Design security policies and data standards., Data encryption design for data at rest and DP-203 data in transit, Design a data audit strategy, Design a data hiding strategy, Design for data privacy, Design a data retention policy, Design to purge data based on business requirements, Design Azure role-based access control (Azure RBAC) and POSIX-style access control list (ACL) for Data Lake Storage Gen2, Security design at the row and column level, Data security implementation, Configure data masking, Encryption of data at rest and data in motion, Implementing security at the row and column level, Azure RBAC deployment, Implementing POSIX-like ACLs for Data Lake Storage Gen2, Implementation of data retention policy, Implementation of a data audit strategy., Management of identities, keys and secrets for various data platform technologies., Configuring both private and public secure endpoints ,Implement resource tokens in Azure Databricks, loading DataFrame with sensitive information.
Write encrypted data to Parquet tables or files, Management of sensitive information, DP-203 exam dumps Monitor and optimize data storage and processing – (10%-15%)
This part is divided into two other parts as follows.
Monitoring data storage and processing., 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 DP-203 dumps of pipeline tests., Interpreting Azure Monitor metrics and logs, Interpreting a Spark Directed Acyclic Graph (DAG),. Optimization and troubleshooting of data storage and processing.


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