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The Google Professional-Cloud-Database-Engineer Exam is intended for individuals who have experience working with GCP databases, and are familiar with database design principles, data modeling, and database security. Candidates are expected to have experience with SQL and programming languages such as Java, Python, and Go. Google Cloud Certified - Professional Cloud Database Engineer certification exam consists of multiple-choice questions and practical scenarios that test the candidate's ability to design, implement, and manage database solutions on GCP. Successful candidates will receive the Google Cloud Certified - Professional Cloud Database Engineer certification, which is recognized as a demonstration of expertise in the field of GCP database engineering.

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

Topic	Details
Topic 1	Provision high availability database solutions in Google Cloud Design scalable and highly available cloud database solutions
Topic 2	Reverse replication from Google Cloud to source Evaluate appropriate database solutions on Google Cloud
Topic 3	Apply concepts to implement highly scalable and available databases in Google Cloud Given a scenario, define maintenance windows and notifications based on application availability requirements
Topic 4	Deploy scalable and highly available databases in Google Cloud Determine database connectivity and access management considerations
Topic 5	Evaluate performance and cost tradeoffs of different database configurations Plan database upgrades for Google Cloud-managed databases
Topic 6	Differentiate between managed and unmanaged database services Analyze the cost of running database solutions in Google Cloud
Topic 7	Analyze relevant variables to perform database capacity and usage planning Design scalable, highly available, and secure databases
Topic 8	Design for recovery time objective (RTO) and recovery point objective (RPO) Assess slow running queries and database locking and identify missing indexes
Topic 9	Automate database instance provisioning Determine how applications will connect to the database
Topic 10	Determine the correct database migration tools for a given scenario Size database compute and storage based on performance requirements
Topic 11	Distinguish between SQL and NoSQL business requirements Evaluate tradeoffs between multi-region, region, and zonal database deployment strategies

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q88-Q93):

NEW QUESTION # 88
Your organization has a critical business app that is running with a Cloud SQL for MySQL backend database.
Your company wants to build the most fault-tolerant and highly available solution possible. You need to ensure that the application database can survive a zonal and regional failure with a primary region of us- central1 and the backup region of us-east1. What should you do?

A. Provision a Cloud SQL for MySQL instance in us-central1-a.
Create a multiple-zone instance in us-west1-b.
Create a read replica in us-east1-c.
B. Provision a Cloud SQL for MySQL instance in us-central1-a.
Create a multiple-zone instance in us-east1-b.
Create a read replica in us-central1-b.
C. Provision a Cloud SQL for MySQL instance in us-central1-a.
Create a multiple-zone instance in us-central1-b.
Create a read replica in us-east1-b.
D. Provision a Cloud SQL for MySQL instance in us-central1-a.
Create a multiple-zone instance in us-east-b.
Create a read replica in us-east1-c.

Answer: C

Explanation:
https://cloud.google.com/sql/docs/sqlserver/intro-to-cloud-sql-disaster-recovery

NEW QUESTION # 89
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. The application 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. Isolate the data analysts and operations user groups to use different Bigtable instances.
B. Check the Cloud Monitoring table/bytes_used metric from Bigtable.
C. Add more nodes to the Bigtable cluster.
D. Use Key Visualizer for Bigtable.

Answer: B

NEW QUESTION # 90
You are configuring a new application that has access to an existing Cloud Spanner database. The new application reads from this database to gather statistics for a dashboard. You want to follow Google-recommended practices when granting Identity and Access Management (IAM) permissions. What should you do?

A. Create a new service account, and grant it the Cloud Spanner Database Admin role.
B. Create a new service account, and grant it the spanner.databases.select permission.
C. Create a new service account, and grant it the Cloud Spanner Database Reader role.
D. Reuse the existing service account that populates this database.

Answer: C

Explanation:
https://cloud.google.com/iam/docs/overview

NEW QUESTION # 91
You are migrating an on-premises application to Google Cloud. The application requires a high availability (HA) PostgreSQL database to support business-critical functions. Your company's disaster recovery strategy requires a recovery time objective (RTO) and recovery point objective (RPO) within 30 minutes of failure. You plan to use a Google Cloud managed service. What should you do to maximize uptime for your application?

A. Deploy Cloud SQL for PostgreSQL in a regional configuration with HA enabled. Take periodic backups, and use this backup to restore to a new Cloud SQL for PostgreSQL instance in another region during a disaster recovery event.
B. Deploy Cloud SQL for PostgreSQL in a regional configuration. Create a read replica in a different zone in the same region and a read replica in another region for disaster recovery.
C. Migrate the PostgreSQL database to multi-regional Cloud Spanner so that a single region outage will not affect your application. Update the schema to support Cloud Spanner data types, and refactor the application.
D. Deploy Cloud SQL for PostgreSQL in a regional configuration with HA enabled. Create a cross-region read replica, and promote the read replica as the primary node for disaster recovery.

Answer: D

Explanation:
The best answer is deploy an HA configuration and have a read replica you could promote to the primary in a different region

NEW QUESTION # 92
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 Cloud Spanner.
B. Use BigQuery.
C. Use Firestore.
D. Use Bigtable

Answer: D

Explanation:
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

NEW QUESTION # 93
......

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New Professional-Cloud-Database-Engineer Exam Labs Exam 100% Pass | Professional-Cloud-Database-Engineer: Google Cloud Certified - Professional Cloud Database Engineer

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

2025 New Professional-Cloud-Database-Engineer Exam Labs | Reliable Google Valid Professional-Cloud-Database-Engineer Exam Papers: Google Cloud Certified - Professional Cloud Database Engineer

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q88-Q93):

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