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0B0-109 exam Dumps Source : WebLogic Server 9

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BEA WebLogic Server 9

SAP's internet application Server 6.2 vs. BEA's WebLogic | killexams.com true Questions and Pass4sure dumps

How attain you cost became 6.2 from SAP in comparison to WebLogic from BEA?

SAP's upcoming net utility server (turned into) 6.2 is meant to permit developers to create Java Server pages to access the R/3 utility server. This should be completed by course of integrating the Java digital computer from a Java software server seller that SAP purchased essentially two years ago.

although, BEA has been within the Java utility server enterprise for over 5 years now, and their WebLogic server is a extremely revered product. WebLogic is currently seen because the default business general in Java utility servers, and contains points designed to lead mission vital purposes. the usage of clustering and loadbalancing, which you could ensure that your Java functions absorb 24x7x365 availability, and BEA continues to give imaginative technologies comparable to internet services in each and every liberate.

SAP's net software server should be ready for primetime in a yr or two, but for now it would be considered as an prefatory ail into the Entperprise Java infrastructure area. The different allotment of changed into is the skill to blend ABAP and HTML directives to create dynamic web applications for SAP. if you should leverage latest ABAP abilities to create applications for the information superhighway, the changed into is effectively the handiest means to go.


Configuring WebLogic Server 9.x JDBC | killexams.com true Questions and Pass4sure dumps

WebLogic Server 9.x gives database connectivity with statistics sources. an information supply is a pool of database connections from which a connection will too be got. a data supply may too be configured separately or as a multi-datasource. A multi-records supply is assortment of records sources. a data source is configured with a JNDI binding. A DataSource protest is got with a JNDI lookup. A Connection protest may too be bought from a DataSource protest with the getConnection() components. WebLogic Server offers an administration console to configure a data supply. WebLogic Server 9.x includes kind 4 JDBC drivers from DataDirect for DB2, Informix, Microsoft SQL Server, Sybase, and Oracle databases. JDBC drivers for other databases can be integrated in the server with the aid of including the JAR data for the JDBC drivers within the server classpath.

current JDBC features in WebLogic Server 9.0 consist of aid for JDBC 3.0, distinctive JNDI names for a knowledge source, and champion for a Logging remaining resource transaction alternative. SQL statement Timeout has been delivered to the connection pool configuration. SecondsToTrustAnIdlePoolConnection and PinnedToThread connection pool residences, which we'll talk about beneath, absorb been introduced to expand information supply performance. The connection request failover feature has been more desirable. data assortment has been introduced for the several connection parameters for efficiency diagnostics. current elements had been brought to WebLogic classification four JDBC drivers and there is current identification-primarily based connection pooling. Transaction, diagnostic, and safety tabs are actually allotment of the administration console for configuring a data supply.

setting the EnvironmentDownload WebLogic Server 9.1. To install the utility server double-click on the server910_win32 software. click on on the next button in the BEA Installer. opt for Create a brand current BEA domestic in the opt for BEA home listing corpse and specify a listing in the BEA home listing box. click on on next. in the select deploy classification frame select comprehensive and click on on the subsequent button. select any non-compulsory tools if required in the optional tools corpse and click on the subsequent button. in the select Product directory corpse select the default Product setting up directory and click on on the subsequent button. click on next within the Create shortcut places frame. BEA WebLogic Server receives installed.

down load the JDBC driver for the database. we'll configure JDBC connectivity with the MySQL database. So installation the MySQL database and down load the JDBC driver Connector/J.

Extract the MySQL JDBC driver zip file to a listing. Add the MySQL JDBC driver JAR file mysql-connector-java-three.1.11-bin.jar file to the CLASSPATH variable of the <weblogic91>\samples\domains\wl_server\bin\startWebLogic script file. <weblogic91> is the directory in which WebLogic Server 9.1 is set aside in. Double-click on on the <weblogic91>\samples\domains\wl_server\startWebLogic to start the WebLogic examples server.

growing an information SourceA information supply is a pool of JDBC connections from which a connection will too be got with the getConnection() system of a DataSource object. during this section they will create a knowledge supply in the administration console. entry the administration console with the URL http://localhost:7001/console. in the administration console select the node capabilities>JDBC>DataSources.

