You work for a startup that handles various data science workloads using on-premises infrastructure. These workloads are predominantly in PySpark. Your team is planning to transition these data science workloads to Google Cloud. For this, you need to develop a proof of concept (PoC) to migrate one specific data science job to Google Cloud. The PoC should involve minimal cost and effort. What is the first step you should take?

Exam-Like

Create a n2-standard-4 VM instance and install Java, Scala, and Apache Spark dependencies on it.

9.0%

Create a Google Kubernetes Engine cluster with a basic node pool configuration, install Java, Scala, and Apache Spark dependencies on it.

10.7%

Create a Standard (1 master, 3 workers) Dataproc cluster, and run a Vertex AI Workbench notebook instance on it.

57.9%

Create a Vertex AI Workbench notebook with instance type n2-standard-4.

22.5%

Google Professional Machine Learning Engineer