This part is divided into two other parts as follows.
Monitoring data storage and processing DP-203 , Implementation of logging used by Azure Monitor, Configure monitoring services, Measuring data movement performance, Monitoring and updating data statistics in a system, Monitoring data pipeline performance, Measure query performance, Monitoring cluster performance, Understand custom registration options, Planning and monitoring of pipeline tests., Interpreting Azure Monitor metrics and logs, Interpreting a Spark Directed Acyclic DP-203 exam dumps Graph (DAG),. Optimization and troubleshooting of data storage and processing.
Compact small files, Rewrite User Defined Functions (UDF), Manage bias in data, Data leak management, Set up random partitions, Finding beer in a pipe, Optimization of resource management, Tune queries using indexers, Tune queries using cache, Optimizing pipelines for analytical or transactional purposes, Optimizing pipelines for descriptive and analytical DP-203 dumps workloads, Troubleshooting a failed Spark job, Troubleshooting a failed pipeline execution