Merge pull request #209176 from atikmapari/Broken-link-marhamil

Broken link fixed

Author: prmerger-automator[bot]

articles/cognitive-services/big-data/cognitive-services-for-big-data.md

@@ -20,7 +20,7 @@ Using the resources and libraries described in this article, you can embed conti
 
 ## Features and benefits
 
-Cognitive Services for big data can use resources from any [supported region](https://azure.microsoft.comglobal-infrastructure/services/?products=cognitive-services), as well as [containerized Cognitive Services](../cognitive-services-container-support.md). Containers support low or no connectivity deployments with ultra-low latency responses. Containerized Cognitive Services can be run locally, directly on the worker nodes of your Spark cluster, or on an external orchestrator like Kubernetes.
+Cognitive Services for big data can use resources from any [supported region](https://azure.microsoft.com/global-infrastructure/services/?products=cognitive-services), as well as [containerized Cognitive Services](../cognitive-services-container-support.md). Containers support low or no connectivity deployments with ultra-low latency responses. Containerized Cognitive Services can be run locally, directly on the worker nodes of your Spark cluster, or on an external orchestrator like Kubernetes.
 
 ## Supported services
 

articles/cognitive-services/big-data/getting-started.md

@@ -98,7 +98,7 @@ To get started on Azure Kubernetes Service, follow these steps:
 
 ## Try a sample
 
-After you set up your Spark cluster and environment, you can run a short sample. This sample assumes Azure Databricks and the `mmlspark.cognitive` package. For an example using `synapseml.cognitive`, see [Add search to AI-enriched data from Apache Spark using SynapseML](/search/search-synapseml-cognitive-services).
+After you set up your Spark cluster and environment, you can run a short sample. This sample assumes Azure Databricks and the `mmlspark.cognitive` package. For an example using `synapseml.cognitive`, see [Add search to AI-enriched data from Apache Spark using SynapseML](/azure/search/search-synapseml-cognitive-services).
 
 First, you can create a notebook in Azure Databricks. For other Spark cluster providers, use their notebooks or Spark Submit.