To create a current JDBC statistics supply click on on current within the information Sources desk (see determine 1).

Specify a data source identify within the Create a brand current JDBC statistics source corpse and a JNDI identify for the data source. a knowledge supply is positive on a JNDI tree with a JNDI identify. opt for a Database category. they will create an information source with the MySQL database. select MySQL as the Database class. opt for MySQL's driver (category four) as the database driver and click on on next (see determine 2).

a data supply can be configured with any of the favourite databases. WebLogic gives class 4 JDBC drivers from DataDirect for DB2, Informix, Oracle, SQL Server, and Sybase. The DataDirect drivers are pre-put in within the <weblogic9.1>/server/lib directory (see determine three). The distinctive JDBC category four drivers protected with WebLogic Server are listed in desk 1.

Databases apart from those for which a JDBC driver is covered can too be chosen. If a JDBC driver apart from the WebLogic driver is selected add the driving constrain zip/JAR file to the CLASSPATH variable in the startWebLogic script (see design 4).

in the Transaction alternatives frame the transaction attributes of the statistics source are unique. If a XA driver is selected international transactions are immediately supported with the two-section relegate transaction protocol. a world transaction, or a allotted transaction, is a transaction that includes two or extra transactions over diverse (or single) aid managers (a RDBMS database is a useful resource manager). a world transaction is managed by a Transaction supervisor the utilize of JTA. For a non-XA information source to assist international transactions, assess the world Transactions checkbox. select the protocol that supports global transactions. The different transaction protocols are listed in table 2.

in the Transaction alternatives web page click on next (see design 5).

in the Connection residences frame specify the Database name, examine for the default database example. Specify Host identify as localhost, Port as 3306, and consumer identify as root. A password is rarely required for the basis username. click on the next button (see design 6).

in the examine Database Connection corpse the driver kind identify, connection URL, and username for the MySQL database are precise. click on on the examine Database Configuration button to verify the connection with the database (see design 7).

A message gets displayed indicating if a connection has been based. If database doesn't regain connected an error message gets displayed. click on the next button.

within the opt for ambitions frame select a server where the facts supply might be deployed. To install to the examples server, select examplesServer and click on on the finish button (see design 8).

a knowledge source receives configured and brought to the information Sources table (see determine 9).

click on on the prompt changes button to beget the statistics source available to purposes in the server.

Configuring a knowledge SourceIn this locality the records source created in the closing locality should be configured. select the statistics source to configure in the records Sources desk. select the Configuration tab (selected via default). within the Configurations frame the data source JNDI identify can too be modified (see design 10).

The different configuration alternatives for a data source are listed in table 3.

To configure the connection pool associated with facts source opt for the Connection Pool hyperlink. initial means, maximum ability, and aptitude increment may too be set within the connection pool configuration (see determine 11).

probably the most connection pool settings are listed in table 4.

The transaction protocol settings can be configured with the Transaction hyperlink. Monitoring facts can too be accumulated with the Diagnostics hyperlink (see determine 12).

one of the facts source profiles that may may be accrued are listed in table 5.

To monitor an information supply opt for the Monitoring tab. to administer the WebLogic Server circumstances to which the information source is deployed opt for the manage tab. In a deployed server specimen the statement cache can too be cleared and server will too be suspended or shut down.

making a Multi-information SourceA multi-facts source is an summary community of facts sources, which provides failover and cargo balancing around facts sources. A multi-records source has a JNDI binding corresponding to a knowledge source. To create a multi-data source click on the functions>JDBC>Multi statistics Sources link within the administration console (see determine 13).

in the Multi information Sources table click on on the brand current button to create a current multi-facts supply (see design 14).

in the Configure the Multi records supply corpse specify an information source identify and a JNDI cognomen for the records supply. select the algorithm category as Failover or Load Balancing. click on the subsequent button (see determine 15).

in the opt for pursuits corpse select the examplesServer or an extra server to set up the multi-records supply to. click on the subsequent button (see determine sixteen).

within the select records source category corpse opt for XA driver for an XA statistics supply or a non-XA driver for a non-XA facts source. click on the subsequent button (see design 17).

within the Add records Sources corpse add facts sources from the purchasable listing to the Chosen list. If current records sources are required click on the Create a current facts supply button. Then click on on the finish button (see design 18).

a brand current information source gets configured and added to the Multi records Sources desk. click on the spark off changes button to beget the records supply obtainable to purposes (see design 19).

