Vendor | : | IBM |
Exam Code | : | 000-998 |
Exam Name | : | WebSphere Message Broker V6.0, System Admin |
Questions and Answers | : | 102 Q & A |
Updated On | : | February 21, 2019 |
PDF Download Mirror | : | Pass4sure 000-998 Dump |
Get Full Version | : | Pass4sure 000-998 Full Version |
000-998 exam Dumps Source : WebSphere Message Broker V6.0, System Admin
Test Code : 000-998
Test Name : WebSphere Message Broker V6.0, System Admin
Vendor Name : IBM
Q&A : 102 Real Questions
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FRAMINGHAM, MA--(Marketwired - Jun 11, 2013) - Correlsense, a number one IT monitoring software business, nowadays added SharePath for IBM® WebSphere Message broker (WMB). This latest enhancement to SharePath 3.0, the company's business-category APM answer for managing complex interconnected purposes, is most effective for any company relying on IBM middleware for its transactional spine.
As functions become increasingly connected, groups are employing enterprise provider Buses (ESBs) to deal with the communications between disparate applications and functions. the usage of an ESB, besides the fact that children, introduces new management challenges. They are often decoupled from the core application and execute company good judgment and code which provides complexity while expanding the time to notice and isolate efficiency concerns. unlike other middleware management options that center of attention on infrastructure monitoring, SharePath for IBM WebSphere Message broker presents greater granular visibility into the finished move of particular person message flows into, inside and out of the ESB. This gives indisputable proof about where performance complications and mistakes happen, even if within message broking service, in which node, or in the backend features or applications.
SharePath follows every message circulation via its nodes and external features, and logs all this special tips in a scalable big statistics repository, including parameters, values and exception blunders of each and every execution. besides huge constructed-in logging, auditing, and monitoring of all messages, SharePath offers trending and change analysis to track performance over time.
SharePath for WebSphere Message broking service offers middleware owners, IT operations and production support groups the potential to without delay take into account dependencies and establish middleware bottlenecks. Most particularly, SharePath for IBM WebSphere Message broking service:
"SharePath for IBM WebSphere Message broking service empowers agencies to benefit handle over a critical enterprise element," observed Nir Livni, VP of products. "companies the usage of SharePath now not should build wide, costly and mistake-inclined logging and tracking mechanisms to keep in mind what took place to a selected message and no matter if it succeeded or failed."
SharePath for IBM WebSphere Message broking service is purchasable instantly as a standalone offering or as a part of an entire conclusion-to-conclusion APM solution in response to SharePath 3.0. more counsel will also be discovered at http://www.correlsense.com/options/enterprise-want/sharepath-for-ibm-websphere-message-broker/
About Correlsense Correlsense develops utility performance management and IT monitoring software. it is the APM made of choice for business and IT operations managers that depend on complicated and significant business functions. Correlsense paints a complete and dynamic image of IT carrier levels and performance for applications that span mobile, SaaS, cloud, information middle and legacy mainframes. Correlsense was centered in 2005, is privately held and SharePath consumers include some of the world's biggest monetary, telecom and retail enterprises. For greater assistance, consult with www.correlsense.com.
A vulnerability became present in IBM App join, Integration Bus and WebSphere Message broking service (software Server application) and categorised as important. This challenge influences a part of the component XML information Handler. The manipulation with an unknown input leads to a privilege escalation vulnerability (XXE). using CWE to declare the problem ends up in CWE-611. Impacted is confidentiality, integrity, and availability.
The weak point was launched 02/04/2019. it is possible to read the advisory at change.xforce.ibmcloud.com. The identification of this vulnerability is CVE-2018-1801 when you consider that 12/13/2017. The attack can be initiated remotely. The technical particulars are unknown and an make the most isn't publicly obtainable. The pricing for an exploit could be around USD $25k-$100k at the moment (estimation calculated on 02/05/2019).
There isn't any assistance about possible countermeasures time-honored. It could be advised to substitute the affected object with an choice product.
