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Google Professional-Cloud-Database-Engineer Exam Syllabus Topics:

Section	Objectives
Topic 1: Manage a database solution spanning multiple systems	- Operational database management 1. Backup and restore strategies 2. Capacity planning and scaling 3. Monitoring and performance tuning
Topic 2: Migrate data solutions to Google Cloud	- Database migration strategies 1. Lift-and-shift vs re-platforming 2. Online vs offline migration tools (e.g., Database Migration Service)
Topic 3: Ensure reliability, performance, and optimization	- Security and compliance 1. Encryption at rest and in transit 2. IAM roles and access control - Performance optimization 1. Indexing, query optimization, and caching strategies 2. Workload tuning across database services
Topic 4: Design scalable and highly available database solutions	- Select appropriate database services (relational, NoSQL, analytical) 1. Cloud SQL vs AlloyDB vs Spanner selection criteria 2. Firestore and document database patterns 3. Bigtable use cases and schema design - Design for high availability and disaster recovery 1. Replication strategies and failover design 2. Regional vs multi-regional architectures

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Professional-Cloud-Database-Engineerテスト対策書 & Professional-Cloud-Database-Engineer合格記

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Google Cloud Certified - Professional Cloud Database Engineer 認定 Professional-Cloud-Database-Engineer 試験問題 (Q111-Q116):

質問 # 111
Your company uses the Cloud SQL out-of-disk recommender to analyze the storage utilization trends of production databases over the last 30 days. Your database operations team uses these recommendations to proactively monitor storage utilization and implement corrective actions. You receive a recommendation that the instance is likely to run out of disk space. What should you do to address this storage alert?

A. Normalize the database to the third normal form.
B. Manually or automatically increase the storage capacity.
C. Create another schema to load older data.
D. Compress the data using a different compression algorithm.

正解：B

解説：
https://cloud.google.com/sql/docs/mysql/instance-settings#storage-capacity-2ndgen

質問 # 112
You work for a financial services company that wants to use fully managed database services. Traffic volume for your consumer services products has increased annually at a constant rate with occasional spikes around holidays. You frequently need to upgrade the capacity of your database. You want to use Cloud Spanner and include an automated method to increase your hardware capacity to support a higher level of concurrency. What should you do?

A. Upgrade the Cloud Spanner instance on a periodic basis during the scheduled maintenance window.
B. Set up alerts that are triggered when Cloud Spanner utilization metrics breach the threshold, and then schedule an upgrade during the scheduled maintenance window.
C. Use linear scaling to implement the Autoscaler-based architecture
D. Use direct scaling to implement the Autoscaler-based architecture.

正解：C

解説：
Linear scaling is best used with load patterns that change more gradually or have a few large peaks. The method calculates the minimum number of nodes or processing units required to keep utilization below the scaling threshold. The number of nodes or processing units added or removed in each scaling event is not limited to a fixed step amount. https://cloud.google.com/spanner/docs/autoscaling-overview#linear

質問 # 113
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 splitting the Bigtable instance into two instances in order to load balance the concurrent reads.
C. Recommend solid-state drives (SSD).
D. Recommend hard disk drives (HDD).

正解：C

解説：
https://cloud.google.com/bigtable/docs/choosing-ssd-hdd

質問 # 114
Your organization has an existing app that just went viral. The app uses a Cloud SQL for MySQL backend database that is experiencing slow disk performance while using hard disk drives (HDDs). You need to improve performance and reduce disk I/O wait times. What should you do?

A. Edit the instance to change the storage type from HDD to SSD.
B. Create a high availability (HA) failover instance with SSDs, and perform a failover to the new instance.
C. Create a read replica of the instance with SSDs, and perform a failover to the new instance
D. Export the data from the existing instance, and import the data into a new instance with solid- state drives (SSDs).

正解：D

質問 # 115
You need to migrate existing databases from Microsoft SQL Server 2016 Standard Edition on a single Windows Server 2019 Datacenter Edition to a single Cloud SQL for SQL Server instance. During the discovery phase of your project, you notice that your on-premises server peaks at around 25,000 read IOPS. You need to ensure that your Cloud SQL instance is sized appropriately to maximize read performance. What should you do?

A. Create a SQL Server 2019 Standard on Standard machine type with 4 vCPUs, 15 GB of RAM, and 800 GB of solid-state drive (SSD).
B. Create a SQL Server 2019 Standard on High Memory machine type with at least 16 vCPUs, 104 GB of RAM, and 200 GB of SSD.
C. Create a SQL Server 2019 Enterprise on High Memory machine type with 16 vCPUs, 104 GB of RAM, and 500 GB of SSD.
D. Create a SQL Server 2019 Standard on High Memory machine type with 16 vCPUs, 104 GB of RAM, and 4 TB of SSD.

正解：D

解説：
Given that Google SSD performance is related to the size of the disk in an order of 30 IOPS for each GB, ti would require at least 833 GB to handle 25000 IOPS, the only answer that exceeds this value is C. https://cloud.google.com/compute/docs/disks/performance

質問 # 116
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