A multi-information source will too be configured through settling on the multi-facts supply hyperlink. The ambitions to which the multi-facts source is deployed can too be configured with the ambitions tab. The information sources within the multi-information supply can too be configured with the records Sources link in the Configuration tab. The multi-information source JNDI cognomen may too be modified within the Configuration>generic frame. The Algorithm category specifies the algorithm used to select a knowledge supply from which a connection is obtained. If the algorithm classification is Failover, connection requests are sent successively to the records sources in the checklist unless a connection is obtained or the conclusion of the facts source listing is reached. If the algorithm category is a Load Balancing connection request the weight is disbursed evenly over the statistics sources in the record. If load balancing is the selected connection, failover is too offered with the connection requests being despatched to distinctive data sources in the list until a connection gets based or the conclude of the statistics supply checklist is reached (see determine 20).

A multi-information source additionally offers the Failover Request If Busy, Failover Callback Handler, and verify Frequency settings. For a multi-facts supply with the Failover algorithm if Failover Request If industrious is selected the connection request is shipped to the subsequent information source if everyone of the connections in a knowledge supply are busy. The Failover Callback Handler specifies the software classification to ply the callback despatched when a multi-facts source is able to ship a Failover connection request to one more information source. check Frequency specifies the interval in x variety of seconds after which connections are demonstrated. If a connection fails the connection is closed and reopened. If the connection fails once more the connection is closed (see determine 21).

performance Tuning JDBCSome of the JDBC design considerations to enrich efficiency consist of the alternative of the JDBC driver. The WebLogic kind 4 JDBC drivers from DataDirect provide related performance. The connection pooling offered by using WebLogic Server records sources improves efficiency by means of conserving a pool of connections purchasable for JDBC functions. Connection will not absorb to be opened and closed for every client. Tune the number of connections by using environment the prefatory capability equal to maximum capacity in a connection pool. Maximize the reuse of connections as opposed to closing and opening connections. A connection may be pinned to a thread by using setting the PinnedToThread configuration pool attribute. close connections after a connection is not required.

test Connections on Reserve checks connections before making a connection attainable to a client, but connection testing can in the reduction of efficiency. To prevent well-known connection testing set the connection pool ascribe Seconds to absorb faith an Idle Pool Connection, which specifies the number of seconds for which a connection back by a shopper isn't established with a SQL query. information supply efficiency can be improved by picking Row Prefetch Enabled and an most excellent pre-fetch size in configuring a data source. Row pre-fetching improves efficiency with the aid of fetching varied rows from the server to an external customer. Caching statements improves efficiency through reusing statements instead of creating current ones. observation caching is designated in the connection pool configuration.

establishing a JDBC JSP ApplicationIn this section they will develop a JSP application to retrieved information from a MySQL database table with the facts source configured in the creating an information source part. First, create an specimen database table in the MySQL database. entry the MySQL database with the command mysql.

>mysql

To create a database table within the celebrate at various database instance login to the test database.

mysql>use examine

Create a table, Catalog with the SQL script in record 1.

Create a JSP, catalog.jsp. within the JSP import the java.sql, javax.sql, java.util, and javax.naming programs.

<%@ web page

import="java.sql.*,javax.sql.*,java.util.*,javax.naming.*"

%>

Create a InitialContext object.

InitialContext ctx=new InitialContext();

Create a DataSource protest from the JNDI identify of the MySQL facts source.

DataSource ds=(DataSource)ctx.look up("jdbc/MySQLDS");

gain a JDBC connection from the DataSource object.

Connection connection=ds.getConnection();

Create a press release protest from the Connection object.

statement stmt=connection.createStatement();

Run a SQL query with the executeQuery() formulation to reach back a ResultSet object. Specify a SQL question that selects everyone of the columns in the specimen database desk Catalog.