CPE CVSSv3 VulDB Meta Base rating: 6.3VulDB Meta Temp rating: 6.threeVulDB Base score: ≈6.3VulDB Temp rating: ≈6.3VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv2 VulDB Base score: 🔒VulDB Temp score: 🔒VulDB Reliability: 🔍Exploiting classification: Privilege escalation / XXE (CWE-611)native: NoRemote: yesAvailability: 🔒
cost Prediction: 🔍latest rate Estimation: 🔒
chance Intelligence chance: 🔍Adversaries: 🔍Geopolitics: 🔍economic climate: 🔍Predictions: 🔍moves: 🔍 Countermeasures advised: no mitigation known0-Day Time: 🔒 Timeline 12/13/2017 CVE assigned02/04/2019 Advisory disclosed02/05/2019 VulDB entry created02/05/2019 VulDB closing update resourcesAdvisory: change.xforce.ibmcloud.comConfirmation: 🔒CVE: CVE-2018-1801 (🔒)
accessCreated: 02/05/2019Complete: 🔍Lien vers l'article supply
Article rating:
March 17, 2008 02:45 PM EDTReads:
6,328SOA software introduced that it has licensed IBM WebSphere Message broking service as a ruled provider Platform. This certification enables valued clientele to use IBM WebSphere Message broking service to put into effect and implement governance policies for enterprise internet services providing reporting information to permit a closed-loop audit method as a part of their business SOA.
certified ruled service Platform popularity capacity that customers can be confident that their platforms might not compromise the fidelity of the governance techniques and structures described in an business SOA program.
SOA application's Workbench and service manager be sure that IBM WebSphere Message broking service can facilitate and benefit from the integrated SOA Governance Automation finest practices:
SOA software provides a custom palette for the IBM WebSphere Message broker Toolkit. The nodes can be dragged and dropped into the acceptable points in a manner move and provide the whole performance of the Agent for ultimate-mile coverage enforcement, and the Delegate for first-mile policy implementation.
"we're comfortable to announce the mixing of our integrated SOA Governance Automation products with IBM WebSphere Message broking service," mentioned Frank Martinez, executive vp of SOA application. "The certification of IBM WebSphere Message broking service as a ruled carrier Platform gives customers self belief that their present investments in IBM WebSphere Message broking service hold the fidelity of the governance fashions, constructions and mechanisms helping their commercial enterprise SOA application."
SOA application and IBMIBM valued clientele leverage SOA software for seamless, heterogeneous SOA Governance, safety and management integration with their IBM Middleware infrastructure to ensure interoperability across disparate companions and systems. SOA application's items give uniform lifecycle and policy governance across all latest platform investments with requisites aid for Governance automation and trust enablement and mediation.
SOA software's products work seamlessly with IBM's WebSphere product family unit together with WSRR, DataPower, process Server, utility Server, and Message broking service.
SOA World magazine information Desk trawls the area of disbursed computing and SOA-connected developments for the newest observe on technologies, standards, products, and capabilities and brings key suggestions to you in a well timed and convenient summary kind.
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Oct 18, 2016
In the previous blog, we gave an overview of the different messaging protocols available to us (AMQP & JMS) and listed each one’s benefits and issues. In this blog, we intend throwing light on the different messaging solutions available in the market such as Kafka, RabbitMQ, Cloud Messaging solutions such as Amazon SQS and Google Pub Sub, Container built in messaging such as Oracle M)M in Oracle Weblogic and IBM MQ in WebSphere and which should be used for what situation
Apache KafkaApache Kafka is a message broker that was originally developed by LinkedIn before going open source under the Apache umbrella. Kafka’s main focus was speed and efficiency. It can maintain a message throughput rate of 100k+ msgs/sec which is significantly higher than most other alternatives. However, other basic features found in other brokers are eschewed in favor of efficiency. Features like message acknowledgments, routing rules and an admin UI are not available as standard. Even though Kafka is defined as ‘stable’ and ‘production-ready’, deploying Kafka in HA mode is tougher than it is with other providers. It is highly dependent on the Zookeeper module in order to maintain synchronization between multiple Kafka nodes and client apps.
RabbitMQRabbitMQ is an open source message broker software managed by Pivotal. It implements the Advanced Message Queuing Protocol (AMQP) which we described in detail in the earlier blog. Unlike Kafka, RabbitMQ comes with a built-in management dashboard for easy configuration and monitoring of message queues. It also supports requests for message acknowledgements and is easily deployed in HA mode with minimal effort. With a message rate of about 20k+ msgs/sec which is much less than Kafka, it’s sufficient enough for most use cases. Due to it’s platform-independent framework and ease of use, RabbitMQ is a very mature message broker offering with a lot of extended support from the community.
