Build and operate the data processing systems behind analytics and ML on Google Cloud, including BigQuery, Dataflow, and Pub/Sub, and track your readiness for the Professional Data Engineer exam.
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Google Cloud service
Apigee
Topic in 2 exam domains
Also called: Apigee API management, Apigee API management platform, Apigee on Google Cloud, Apigee platform, Apigee public cloud offering, Apigee X, ApigeeX
Google Cloud's API management platform for designing, securing, and scaling APIs.
Where this appears on the exam
2 objectives in 2 of 5 domains
Related topics
FoundationsBuilding blocksThis topicWorks alongsideBuilds on theseAppliedCompute EngineServiceCloud LoggingServiceCloud Key Management ServiceServiceBigQuery APIServiceVPC Service ControlsServiceGKEServicecustomer-managed encryption keysFeature
ApigeeService
Private Service ConnectFeatureCloud Load BalancingServiceCloud MonitoringServiceCloud RunServiceWorkflowsServiceGoogle Kubernetes EngineServiceCMEKFeatureApplication IntegrationServiceBigQueryServiceCloud SQLServiceCloud StorageServicePoints to what builds on itWorks with or alternative toHover or tap a line to see what connects the two
- Apigee works with Private Service Connect From the official documentation: “Network connectivity issues between Apigee and a southbound target service connected by Private Service Connect.”
- Apigee works with customer-managed encryption keys From the official documentation: “This page describes using CMEK with Apigee.”
- Apigee works with Compute Engine From the official documentation: “| [Compute Engine](https://console.cloud.google.com/apis/library/compute.googleapis.com) | `compute.googleapis.com` | Used for managing your Apigee runtime. |”
- Apigee works with BigQuery From the official documentation: “You can use the Apigee API to export all analytics data for an entire day from Apigee to your own data repository, such as Google Cloud Storage or BigQuery.”
- Apigee depends on BigQuery API From the official documentation: “Apigee uses the BigQuery API to leverage BigQuery export features when exporting to Cloud Storage.”
- Apigee works with Cloud Key Management Service From the official documentation: “If you already created new Cloud KMS encryption keys for Apigee, you can use those rather than create new keys during your setup.”
- Apigee works with Cloud Load Balancing From the official documentation: “Load balancer configured to send API calls to Apigee”
- Apigee works with Cloud Logging From the official documentation: “This page describes how to find and use [Cloud Logging](/logging/docs) to query and view maintenance logs for an Apigee instance.”
- Apigee works with Cloud Monitoring From the official documentation: “If you are behind a corporate proxy or firewall, Apigee may not be able to send metrics to Cloud Monitoring with its default settings.”
- Apigee works with Cloud Run From the official documentation: “Apigee supports using [Google OAuth tokens](https://developers.google.com/identity/protocols/oauth2) or [OpenID Connect tokens](https://developers.google.com/identity/protocols/oauth2/openid-connect) to authenticate with Google services such as [Cloud…”
- Apigee works with VPC Service Controls From the official documentation: “Apigee integrations with VPC Service Controls have the following limitations:”
- Application Integration is part of Apigee From the official documentation: “This is a Private preview of the Application Integration feature for Apigee X.”
- CMEK is part of Apigee From the official documentation: “**Dashboard availability:** This dashboard is not available if your Apigee organization was provisioned with compliance-related Apigee features, such as [data residency](/apigee/docs/api-platform/get-started/drz-concepts)…”
- customer-managed encryption keys secures Apigee From the official documentation: “To ensure that customer-managed encryption keys are always used when encrypting your data in Apigee, create the following organization policy constraint:”
- customer-managed encryption keys depends on Cloud Key Management Service From the official documentation: “These keys are created and managed using Cloud KMS.”
- BigQuery is an alternative to Cloud Storage From the official documentation: “The `import_result_sink` must be a Cloud Storage path or a BigQuery table.”
- BigQuery works with Cloud Logging From the official documentation: “BigQuery utilizes Cloud Logging for some of your log data.”
- BigQuery works with Cloud Storage From the official documentation: “External BigQuery data source backed by Cloud Storage”
- BigQuery works with Cloud SQL From the official documentation: “Add credentials to connect BigQuery to Cloud SQL.”
- Cloud Run works with Cloud SQL From the official documentation: “Learn how to connect to Cloud SQL from Cloud Run”
- VPC Service Controls secures BigQuery From the official documentation: “BigQuery data is protected with VPC Service Controls”
- Cloud Logging works with customer-managed encryption keys From the official documentation: “To use Cloud Logging with Customer-managed encryption keys (CMEK), you must complete the steps in the [Enable CMEK for an organization](/logging/docs/routing/managed-encryption#enable) page in the Cloud Logging documentation.”
- Cloud SQL works with Cloud Storage From the official documentation: “When ingesting data from Cloud SQL, data is first staged to a Cloud Storage bucket.”
- Cloud SQL works with Private Service Connect From the official documentation: “You can use Private Service Connect to connect to a Cloud SQL instance from multiple VPC networks.”
