diff --git a/docs/modeling/metadata-model.md b/docs/modeling/metadata-model.md
index 0666494f8506b..f04fc3be64d5e 100644
--- a/docs/modeling/metadata-model.md
+++ b/docs/modeling/metadata-model.md
@@ -351,7 +351,7 @@ Timeseries aspect cannot have any fields that have the @Searchable or @Relations
 completely different flow.
 
 Please refer
-to [DatasetProfile](https://github.com/linkedin/datahub/tree/master/metadata-models/src/main/pegasus/com/linkedin/dataset/DatasetProfile)
+to [DatasetProfile](https://github.com/linkedin/datahub/tree/master/metadata-models/src/main/pegasus/com/linkedin/dataset/DatasetProfile.pdl)
 to see an example of a timeseries aspect.
 
 Because timeseries aspects are updated on a frequent basis, ingests of these aspects go straight to elastic search (
@@ -393,9 +393,9 @@ entities:
 ```
 
 ##### Ingesting a Timeseries aspect
-The timeseries aspects can be ingested via the GSM REST endpoint `/aspects?action=ingestProposal` or via the python API.
+The timeseries aspects can be ingested via the GMS REST endpoint `/aspects?action=ingestProposal` or via the python API.
 
-Example1: Via GSM REST API using curl.
+Example1: Via GMS REST API using curl.
 
 ```shell
 curl --location --request POST 'http://localhost:8080/aspects?action=ingestProposal' \
@@ -451,7 +451,7 @@ my_emitter.emit(mcpw)
 
 ##### Performing an aggregation on a Timeseries aspect.
 
-Aggreations on timeseries aspects can be performed by the GSM REST API for `/analytics?action=getTimeseriesStats` which
+Aggreations on timeseries aspects can be performed by the GMS REST API for `/analytics?action=getTimeseriesStats` which
 accepts the following params.
 * `entityName` - The name of the entity the aspect is associated with.
 * `aspectName` - The name of the aspect.