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NEW QUESTION # 27
You need to create a centralized metadata connection to a database server for an application. Which steps should you take before building a Job that reads from that database? Choose 3 answers.
- A. Add a tCreateTable component to create a table in the database.
- B. Create Db Connections metadata to describe the database connection.
- C. Retrieve the schemas from the database connection.
- D. Add a tMap component to handle and convert Db Types.
- E. Drag the Db Connections metadata onto the Designer to read from the database component.
Answer: B,C,E
Explanation:
Comprehensive and Detailed Explanation:
To establish a centralized metadata connection to a database server in Talend Studio, follow these steps before constructing a Job that reads from the database:
* Create Db Connections Metadata to Describe the Database Connection (Option C):
* In the Repository panel, right-click on "Metadata" and select "Create connection."
* Fill in the necessary details such as database type, host, port, database name, username, and password.
* Test the connection to ensure it is configured correctly.
* Save the connection metadata for reuse across multiple Jobs.
* Retrieve the Schemas from the Database Connection (Option E):
* After creating the database connection metadata, expand it to view the available schemas.
* Retrieve the required schemas by importing the table structures.
* This step ensures that the schema definitions are centralized and can be reused in different Jobs.
* Drag the Db Connections Metadata onto the Designer to Read from the Database Component (Option D):
* In the Repository, locate the previously created database connection metadata.
* Drag and drop the desired table or schema onto the Designer workspace.
* Talend Studio will automatically create the appropriate input component (e.g., tDBInput) configured with the connection and schema details.
By following these steps, you ensure a centralized and consistent approach to managing database connections and schemas, promoting reusability and reducing configuration errors.
NEW QUESTION # 28
You created a Remote Engine in Talend Cloud and copied the Remote Engine key. You downloaded the Remote Engine script for your Linux system, and now you need to pair the engine manually. Which options can you use to set the key? Choose 2 answers.
- A. In Studio Talend Cloud preferences.
- B. In the engine run script command line as a parameter.
- C. In the key configuration file of the engine.
- D. In the Remote Engine web service page.
Answer: C,D
Explanation:
Comprehensive and Detailed Explanation:
To manually pair a Remote Engine with Talend Cloud, you can set the pairing key using the following methods:
* In the Remote Engine web service page (Option B):
* Access
the Remote Engine's web interface, typically available at http://localhost:8043/configuration.
* Enter the pairing key obtained from the Talend Management Console.
* Click onPAIR REMOTE ENGINEto establish the connection.
* In the key configuration file of the engine (Option C):
* Locate the preauthorized.key.cfg file in the Remote Engine's etc directory.
* Open the file and paste the pairing key into the remote.engine.pre.authorized.key parameter.
* Save the changes and restart the Remote Engine to apply the configuration.
Why not other options?
* Option A:Setting the pairing key in Talend Studio's preferences is not applicable for pairing a Remote Engine.
* Option D:While it's technically possible to pass the pairing key as a parameter in the engine's run script, it's not the standard or recommended method.
NEW QUESTION # 29
Which file should you edit to enable SSL for a JobServer?
- A. Conf/TalendServer.properties
- B. Conf/server.xml
- C. Jsl_stati64.ini
- D. Conf/TalendJobServer.properties
Answer: D
Explanation:
To enable SSL for a JobServer, you need to edit the conf/TalendJobServer.properties file. A JobServer is a server application that allows you to execute jobs remotely from Talend Studio or Talend Administration Center. The conf/TalendJobServer.properties file contains various configuration parameters for your JobServer, such as port number, log level, security options, etc. To enable SSL for your JobServer, you need to set the sslparameter to true and provide the path and password of your keystore file that contains your SSL certificate.
You do not need to edit conf/TalendServer.properties, conf/server.xml, or jsl_static64.ini files. These files are not related to JobServer configuration or SSL settings. The conf/TalendServer.properties file is used to configure Talend Administration Center settings, such as database connection, LDAP authentication, email notification, etc. The conf/server.xml file is used to configure Tomcat server settings, such as connectors, realms, valves, etc. The jsl_static64.ini file is used to configure Java Service Launcher settings, such as service name, description, startup type, etc. References: Talend Open Studio: Open-source ETL and Free Data Integration | Talend, [Configuring Talend JobServer - 7.3], [Configuring Talend Administration Center - 7.3],
[Configuring Tomcat - 7.3], [Installing Java Service Launcher - 7.3]
NEW QUESTION # 30
Which action should you perform to calculate the overall Trust Score for multiple customer datasets?
