Batch jobs in D365 F&O - Quiz

1. This batch job does not exist.
2. Copy batch job: When you want to create the same jobs for different legal entities, you can use the Copy batch job functionality to copy an existing batch job and the batch tasks, including recurrences.
3. Batch task: A batch task is an activity that is run by a batch job.
4. Batch group: Use batch groups to categorize batch tasks and run them on specific servers.

1. Ended: Ended is a valid option.
2. Complete: Completed is not a valid option.
3. Canceled: Canceled is a valid option.
4. Error: Error is a valid option.

1. Batch task: A batch task is an activity that is run by a batch job. You can add batch tasks that have multiple types of dependencies to a batch job.
2. Batch framework: The batch framework provides an asynchronous, server-based batch processing environment that can process tasks across multiple instances of the Application Object Server (AOS). The AOS is the interface between the client application, such as a browser, and the finance and operations apps database.
3. Batch group: A batch group is an attribute of a batch task. A batch group lets the administrator determine or specify which AOS instance runs the task.
4. Batch job: A batch job consists of one or more batch tasks.

1. A user with Batch job manager security role, has access to copy a batch job.
2. Create an unplanned batch job: The ability to create unplanned batch jobs is one of the privileges assigned to the Batch job manager security role.
3. The Batch job manager security role can specify time ranges during which jobs can execute.
4. The Batch job manager security role can manage batch jobs, but cannot make any system level changes like an Administrator can.

Option A is correct because the pack()/unpack() method is used to marshal the state of the current instance to the new instance prior to starting the run() method. Option B is incorrect because the run() method is used to start the process, not to marshal the state. Option C is incorrect because the AsyncInfo() method is used to run a synchronous operation on the asynchronous session, not to marshal the state. Option D is incorrect because callStaticMethod() is used to run the AsyncInfo static method by using the sandbox framework, not to marshal the state.

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The correct answer is to use parallelism and multi-threading for high-volume scenarios. This approach can significantly improve system scalability by allowing tasks to run simultaneously on different processors or threads. Reducing the number of users who can access the data, increasing the server's memory allocation, or disabling all batch jobs do not directly address the underlying scalability issue and might not improve system scalability or could require impractical manual intervention.

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OData service endpoints allow real-time data exchange, which is necessary for the retailer's requirement. The Data Management Framework REST API is used for asynchronous, batched data transfer and does not support real-time updates. The Electronic Reporting tool is intended for configuring document formats for regulatory reporting, not for product catalog integration. A batch job would only synchronize data periodically, not in real time.

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Implementing the Excel add-in for Dynamics 365 and designing templates for each department automates the report generation process and minimizes manual work. Training department heads for manual export is not efficient. Scheduling a batch job does not provide customized reports for each department. Creating a single template requires manual data entry, which is not efficient.

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Resequencing options allow for optimization of execution time while maintaining the correct order based on dependencies. Disabling dependency checks could lead to data integrity issues. Scheduling during off-peak hours does not address the efficiency of the job itself. Increasing the batch size may not respect dependencies and could lead to system performance issues.

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Batch processing with defined batch groups allows for scheduling jobs to run during off-peak hours, minimizing system load during critical business operations. Real-time services execution and continuous background service without scheduling do not provide control over job timing. Manual triggering is not efficient for regular system jobs.

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