Welcome back! In this video, I will show you to complete the Google Cloud challenge lab: Secure Lakehouse Data: Challenge Lab || ARC129 ||.
This challenge lab validates your ability to secure modern lakehouse environments on Google Cloud. You'll work with BigQuery, Dataplex, Identity and Access Management (IAM), data governance, metadata management, encryption, and security best practices to protect enterprise data assets.
๐ Skills Demonstrated
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BigQuery Security
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Dataplex
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Data Lakehouse
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Data Governance
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IAM Roles & Permissions
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Metadata Management
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Encryption
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Cloud Storage Security
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Google Cloud Security
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Challenge Lab Validation
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๐ Official Lab:
https://www.cloudskillsboost.google/
๐ Eventarc Documentation:
https://cloud.google.com/eventarc/docs
๐ Cloud Run Documentation:
https://cloud.google.com/run/docs
๐ Cloud Functions Documentation:
https://cloud.google.com/functions/docs
๐ Pub/Sub Documentation:
https://cloud.google.com/pubsub/docs
๐ Google Cloud Documentation:
https://cloud.google.com/docs
๐ Horizon - Commands & Notes:
๐ https://horizon.orbitofops.com/deploy-and-manage-apigee-x?ref=youtube
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โ ๏ธ CRITICAL WORKFLOW SAFETY NOTICE (AVOID ACCOUNT BANS) โ ๏ธ
Google Cloud uses automated systems to monitor lab activity. To help keep your account safe, follow these best practices carefully:
1๏ธโฃ NEVER RUN MULTIPLE SCRIPTS AT ONCE
โ Do NOT use wildcard commands such as:
./*.sh
If multiple scripts exist in your Cloud Shell directory, wildcard execution can launch all of them simultaneously. This may generate multiple API requests at the same time and can trigger Google's automated security systems.
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Always execute ONLY the script provided for the current lab using the exact command shown in this video.