diff --git a/CHANGELOG.next.asciidoc b/CHANGELOG.next.asciidoc
index 4ad429f9d04..02d7cc517d7 100644
--- a/CHANGELOG.next.asciidoc
+++ b/CHANGELOG.next.asciidoc
@@ -59,6 +59,7 @@ https://github.com/elastic/beats/compare/v7.0.0-alpha2...master[Check the HEAD d
 *Metricbeat*
 
 - Fix performance counter values for windows/perfmon metricset.{issue}14036[14036] {pull}14039[14039] {pull}14108[14108]
+- Add FailOnRequired when applying schema and fix metric names in mongodb metrics metricset. {pull}14143[14143]
 
 *Packetbeat*
 
diff --git a/metricbeat/docs/fields.asciidoc b/metricbeat/docs/fields.asciidoc
index 35abbf14a6c..1ed024d6bc9 100644
--- a/metricbeat/docs/fields.asciidoc
+++ b/metricbeat/docs/fields.asciidoc
@@ -19430,7 +19430,7 @@ Reports data from the query execution system.
 
 
 
-*`mongodb.metrics.query_executor.scanned_indexes`*::
+*`mongodb.metrics.query_executor.scanned_indexes.count`*::
 +
 --
 The total number of index items scanned during queries and query-plan evaluation.
@@ -19440,7 +19440,7 @@ type: long
 
 --
 
-*`mongodb.metrics.query_executor.scanned_documents`*::
+*`mongodb.metrics.query_executor.scanned_documents.count`*::
 +
 --
 The total number of documents scanned during queries and query-plan evaluation.
@@ -19884,7 +19884,7 @@ Reports on the operation of the resource use of the ttl index process.
 
 
 
-*`mongodb.metrics.ttl.deleted_documents`*::
+*`mongodb.metrics.ttl.deleted_documents.count`*::
 +
 --
 The total number of documents deleted from collections with a ttl index.
@@ -19894,7 +19894,7 @@ type: long
 
 --
 
-*`mongodb.metrics.ttl.passes`*::
+*`mongodb.metrics.ttl.passes.count`*::
 +
 --
 The number of times the background process removes documents from collections with a ttl index.
diff --git a/metricbeat/module/mongodb/fields.go b/metricbeat/module/mongodb/fields.go
index 9394cc66c58..d58cbd01254 100644
--- a/metricbeat/module/mongodb/fields.go
+++ b/metricbeat/module/mongodb/fields.go
@@ -32,5 +32,5 @@ func init() {
 // AssetMongodb returns asset data.
 // This is the base64 encoded gzipped contents of ../metricbeat/module/mongodb.
 func AssetMongodb() string {
-	return "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"
+	return "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"
 }
diff --git a/metricbeat/module/mongodb/metrics/_meta/fields.yml b/metricbeat/module/mongodb/metrics/_meta/fields.yml
index a3b89c0c1ec..a7a16fdde4e 100644
--- a/metricbeat/module/mongodb/metrics/_meta/fields.yml
+++ b/metricbeat/module/mongodb/metrics/_meta/fields.yml
@@ -313,11 +313,11 @@
       description: >
         Reports data from the query execution system.
       fields:
-        - name: scanned_indexes
+        - name: scanned_indexes.count
           type: long
           description: >
             The total number of index items scanned during queries and query-plan evaluation.
-        - name: scanned_documents
+        - name: scanned_documents.count
           type: long
           description: >
             The total number of documents scanned during queries and query-plan evaluation.
@@ -522,11 +522,11 @@
       description: >
         Reports on the operation of the resource use of the ttl index process.
       fields:
-        - name: deleted_documents
+        - name: deleted_documents.count
           type: long
           description: >
             The total number of documents deleted from collections with a ttl index.
-        - name: passes
+        - name: passes.count
           type: long
           description: >
             The number of times the background process removes documents from collections with a ttl index.
diff --git a/metricbeat/module/mongodb/metrics/data.go b/metricbeat/module/mongodb/metrics/data.go
index 8ec730daeb6..920cf6f0777 100644
--- a/metricbeat/module/mongodb/metrics/data.go
+++ b/metricbeat/module/mongodb/metrics/data.go
@@ -22,7 +22,7 @@ import (
 	c "github.com/elastic/beats/libbeat/common/schema/mapstriface"
 )
 
-var schema = s.Schema{
+var schemaMetrics = s.Schema{
 	"commands": c.Dict("metrics.commands", s.Schema{
 		"is_self":                 c.Dict("_isSelf", commandSchema),
 		"aggregate":               c.Dict("aggregate", commandSchema),
diff --git a/metricbeat/module/mongodb/metrics/metrics.go b/metricbeat/module/mongodb/metrics/metrics.go
index 4b678696fd8..5681b160a2b 100644
--- a/metricbeat/module/mongodb/metrics/metrics.go
+++ b/metricbeat/module/mongodb/metrics/metrics.go
@@ -19,11 +19,11 @@ package metrics
 
 import (
 	"github.com/pkg/errors"
+	"gopkg.in/mgo.v2/bson"
 
+	"github.com/elastic/beats/libbeat/common/schema"
 	"github.com/elastic/beats/metricbeat/mb"
 	"github.com/elastic/beats/metricbeat/module/mongodb"
-
-	"gopkg.in/mgo.v2/bson"
 )
 
 func init() {
@@ -68,7 +68,7 @@ func (m *MetricSet) Fetch(reporter mb.ReporterV2) error {
 		return errors.Wrap(err, "failed to retrieve serverStatus")
 	}
 
-	data, err := schema.Apply(result)
+	data, err := schemaMetrics.Apply(result, schema.FailOnRequired)
 	if err != nil {
 		return errors.Wrap(err, "failed to apply schema")
 	}