ResultSet resultSet=stmt.executeQuery("choose * from Catalog");

Create an HTML table with a column similar to each of the rows in the influence set. Add a header row to the HTML desk. Iterate over the effect set and add row values to the HTML table.

The JSP, catalog.jsp, to generate a HTML table from the illustration database table with the records source configured within the WebLogic Server is in list 2.

To race the JSP in WebLogic Server copy the JSP to the <weblogic91>\samples\server\examples\build\mainWebApp listing. Invoke the JSP with the URL http://localhost:7001/catalog.jsp. The JSP runs in WebLogic Server and generates an HTML table (see design 22).

ConclusionWebLogic Server 9.0/9.1 has a brand current function, multi-statistics source, a bunch of records sources with a JNDI identify binding. A multi-statistics supply facilitates highest records supply availability. A divorce connection pool configuration in WebLogic Server eight.1 has been removed. The facts source configuration in WebLogic Server 9.x gives better connection request failover and load balancing between facts sources.


BEA Rolls Out WebLogic Server 9.0 for SOA | killexams.com true Questions and Pass4sure dumps

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WebLogic Server 9

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SAP's Web Application Server 6.2 vs. BEA's WebLogic | killexams.com true questions and Pass4sure dumps

How attain you rate WAS 6.2 from SAP compared to WebLogic from BEA?

SAP's upcoming Web Application server (WAS) 6.2 is hypothetical to allow developers to create Java Server pages to access the R/3 application server. This will be accomplished by integrating the Java virtual machine from a Java application server vendor that SAP purchased nearly two years ago.

However, BEA has been in the Java application server business for over five years now, and their WebLogic server is a highly respected product. WebLogic is currently seen as the default industry criterion in Java application servers, and includes features designed to champion mission censorious applications. Using clustering and loadbalancing, you can ensure that your Java applications absorb 24x7x365 availability, and BEA continues to provide innovative technologies such as Web services in each release.

SAP's Web Application server should be ready for primetime in a year or two, but for now it should be seen as an initial ail into the Entperprise Java infrastructure space. The other component of WAS is the aptitude to combine ABAP and HTML directives to create dynamic Web applications for SAP. If you need to leverage existing ABAP skills to create applications for the Internet, the WAS is simply the only course to go.


Configuring WebLogic Server 9.x JDBC | killexams.com true questions and Pass4sure dumps

WebLogic Server 9.x provides database connectivity with data sources. A data source is a pool of database connections from which a connection can be obtained. A data source can be configured separately or as a multi-datasource. A multi-data source is collection of data sources. A data source is configured with a JNDI binding. A DataSource protest is obtained with a JNDI lookup. A Connection protest can be obtained from a DataSource protest with the getConnection() method. WebLogic Server provides an administration console to configure a data source. WebLogic Server 9.x includes kind 4 JDBC drivers from DataDirect for DB2, Informix, Microsoft SQL Server, Sybase, and Oracle databases. JDBC drivers for other databases can be incorporated in the server by including the JAR files for the JDBC drivers in the server classpath.

current JDBC features in WebLogic Server 9.0 comprehend champion for JDBC 3.0, multiple JNDI names for a data source, and champion for a Logging eventual Resource transaction option. SQL Statement Timeout has been added to the connection pool configuration. SecondsToTrustAnIdlePoolConnection and PinnedToThread connection pool properties, which we'll debate below, absorb been added to improve data source performance. The connection request failover feature has been improved. Statistics collection has been added for the different connection parameters for performance diagnostics. current features absorb been added to WebLogic kind 4 JDBC drivers and there's current identity-based connection pooling. Transaction, diagnostic, and security tabs are now allotment of the administration console for configuring a data source.

Setting the EnvironmentDownload WebLogic Server 9.1. To install the application server double-click on the server910_win32 application. Click on the Next button in the BEA Installer. Select Create a current BEA Home in the select BEA Home Directory frame and specify a directory in the BEA Home Directory field. Click on Next. In the select Install kind frame select Complete and click on the Next button. Select any optional tools if required in the Optional Tools frame and click on the Next button. In the select Product Directory frame select the default Product Installation Directory and click on the Next button. Click on Next in the Create shortcut locations frame. BEA WebLogic Server gets installed.

