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

Section	Objectives
Migrating data solutions	- Plan and execute migrations 1. Validate migrated workloads 2. Migrate on-premises databases to Google Cloud 3. Use Database Migration Service
Managing database solutions	- Deploy and administer databases 1. Configure backups and recovery 2. Manage maintenance and upgrades 3. Implement monitoring and alerting
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
Securing and ensuring compliance of database solutions	- Implement security best practices 1. Ensure compliance and governance 2. Enable encryption and auditing 3. Configure IAM and access controls
Optimizing database performance	- Improve database efficiency 1. Optimize storage and compute resources 2. Tune queries and indexes 3. Troubleshoot performance bottlenecks

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q75-Q80):

NEW QUESTION # 75
Your company is developing a new global transactional application that must be ACID-compliant and have 99.999% availability. You are responsible for selecting the appropriate Google Cloud database to serve as a datastore for this new application. What should you do?

A. Use Firestore.
B. Use Cloud SQL.
C. Use Bigtable.
D. Use Cloud Spanner.

Answer: B

NEW QUESTION # 76
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 and standby instances in zone A and the read replica in zone B, all in the same region.
B. 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.
C. Configure the primary, standby, and read replica instances in zone A, all in the same region.
D. Configure the primary instance in one region, the standby instance in a second region, and the read replica in a third region.

Answer: B

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

NEW QUESTION # 77
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. 1. Provision a Cloud SQL for MySQL instance in us-central1-a.
2. Create a multiple-zone instance in us-central1-b.
3. Create a read replica in us-east1-b.
B. 1. Provision a Cloud SQL for MySQL instance in us-central1-a.
2. Create a multiple-zone instance in us-west1-b.
3. Create a read replica in us-east1-c.
C. 1. Provision a Cloud SQL for MySQL instance in us-central1-a.
2. Create a multiple-zone instance in us-east-b.
3. Create a read replica in us-east1-c.
D. 1. Provision a Cloud SQL for MySQL instance in us-central1-a.
2. Create a multiple-zone instance in us-east1-b.
3. Create a read replica in us-central1-b.

Answer: A

NEW QUESTION # 78
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. Check the Cloud Monitoring table/bytes_used metric from Bigtable.
B. Add more nodes to the Bigtable cluster.
C. Use Key Visualizer for Bigtable.
D. Isolate the data analysts and operations user groups to use different Bigtable instances.

Answer: C

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

NEW QUESTION # 79
You are managing multiple applications connecting to a database on Cloud SQL for PostgreSQL. You need to be able to monitor database performance to easily identify applications with long-running and resource-intensive queries. What should you do?

A. Use Cloud SQL instance monitoring in the Google Cloud Console.
B. Use Query Insights for Cloud SQL.
C. Use the Cloud Monitoring dashboard with available metrics from Cloud SQL.
D. Use log messages produced by Cloud SQL.

Answer: B

Explanation:
https://cloud.google.com/sql/docs/mysql/using-query-insights#introduction

NEW QUESTION # 80
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