Question 1

Your company receives 500 GB of raw JSON telemetry data daily from IoT devices, stored in Azure Data Lake Storage Gen2.

You need to design a data integration solution to transform this data into a structured format for reporting. The transformation logic requires complex data cleansing using Python and Spark. The solution must support orchestration of the pipeline and minimize cluster startup times.

Which Azure service should you recommend?

Accepted Answer

Look for 'Python and Spark' combined with 'orchestration'. Synapse Analytics provides both pipelines and Spark pools in a unified workspace.

Question 2

What mistakes do candidates make on this AZ-305 question?

Accepted Answer

Choosing Data Factory. While ADF can orchestrate Databricks, Synapse provides a unified experience with built-in Spark pools, reducing complexity.

How to approach this question

Full Answer

Common mistakes

Practice the full Azure Solutions Architect Expert AZ-305 Practice Exam 4

More questions from this exam