Updated Sep-2025 Official licence for Professional-Cloud-Database-Engineer Certified by Professional-Cloud-Database-Engineer Dumps PDF
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The Google Professional-Cloud-Database-Engineer exam tests the candidates' knowledge and skills in various areas related to database management, such as database design, data modeling, database administration, data security, and data analysis. It also covers topics related to Google Cloud Platform services, such as Cloud SQL, Cloud Spanner, Cloud Bigtable, and Cloud Datastore.
Google Professional-Cloud-Database-Engineer exam is a certification exam designed to test the skills and knowledge of database engineers who work with Google Cloud Platform (GCP). Professional-Cloud-Database-Engineer exam is part of Google's Cloud Certified program, which offers certification for various roles in cloud computing.
Google Professional-Cloud-Database-Engineer exam is a certification test that assesses an individual's ability to design, deploy, and manage highly available, scalable, and reliable databases on the Google Cloud Platform. Google Cloud Certified - Professional Cloud Database Engineer certification is intended for database administrators, data architects, and database engineers who are responsible for designing and managing databases on the cloud. Candidates who pass the exam will earn the Google Cloud Certified - Professional Cloud Database Engineer certification.
NEW QUESTION # 51
Your team is building a new inventory management application that will require read and write database instances in multiple Google Cloud regions around the globe. Your database solution requires 99.99% availability and global transactional consistency. You need a fully managed backend relational database to store inventory changes. What should you do?
- A. Use Cloud Spanner.
- B. Use Firestore.
- C. Use Bigtable.
- D. Use Cloud SQL for MySQL
Answer: A
Explanation:
Spanner covers the SLA
NEW QUESTION # 52
You support a consumer inventory application that runs on a multi-region instance of Cloud Spanner. A customer opened a support ticket to complain about slow response times. You notice a Cloud Monitoring alert about high CPU utilization. You want to follow Google-recommended practices to address the CPU performance issue. What should you do first?
- A. Shard data required by the application into multiple instances.
- B. Decrease the number of processing units.
- C. Increase the number of processing units.
- D. Modify the database schema, and add additional indexes.
Answer: C
Explanation:
In case of high CPU utilization like, mentioned in question, refer: https://cloud.google.com/spanner/docs/identify-latency-point#:~:text=Check%20the%20CPU%20utilization%20of%20the%20instance.%20If%20the%20CPU%20utilization%20of%20the%20instance%20is%20above%20the%20recommended%20level%2C%20you%20should%20manually%20add%20more%20nodes%2C%20or%20set%20up%20auto%20scaling. "Check the CPU utilization of the instance. If the CPU utilization of the instance is above the recommended level, you should manually add more nodes, or set up auto scaling." Indexes and schema are reviewed post identifying query with slow performance. Refer : https://cloud.google.com/spanner/docs/troubleshooting-performance-regressions#review-schema
NEW QUESTION # 53
Your organization needs to migrate a critical, on-premises MySQL database to Cloud SQL for MySQL. The on-premises database is on a version of MySQL that is supported by Cloud SQL and uses the InnoDB storage engine. You need to migrate the database while preserving transactions and minimizing downtime. What should you do?
- A. Use Database Migration Service to connect to your on-premises database, and choose continuous replication.
After the on-premises database is migrated, promote the Cloud SQL for MySQL instance, and connect applications to your Cloud SQL instance. - B. Build a Cloud Data Fusion pipeline for each table to migrate data from the on-premises MySQL database to Cloud SQL for MySQL.
Schedule downtime to run each Cloud Data Fusion pipeline.
Verify that the migration was successful.
Re-point the applications to the Cloud SQL for MySQL instance. - C. Pause the on-premises applications.
Use the mysqldump utility to dump the database content in compressed format.
Run gsutil -m to move the dump file to Cloud Storage.
Use the Cloud SQL for MySQL import option.
After the import operation is complete, re-point the applications to the Cloud SQL for MySQL instance. - D. Pause the on-premises applications.
Use the mysqldump utility to dump the database content in CSV format.
Run gsutil -m to move the dump file to Cloud Storage.
Use the Cloud SQL for MySQL import option.
After the import operation is complete, re-point the applications to the Cloud SQL for MySQL instance.
Answer: A
Explanation:
https://cloud.google.com/database-migration/docs/mysql/configure-source-database To migrate the database while preserving transactions and minimizing downtime, you should use Database Migration Service. This service will allow you to migrate the database in a way that is transparent to your users and applications. It will also allow you to test the migration before you make it live, so that you can be sure that everything will work as expected.