- BigQuery works with Cloud Monitoring From the official documentation: “You can use Monitoring to export your metrics to BigQuery.”
- Cloud SQL works with Compute Engine From the official documentation: “Create a Compute Engine VM Instance to host a sample web app that connects to Cloud SQL.”
- Cloud Run works with Cloud Storage From the official documentation: “Route Cloud Storage events to Cloud Run”
- Cloud Key Management Service works with customer-managed encryption keys From the official documentation: “With CMEK, Cloud Key Management Service wraps your stored volume keys.”
- Cloud Logging works with GKE From the official documentation: “Enable Cloud Logging on GKE Clusters”
- Compute Engine is an alternative to GKE From the official documentation: “To use TPU7x, you can use Google Kubernetes Engine (GKE) or Compute Engine.”
- Cloud Monitoring works with Cloud SQL From the official documentation: “You can also get more details by viewing the Cloud Monitoring logs for your Cloud SQL destination instance.”
- Cloud Monitoring works with GKE From the official documentation: “Enable Cloud Monitoring on GKE Clusters”
- CMEK secures Cloud SQL From the official documentation: “Enable CMEK for Cloud SQL Databases”
- customer-managed encryption keys secures Cloud Storage From the official documentation: “CMEKs encrypt data at rest in Cloud SQL, Cloud Storage, and within GKE clusters.”
- Cloud Logging works with Cloud SQL From the official documentation: “Cloud SQL uses Cloud Logging.”
- Cloud Run is an alternative to GKE From the official documentation: “The app uses Cloud SQL, Vertex AI, and either Google Kubernetes Engine (GKE) or Cloud Run.”
- Cloud Run works with Workflows From the official documentation: “Route Workflows events to Cloud Run”
- Cloud SQL depends on Compute Engine From the official documentation: “Cloud SQL uses Compute Engine virtual machines (VMs) with persistent storage disks.”
- CMEK secures BigQuery From the official documentation: “Enable CMEK for BigQuery Tables”
- customer-managed encryption keys secures BigQuery From the official documentation: “You can either create CMEKs manually to protect your BigQuery resources or use Cloud KMS Autokey.”
- customer-managed encryption keys secures Cloud SQL From the official documentation: “Enable CMEK for Cloud SQL Databases”
- Cloud Storage works with customer-managed encryption keys From the official documentation: “Cloud Storage supports CMEK for routing logs.”
- CMEK secures Cloud Storage From the official documentation: “Enable CMEK for Cloud Storage Buckets”
- VPC Service Controls secures Cloud Storage From the official documentation: “Storage Transfer Service supports transfers to Cloud Storage buckets protected by VPC Service Controls.”
- Cloud Logging works with Cloud Storage From the official documentation: “Cloud Storage writes various log entries to Cloud Logging in the Google Cloud console.”
- Cloud SQL works with GKE From the official documentation: “[From an application running on GKE](/sql/docs/postgres/connect-kubernetes-engine)”
- Application Integration works with Cloud Monitoring From the official documentation: “Application Integration is synchronously [integrated](/monitoring/agent/integrations) with Cloud Monitoring.”
- BigQuery works with Cloud Key Management Service From the official documentation: “Change the Cloud KMS key for a BigQuery table”
- BigQuery depends on Cloud Logging From the official documentation: “BigQuery utilizes Cloud Logging for some of your log data.”
- Cloud Key Management Service works with Cloud SQL From the official documentation: “Cloud KMS integrates with Cloud SQL.”
- Cloud Logging works with Compute Engine From the official documentation: “Compute Engine sends you Cloud Logging events for scheduled, started, or completed maintenance.”
- Cloud Storage works with Compute Engine From the official documentation: “You can use a web browser, the Google Cloud CLI, or a programming language to transfer files between Cloud Storage and Compute Engine VMs.”
- Compute Engine is an alternative to Google Kubernetes Engine From the official documentation: “You can install MongoDB on a Compute Engine instance or you can deploy MongoDB on Google Kubernetes Engine.”
- customer-managed encryption keys is part of Cloud Key Management Service From the official documentation: “The Cloud KMS keys that you create are customer-managed keys.”
- GKE depends on Compute Engine From the official documentation: “For example, GKE deploys clusters on Compute Engine VMs.”
- Private Service Connect works with VPC Service Controls From the official documentation: “VPC Service Controls that use Private Service Connect”
- VPC Service Controls secures Cloud SQL From the official documentation: “VPC Service Controls perimeters protect the Cloud SQL Admin API.”
- Application Integration works with Cloud Logging From the official documentation: “To store integration execution logs in Cloud Logging, you must first enable Cloud Logging for your integration.”
- BigQuery works with Cloud Run From the official documentation: “You can then use Cloud Run to transcode data present in the bucket and move it to BigQuery.”
- BigQuery works with Workflows From the official documentation: “To learn more about using Workflows with BigQuery, see [Run multiple BigQuery jobs in parallel](/workflows/docs/tutorials/bigquery-parallel-jobs).”
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