- A. Use the search bar to filter the customer datasets, and the score will automatically update.
- B. Mark the datasets in the dataset list, and the score updates in the detailed view.
- C. Review the rating of selected datasets in the group tab.
- D. Use the search bar to filter the customer datasets and manually calculate the score.
Answer: A
Explanation:
Comprehensive and Detailed Explanation:
To calculate the overall Trust Score for multiple customer datasets:
* Use the search bar to filter the customer datasets, and the score will automatically update (Option B):
* Filtering datasets using the search functionality aggregates the Trust Scores of the selected datasets, providing an overall score for the group.
Why not other options?
* Option A: Reviewing individual ratings does not provide an aggregated Trust Score.
* Option C: Marking datasets does not trigger an automatic update of the aggregated score.
* Option D: Manual calculation is unnecessary as the system provides automatic aggregation upon filtering.
NEW QUESTION # 31
You need a list of all customers whose first name contains "Tom" and who are older than 18. Which processor should be used?
- A. Join
- B. Data sampling
- C. Aggregate
- D. Filter
Answer: D
Explanation:
Comprehensive and Detailed Explanation:
To filter customer records based onfirst name containing "Tom"andage greater than 18, theFilter processor is the correct choice.
* TheFilter processorallows users to setconditional rulesto extract only the required data.
* Users can specify conditions such as:
first_name CONTAINS "Tom"
AND
age > 18
* This ensures that only relevant records are included in the output.
Why not other options?
* Option A (Join):Used to combine data from multiple datasets based on a key field, not for filtering.
* Option B (Aggregate):Used for summarizing data, such as calculating counts, sums, or averages.
* Option D (Data Sampling):Used to select a random subset of data, not for filtering based on conditions.
NEW QUESTION # 32
Which statements are true about the execution logs of a task running on a Remote Engine? Choose 2 answers.
- A. Logs are stored in Parquet format on the server where the Remote Engine is running.
- B. Logs are stored in the file system of the server where the Remote Engine is running.
- C. Logs can be downloaded from Talend Management Console.
- D. Logs are stored in an H2 database hosted on the server where the Remote Engine is running.
Answer: B,C
Explanation:
Comprehensive and Detailed Explanation:
When a task executes on a Talend Remote Engine, the execution logs are handled as follows:
* Logs are stored in the file system of the server where the Remote Engine is running (Option A):
* The Remote Engine writes execution logs to its local file system, typically in plain text or log formats. These logs provide detailed information about the task's execution and are essential for troubleshooting and monitoring.
* Logs can be downloaded from Talend Management Console (Option C):
* Talend Management Console (TMC) aggregates execution logs from Remote Engines, allowing users to access and download them directly through the TMC interface. This centralized access simplifies monitoring and debugging across multiple environments.
Why not other options?
* Option B:While some components of Talend may use H2 databases for internal purposes, execution logs are not typically stored in an H2 database on the Remote Engine server.
* Option D:Execution logs are generally stored in plain text or standard log formats, not in Parquet format. Parquet is a columnar storage file format commonly used for efficient data processing, not for logging purposes.
NEW QUESTION # 33
Where do you access the option to create a Joblet from an existing Job?
- A. Right-clicking the I oh in the Repository
- B. Adding a Joblet component to the Designer.
- C. Selecting the File menu.
- D. Selecting the desired components and right-clicking.
Answer: D
Explanation:
To create a Joblet from an existing Job, you can follow these steps:
* Open the Job that you want to create a Joblet from.
* Select the components that you want to include in the Joblet.
* Right-click on the selected components and select Create Joblet from the context menu.
* In the Create Joblet dialog box, enter a name and description for the Joblet.
* Click Finish to create the Joblet.
NEW QUESTION # 34
You need to set up a server in your Talend environment that enables several members of your team to collaborate on a project.
Which application must you enable before working on a remote project?
- A. Git or SVN server instance must be running.
- B. Git or SVN client must be installed on each developed workstation.
- C. Talent Administration Center instance must be running with the team members and project configured.
- D. Talend admission Center service must be running on each development workstation.