NEW QUESTION # 54
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. Use direct scaling to implement the Autoscaler-based architecture.
- B. Use linear scaling to implement the Autoscaler-based architecture
- C. Upgrade the Cloud Spanner instance on a periodic basis during the scheduled maintenance window.
- D. Set up alerts that are triggered when Cloud Spanner utilization metrics breach the threshold, and then schedule an upgrade during the scheduled maintenance window.
Answer: B
Explanation:
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
NEW QUESTION # 55
Your company is developing a new global transactional application that must be ACID-compliant and have 99.999% availability. You are responsible for selecting the appropriate Google Cloud database to serve as a datastore for this new application. What should you do?
- A. Use Firestore.
- B. Use Cloud Spanner.
- C. Use Bigtable.
- D. Use Cloud SQL.
Answer: D
NEW QUESTION # 56
You are managing two different applications: Order Management and Sales Reporting. Both applications interact with the same Cloud SQL for MySQL database. The Order Management application reads and writes to the database 24/7, but the Sales Reporting application is read-only. Both applications need the latest data.
You need to ensure that the Performance of the Order Management application is not affected by the Sales Reporting application. What should you do?
- A. Create two separate databases in the instance, and perform dual writes from the Order Management application.
- B. Create a read replica for the Sales Reporting application.
- C. Use a Cloud SQL federated query for the Sales Reporting application.
- D. Queue up all the requested reports in PubSub, and execute the reports at night.
Answer: B
NEW QUESTION # 57
You are managing a set of Cloud SQL databases in Google Cloud. Regulations require that database backups reside in the region where the database is created. You want to minimize operational costs and administrative effort. What should you do?
- A. Use the default configuration for the automated backups location.
- B. Configure the automated backups to use a regional Cloud Storage bucket as a custom location.
- C. Disable automated backups, and create an on-demand backup routine to a regional Cloud Storage bucket.
- D. Disable automated backups, and configure serverless exports to a regional Cloud Storage bucket.
Answer: C
NEW QUESTION # 58
You need to migrate a 1 TB PostgreSQL database from a Compute Engine VM to Cloud SQL for PostgreSQL. You want to ensure that there is minimal downtime during the migration. What should you do?
- A. Export the data from the existing database, and load the data into a new Cloud SQL database.
- B. Use Datastream to complete the migration.
- C. Use Migrate for Compute Engine to complete the migration.
- D. Use Database Migration Service to complete the migration.
Answer: D
Explanation:
https://www.cloudskillsboost.google/focuses/22792?parent=catalog
NEW QUESTION # 59
Your team is building an application that stores and analyzes streaming time series financial dat a. 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 Firestore.
- B. Use BigQuery.
- C. Use Cloud Spanner.
- D. Use Bigtable
Answer: B
NEW QUESTION # 60
Your ecommerce website captures user clickstream data to analyze customer traffic patterns in real time and support personalization features on your website. You plan to analyze this data using big data tools. You need a low-latency solution that can store 8 TB of data and can scale to millions of read and write requests per second. What should you do?
- A. Use Memorystore to handle your low-latency requirements and for real-time analytics.
- B. Deploy a Cloud SQL environment with read replicas for improved performance. Use Datastream to export data to Cloud Storage and analyze with Dataproc and the Cloud Storage connector.
- C. Write your data into Bigtable and use Dataproc and the Apache Hbase libraries for analysis.
- D. Stream your data into BigQuery and use Dataproc and the BigQuery Storage API to analyze large volumes of data.
Answer: B
NEW QUESTION # 61
You are working on a new centralized inventory management system to track items available in 200 stores, which each have 500 GB of dat a. You are planning a gradual rollout of the system to a few stores each week. You need to design an SQL database architecture that minimizes costs and user disruption during each regional rollout and can scale up or down on nights and holidays. What should you do?
- A. Use a Biglable cluster with autoscaling.
- B. Use Oracle Real Application Cluster (RAC) databases on Bare Metal Solution for Oracle.
- C. Use Cloud Spanner with a custom autoscaling solution.
- D. Use sharded Cloud SQL instances with one or more stores per database instance.
Answer: C
Explanation:
https://cloud.google.com/spanner/docs/autoscaling-overview
1. CloudSQL max out at 64TB, so unable to told 100TB of data. https://cloud.google.com/sql/docs/quotas#metrics_collection_limit 2. Scale is done manually on SQL Cloud
NEW QUESTION # 62
Your organization is running a critical production database on a virtual machine (VM) on Compute Engine. The VM has an ext4-formatted persistent disk for data files. The database will soon run out of storage space. You need to implement a solution that avoids downtime. What should you do?