Download the JDBC driver for the database. We'll configure JDBC connectivity with the MySQL database. So install the MySQL database and download the JDBC driver Connector/J.

Extract the MySQL JDBC driver zip file to a directory. Add the MySQL JDBC driver JAR file mysql-connector-java-3.1.11-bin.jar file to the CLASSPATH variable of the <weblogic91>\samples\domains\wl_server\bin\startWebLogic script file. <weblogic91> is the directory in which WebLogic Server 9.1 is installed. Double-click on the <weblogic91>\samples\domains\wl_server\startWebLogic to start the WebLogic examples server.

Creating a Data SourceA data source is a pool of JDBC connections from which a connection can be obtained with the getConnection() system of a DataSource object. In this section we'll create a data source in the administration console. Access the administration console with the URL http://localhost:7001/console. In the administration console select the node Services>JDBC>DataSources.

To create a current JDBC data source click on current in the Data Sources table (see design 1).

Specify a data source cognomen in the Create a current JDBC Data Source frame and a JNDI cognomen for the data source. A data source is bound on a JNDI tree with a JNDI name. Select a Database Type. We'll create a data source with the MySQL database. Select MySQL as the Database Type. Select MySQL's driver (Type 4) as the database driver and click on Next (see design 2).

A data source can be configured with any of the commonly used databases. WebLogic provides kind 4 JDBC drivers from DataDirect for DB2, Informix, Oracle, SQL Server, and Sybase. The DataDirect drivers are pre-installed in the <weblogic9.1>/server/lib directory (see design 3). The different JDBC kind 4 drivers included with WebLogic Server are listed in Table 1.

Databases other than those for which a JDBC driver is included can too be selected. If a JDBC driver other than the WebLogic driver is selected add the driver zip/JAR file to the CLASSPATH variable in the startWebLogic script (see design 4).

In the Transaction Options frame the transaction attributes of the data source are specified. If a XA driver is selected global transactions are automatically supported with the two-phase relegate transaction protocol. A global transaction, or a distributed transaction, is a transaction that involves two or more transactions over multiple (or single) resource managers (a RDBMS database is a resource manager). A global transaction is managed by a Transaction Manager using JTA. For a non-XA data source to champion global transactions, check the Global Transactions checkbox. Select the protocol that supports global transactions. The different transaction protocols are listed in Table 2.

In the Transaction Options page click on Next (see design 5).

In the Connection Properties frame specify the Database Name, test for the default database instance. Specify Host cognomen as localhost, Port as 3306, and user cognomen as root. A password isn't required for the root username. Click on the Next button (see design 6).

In the Test Database Connection frame the driver class name, connection URL, and username for the MySQL database are specified. Click on the Test Database Configuration button to test the connection with the database (see design 7).

A message gets displayed indicating if a connection has been established. If database doesn't regain connected an error message gets displayed. Click on the Next button.

In the Select Targets frame select a server where the data source will be deployed. To deploy to the examples server, select examplesServer and click on the Finish button (see design 8).

A data source gets configured and added to the Data Sources table (see design 9).

Click on the Activate Changes button to beget the data source available to applications in the server.

Configuring a Data SourceIn this section the data source created in the eventual section will be configured. Select the data source to configure in the Data Sources table. Select the Configuration tab (selected by default). In the Configurations frame the data source JNDI cognomen can be modified (see design 10).

The other configuration options for a data source are listed in Table 3.

To configure the connection pool associated with data source select the Connection Pool link. Initial capacity, maximum capacity, and capacity increment can be set in the connection pool configuration (see design 11).

Some of the connection pool settings are listed in Table 4.

The transaction protocol settings can be configured with the Transaction link. Monitoring statistics can be collected with the Diagnostics link (see design 12).

Some of the data source profiles that can may be collected are listed in Table 5.

To monitor a data source select the Monitoring tab. To administer the WebLogic Server instances to which the data source is deployed select the Control tab. In a deployed server instance the statement cache can be cleared and server can be suspended or shut down.

Creating a Multi-Data SourceA multi-data source is an abstract group of data sources, which provides failover and load balancing around data sources. A multi-data source has a JNDI binding similar to a data source. To create a multi-data source click on the Services>JDBC>Multi Data Sources link in the administration console (see design 13).

