Exam DP-203 topic 2 question 35 discussion

1/14 = 0.07 6% = 0.06 should be lowered.

"We recommend that you increase the concurrent jobs limit only when you see low resource usage with the default values on each node." https://docs.microsoft.com/en-us/azure/data-factory/monitor-integration-runtime

Raise!! You should raise the number of concurrent jobs, as the system is currently underutilized in terms of both CPU and memory, and increasing the concurrent jobs will help better use available capacity.

Based on the description of the integration runtime configuration and node details in the image, here are the correct choices for the statements: 1. **If the X-M node becomes unavailable, all executed pipelines will:** - Since there is only one node (1/1) and high availability is disabled, if the X-M node becomes unavailable, **all executed pipelines will fail until the node comes back online**. 2. **The number of concurrent jobs and the CPU usage indicate that the Concurrent Jobs (Running/Limit) value should be:** - The current concurrent jobs are 2/14, and the CPU utilization is only at 6%, indicating that the system has plenty of resources available to handle more concurrent jobs. Therefore, the Concurrent Jobs (Running/Limit) value **should be raised**. These answers reflect the situation presented in the image. Let me know if you need further clarification!

The answer provided by edba is explaining the question as well as the answer very well. The second question is asking what should we do with the LIMIT of the concurrent jobs which is currently set to 14. Since only 2 jobs are running, the LIMIT of concurrent jobs can be reduced from 14, so the question is asking about what should be do with the limit of concurrent jobs and not about what should we do with the actual concurrent jobs that can be run. Check the below link https://docs.microsoft.com/en-us/azure/data-factory/create-self-hosted-integration-runtime?tabs=data-factory#scale-considerations

Agreed on the answer for the first part but not the second. https://docs.microsoft.com/en-us/azure/data-factory/monitor-integration-runtime "We recommend that you increase the concurrent jobs limit only when you see low resource usage with the default values on each node." I think the answer should be raised

Got this question on my exam on january 17, I wasn't sure but I put the same answers as the dump

Chatgpt : Given that high availability is not enabled for the self-hosted integration runtime, the correct answer for the first statement is: - **Fail until the node comes back online.** For the second statement regarding the number of concurrent jobs, considering that the CPU utilization is quite low at 6%, and there is a significant difference between the number of running jobs (2) and the limit (14), the correct answer should be: - **Left as is.** There is no indication from the given data that the concurrent jobs limit needs to be adjusted, as the system is currently underutilized.

ChatGPT says: *it should be raised* because there's currently a very low CPU utilization (only 6%) and two concurrent jobs running out of a limit of 14. The fact that the CPU utilization is quite low suggests that your integration runtime has available processing capacity.

I don't know why there is this one standard bs answer with lowered everywhere. So only 2 concurrent jobs are running out of 14 possible and CPU usage is at 6%, does it not make sense to raise the concurrent jobs to be even 14/14 and still have only 42% CPU usage. Or is this question aiming at something else?

Left as it is

be lowered

Based on the information provided, the CPU Utilization is 6% and the Concurrent Jobs (Running/Limit) is 2/14. This indicates that the integration runtime is utilizing only 6% of the available CPU capacity and currently running 2 out of a maximum limit of 14 concurrent jobs. Given this information, the appropriate answer choice for the completion statement would be: Concurrent Job should be scaled up Since the current CPU utilization is relatively low at 6% and there is still capacity available for running additional jobs, scaling up the concurrent job limit would allow for more jobs to run simultaneously and make better use of the available resources.

We are talking about max number of job running in parallel! If you have available resource of course it is recommanded to raise up the current limit to afford future load. Also Microsoft recommned that: https://learn.microsoft.com/en-us/azure/data-factory/monitor-integration-runtime We recommend that you increase the concurrent jobs limit only when you see low resource usage with the default values on each node. I think this is the case, also the question doesn't tell you it's mandatory, what should! So I think we should follow recommandation and raise up the limit.

when the explanation is "scale up by increasing the number" then why the answer is "Lowered"???

I would leave it as it is. See: https://learn.microsoft.com/en-us/azure/data-factory/monitor-integration-runtime "The default value of the concurrent jobs limit is set based on the machine size. The factors used to calculate this value depend on the amount of RAM and the number of CPU cores of the machine. So the more cores and the more memory, the higher the default limit of concurrent jobs. You scale out by increasing the number of nodes. When you increase the number of nodes, the concurrent jobs limit is the sum of the concurrent job limit values of all the available nodes. For example, if one node lets you run a maximum of twelve concurrent jobs, then adding three more similar nodes lets you run a maximum of 48 concurrent jobs (that is, 4 x 12). We recommend that you increase the concurrent jobs limit only when you see low resource usage with the default values on each node."

the concurrent jobs limit is the sum of the concurrent job limit values of all the available nodes