll make sense to use a relational database, or in all probability no longer. The option to relational engines are native XML persistence engines comparable to eXist, Mark common sense, IBM DB2 V9, TigerLogic, and others.

    InfoQ: What are the core ideas behind the PushToTest methodology, and what is its relation to SOA?

    FC: It often surprises me how few companies, institutions, and agencies have a technique to examine functions for scalability and efficiency. One fortune 50 company asked a summer time intern they wound up hiring to run a number of performance tests when he had time between different assignments to investigate and determine scalability complications in their SOA application. That changed into their total method to scalability and performance trying out.

    The business value of running scalability and performance tests comes as soon as a company formalizes a check components that contains here:

  • choose the appropriate set of check circumstances. for example, the verify of a varied-interface and excessive extent carrier might be distinct than a carrier that handles periodic requests with huge message sizes. The verify needs to be oriented to handle the conclusion-person dreams in the usage of the provider and convey actionable knowledge.
  • correct verify runs. figuring out the scalability and efficiency of a provider requires dozens to a whole bunch of verify case runs. advert-hoc recording of look at various outcomes is unsatisfactory. verify automation tools are abundant and often free.
  • Make the appropriate conclusions when analyzing the consequences. realizing the scalability and efficiency of a provider requires knowing how the throughput measured as Transactions Per second (TPS) on the service consumer adjustments with accelerated message measurement and complexity and elevated concurrent requests.
  • All of this requires plenty more than an advert-hoc method to attain helpful and actionable competencies. So I built and posted the PushToTest SOA verify methodology to support application architects, developers, and testers. The formulation is described on the PushToTest.com internet web page and that i hold an open-supply look at various automation device referred to as PushToTest TestMaker to automate and operate SOA exams.

    PushToTest provides global capabilities to its valued clientele to make use of their components and tools to deliver SOA scalability capabilities. frequently they are a success convincing an business or dealer that contracts with PushToTest for primary analysis to allow us to publish the research below an open supply license. for example, the SOA performance package comes with the encoding trend, XML parser, and use cases. The package is obtainable for gratis down load at: http://www.pushtotest.com/Downloads/kits/soakit.html and older kits are at http://www.pushtotest.com/Downloads/kits.

    InfoQ: Thanks a lot to your time.

    Frank Cohen is the main authority for trying out and optimizing software developed with provider Oriented architecture (SOA) and internet service designs. Frank is CEO and founding father of PushToTest and inventor of TestMaker, the open-supply SOA verify automation tool, that helps application developers, QA technicians and IT managers keep in mind and optimize the scalability, performance, and reliability of their systems. Frank is creator of a few books on optimizing tips methods (Java trying out and Design from Prentice hall in 2004 and FastSOA from Morgan Kaufmann in 2006.) For the past 25 years he led some of the software industry's most successful products, including Norton Utilities for the Macintosh, Stacker, and SoftWindows. He begun through writing working programs for microcomputers, assisting set up video games as an trade, assisting set up the Norton Utilities franchise, leading Apple's efforts into middleware and cyber web applied sciences, and turned into major architect for the solar community Server. He cofounded Inclusion.internet (OTC: IINC), and TuneUp.com (now Symantec net functions.) Contact Frank at fcohen@pushtotest.com and http://www.pushtotest.com.

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