In the Multi Data Sources table click on the current button to create a current multi-data source (see design 14).

In the Configure the Multi Data Source frame specify a data source cognomen and a JNDI cognomen for the data source. Select the algorithm kind as Failover or Load Balancing. Click on the Next button (see design 15).

In the select Targets frame select the examplesServer or another server to deploy the multi-data source to. Click on the Next button (see design 16).

In the Select Data Source kind frame select XA driver for an XA data source or a non-XA driver for a non-XA data source. Click on the Next button (see design 17).

In the Add Data Sources frame add data sources from the Available list to the Chosen list. If current data sources are required click on the Create a current Data Source button. Then click on the Finish button (see design 18).

A current data source gets configured and added to the Multi Data Sources table. Click on the Activate Changes button to beget the data source available to applications (see design 19).

A multi-data source can be configured by selecting the multi-data source link. The targets to which the multi-data source is deployed can be configured with the Targets tab. The data sources in the multi-data source can be configured with the Data Sources link in the Configuration tab. The multi-data source JNDI cognomen can be modified in the Configuration>General frame. The Algorithm kind specifies the algorithm used to select a data source from which a connection is obtained. If the algorithm kind is Failover, connection requests are sent successively to the data sources in the list until a connection is obtained or the conclude of the data source list is reached. If the algorithm kind is a Load Balancing connection request the load is distributed evenly over the data sources in the list. If load balancing is the selected connection, failover is too provided with the connection requests being sent to different data sources in the list until a connection gets established or the conclude of the data source list is reached (see design 20).

A multi-data source too provides the Failover Request If Busy, Failover Callback Handler, and Test Frequency settings. For a multi-data source with the Failover algorithm if Failover Request If industrious is selected the connection request is sent to the next data source if everyone the connections in a data source are busy. The Failover Callback Handler specifies the application class to ply the callback sent when a multi-data source is ready to dispatch a Failover connection request to another data source. Test Frequency specifies the interval in x number of seconds after which connections are tested. If a connection fails the connection is closed and reopened. If the connection fails again the connection is closed (see design 21).

Performance Tuning JDBCSome of the JDBC design considerations to improve performance comprehend the selection of the JDBC driver. The WebLogic kind 4 JDBC drivers from DataDirect provide comparable performance. The connection pooling provided by WebLogic Server data sources improves performance by keeping a pool of connections available for JDBC applications. Connection don't absorb to be opened and closed for each client. Tune the number of connections by setting the Initial Capacity equal to Maximum capacity in a connection pool. Maximize the reuse of connections rather than closing and opening connections. A connection may be pinned to a thread by setting the PinnedToThread configuration pool attribute. close connections after a connection is not required.

Test Connections on Reserve tests connections before making a connection available to a client, but connection testing can reduce performance. To prevent frequent connection testing set the connection pool ascribe Seconds to trust an Idle Pool Connection, which specifies the number of seconds for which a connection returned by a client isn't tested with a SQL query. Data source performance can be improved by selecting Row Prefetch Enabled and an optimal pre-fetch size in configuring a data source. Row pre-fetching improves performance by fetching multiple rows from the server to an external client. Caching statements improves performance by reusing statements rather than creating current ones. Statement caching is specified in the connection pool configuration.

Developing a JDBC JSP ApplicationIn this section we'll develop a JSP application to retrieved data from a MySQL database table with the data source configured in the Creating a Data Source section. First, create an specimen database table in the MySQL database. Access the MySQL database with the command mysql.

>mysql

To create a database table in the test database instance login to the test database.

mysql>use test

Create a table, Catalog with the SQL script in Listing 1.

Create a JSP, catalog.jsp. In the JSP import the java.sql, javax.sql, java.util, and javax.naming packages.

<%@ page

import="java.sql.*,javax.sql.*,java.util.*,javax.naming.*"

%>

Create a InitialContext object.

InitialContext ctx=new InitialContext();

Create a DataSource protest from the JNDI cognomen of the MySQL data source.

DataSource ds=(DataSource)ctx.lookup("jdbc/MySQLDS");

Obtain a JDBC connection from the DataSource object.