Amazon SQSSimple Queue Service (SQS) is Amazon’s cloud-based message queuing system made available as part of Amazon Web Services (AWS). Unlike the other brokers mentioned here, there is barely any setup/deployment required for an application to use SQS. All you need is AWS credentials to be able to use it. Since it is a SaaS (Software-as-a-service), this makes it a much lower-cost option since there is no infrastructure cost. You only pay for what you use. SQS also has the notion of in-flight messages. This means that the message is pulled off the queue but never deleted until the ‘delete‘ command is sent for that message ID. So if you lose your worker mid-processing of the event, that event isn’t lost for good.
One drawback of the SQS implementation is the need for polling of a message queue to determine if new messages have appeared. This is a bit of an issue being as you must now model your application to perform a polling cycle in order to determine if new messages are available. While the SQS costs are reasonable, Amazon places a limit on the message rate which can be increased on request and also charges extra based on the overall message rate.
Google Cloud Pub/SubGoogle’s Cloud Pub/Sub is a fully-managed real-time messaging service that allows you to send and receive messages between applications or server. It is developed specifically to faciliate messaging among applications deployed on the Google Compute Engine (GCE) cloud. It’s basic features are very similar to that of Amazon’s SQS in that there are no infrastructure costs and you pay for what you use. The major difference from SQS is that Google charges based only on volume and not transacation speed i.e. you will not be charged extra for a sudden increase in message rate.
IBM MQ & Oracle WebLogic JMSBoth IBM MQ and Oracle WebLogic JMS are very similar in features to standard JMS. You would choose one over the other based on what framework your app is using i.e. if your app is deployed on IBM Websphere, it will be much easier to integrate it with IBM MQ than any other provider.
Similarly, it would be simpler to integrate an app running on Weblogic with the JMS server that it provides instead of an external provider.
For in-detail comparisons , read more here — https://techblog.xavient.com/messaging-what-to-choose-and-when/We need to listen for messages distributed via Websphere MQ to get informed when an employee joins or leaves IBM. And because the resources used in the processing (a database, a webservice) may be temporarily unavailable, we must be able to deal with such outages, which may range from minutes to hours, by repeatedly retrying the processing after some delay. And we must be also able to deal with “poison messages”, that means messages whose processing always fails either because their content is invalid or because their data isn’t consistent with the database.
The question is whether this would be better implemented as a Message-Driven Bean (MDB) or a batch job regularly checking its queue given that we have Websphere Application Server 7 (and thus Java EE 5) and Websphere MQ 6, which both have some important changes compared to the previous versions. It turns out that it depends – both approaches have some advantages and disadvantages and so it’s a question of the likelihood of particular problems and business requirements and priorities.
Setting the scene MDB vs. a batch job: the decision factorsWhether we should select the MDB or the batch job approach depends on a number of factors, some of them are:
There are three types of problems that can occur:
A MDB is hosted by an application server that does a lot of work on behalf of the bean (such as transaction and concurrency management) thus simplifying its development and configuration. It may be as simple as writing
@javax.ejb.MessageDrivenpublic class SimpleMessageBean implements javax.jms.MessageListener { public void onMessage(javax.jms.Message inMessage) { final javax.jms.TextMessage msg = (javax.jms.TextMessage) inMessage; final String msgBody = msg.getText(); // handle the msgBody ... }}and configuring the ActivationSpecification for the MDB in JNDI via the app. server’s administration UI.
The question is, of course, how well it can handle poison messages and retrial when resources are temporarily unavailable.
MDB error handling and configuration in Websphere 7Let’s have a look how Websphere deals with various kinds of errors related to MDBs and how we do configure a MDB in this application server, especially with regard to error handling.
MDB error handling in WebsphereWhat happens when an error occurs?
Normally an Application Server starts an MQ transaction before it invokes a MDB and it either commits it when the MDB finishes or rolls it back when it throws an exception. If the transaction succeeds then the message is removed from the MDB’s queue otherwise it will be returned there and processed again in the future. This is the default behavior corresponding to configuring container-managed transactions (tx) with the type of ‘required’. Notice that also DB operations can participate in this transaction and thus be committed/rolled back as well, which might be useful.
