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

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

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q118-Q123):

NEW QUESTION # 118
Your rapidly growing ecommerce company is migrating their analytics workloads to AlloyDB for PostgreSQL. You anticipate a significant increase in reporting queries as the business scales.
You need a read pool strategy to scale your analytics operations in anticipation of future growth while minimizing costs. What should you do-

A. Change the instance sizes of the read nodes in the read pool.
B. Begin with minimal read pools and iteratively expand or shrink them based on real-time load monitoring to optimize resource allocation.
C. Assign all reporting queries to a single, large read pool to maximize the combined compute resources available for analytics.
D. Direct all complex, long-running analytics queries to the primary instance, and only use read pools for short, frequent reports.

Answer: B

Explanation:
Start with a small read-pool footprint and then scale it up or down as your query volume and performance needs evolve.
* Cost-efficient: You only pay for the read nodes you actually need at any given time, avoiding over-provisioning.
* Elastic scaling: Monitor your query latency and throughput, then add or remove read nodes to match the workload profile (e.g. heavy sales events vs. normal traffic).
* Minimal ops overhead: AlloyDB makes it simple to resize your read pool via the console or gcloud, so you can automate based on Cloud Monitoring alerts.

NEW QUESTION # 119
You have an application that sends banking events to Bigtable cluster-a in us-east. You decide to add cluster-b in us-central1. Cluster-a replicates data to cluster-b. You need to ensure that Bigtable continues to accept read and write requests if one of the clusters becomes unavailable and that requests are routed automatically to the other cluster. What deployment strategy should you use?

A. Use the default app profile with multi-cluster routing.
B. Use the default app profile with single-cluster routing.
C. Create a custom app profile with multi-cluster routing.
D. Create a custom app profile with single-cluster routing.

Answer: C

Explanation:
https://cloud.google.com/bigtable/docs/app-profiles#default-app-profile

NEW QUESTION # 120
You are designing a database strategy for a new web application. You plan to start with a small pilot in one country and eventually expand to millions of users in a global audience. You need to ensure that the application can run 24/7 with minimal downtime for maintenance. What should you do?

A. Use Cloud SQL with cross-region replicas.
B. Use Cloud Spanner in a regional configuration.
C. Use highly available Cloud SQL with multiple zones.
D. Use Cloud Spanner in a multi-region configuration.

Answer: B

NEW QUESTION # 121
You have a Cloud SQL instance (DB-1) with two cross-region read replicas (DB-2 and DB-3). During a business continuity test, the primary instance (DB-1) was taken offline and a replica (DB-2) was promoted.
The test has concluded and you want to return to the pre-test configuration. What should you do?

A. Delete DB-2 so that DB-1 automatically reverts to the primary instance.
B. Delete DB-1, and re-create DB-1 as a read replica in the same region as DB-1.
C. Create DB-4 as a read replica in the same region as DB-1, and promote DB-4 to primary.
D. Bring DB-1 back online.

Answer: B

Explanation:
If you need to have the primary instance in the zone that had the outage, you can do a failback. A failback performs the same steps as the failover, only in the opposite direction, to reroute traffic back to the original instance. To perform a failback, use the procedure in Initiating failover.https://cloud.google.com/sql/docs
/mysql/high-availability#failback

NEW QUESTION # 122
You are developing a new application on a VM that is on your corporate network. The application will use Java Database Connectivity (JDBC) to connect to Cloud SQL for PostgreSQL. Your Cloud SQL instance is configured with IP address 192.168.3.48, and SSL is disabled. You want to ensure that your application can access your database instance without requiring configuration changes to your database. What should you do?

A. Define a connection string using your Google username and password to point to the external (public) IP address of your Cloud SQL instance.
B. Define a connection string using Cloud SQL Auth proxy configured with a service account to point to the internal (private) IP address of your Cloud SQL instance.
C. Define a connection string using a database username and password to point to the internal (private) IP address of your Cloud SQL instance.
D. Define a connection string using Cloud SQL Auth proxy configured with a service account to point to the external (public) IP address of your Cloud SQL instance.

Answer: B

Explanation:
The Cloud SQL connectors are libraries that provide encryption and IAM-based authorization when connecting to a Cloud SQL instance. They can't provide a network path to a Cloud SQL instance if one is not already present. Other ways to connect to a Cloud SQL instance include using a database client or the Cloud SQL Auth proxy. https://cloud.google.com/sql/docs/postgres/connect-connectors https://github.com/GoogleCloudPlatform/cloud-sql-jdbc-socket-factory/blob/main/docs/jdbc-postgres.md

NEW QUESTION # 123
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