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

Section	Objectives
Topic 1: Managing database solutions	- Deploy and administer databases 1. Implement monitoring and alerting 2. Manage maintenance and upgrades 3. Configure backups and recovery
Topic 2: Designing scalable and highly available cloud database solutions	- Select appropriate database services 1. Choose relational and non-relational databases 2. Plan scalability and availability strategies 3. Design globally distributed architectures
Topic 3: Optimizing database performance	- Improve database efficiency 1. Tune queries and indexes 2. Optimize storage and compute resources 3. Troubleshoot performance bottlenecks
Topic 4: Migrating data solutions	- Plan and execute migrations 1. Migrate on-premises databases to Google Cloud 2. Validate migrated workloads 3. Use Database Migration Service
Topic 5: Securing and ensuring compliance of database solutions	- Implement security best practices 1. Configure IAM and access controls 2. Enable encryption and auditing 3. Ensure compliance and governance

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Professional-Cloud-Database-Engineer Prüfungsguide: Google Cloud Certified - Professional Cloud Database Engineer & Professional-Cloud-Database-Engineer echter Test & Professional-Cloud-Database-Engineer sicherlich-zu-bestehen

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Google Cloud Certified - Professional Cloud Database Engineer Professional-Cloud-Database-Engineer Prüfungsfragen mit Lösungen (Q202-Q207):

202. Frage
Your company is migrating from an on-premises database to a single-region Spanner instance.
The current database supports 40,000 reads each second, and 7,000 writes each second, at 1- KB row sizes at peak. You need to determine the most cost-effective size for the Spanner instance to handle the equivalent current workload. What should you do-

A. Select a 4-node Spanner instance.
B. Recommend a multi-region Spanner instance.
C. Select a 1-node Spanner instance.
D. Select a 6-node Spanner instance.

Antwort: A

Begründung:
A single Spanner node (1-000-PU) in a regional SSD configuration can handle up to ~22-500 reads/sec and ~3-500 writes/sec for 1-KB rows. To support 40-000 reads/sec and 7-000 writes/sec, you need at least two nodes (2×22-500-=-45-000 reads; 2×3-500-=-7-000 writes). Of the provided options, a 4-node instance is the smallest choice that exceeds both the read and write requirements, making it the most cost-effective available SKU.

203. Frage
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?

A. Increase the number of CPUs for the instance to ensure that it can handle the additional import operation.
B. Increase the amount of memory allocated to your instance.
C. Close idle connections or restart the instance before beginning the import operation.
D. Ensure that the service account has the Storage Admin role.

Antwort: D

204. Frage
You are deploying a new Cloud SQL instance on Google Cloud using the Cloud SQL Auth proxy. You have identified snippets of application code that need to access the new Cloud SQL instance. The snippets reside and execute on an application server running on a Compute Engine machine. You want to follow Google- recommended practices to set up Identity and Access Management (IAM) as quickly and securely as possible.
What should you do?

A. For each application code, set up a dedicated user account.
B. For the application server, set up a service account.
C. For the application server, set up a common shared user account.
D. For each application code, set up a common shared user account.

Antwort: B

Begründung:
https://cloud.google.com/sql/docs/mysql/sql-proxy#using-a-service-account

205. Frage
Your customer is running a MySQL database on-premises with read replicas. The nightly incremental backups are expensive and add maintenance overhead. You want to follow Google-recommended practices to migrate the database to Google Cloud, and you need to ensure minimal downtime. What should you do?

A. Create an external replica, and use Cloud SQL to synchronize the data to the replica.
B. Create a Compute Engine VM, install MySQL on the VM, and then import the dump file.
C. Create a Google Kubernetes Engine (GKE) cluster, install MySQL on the cluster, and then import the dump file.
D. Use the mysqldump utility to take a backup of the existing on-premises database, and then import it into Cloud SQL.

Antwort: D

206. Frage
Your team is building an application that stores and analyzes streaming time series financial data.
You need a database solution that can perform time series-based scans with sub-second latency.
The solution must scale into the hundreds of terabytes and be able to write up to 10k records per second and read up to 200 MB per second. What should you do?

A. Use Bigtable
B. Use Firestore.
C. Use BigQuery.
D. Use Cloud Spanner.

Antwort: A

Begründung:
Financial data, such as transaction histories, stock prices, and currency exchange rates.
https://cloud.google.com/bigtable/docs/overview#what-its-good-for
With SSD:
Reads - up to 10,000 rows per second
Writes - up to 10,000 rows per second
Scans - up to 220 MB/s
https://cloud.google.com/bigtable/docs/performance#typical-workloads

207. Frage
......

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