Scenario: A company is experiencing resource contention issues when running Hive queries with Apache Spark. As a Hive with Apache Spark expert, how would you optimize resource utilization and ensure efficient query execution?

To optimize resource utilization and ensure efficient query execution in a Hive with Apache Spark environment experiencing resource contention, one should focus on optimizing memory management, increasing cluster capacity, utilizing dynamic resource allocation, and optimizing shuffle operations. These strategies help prevent resource bottlenecks, improve overall system performance, and ensure smooth query execution even under high workload demands.