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

Section	Objectives
Designing scalable and highly available cloud database solutions	- Select appropriate database services 1. Design globally distributed architectures 2. Plan scalability and availability strategies 3. Choose relational and non-relational databases
Managing database solutions	- Deploy and administer databases 1. Configure backups and recovery 2. Implement monitoring and alerting 3. Manage maintenance and upgrades
Migrating data solutions	- Plan and execute migrations 1. Validate migrated workloads 2. Migrate on-premises databases to Google Cloud 3. Use Database Migration Service
Optimizing database performance	- Improve database efficiency 1. Troubleshoot performance bottlenecks 2. Optimize storage and compute resources 3. Tune queries and indexes
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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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q142-Q147):

NEW QUESTION # 142
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 single-cluster routing.
B. Create a custom app profile with multi-cluster routing.
C. Create a custom app profile with single-cluster routing.
D. Use the default app profile with multi-cluster routing.

Answer: A

NEW QUESTION # 143
You are responsible for designing a new database for an airline ticketing application in Google Cloud. This application must be able to:
Work with transactions and offer strong consistency.
Work with structured and semi-structured (JSON) data.
Scale transparently to multiple regions globally as the operation grows.
You need a Google Cloud database that meets all the requirements of the application. What should you do?

A. Use Firestore in Datastore mode.
B. Use Cloud Spanner in a multi-region configuration.
C. Use a Bigtable instance with clusters in multiple regions.
D. Use Cloud SQL for PostgreSQL with both cross-region read replicas.

Answer: B

Explanation:
https://cloud.google.com/blog/products/databases/manage-semi-structured-data-in-cloud-spanner-with-json

NEW QUESTION # 144
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. Decrease the number of processing units.
B. Shard data required by the application into multiple instances.
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 # 145
You are configuring a brand new Cloud SQL for PostgreSQL database instance in Google Cloud. Your application team wants you to deploy one primary instance, one standby instance, and one read replica instance. You need to ensure that you are following Google-recommended practices for high availability.
What should you do?

A. Configure the primary, standby, and read replica instances in zone A, all in the same region.
B. Configure the primary instance in one region, the standby instance in a second region, and the read replica in a third region.
C. Configure the primary instance in zone A, the standby instance in zone C, and the read replica in zone B, all in the same region.
D. Configure the primary and standby instances in zone A and the read replica in zone B, all in the same region.

Answer: C

Explanation:
https://cloud.google.com/sql/docs/postgres/high-availability#failover-overview

NEW QUESTION # 146
You are running a mission-critical application on a Cloud SQL for PostgreSQL database with a multi-zonal setup. The primary and read replica instances are in the same region but in different zones. You need to ensure that you split the application load between both instances. What should you do?

A. Use HTTP(S) Load Balancing for database connection pooling between the Cloud SQL primary and read replica instances.
B. Use PgBouncer to set up database connection pooling between the Cloud SQL primary and read replica instances.
C. Use the Cloud SQL Auth proxy for database connection pooling between the Cloud SQL primary and read replica instances.
D. Use Cloud Load Balancing for load balancing between the Cloud SQL primary and read replica instances.

Answer: B

NEW QUESTION # 147
......

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