Answer: A,C
Explanation:
To set up a server in your Talend environment that enables several members of your team to collaborate on a project, you need to enable two applications before working ona remote project: Git or SVN server instance and Talend Administration Center instance. These applications are used to manage version control and collaboration for your project.
Git or SVN server instance is a server application that allows you to store and track changes of your project files using a version control system. Git and SVN are two popular version control systems that are supported by Talend Studio. You need to have a Git or SVN server instance running and accessible by your team members before working on a remote project. You also need to have a Git or SVN client installed on each development workstation to connect to the server and perform version control operations.
Talend Administration Center is a web-based application that allows you to manage users, projects, tasks, execution servers, and licenses for your Talend environment. You need to have a Talend Administration Center instance running and accessible by your team members before working on a remote project. You also need to configure the team members and project settings in Talend Administration Center to grant access and permissions for your project. References: Talend Open Studio: Open-source ETL and Free Data Integration | Talend, [Version control - 7.3], [Talend Administration Center - 7.3]
NEW QUESTION # 35
Which operations can you perform using a tMap component? Choose 3 answers.
- A. Perform full outer joins.
- B. Map data using filters, constraints, and simple explicit joins.
- C. Load single lookup tables only.
- D. Transform data from single or multiple sources to single or multiple destinations.
- E. Reject data using inner join rejections.
Answer: A,B,D
Explanation:
Comprehensive and Detailed Explanation:
The tMap component in Talend allows for various data transformation and mapping operations. The correct operations include:
* A. Map data using filters, constraints, and simple explicit joins.
* tMap allows mapping fields between sources and destinations with filters and constraints.
* B. Perform full outer joins.
* Unlike tJoin, tMap supports full outer joins, allowing all records from both tables to be included.
* C. Transform data from single or multiple sources to single or multiple destinations.
* You can map multiple input sources to multiple output targets with transformations.
NEW QUESTION # 36
Which type of task can be added to a plan in Talend Management Console?
- A. Data services
- B. Jobs
- C. Big Data tasks
- D. Routes
Answer: B
Explanation:
Comprehensive and Detailed Explanation:
In Talend Management Console (TMC), aplanis a sequence of tasks executed in a defined order. The types of tasks that can be added to a plan include:
* Jobs (Option D):Standard data integration tasks designed in Talend Studio.
* Big Data tasks (Option B):Tasks involving big data processing.
* Routes (Option C):Tasks related to messaging routes.
However,Data services (Option A)refer to web services and are not typically added as tasks within a plan.
NEW QUESTION # 37
Which methods can you use to name an output row in a tMap component? Choose 3 answers.
- A. Assign the name when connecting a new output component.
- B. Select the output row, then open the Component view and click the View tab.
- C. Click the name of the table in the Map Editor window and edit it.
- D. Double-click the output row in the Designer and enter a new name.
- E. Assign the name when defining a new output table in the Map Editor window.
Answer: A,C,E
Explanation:
In a tMap component, naming an output row correctly helps in managing data flow efficiently. The correct methods are:
* A. Click the name of the table in the Map Editor window and edit it.
* Open tMap, locate the output table, and click its name to edit it directly.
* B. Assign the name when defining a new output table in the Map Editor window.
* When adding a new output table, you can name it immediately in the Map Editor.
* D. Assign the name when connecting a new output component.
* When you connect an output component to tMap, you can assign a custom row name.
NEW QUESTION # 38
How many sample dataset records and rows can be displayed in Talend Cloud Data Preparation?
- A. 1,000
- B. 10,000
- C. All the available records
- D. 5,000
Answer: B
Explanation:
Comprehensive and Detailed Explanation:
In Talend Cloud Data Preparation, the platform is designed to handle large datasets efficiently by displaying a sample of the data to the user. By default, Talend Cloud Data Preparation can display up to 10,000 records from a dataset. This sampling approach ensures that users can interact with and analyze their data without performance issues that might arise from loading an entire large dataset into memory. Users have the option to view the first 10,000 records (Head sample) or 10,000 randomly selected records (Random sample) to get a representative understanding of the dataset's content.
NEW QUESTION # 39
How can you create REST API metadata in Talend Studio? Choose 2 answers.
- A. Import it from Talend API Designer.
- B. Import it from Talend API Tester.
- C. Create it manually in Talend Studio.
- D. Import it from a JSON file.