We have two ways how to deal with a failed message:
We will use JCA 1.5 Activation Specification (and not Listener Ports that are deprecated since WAS 7) with Websphere MQ as the provider, which limits our configuration options to those described below.
Interesting resources:
Design of the MDB approach Error handling designThe main problem with the MDB approach is that it doesn’t support retrying an operation after a delay (either for a single failing message or for the whole queue, if a resource is temporarily unavailable). There are some workarounds, but not very nice.
MDB design questions:
Essential docs
Other (not all docs available for our version, namely MQ v6 and WAs v7)
Approach 2: A batch job checking MQ regularlyA batch job is a command-line application that is regularly, for example once a day, run by cron and actively scans its incoming queue/topic for new messages and processes them all at once. All the JMS communication and management and configuration must be implemented from scratch. (Though utilities such as Spring JMS template may simplify it.)
Job error handling and configuration Error handlingThe problems and ways to deal with errors are the same as when running in an application server, only we have to do everything ourselves. That means we need to manually start a transaction, catch exception and commit/roll back and configure the topic/queue for poison messages.
We would need to implement a problem cause detection logic to distinguish whether there is a temporary resource outage or whether there is a problem with the message itself (either incorrect data type or data inconsistent with the target DB ). There is no other good way to deal with these distinct kinds of problems without really knowing which of them it is.
We would deal with the problems as follows:
We have two ways to configure the JMS resources (a Topic and a (Topic)ConnectionFactory) and their options related to error handling:
You can create the JNDI configuration via the MQ Explorer wizards – after having added a new JNDI “context” using fscontext and a local directory – either by first creating the JMS resource and then letting the wizard generate an MQ resources for it and adjusting it as needed:
Or by creating the JMS resource from an existing MQ resource:
Provided that the FsContext configuration file .bindings produced by JMSAdmin/MQ Explorer is in the folder /etc/mqJndiconfig, we would connect to the MQ as follows:
final Hashtable<String, String> env = new Hashtable<String, String>();env.put(Context.INITIAL_CONTEXT_FACTORY, "com.sun.jndi.fscontext.RefFSContextFactory");env.put(Context.PROVIDER_URL, "file:/etc/mqJndiconfig");final InitialContext context = new InitialContext(env);ConnectionFactory qcf = (javax.jms.ConnectionFactory) context.lookup("MyConnectionFactory"); // Note: I set the channel property MCAUSER so it actually isn't necessary to supply credentials below:final Connection connection = qcf.createConnection("anna", "password ignored");// Client ID is necessary for a durable subscr.// We could alternatively set in on the ConnectionFactory - the CLIENTID propertyconnection.setClientID("MyCoolApplication");final Session session = connection.createSession(true, -1); // the param 2 is ignored for durable subscr.final Topic destination = (Topic) context.lookup(JNDI_PREFIX + TOPIC);final MessageConsumer receiver = subscribe(session, destination);try {connection.start();} catch (javax.jms.JMSException e) {throw new RuntimeException("Failed to start the JMS connection", e);}We would then read the messages via:
while ((msg= receiver.receiveNoWait()) != null) {handleMessage(msg);}The dependencies include jms.jar, fscontext.jar and providerutil.jar. You can find them either in the WMQ installation or on the web.
You may want to have a look at Writing a simple publish/subscribe application connecting through WebSphere MQ in WMQ help, which discusses some of the code above in more detail.
Job designThe version and fixpack level of WMQ/WAS is very important.
Both the approaches have some pros and cons and it depends on the requirements and their priority which one would be more suitable.
MDB: It’s more difficult to implement delayed retrial if it is required – it may be implemented via a scheduled EJB automatically re-enabling the MDB stopped by WAS after a number of failures (one issue is that we’d need WAS admin rights for the EJB to do that; another is performance due to the need to either monitor logs or check the MDB’s status regularly). On the other hand, concurrent processing is available out of the box and also implementing a bean notifying about problematic messages in the backout queue is simpler thanks to the injection of the mail API resources. This solution may thus require some JMX and Java EE (scheduled EJB) magic and there may be unexpected problems with that.
