training pipeline

Related topics

• training pipeline is part of Gemini Enterprise Agent Platform From the official documentation: “There are three types of Agent Platform resources you can create to train custom models on Agent Platform: - [Custom jobs](/gemini-enterprise-agent-platform/machine-learning/training/create-custom-job) - [Hyperparameter tuning…”
• training pipeline depends on Google Cloud Storage From the official documentation: “This section describes using the training package that you uploaded to Cloud Storage to run an Agent Platform custom training pipeline.”
• Application Default Credentials secures BigQuery From the official documentation: “To authenticate to BigQuery, set up Application Default Credentials.”
• BigQuery works with Cloud Logging From the official documentation: “BigQuery utilizes Cloud Logging for some of your log data.”
• Application Default Credentials works with BigQuery From the official documentation: “Create a BigQuery client using application default credentials.”
• VPC Service Controls secures BigQuery From the official documentation: “BigQuery data is protected with VPC Service Controls”
• BigQuery depends on Application Default Credentials From the official documentation: “To authenticate to BigQuery, set up Application Default Credentials.”
• BigQuery is an alternative to Google Cloud Storage From the official documentation: “The training data can be either a CSV file in Cloud Storage or a table in BigQuery.”
• BigQuery works with Gemini Enterprise Agent Platform From the official documentation: “The BigQuery dataset stores all versions for the associated Gemini Enterprise Agent Platform dataset.”
• 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.”
• VPC Service Controls secures Gemini Enterprise Agent Platform From the official documentation: “[VPC Service Controls](/vpc-service-controls/docs/overview) can help you mitigate the risk of data exfiltration from Gemini Enterprise Agent Platform.”
• Application Default Credentials configures BigQuery From the official documentation: “To authenticate to BigQuery, set up Application Default Credentials.”
• Application Default Credentials works with Gemini Enterprise Agent Platform From the official documentation: “To authenticate to Agent Platform, set up Application Default Credentials.”
• Application Default Credentials works with Google Cloud Storage From the official documentation: “To authenticate to Cloud Storage, set up Application Default Credentials.”
• BigQuery works with Google Cloud Storage From the official documentation: “Load Cloud Storage data into BigQuery”
• Cloud Logging works with Gemini Enterprise Agent Platform From the official documentation: “When you run a training job, Gemini Enterprise Agent Platform training saves logs to [Logging](/logging/docs).”
• Customer-Managed Encryption Keys secures Gemini Enterprise Agent Platform From the official documentation: “Enable customer-managed encryption keys (CMEK) for the Gemini Enterprise Agent Platform to gain more control over data encryption and key management.”
• Application Default Credentials secures Gemini Enterprise Agent Platform From the official documentation: “To authenticate to Agent Platform, set up Application Default Credentials.”
• Application Default Credentials works with Identity and Access Management From the official documentation: “To authenticate to IAM, set up Application Default Credentials.”
• BigQuery depends on Cloud Logging From the official documentation: “BigQuery utilizes Cloud Logging for some of your log data.”
• BigQuery works with Identity and Access Management From the official documentation: “BigQuery uses Identity and Access Management (IAM) for authorization.”
• Cloud Logging depends on Application Default Credentials From the official documentation: “To authenticate to Logging, set up Application Default Credentials.”
• 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 Logging works with Google Cloud Storage From the official documentation: “Cloud Logging can [route logs](/logging/docs/export/configure_export_v2) to Cloud Storage by Google SecOps on a scheduled basis.”
• Cloud Logging is an alternative to Google Cloud Storage From the official documentation: “When you specify your own service account for builds, you must store your build logs in a Cloud Logging bucket, in a user-created Cloud Storage bucket, or in a Google Cloud-created and user-owned Cloud Storage bucket.”
• Google Cloud Storage depends on Application Default Credentials From the official documentation: “To authenticate to Cloud Storage, set up Application Default Credentials.”
• Identity and Access Management works with VPC Service Controls From the official documentation: “VPC Service Controls perimeters and Identity and Access Management (IAM) roles work together.”
• Application Default Credentials works with Cloud Logging From the official documentation: “To authenticate to Logging, set up Application Default Credentials.”
• BigQuery works with VPC Service Controls From the official documentation: “BigQuery integrates with VPC Service Controls to restrict access to your BigQuery resources from specific networks.”
• Cloud Logging depends on 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 Logging works with VPC Service Controls From the official documentation: “This page describes how you can find VPC Service Controls errors using Cloud Logging.”
• Customer-Managed Encryption Keys is part of BigQuery From the official documentation: “If you require more control over encryption keys, BigQuery supports [customer-managed encryption keys](/bigquery/docs/customer-managed-encryption) in the [Cloud Key Management Service](/kms/docs).”
• Customer-Managed Encryption Keys configures Cloud Logging 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.”
• Customer-Managed Encryption Keys secures Cloud Logging 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.”
• Customer-Managed Encryption Keys secures Google Cloud Storage From the official documentation: “In IL5, CMEK is enabled by default for Compute Engine, Google Kubernetes Engine (GKE), Cloud Storage, and Cloud SQL.”
• Gemini Enterprise Agent Platform configures Application Default Credentials From the official documentation: “Agent Platform automatically configures ADC to authenticate as either the [Gemini Enterprise Agent Platform Custom Code Service Agent](/gemini-enterprise-agent-platform/machine-learning/general/access-control#service-agents) for your project (by default) or a [custom service…”
• Gemini Enterprise Agent Platform depends on Identity and Access Management From the official documentation: “Agent Platform uses IAM to manage access to resources.”
• Gemini Enterprise Agent Platform works with Identity and Access Management From the official documentation: “Learn more about [Gemini Enterprise Agent Platform access control with IAM](/gemini-enterprise-agent-platform/machine-learning/general/access-control).”
• Identity and Access Management depends on Application Default Credentials From the official documentation: “To authenticate to IAM, set up Application Default Credentials.”
• Identity and Access Management secures BigQuery From the official documentation: “Security in BigQuery is intrinsically linked to [Identity and Access Management (IAM)](/iam/docs/overview) in Google Cloud.”
• Identity and Access Management secures Gemini Enterprise Agent Platform From the official documentation: “Agent Platform uses Identity and Access Management (IAM) for authorization.”
• Identity and Access Management configures Google Cloud Storage From the official documentation: “Grant permission for the service account to list and view files in the bucket: ```bash gcloud storage buckets add-iam-policy-binding gs://${PROJECT_ID}-bucket/ \ --member=serviceAccount:sa-test-app-team-x@${PROJECT_ID}.iam.gserviceaccount.com \ --role=roles/storage.objectViewer…”
• Identity and Access Management secures Google Cloud Storage From the official documentation: “These modifications to that file define a second backup repository in a Cloud Storage bucket, accessed through Identity and Access Management (IAM).”
• VPC Service Controls secures Google Cloud Storage From the official documentation: “Storage Transfer Service supports on-premises transfers to Cloud Storage buckets protected by VPC Service Controls, under the following conditions:”