Connection connection=ds.getConnection();

Create a Statement protest from the Connection object.

Statement stmt=connection.createStatement();

Run a SQL query with the executeQuery() system to recur a ResultSet object. Specify a SQL query that selects everyone of the columns in the specimen database table Catalog.

ResultSet resultSet=stmt.executeQuery("Select * from Catalog");

Create an HTML table with a column corresponding to each of the rows in the result set. Add a header row to the HTML table. Iterate over the result set and add row values to the HTML table.

The JSP, catalog.jsp, to generate a HTML table from the specimen database table with the data source configured in the WebLogic Server is in Listing 2.

To race the JSP in WebLogic Server copy the JSP to the <weblogic91>\samples\server\examples\build\mainWebApp directory. Invoke the JSP with the URL http://localhost:7001/catalog.jsp. The JSP runs in WebLogic Server and generates an HTML table (see design 22).

ConclusionWebLogic Server 9.0/9.1 has a current feature, multi-data source, a group of data sources with a JNDI cognomen binding. A multi-data source facilitates maximum data source availability. A divorce connection pool configuration in WebLogic Server 8.1 has been removed. The data source configuration in WebLogic Server 9.x provides enhanced connection request failover and load balancing between data sources.


Oracle app server hack let one attacker mine $226,000 worth of cryptocoins | killexams.com true questions and Pass4sure dumps

If "java" suddenly dies on your WebLogic or PeopleSoft server, you may be getting mined for Monero.If "java" suddenly dies on your WebLogic or PeopleSoft server, you may be getting mined for Monero. David Cairns / Getty Images reader comments with 24 posters participating Share this story
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  • In a report published on January 7 by SANS Technology Institute, Morphus Labs researcher Renato Marinho revealed what appears to be an ongoing worldwide hacking crusade by multiple attackers against PeopleSoft and WebLogic servers that leverages a Web application server vulnerability patched by Oracle late eventual year.

    Further Reading Oracle rushes out 5 patches for huge vulnerabilities in PeopleSoft app server

    These attackers aren't stealing data from victims, however—at least as far as anyone can tell. Instead, the exploit is being used to mine cryptocurrencies. In one case, according to analysis posted today by SANS Dean of Research Johannes B. Ullrich, the attacker netted at least 611 Monero coins (XMR)—$226,000 dollars' worth of the cryptocurrency.

    The attacks appear to absorb leveraged a proof-of-concept exploit of the Oracle vulnerability published in December by Chinese security researcher Lian Zhang. Almost immediately after the proof of concept was published, there were reports of it being used to install cryptominers from several different locations—attacks launched from servers (some of them likely compromised servers themselves) hosted by Digital Ocean, GoDaddy, and Athenix.

    "The victims are distributed worldwide," wrote Ullrich. "This isn’t a targeted attack. Once the exploit was published, anybody with limited scripting skills was able to participate in taking down WebLogic/PeopleSoft servers."

    In the case of the attack documented by Marinho, the attacker installed a legitimate Monero mining software package called xmrig on 722 vulnerable WebLogic and PeopleSoft systems—many of them running on public cloud services, according to Ulrich. More than 140 of those systems were in the Amazon Web Services public cloud, and smaller numbers of servers were on other hosting and cloud services—including roughly 30 on Oracle's own public cloud service.

    The exploit code makes scanning for vulnerable systems simple, so the entire universe of publicly exposed, unpatched Oracle Web application servers could quickly topple victim to these and other attacks. On the smart side, some of these surreptitious mining efforts were detected relatively quickly because the script used to "drop" the mining utensil too killed the "java" process on the targeted servers—essentially shutting down the application server and drawing quick attention from administrators.

    The installer used in the documented Monero attack was a simple bash script. It issues commands to seek out and murder other blockchain miners that may absorb arrived before it, and it sets up a CRON job to download and launch the miner utensil in order to keep its foothold intact.

    Ullrich warned that victims shouldn't simply conclude their response to these intrusions by patching their servers and removing the mining software. "It is very likely that more sophisticated attackers used this to gain a persistent foothold on the system. In this case, the only 'persistence' they noticed was the CRON job. But there are many more, and more difficult to detect, ways to gain persistence."



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