Answer: A,C
Explanation:
Comprehensive and Detailed Explanation:
In Talend Studio, REST API metadata can be created using the following methods:
* Create it manually in Talend Studio (Option A):
* Users can define REST API metadata within Talend Studio by manually specifying API structure, endpoints, HTTP methods, and parameters.
* This method provides full control over the API metadata but requires manual configuration.
* Import it from Talend API Designer (Option B):
* If an API has been designed usingTalend API Designer, it can beimported into Talend Studio.
* This enables reusing the API design directly without manual recreation.
Why not other options?
* Option C (Import from JSON file): Talend Studio does not support direct import of REST API metadata from generic JSON files.
* Option D (Import from Talend API Tester): Talend API Tester is used for testing APIs but does not provide an option to import API definitions into Talend Studio.
NEW QUESTION # 40
You are using a tRESTClient component to call a REST service. Which advanced option should you use to convert the response from the server to the document type?
- A. Convert Response To DOM Document
- B. Convert Response To JSON Document
- C. Convert Response To HTML Document
- D. Convert Response To XML Document
Answer: A
Explanation:
Comprehensive and Detailed Explanation:
In Talend Studio, the tRESTClient component includes an advanced setting called"Convert Response To DOM Document". When this option is selected, the response from the REST service is converted into a DOM (Document Object Model) document. This allows for structured processing of the response data within Talend workflows.
NEW QUESTION # 41
What is the generic Input component used for in a Joblet design?
- A. Carrying data into a subJob
- B. Triggering a subJob
- C. Triggering a Joblet
- D. Carrying data into a Joblet
Answer: D
Explanation:
The generic Input component used for in a Joblet design is the tJobletInput component. This component is used to carry data into a Joblet from another component in the job that contains the Joblet. A Joblet is a reusable piece of a job that can be used in multiple jobs as a single component. A Joblet can have one or more input and output flows that connect it with other components in a job. To create these flows, you need to use generic input and output components, such as tJobletInput, tJobletOutput, tJobletTriggerInput, and tJobletTriggerOutput. These components allow you to define schemas and triggers for your Joblet without depending on specific components.
The tJobletInput component is not used for triggering a Joblet, triggering a subjob, or carrying data into a subjob. These are different concepts and functionalities in Talend Studio. A trigger is a link that activates a subjob or a component based on a condition or an event. A subjob is a part of a job that consists of one or more components connected by data flows or triggers. A subjob can be triggered by another subjob using triggers such as OnSubjobOk, OnSubjobError, Run if, etc. A subjob can also carry data into another subjob using data flows such as main, lookup, reject, etc. References: Talend Open Studio: Open-source ETL and Free Data Integration | Talend, [tJobletInput properties - 7.3], [Joblets - 7.3], [Triggers - 7.3]
NEW QUESTION # 42
A colleague has exported a Data Integration Job to run outside Talend Studio.
How do you run the Job?
- A. Extract the content of the archive and run the batch file or the shell script.
- B. Install the Job and start the resulting service.
- C. Extract the files from the archive and run the JAR file.
- D. Extract the contents of the archive and run the batch file and shell script.
Answer: A
Explanation:
To run a job that has been exported by a colleague to run outside Talend Studio, you need to extract the content of the archive and run the batch file or the shell script. The archive file contains all the files and libraries required to run the job independently from Talend Studio on any platform that supports Java. The archive file also contains two executable files: a batch file (.bat) for Windows platforms and a shell script (.sh) for Linux platforms. You need to run the appropriate file for your platform by double-clicking on it or using a command line tool. This will launch the job and display its output in a console window.
You do not need to extract the contents of the archive and run both the batch file and shell script, install the job and start the resulting service, or extract the files from the archive and run the JAR file. These methods are not correct or available in Talend Studio and may cause errors or unexpected results. References: Talend Open Studio: Open-source ETL and Free Data Integration | Talend, [Build Job - 7.3]
NEW QUESTION # 43
You can initialize your component endpoint, API mappings, and documentation from your API definition.
Which API definitions are supported by tRESTRequest?
- A. XML definition file
- B. WSDL file
- C. CSV definition file
- D. OAS/Swagger 2.0 file
Answer: D
Explanation:
Comprehensive and Detailed Explanation:
ThetRESTRequest componentsupportsOpenAPI Specification (OAS)/Swagger 2.0for initializing component endpoints, API mappings, and documentation.
