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

Section	Objectives
Migrating data solutions	- Plan and execute migrations 1. Use Database Migration Service 2. Migrate on-premises databases to Google Cloud 3. Validate migrated workloads
Optimizing database performance	- Improve database efficiency 1. Optimize storage and compute resources 2. Troubleshoot performance bottlenecks 3. Tune queries and indexes
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
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
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 (Q171-Q176):

NEW QUESTION # 171
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-east-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-west1-b.
Create a read replica in us-east1-c.
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-east1-b.
Create a read replica in us-central1-b.

Answer: C

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

NEW QUESTION # 172
You are writing an application that will run on Cloud Run and require a database running in the Cloud SQL managed service. You want to secure this instance so that it only receives connections from applications running in your VPC environment in Google Cloud. What should you do?

A. 1. Create your instance with a specified internal (private) IP address.
2. Choose the VPC with private service connection configured.
3. Configure the Serverless VPC Access connector in the same VPC network as your Cloud SQL instance.
4. Connect to the instance using a connection pool to best manage connections to the instance.
B. 1. Create your instance with a specified external (public) IP address.
2. Choose the VPC and create firewall rules to allow only connections from Cloud Run into your instance.
3. Connect to the instance using a connection pool to best manage connections to the instance.
C. 1. Create your instance with a specified external (public) IP address.
2. Choose the VPC and create firewall rules to allow only connections from Cloud Run into your instance.
3. Use Cloud SQL Auth proxy to connect to the instance.
D. 1. Create your instance with a specified internal (private) IP address.
2. Choose the VPC with private service connection configured.
3. Configure the Serverless VPC Access connector in the same VPC network as your Cloud SQL instance.
4. Use Cloud SQL Auth proxy to connect to the instance.

Answer: A

Explanation:
https://cloud.google.com/sql/docs/mysql/connect-run#configure https://cloud.google.com/sql/docs/mysql/connect-run#connection-pools

NEW QUESTION # 173
You are running a large, highly transactional application on Oracle Real Application Cluster (RAC) that is multi-tenant and uses shared storage. You need a solution that ensures high- performance throughput and a low-latency connection between applications and databases. The solution must also support existing Oracle features and provide ease of migration to Google Cloud. What should you do?

A. Migrate to Google Kubernetes Engine (GKE)
B. Migrate to Compute Engine.
C. Migrate to Bare Metal Solution for Oracle.
D. Migrate to Google Cloud VMware Engine

Answer: C

NEW QUESTION # 174
You are a DBA of Cloud SQL for PostgreSQL. You want the applications to have password-less authentication for read and write access to the database. Which authentication mechanism should you use?

A. Use Managed Active Directory authentication.
B. Use Cloud SQL federated queries.
C. Use PostgreSQL database's built-in authentication.
D. Use Identity and Access Management (IAM) authentication.

Answer: D

Explanation:
https://cloud.google.com/sql/docs/postgres/authentication

NEW QUESTION # 175
You work at a retail company using Cloud SQL for MySQL to store transactional data. You need to combine the transactional data with customer behavior information from BigQuery to make real-time sales predictions using machine learning. You want to accomplish this without incurring the overhead costs of moving the data out of their respective data stores.
What should you do?

A. Extract data from BigQuery into Cloud SQL, and use Vertex AI to generate predictions.
B. Use Datastream to build ETL/ELT pipelines to move data from Cloud SQL to BigQuery. Use BigQuery ML for predictions.
C. Use BigQuery ML for predictions, and combine federated queries to Cloud SQL.
D. Refactor the application to simultaneously write data to both MySQL and BigQuery. Use BigQuery to generate predictions.

Answer: C

Explanation:
Using BigQuery ML lets you train and run predictions where the customer behavior data already resides, and federated queries to Cloud SQL allow you to join transactional MySQL data with BigQuery data at query time without building ETL pipelines or duplicating data, minimizing overhead and data movement.

NEW QUESTION # 176
......

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