Azure Data Engineering: Cluster Modes for Minimum Query Latency and Maximum Resource Utilization

Best Cluster Modes for Maximum Resource Utilization and Minimum Query Latency

Question

Lisa is working as a Data scientist at Contoso.

She's building the Machine Learning libraries with SQL and R language which requires minimum query latency and fine-grained sharing with maximum utilization of resources.

Which Cluster modes should be selected during Cluster creation for this scenario?

Answers

Explanations

Click on the arrows to vote for the correct answer

A. B. C. D.

Correct Answer: B.

Based on the scenario presented, the most suitable Cluster mode to select during Cluster creation would be the High-Concurrency cluster.

A High-Concurrency cluster is designed to provide low-latency queries and fine-grained resource sharing, which is exactly what Lisa needs for building Machine Learning libraries with SQL and R language. High-Concurrency clusters support multiple concurrent users and provide fine-grained resource allocation, enabling optimal resource utilization.

In contrast, a Standard cluster is a good option for running large-scale batch jobs, whereas a Job cluster is designed for executing a single batch job with a specific set of resources. Finally, a Single node cluster is useful for development and testing purposes, but it does not provide the required resources for a production environment.

Therefore, based on the scenario presented, the most appropriate option is the High-Concurrency cluster as it meets the requirements of minimum query latency and fine-grained sharing with maximum utilization of resources for building Machine Learning libraries with SQL and R language.