updates to links

Author: julieMSFT

articles/synapse-analytics/sql-data-warehouse/massively-parallel-processing-mpp-architecture.md

@@ -28,7 +28,7 @@ Azure Synapse is a limitless analytics service that brings together enterprise d
 
 ## Synapse SQL MPP architecture components
 
-[Synapse SQL](sql-data-warehouse-overview-what-is.md#sql-analytics-and-sql-pool-in-azure-synapse) leverages a scale-out architecture to distribute computational processing of data across multiple nodes. The unit of scale is an abstraction of compute power that is known as a [data warehouse unit](what-is-a-data-warehouse-unit-dwu-cdwu.md). Compute is separate from storage, which enables you to scale compute independently of the data in your system.
+[Synapse SQL](sql-data-warehouse-overview-what-is.md#synapse-sql-pool-in-azure-synapse) leverages a scale-out architecture to distribute computational processing of data across multiple nodes. The unit of scale is an abstraction of compute power that is known as a [data warehouse unit](what-is-a-data-warehouse-unit-dwu-cdwu.md). Compute is separate from storage, which enables you to scale compute independently of the data in your system.
 
 ![Synapse SQL architecture](./media/massively-parallel-processing-mpp-architecture/massively-parallel-processing-mpp-architecture.png)
 

articles/synapse-analytics/sql-data-warehouse/sql-data-warehouse-concept-resource-utilization-query-activity.md

@@ -44,15 +44,15 @@ The following metrics are available in the Azure portal for Synapse SQL. These m
 
 Things to consider when viewing metrics and setting alerts:
 
-- DWU used represents only a **high-level representation of usage** across the SQL pool and is not meant to be a comprehensive indicator of utilization. To determine whether to scale up or down, consider all factors which can be impacted by DWU such as concurrency, memory, tempdb, and adaptive cache capacity. We recommend [running your workload at different DWU settings](sql-data-warehouse-manage-compute-overview#finding-the-right-size-of-data-warehouse-units) to determine what works best to meet your business objectives.
+- DWU used represents only a **high-level representation of usage** across the SQL pool and is not meant to be a comprehensive indicator of utilization. To determine whether to scale up or down, consider all factors which can be impacted by DWU such as concurrency, memory, tempdb, and adaptive cache capacity. We recommend [running your workload at different DWU settings](sql-data-warehouse-manage-compute-overview.md#finding-the-right-size-of-data-warehouse-units) to determine what works best to meet your business objectives.
 - Failed and successful connections are reported for a particular data warehouse - not for the logical server
 - Memory percentage reflects utilization even if the data warehouse is in idle state - it does not reflect active workload memory consumption. Use and track this metric along with others (tempdb, gen2 cache) to make a holistic decision on if scaling for additional cache capacity will increase workload performance to meet your requirements.
 
 ## Query activity
 
 For a programmatic experience when monitoring Synapse SQL via T-SQL, the service provides a set of Dynamic Management Views (DMVs). These views are useful when actively troubleshooting and identifying performance bottlenecks with your workload.
 
-To view the list of DMVs that apply to Synapse SQL, refer to this [documentation](sql-data-warehouse-reference-tsql-system-views#sql-data-warehouse-dynamic-management-views-dmvs). 
+To view the list of DMVs that apply to Synapse SQL, refer to this [documentation](sql-data-warehouse-reference-tsql-system-views.md#sql-data-warehouse-dynamic-management-views-dmvs). 
 
 ## Metrics and diagnostics logging
 

articles/synapse-analytics/sql-data-warehouse/what-is-a-data-warehouse-unit-dwu-cdwu.md

@@ -19,7 +19,7 @@ Recommendations on choosing the ideal number of data warehouse units (DWUs) to o
 
 ## What are Data Warehouse Units
 
-A [Synapse SQL pool](sql-data-warehouse-overview-what-is.md#sql-analytics-and-sql-pool-in-azure-synapse) represents a collection of analytic resources that are being provisioned when using [Synapse SQL pool](sql-data-warehouse-overview-what-is.md#sql-analytics-and-sql-pool-in-azure-synapse). Analytic resources are defined as a combination of CPU, memory and IO. These three resources are bundled into units of compute scale called Data Warehouse Units (DWUs). A DWU represents an abstract, normalized measure of compute resources and performance. A change to your service level alters the number of DWUs that are available to the system, which in turn adjusts the performance, and the cost, of your system.
+A [Synapse SQL pool](sql-data-warehouse-overview-what-is.md#synapse-sql-pool-in-azure-synapse) represents a collection of analytic resources that are being provisioned. Analytic resources are defined as a combination of CPU, memory and IO. These three resources are bundled into units of compute scale called Data Warehouse Units (DWUs). A DWU represents an abstract, normalized measure of compute resources and performance. A change to your service level alters the number of DWUs that are available to the system, which in turn adjusts the performance, and the cost, of your system.
 
 For higher performance, you can increase the number of data warehouse units. For less performance, reduce data warehouse units. Storage and compute costs are billed separately, so changing data warehouse units does not affect storage costs.