Professional-Cloud-Database-Engineer考試證照綜述 - Professional-Cloud-Database-Engineer權威考題

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Google Professional-Cloud-Database-Engineer 考試大綱：

主題	簡介
主題 1	Distinguish between SQL and NoSQL business requirements Evaluate tradeoffs between multi-region, region, and zonal database deployment strategies
主題 2	Manage database users, including authentication and access Continuously assess and optimize the cost of running a database solution
主題 3	Evaluate performance and cost tradeoffs of different database configurations Plan database upgrades for Google Cloud-managed databases
主題 4	Design for recovery time objective (RTO) and recovery point objective (RPO) Assess slow running queries and database locking and identify missing indexes
主題 5	Plan and perform database migration, including fallback plans and schema conversion Test high availability and disaster recovery strategies periodically
主題 6	Automate database instance provisioning Determine how applications will connect to the database
主題 7	Reverse replication from Google Cloud to source Evaluate appropriate database solutions on Google Cloud

該考試涵蓋了一系列主題，包括數據庫管理，數據分析和數據管理。它還涵蓋了各種Google Cloud數據庫服務的使用，包括Cloud SQL，Cloud Spanner和Cloud Bigtable。考試的目的是確保持有此認證的個人對Google Cloud的數據庫服務有深刻的了解，並能夠在實際情況下有效地使用它們。

>> Professional-Cloud-Database-Engineer考試證照綜述 <<

Professional-Cloud-Database-Engineer權威考題，Professional-Cloud-Database-Engineer參考資料

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Google Professional-Cloud-Database-Engineer 證書考試旨在測試個人在雲端資料庫工程領域的知識和技能。此證書針對具備 Google Cloud 平台技術之雲端資料庫解決方案的設計、開發和管理經驗之專業人員。考試重點包括資料庫架構、資料模型、資料庫安全性和資料庫遷移等多個主題。

最新的 Google Cloud Certified Professional-Cloud-Database-Engineer 免費考試真題 (Q166-Q171):

問題 #166
Your company uses Bigtable for a user-facing application that displays a low-latency real-time dashboard. You need to recommend the optimal storage type for this read-intensive database. What should you do?

A. Recommend mixed storage types.
B. Recommend hard disk drives (HDD).
C. Recommend splitting the Bigtable instance into two instances in order to load balance the concurrent reads.
D. Recommend solid-state drives (SSD).

答案：D

解題說明：
if you plan to store extensive historical data for a large number of remote-sensing devices and then use the data to generate daily reports, the cost savings for HDD storage might justify the performance tradeoff. On the other hand, if you plan to use the data to display a real-time dashboard, it probably would not make sense to use HDD storage-reads would be much more frequent in this case, and reads that are not scans are much slower with HDD storage.

問題 #167
Your organization deploys a high-volume, low-latency sensor data ingestion system. Resilience is crucial, and the workload is expected to grow significantly over time. You need to design a database tier on Google Cloud to ensure faster performance and high availability, while following Google-recommended practices. What should you do-

A. Provision a multi-zone Bigtable cluster, configure replication, perform an application stress-test, and set up performance monitoring.
B. Deploy multiple Bigtable clusters, shard data manually across them, and set up the application logic for fault tolerance.
C. Deploy a single-zone Bigtable cluster and optimize the application code for maximum write throughput.
D. Deploy a single-region Bigtable instance and increase the nodes to maximize data durability.

答案：A

解題說明：
Provisioning a multi-zone Cloud Bigtable cluster gives you zonal failover for high availability and lets Bigtable's built-in replication optimize throughput and latency as ingest load grows.
Performing an application stress test validates cluster sizing under peak writes, and ongoing performance monitoring ensures you can scale nodes proactively - all matching Google's best practices.

問題 #168
You want to migrate your on-premises PostgreSQL database to Compute Engine. You need to migrate this database with the minimum downtime possible. What should you do?

A. Create a read replica on Cloud SQL, and then promote it to a read/write standalone instance.
B. Use Database Migration Service to migrate your database.
C. Perform a full backup of your on-premises PostgreSQL, and then, in the migration window, perform an incremental backup.
D. Create a hot standby on Compute Engine, and use PgBouncer to switch over the connections.

答案：D

解題說明：
PgBouncer maintains a pool for connections for each database and user combination. PgBouncer either creates a new database connection for a client or reuses an existing connection for the same user and database. + PgBouncer is a simple PostgreSQL connection pool that allows for several thousand connections at a time. Using Kubernetes Engine to run a Helm Chart w/ PgBouncer based on the great article from futuretech-industries, we were able to set up an easily deployable system to get the most out of our CloudSQL DBs without breaking the bank. https://medium.com/google-cloud/increasing-cloud-sql-postgresql-max-connections-w-pgbouncer-kubernetes-engine-49b0b2894820#:~:text=That%20is%20where,breaking%20the%20bank.

問題 #169
You are building a data warehouse on BigQuery. Sources of data include several MySQL databases located on-premises.
You need to transfer data from these databases into BigQuery for analytics. You want to use a managed solution that has low latency and is easy to set up. What should you do?

A. Use Cloud Data Fusion and scheduled workflows to extract data from MySQL. Transform this data into the appropriate schema, and load this data into your BigQuery database.
B. Create extracts from your on-premises databases periodically, and push these extracts to Cloud Storage. Upload the changes into BigQuery, and merge them with existing tables.
C. Use Datastream to connect to your on-premises database and create a stream. Have Datastream write to Cloud Storage. Then use Dataflow to process the data into BigQuery.
D. Use Database Migration Service to replicate data to a Cloud SQL for MySQL instance. Create federated tables in BigQuery on top of the replicated instances to transform and load the data into your BigQuery database.

答案：C

問題 #170
Your project is using Bigtable to store data that should not be accessed from the public internet under any circumstances, even if the requestor has a valid service account key. You need to secure access to this data.
What should you do?

A. Use customer-managed encryption keys (CMEK).
B. Use VPC Service Controls to create a trusted network for the Bigtable service.
C. Use Identity and Access Management (IAM) for Bigtable access control.
D. Use Google Cloud Armor to add IP addresses to an allowlist.

答案：B

解題說明：
"Users can define a security perimeter around Google Cloud resources such as Cloud Storage buckets, Bigtable instances, and BigQuery datasets to constrain data within a VPC and control the flow of data."
https://cloud.google.com/vpc-service-controls

問題 #171
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Professional-Cloud-Database-Engineer權威考題: https://www.vcesoft.com/Professional-Cloud-Database-Engineer-pdf.html

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