Answer: No

## Analysis of the Proposed Solution Let's evaluate each component of the proposed solution against the stated requirements: ### 1. Data Scientists Cluster (Standard Cluster) **✅ MEETS REQUIREMENTS** - **Requirement**: Each data scientist must have their own cluster that terminates automatically after 120 minutes of inactivity. - **Standard Cluster Behavior**: Standard clusters automatically terminate after 120 minutes of inactivity by default, which perfectly matches the requirement. - **Language Support**: Data scientists need Scala and R support. Standard clusters support all languages including Scala, Python, SQL, and R. ### 2. Data Engineers Cluster (High Concurrency Cluster) **✅ MEETS REQUIREMENTS** - **Requirement**: Data engineers must share a cluster and use Python and SQL. - **High Concurrency Cluster Benefits**: High Concurrency clusters are specifically designed for multiple users sharing resources efficiently. - **Language Support**: Data engineers only need Python and SQL, which are fully supported by High Concurrency clusters. ### 3. Jobs Cluster (High Concurrency Cluster) **❌ DOES NOT MEET REQUIREMENTS** - **Requirement**: Jobs need to run notebooks using Python, Scala, and SQL. - **Critical Issue**: High Concurrency clusters do **not** support Scala workloads. High Concurrency clusters can only run workloads developed in SQL, Python, and R. - **Technical Reason**: The performance and security benefits of High Concurrency clusters are achieved by running user code in separate processes, which is not possible with Scala due to JVM limitations. ## Why the Solution Fails The solution fails because the job cluster configuration is incompatible with the Scala requirement. While: - Standard clusters for data scientists ✓ Correct - High Concurrency clusters for data engineers ✓ Correct - High Concurrency clusters for jobs ✗ Incorrect (Scala not supported) ## Correct Alternative For the job cluster, a **Standard cluster** should be used instead of a High Concurrency cluster to ensure full Scala support alongside Python and SQL capabilities. ## Conclusion Despite two out of three cluster configurations being correct, the solution does **not** meet the goal due to the fundamental incompatibility between High Concurrency clusters and Scala workloads for the job cluster requirement.

Author: LeetQuiz Editorial Team