Exam DP-203 topic 4 question 23 discussion

Notebook- azure databricks, managing activities in pipeline-datafactroy

D & E; Databricks for Wrangling and Notebooks; ADF for Copy and Jar

ChatGPT confirms Data Factory Monitor for Copy and Wrangling + Databricks for Notebook and Jar.

Examtopics answers are incorrect. 1. Why would you use Synapse Analytics to debug something that it outside of its own system (i.e. Data Factory Pipelines). 2. Azure Machine Learning describes a type of logic you can implement. It is not an "environment" where you can debug a Data Factory Pipeline.

I found this question on my exam 30/04/2024, and I put DE. I passed the exam with a high score, but I'm not sure if the answer is correct.

notebook-> databricks copy -> adf

Just a detail: there's another question on examtopics, perfectly identical, with solution DE ...

he two Azure services you should use to debug the activities are Azure Data Factory and Azure Databricks. Azure Data Factory provides a comprehensive debugging experience for all types of activities, including wrangling data flows, notebooks, and copy activities. You can use the Data Factory UI or command-line tools to step through activities, inspect data, and identify errors. Azure Databricks is a cloud-based platform for big data processing that offers a rich debugging experience for Jar activities. You can use Databricks notebooks to debug Jar code, inspect variables, and set breakpoints.

is correct

Wrangling and Copy = ADF Jar and Notbooks = Databricks

D. Azure Data Factory: Azure Data Factory itself provides debugging capabilities for its activities. You can monitor and debug the execution of pipeline activities directly within the Azure Data Factory interface. It allows you to view activity run details, input/output data, logs, and diagnose any errors or issues encountered during execution. E. Azure Databricks: Azure Databricks is a powerful analytics platform that integrates well with Azure Data Factory. You can use it to debug and analyze Notebook activities within the Data Factory pipelines. Azure Databricks provides an interactive environment to run and debug notebooks, allowing you to inspect intermediate data, execute code step-by-step, and troubleshoot any issues.

D - Azure Data Factory E - Azure Databricks

You "de-bug" the activity with ML??? Seriously??? come on man??? from where you are getting these answers???

D & E are correct

Notebook on azure databricks, rest on pipeline data factroy. No sense for AandC

Wrangling and Copy = ADF Jar and Notbooks = Databricks

should be DE