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

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

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q100-Q105):

NEW QUESTION # 100
You are the DBA of an online tutoring application that runs on a Cloud SQL for PostgreSQL database. You are testing the implementation of the cross-regional failover configuration. The database in region R1 fails over successfully to region R2, and the database becomes available for the application to process dat a. During testing, certain scenarios of the application work as expected in region R2, but a few scenarios fail with database errors. The application-related database queries, when executed in isolation from Cloud SQL for PostgreSQL in region R2, work as expected. The application performs completely as expected when the database fails back to region R1. You need to identify the cause of the database errors in region R2. What should you do?

A. Determine whether the versions of Cloud SQL for PostgreSQL in regions R1 and R2 are different.
B. Determine whether the failover of Cloud SQL for PostgreSQL from region R1 to region R2 is in progress or has completed successfully.
C. Determine whether Cloud SQL for PostgreSQL in region R2 is a near-real-time copy of region R1 but not an exact copy.
D. Determine whether the database patches of Cloud SQI for PostgreSQL in regions R1 and R2 are different.

Answer: D

NEW QUESTION # 101
You are migrating a telehealth care company's on-premises data center to Google Cloud. The migration plan specifies:
PostgreSQL databases must be migrated to a multi-region backup configuration with cross-region replicas to allow restore and failover in multiple scenarios.
MySQL databases handle personally identifiable information (PII) and require data residency compliance at the regional level.
You want to set up the environment with minimal administrative effort. What should you do?

A. Set up different projects for PostgreSQL and MySQL databases, and apply organizational policy constraints at a project level.
B. Set up different organizations for each database type, and apply policy constraints at the organization level.
C. Set up Pub/Sub to ingest data from Cloud Logging, send an alert every time a new database instance is created, and manually validate the region.
D. Set up Cloud Logging and Cloud Monitoring with Cloud Functions to send an alert every time a new database instance is created, and manually validate the region.

Answer: B

NEW QUESTION # 102
Your organization stores marketing data such as customer preferences and purchase history on Bigtable. The consumers of this database are predominantly data analysts and operations users. You receive a service ticket from the database operations department citing poor database performance between 9 AM-10 AM every day.
Theapplication team has confirmed no latency from their logs. A new cohort of pilot users that is testing a dataset loaded from a third-party data provider is experiencing poor database performance. Other users are not affected. You need to troubleshoot the issue. What should you do?

A. Check the Cloud Monitoring table/bytes_used metric from Bigtable.
B. Add more nodes to the Bigtable cluster.
C. Isolate the data analysts and operations user groups to use different Bigtable instances.
D. Use Key Visualizer for Bigtable.

Answer: D

Explanation:
https://cloud.google.com/bigtable/docs/performance#troubleshooting

NEW QUESTION # 103
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. 1 Pause the on-premises applications.
2. Use the mysqldump utility to dump the database content in CSV format.
3. Run gsutil -m to move the dump file to Cloud Storage.
4. Use the Cloud SQL for MySQL import option.
5. After the import operation is complete, re-point the applications to the Cloud SQL for MySQL instance.
B. 1. Pause the on-premises applications.
2. Use the mysqldump utility to dump the database content in compressed format.
3. Run gsutil -m to move the dump file to Cloud Storage.
4. Use the Cloud SQL for MySQL import option.
5. After the import operation is complete, re-point the applications to the Cloud SQL for MySQL instance.
C. 1. Build a Cloud Data Fusion pipeline for each table to migrate data from the on-premises MySQL database to Cloud SQL for MySQL.
2. Schedule downtime to run each Cloud Data Fusion pipeline.
3. Verify that the migration was successful.
4. Re-point the applications to the Cloud SQL for MySQL instance.
D. 1. Use Database Migration Service to connect to your on-premises database, and choose continuous replication.
2. After the on-premises database is migrated, promote the Cloud SQL for MySQL instance, and connect applications to your Cloud SQL instance.

Answer: D

Explanation:
https://cloud.google.com/database-migration/docs/mysql/configure-source-database

NEW QUESTION # 104
You have a non-critical business application running on Google Kubernetes Engine (GKE) in the app-dev VPC. You have created an AlloyDB cluster with Private Service Access (PSA) and no public IP address in the db-dev VPC. You want your application to securely connect to AlloyDB in a cost-effective way. What should you do-

A. Connect by using the private IP address of the AlloyDB cluster directly from the application.
B. Set up a high availability VPN between the app-dev and db-dev VPCs. Connect the application directly to AlloyDB.
C. Install a SOCKS proxy in a VM in the db-dev VPC. Install AlloyDB Auth Proxy in your GKE cluster, and connect to the AlloyDB cluster through the SOCKS server and port.
D. Connect by using AlloyDB Auth Proxy installed in the GKE cluster.

Answer: B

Explanation:
Deploying the AlloyDB Auth Proxy inside your GKE cluster is the simplest, most cost-effective way to get your pods securely talking to a private-IP Only AlloyDB instance. The Auth Proxy handles TLS, IAM authentication, and retries for you - no VM, VPN, or SOCKS hop required.

NEW QUESTION # 105
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