Professional-Cloud-Database-Engineer PDF題庫 - Professional-Cloud-Database-Engineer題庫分享
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Google Professional-Cloud-Database-Engineer是一項認證考試,旨在為想要展示其在Google Cloud Platform上設計、構建和管理數據庫專業知識的專業人員提供服務。此考試適用於深入了解Google Cloud Platform上的數據庫管理、數據遷移、備份和恢復、安全等方面的個人。成功完成此考試將獲得Google Cloud認證-專業雲數據庫工程師認證。
考試包含多項選擇和多選題,共有50個問題需要在限制時間內兩個小時內完成。候選人必須達到70%或更高的分數才能通過考試。考試可以在Google Cloud測試中心網上或面對面進行。
成為Google Cloud Certified - Professional Cloud Database Engineer,候選人必須通過一個包含多選和多選題目的兩小時考試。考試涵蓋廣泛的主題,包括數據庫架構、數據建模、數據處理、數據安全、數據庫遷移和性能調整。候選人需要具有Google Cloud平台和數據庫技術的實踐經驗,以及對SQL和NoSQL數據庫的深入理解。該認證適合作為數據庫管理員、數據庫工程師或數據架構師的個人,並希望展示他們管理Google Cloud上的數據庫解決方案的能力。
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Professional-Cloud-Database-Engineer題庫分享 - 最新Professional-Cloud-Database-Engineer題庫資訊
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最新的 Google Cloud Certified Professional-Cloud-Database-Engineer 免費考試真題 (Q51-Q56):
問題 #51
You work in the logistics department. Your data analysis team needs daily extracts from Cloud SQL for MySQL to train a machine learning model. The model will be used to optimize next-day routes. You need to export the data in CSV format. You want to follow Google-recommended practices. What should you do?
答案:C
解題說明:
https://cloud.google.com/blog/topics/developers-practitioners/scheduling-cloud-sql-exports-using-cloud-functions-and-cloud-scheduler
問題 #52
You want to migrate your PostgreSQL database from another cloud provider to Cloud SQL. You plan on using Database Migration Service and need to assess the impact of any known limitations. What should you do? (Choose two.)
答案:C,D
問題 #53
You are starting a large CSV import into a Cloud SQL for MySQL instance that has many open connections.
You checked memory and CPU usage, and sufficient resources are available. You want to follow Google- recommended practices to ensure that the import will not time out. What should you do?
答案:B
解題說明:
https://cloud.google.com/sql/docs/mysql/import-export#troubleshooting
問題 #54
You want to migrate an existing on-premises application to Google Cloud. Your application supports semi- structured data ingested from 100,000 sensors, and each sensor sends 10 readings per second from manufacturing plants. You need to make this data available for real-time monitoring and analysis. What should you do?
答案:C
解題說明:
Bigtable is a scalable, fully managed, and high-performance NoSQL database service that can handle semi- structured data and support real-time monitoring and analysis. Cloud SQL is a relational database service that does not support semi-structured data. BigQuery is a data warehouse service that is optimized for batch processing and analytics, not real-time monitoring. Cloud Spanner is a relational database service that supports semi-structured data with JSON data type, but it is more expensive and complex than Bigtable for this use case.
問題 #55
Your organization operates in a highly regulated industry. Separation of concerns (SoC) and security principle of least privilege (PoLP) are critical. The operations team consists of:
Person A is a database administrator.
Person B is an analyst who generates metric reports.
Application C is responsible for automatic backups.
You need to assign roles to team members for Cloud Spanner. Which roles should you assign?
答案:A
問題 #56
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