JOB: Concurrency: it’s more difficult to implement processing of the messages in parallel, there is even a slight chance that it’s impossible. Also more coding is required and thus there will be more bugs. On the other hand we can implement delayed retrials as we want. Thus if concurrent processing isn’t critical while the automatic delayed retrial may be then this would be the best approach.
From http://theholyjava.wordpress.com/2010/09/13/implementing-retrial-with-a-mdb-or-an-mq-batch-job-was-7-mq-6/
Secure (SSO) single sign-on to multiple websites is the ultimate draw for emerging Web services. Security managers want to leverage architecture to save costs and increase user productivity. That means extending digital identities across applications that reside on multiple platforms and domains inside and outside the enterprise. RSA Security's ClearTrust 5.5 is designed to deliver SSO through federated identity, user management support and dynamic transactional authorization for multipartner Web services.
ClearTrust 5.5 provides SAML-based identity and authentication via a Federated Identity Management (FIM) module. Its API allows developers to bundle authentication and authorization requests from legacy and new applications. The release also features user management enhancements and automated workflow to authorize account creation, group assignment, profile updates and password resets. It includes transactional Smart Rules, which enable dynamic look up in databases and LDAP directories to support authorization decisions.
While ClearTrust's federated identity is a no-brainer for developing real-time SSO authorization for Web services, security managers will be distracted by having to toggle across the application's three interfaces.
Simple SSOClearTrust 5.5's FIM module provides access to multiple Web sites with a single logon -- meaning a Web service user can authenticate once and benefit from a distributed SSO to other Web sites that have a trusted relationship. FIM enables SAML 1.1-compliant identity management by generating and processing SAML assertions, which provide XML-based authentication and authorization.
FIM makes it easy to manage SAML Asserting and Relying Parties. The Asserting Party is the one who requests access to a resource on a Relying Party's site. The Relying Party accepts SAML assertions, which are statements that declare that the identity of a user has been authenticated. Trust relations, established by defining the Asserting Party and Relying Party, enable one identity to be mapped to multiple identities on other sites to eliminate the constant toggling of names and passwords. ClearTrust maintains a local store of relationship data (user names and aliases).
We configured an associated Relying Party for our Web service, a remote user identity and the authentication methods allowed, and mapped our local identity to a different remote identity to fully test the SSO federated identity capabilities.
We set the Asserting Party issuer and source identity, Asserting Party policy and trusted Relying Parties. The issuer and source identity -- the equivalent of a user ID for a Web service consumer -- is a 40-character randomly generated string that's similar to a shared key in a site-to-site security relationship. ClearTrust binds this identity string to a SOAP transport service URL, which acts as a broker for requests to a Web service. We used the FIM interface to configure length assertion lifetime policy, which defines how long the session is allowed, and custom authentication and Relying Party verification methods, such as digital certificate or basic authentication.
We authenticated to the Web service hosted on our system via the local client domain. An encrypted cookie identified us as a trusted authenticated party, and our request was directed via an SSL-secured connection to the remote Web service domain associated with our Relying Party. The SAML assertion essentially mapped our local identity to the remote identity. The remote Web service, which was configured to display the entire SAML assertion upon successful authentication and authorization, accepted our assertion, and the comprehensive display verified the receipt and accuracy in processing the SAML assertion.
Along with the standard SAML fields, ClearTrust allows for the enumeration of additional attributes, which can be used to pass information to other Web services. For example, we were able to pass metadata in the form of name/value pairs for an affinity program to the remote domain. It accepted our identity and authentication assertions, but relied on remote site authorization to control what we were able to access.
Streamlining Web Services SecurityRSA includes its ClearTrust API in version 5.5 as a "One Call" Web service for enhanced integration and to extend its reach to enterprise applications. For example, developers can bundle authentication and authorization requests from legacy and new applications such as Microsoft's .NET into a single Web service API call. ClearTrust can respond to the Web services calls with a single response that answers the packaged requests. This reduces the number of conversations between systems and improves performance considerably. For example, providing the API as a standards-based Web service allows enterprises to integrate Microsoft's BizTalk and Sun Microsystems' J2EE to use the same authentication and authorization scheme.
ClearTrust employs a Web Services Description Language interface, which uses an XML-based language to describe various Web services calls, their related functions and how to access them.