* OAS/Swagger 2.0 file (Correct Answer - Option D):
* tRESTRequest allows API-first development by importing aSwagger 2.0 (OAS) definition.
* This enables automatic configuration of API endpoints, request parameters, and response structures.
* Why not other options?
* CSV definition file (Option A):Not a valid API definition format.
* XML definition file (Option B):XML files are not standard for REST API definitions.
* WSDL file (Option C):WSDL is used for SOAP-based web services, not REST.
NEW QUESTION # 44
You need to set up a server in your Talend environment that enables several members of your team to collaborate on a project.
Which application must you enable before working on a remote project?
- A. Git or SVN server instance must be running.
- B. Git or SVN client must be installed on each developed workstation.
- C. Talent Administration Center instance must be running with the team members and project configured.
- D. Talend admission Center service must be running on each development workstation.
Answer: A,C
NEW QUESTION # 45
You create a Job consisting of two subJobs, A and B. You added Joblet C with the intension of running it between A and B.
What are the minimum requirements to orchestrate this? (Choose Two)
- A. Add TRIGGER_INPUT and TRIGGER_OUTPUT components into C
- B. Add TRIGGER_INPUT and TRIGGER_OUTPUT components into B.
- C. Add TRIGGER_INPUT and TRIGGER_OUTPUT components into A.
- D. Link A, B and C using On Subject Ok triggers.
Answer: A,D
Explanation:
To create a job consisting of two subjobs, A and B, and add a Joblet C with the intention of running it between A and B, you need to do the following steps:
* Design subjob A by adding components and links to it in the Designer workspace.
* Add a Start component to mark the beginning of subjob B and link it to subjob A using an OnSubjobOk trigger.
* Design subjob B by adding components and links to it after the Start component in the Designer workspace.
* Add a tJobletTriggerInput component to your Joblet C design and link it to other components in your Joblet using data flows or triggers.
* Add a tJobletTriggerOutput component to your Joblet C design and link it to other components in your Joblet using data flows or triggers.
* Drag your Joblet C from the Repository tree view to the Designer workspace between subjob A and subjob B.
* Link your Joblet C to subjob A using an OnComponentOk trigger from the last component of subjob A to the tJobletTriggerInput component of your Joblet C.
* Link your Joblet C to subjob B using an OnComponentOk trigger from the tJobletTriggerOutput component of your Joblet C to the Start component of subjob B.
The minimum requirements to orchestrate this are adding TRIGGER_INPUT and TRIGGER_OUTPUT components into C and linking A, B, and C using OnSubjobOk triggers. These are generic components that allow you to define triggers for your Joblet without depending on specific components. You do not need to add TRIGGER_INPUT and TRIGGER_OUTPUT components into A or B, as these are regular subjobs that can use any type of components or triggers. References: Talend Open Studio: Open-source ETL and Free Data Integration | Talend, [tJobletTriggerInput properties - 7.3], [tJobletTriggerOutput properties - 7.3],
[Joblets - 7.3], [Triggers - 7.3]
NEW QUESTION # 46
Which capabilities does Traces Debug provide?
Choose 2 answers
- A. Breaking on a selected line of code
- B. Breaking when an input column fulfills a condition
- C. Advancing one row at a time
- D. Filtering which data is propagated by a flow
- E. Advancing one column at a time
Answer: B,C
Explanation:
Trace Debug mode is a feature that allows you to trace each row processed by your job components and see the values of each column in each row. You can access this mode by opening the Debug Run tab of the Run view and clicking on Trace Debug button.
The capabilities that Trace Debug mode provides are:
* Breaking when an input column fulfills a condition. You can set breakpoints on traces based on a condition or an expression that involves input data columns. For example, you can set a breakpoint to pause your job when a customer name contains a certain string or when a product price exceeds a certain value. To set a breakpoint based on a condition, you need to right-click on a trace on your jobdesign workspace and select Show Breakpoint Setup option. This will open a dialog box where you can enter a condition or an expression for your breakpoint.
* Advancing one row at a time. You can advance the execution of your job one row at a time by using the Step Over button in the toolbar of the Run view. This will allow you to see how each row is processed by your job components and how it affects the output data.