- A. In the Google Cloud Console, create a snapshot of the persistent disk, restore the snapshot to a new larger disk, unmount the old disk, mount the new disk, and restart the database service.
- B. In the Google Cloud Console, create a new persistent disk attached to the VM, and configure the database service to move the files to the new disk.
- C. In the Google Cloud Console, increase the size of the persistent disk, and use the fdisk command to verify that the new space is ready to use
- D. In the Google Cloud Console, increase the size of the persistent disk, and use the resize2fs command to extend the disk.
Answer: D
Explanation:
https://cloud.google.com/compute/docs/disks/resize-persistent-disk#resize_partitions
NEW QUESTION # 63
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 splitting the Bigtable instance into two instances in order to load balance the concurrent reads.
- B. Recommend solid-state drives (SSD).
- C. Recommend mixed storage types.
- D. Recommend hard disk drives (HDD).
Answer: B
Explanation:
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.
NEW QUESTION # 64
You are managing multiple applications connecting to a database on Cloud SQL for PostgreSQL. You need to be able to monitor database performance to easily identify applications with long-running and resource-intensive queries. What should you do?
- A. Use log messages produced by Cloud SQL.
- B. Use Query Insights for Cloud SQL.
- C. Use the Cloud Monitoring dashboard with available metrics from Cloud SQL.
- D. Use Cloud SQL instance monitoring in the Google Cloud Console.
Answer: C
NEW QUESTION # 65
You need to provision several hundred Cloud SQL for MySQL instances for multiple project teams over a one-week period. You must ensure that all instances adhere to company standards such as instance naming conventions, database flags, and tags. What should you do?
- A. Create clones from a template Cloud SQL instance.
- B. Create the instances using the Google Cloud Console UI.
- C. Automate instance creation by setting up Terraform scripts.
- D. Automate instance creation by writing a Dataflow job.
Answer: C
NEW QUESTION # 66
You need to perform a one-time migration of data from a running Cloud SQL for MySQL instance in the us-central1 region to a new Cloud SQL for MySQL instance in the us-east1 region. You want to follow Google-recommended practices to minimize performance impact on the currently running instance. What should you do?
- A. Create a SQL dump file in Cloud Storage using a temporary instance, and then use that file to import into a new instance.
- B. Create a CSV file by running the SQL statement SELECT...INTO OUTFILE, copy the file to a Cloud Storage bucket, and import it into a new instance.
- C. Create two Datastream connection profiles, and use them to create a stream from one Cloud SQL instance to another.
- D. Create and run a Dataflow job that uses JdbcIO to copy data from one Cloud SQL instance to another.
Answer: A
NEW QUESTION # 67
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 the application server, set up a common shared user account.
- B. For each application code, set up a common shared user account.
- C. For each application code, set up a dedicated user account.
- D. For the application server, set up a service account.
Answer: D
Explanation:
https://cloud.google.com/sql/docs/mysql/sql-proxy#using-a-service-account
NEW QUESTION # 68
Your hotel booking company is expanding into Country A, where personally identifiable information (PII) must comply with regional data residency requirements and audits. You need to isolate customer data in Country A from the rest of the customer dat a. You want to design a multi-tenancy strategy to efficiently manage costs and operations. What should you do?
- A. Apply an instance data management pattern.
- B. Apply a database data management pattern.
- C. Apply a schema data management pattern.
- D. Apply a table data management pattern.
Answer: A
Explanation:
https://cloud.google.com/solutions/implementing-multi-tenancy-cloud-spanner#multi-tenancy-data-management-patterns
https://cloud.google.com/solutions/implementing-multi-tenancy-cloud-spanner
NEW QUESTION # 69
You are building an Android game that needs to store data on a Google Cloud serverless database. The database will log user activity, store user preferences, and receive in-game updates. The target audience resides in developing countries that have intermittent internet connectivity. You need to ensure that the game can synchronize game data to the backend database whenever an internet network is available. What should you do?
- A. Use Cloud Spanner.
- B. Use Firestore.
- C. Use Cloud SQL with an external (public) IP address.
- D. Use an in-app embedded database.
Answer: B
Explanation:
https://firebase.google.com/docs/firestore
NEW QUESTION # 70
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