We installed our Web archive file, which is used for deploying Web applications, on a BEA WebLogic server to test the ClearTrust API, and made several test calls to the ClearTrust Web service API requesting authentication and authorization. Our simple Web service client sent the packaged request seeking authorization to three URLs (/secure, /test and /accounts). The ClearTrust Web service API bundled its answer, and following policy, returned three "allow" responses.
ClearTrust compares the user ID, authentication secret and URL requested with the local ClearTrust security policy to issue allowance decisions. We removed our user's entitlements to the three URLs to test ClearTrust's ability to deny access, and resent our packaged request. The Web service API responded by bundling three "deny" responses.
Transactional AuthorizationsClearTrust has extended its standard Smart Rules in 5.5 to enable a dynamic lookup of authorization decision data stored in databases, LDAP directories, Web services and XML files.
We created an XML file with a user ID for dynamically checking a value, and a file with a field called "credit card approval" and an assigned value of 0,1 to toggle between. We set the rule to deny access if the value for the user was 0, and allow access to a resource if the value was 1. The ACL resource was defined as our Web server directory containing a collection of analyst reports that were for paying subscribers only. Our transactional rule performed a credit card validation lookup, and issued file access pending the charge acceptance.
The transactional smart rule denied us when we tried to access the directory with the value set to 0, and with the value set to 1 allowed our access to see pages within the protected directory. ClearTrust's pairing of dynamic data and business logic for driving security decisions is an important functionality. In the case where a user's access to downloadable software is based on available credit, ClearTrust could check the user's credit to dynamically deny or authorize access.
Empowered UsersClearTrust 5.5 has eased the sting of managing end users with its Advanced User Management (AUM) module. With AUM's built-in workflow, security managers can preapprove a series of actions for authorized users, including account creation, group assignment, profile update and password reset requests.
We completed the username, password, e-mail address, full name and zip code to authorize account creation. Three questions were selected from a pull-down menu to authorize future unassisted password resets. Questions are configurable, but we applied the RSA templates for "favorite teacher," "first pet's name" and "name of your elementary school." A receipt was issued, and we were notified by e-mail when the account was approved.
The AUM module provides a list of approval tasks, and we clicked to endorse the account. An e-mail message was issued to our end user that the account activation had been approved. We tested the password reset by entering our user name in the text field and providing our three previously validated responses to the psychographic questions. Our verified responses allowed us to replace our forgotten password.
A Good MarriageRSA ClearTrust 5.5 has introduced useful features that support the emerging Web services SAML 1.1 standard. Its self-service eases user administration. Dynamic transaction rules marry business logic to security authorization decisions, with the ability to query both internal and external partner Web services for dynamic decision support. These features, when combined with the ability to expose the API as Web service, create a centralized security architecture with intelligent and distributed capabilities.
While accessing three administrative interface links from a browser-based dashboard served our purposes, combining the consoles into a single interface would make ClearTrust a more efficient tool for security managers. But given the robust and intuitive feature set in ClearTrust 5.5, we can't complain.
Snapshot
RSA ClearTrust 5.5RSA SecurityPrice: Starts at $26/user
PURPOSE: ClearTrust 5.5 provides access and federated identity management for Web services.
REQUIREMENTS: Requires Microsoft Windows 2000/2003, Red Hat Linux Enterprise or SuSE Linux, Sun Solaris 8/9, IBM AIX or HP-UX; Oracle, Microsoft SQL Server 2000, Sybase, Microsoft Active Directory or Sun One Directory Server; Sun One Webserver, Microsoft IIS 5.0/6.0 or Apache; BEA WebLogic 8.1, IBM WebSphere or Tomcat.
KEY FEATURES:- Provides SAML 1.1-based Web service authentication.- Comprehensive API Web service integration.- Dynamic transaction authorization based on business logic.
PROS:- Federated identity maps user IDs across Web services and sites.- Automated user account management and workflow.
CONS:- Three separate administrative GUI's.
VERDICT: RSA ClearTrust 5.5 delivers key components that target the need for federated identity with support for emerging Web service standards. User self-service eases the administrative burden for authorizing Web services authentication. RSA offers a robust feature set and practical solution.
George Wrenn, CISSP, is a technical editor for Information Security, a graduate fellow at the Massachusetts Institute of Technology and a director of security at a financial services firm.
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