The capabilities that Trace Debug mode does not provide are:
* Filtering which data is propagated by a flow. You cannot filter which data is propagated by a flow in Trace Debug mode. A flow is a link that shows the data transfer between components in your job design workspace. In Trace Debug mode, you can see the data flow on each trace and inspect the values of each column for each row processed by your job. However, you cannot change which rows are propagated by a flow based on a condition or an expression.
* Advancing one column at a time. You cannot advance the execution of your job one column at a time in Trace Debug mode. You can only advance the execution of your job one row at a time by using the Step Over button in the toolbar of the Run view. This will allow you to see how each row is processed by your job components and how it affects the output data. However, you cannot see how each column is processed by your job components and how it affects the output data.
* Breaking on a selected line of code. You cannot break on a selected line of code in Trace Debug mode.
You can only break on a trace based on a condition or an expression that involves input data columns.
To break on a selected line of code, you need to use Java Debug mode. Java Debug mode allows you to debug your job code in Java or Perl and see the values of each variable or expression in your code. You can access this mode by switching to the Java perspective and clicking on the Debug button in the toolbar of the Code view. References: Talend Open Studio: Open-source ETL and Free Data Integration | Talend, [Trace Debug mode - 7.3], [Java Debug mode - 7.3]
NEW QUESTION # 47
What are the key capabilities of Talend Cloud Data Preparation that improve data quality and accessibility? Choose 3 answers.
- A. Transform
- B. Cleanse data
- C. Format data
- D. Discover
- E. Standardize data
Answer: A,B,E
Explanation:
Comprehensive and Detailed Explanation:
Talend Cloud Data Preparation enhances data quality and accessibility through:
* Cleanse data (Option C):
* Identifying and correcting inaccuracies or inconsistencies to ensure data integrity.
* Transform (Option D):
* Modifying data structures or values to meet specific requirements or formats.
* Standardize data (Option E):
* Ensuring uniformity in data presentation and format, facilitating consistency across datasets.
Why not other options?
* Option A: Discovery is typically associated with data profiling, not preparation.
* Option B: Formatting is a subset of transformation and standardization processes.
NEW QUESTION # 48
Which statements are true when comparing a Joblet to a tRunJob component?
Choose 3 answers
- A. The performance of tRunJob component is better than running an equivalent Job using a Joblet.
- B. The performance of a Joblet if better than running an equivalent Job using a tRunJob component.
- C. The nested Job called by a tRunJob component cannot use the same context variable of the Job in which it is used.
- D. A Joblet uses the same context variables of the Job in which it is used, unlinke a tRunJob component.
- E. Building a Joblet typically requires the use of generic input, and trigger component.
Answer: C,D,E
Explanation:
A Joblet is a reusable piece of a job that can be used in multiple jobs as a single component. A tRunJob component is a component that allows you to call another job as a subjob within a parent job. When comparing a Joblet to a tRunJob component, these statements are true:
* A Joblet uses the same context variables of the job in which it is used, unlike a tRunJob component. A context variable is a variable that can store a value that can be changed at runtime or between different contexts. A Joblet inherits the context variables from the job that contains it and does not have its own context variables. A tRunJob component can pass context variables from the parent job to the child job, or use a specific context for the child job.
* Building a Joblet typically requires the use of generic input and trigger components. A Joblet can have one or more input and output flows that connect it with other components in a job. To create these flows, you need to use generic input and trigger components, such as tJobletInput, tJobletOutput, tJobletTriggerInput, and tJobletTriggerOutput. These components allow you todefine schemas and triggers for your Joblet without depending on specific components.
* The nested job called by a tRunJob component cannot use the same context variables of the job in which it is used. A nested job is a job that is called by another job using a tRunJob component. A nested job can have its own context variables or receive context variables from its parent job, but it cannot use the same context variables as its parent job. This means that if you have two context variables with the same name in both jobs, they will be treated as separate variables and will not share values.
These statements are false when comparing a Joblet to a tRunJob component:
* The performance of tRunJob component is better than running an equivalent job using a Joblet. The performance of a Joblet is better than running an equivalent job using a tRunJob component. This is because a Joblet is integrated into the main code of the job and does not require launching another JVM process or loading another metadata object like a tRunJob component does. References: Talend Open Studio: Open-source ETL and Free Data Integration | Talend, [Joblets - 7.3], [tRunJob properties - 7.3],
[Contexts - 7.3]
NEW QUESTION # 49
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