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Google Professional-Cloud-Database-Engineer Certification Exam is designed for professionals who have experience in designing, developing, and managing databases on the Google Cloud Platform. Google Cloud Certified - Professional Cloud Database Engineer certification demonstrates the candidate's ability to design, develop, and manage highly scalable, available, and secure databases on the Google Cloud Platform. Professional-Cloud-Database-Engineer Exam covers a wide range of topics, including database design, data modeling, data migration, data synchronization, database security, database performance tuning, and disaster recovery.

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To prepare for the Google Professional-Cloud-Database-Engineer Certification Exam, candidates should have experience in designing and managing databases. They should also have a deep understanding of database concepts such as data modeling, normalization, indexing, and optimization. Candidates must also have experience in using Google Cloud Platform services such as Cloud SQL, Cloud Spanner, and Cloud Bigtable.

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q163-Q168):

NEW QUESTION # 163
You are configuring a brand new PostgreSQL database instance in Cloud SQL. Your application team wants to have an optimal and highly available environment with automatic failover to avoid any unplanned outage.
What should you do?

A. Create two read-write Cloud SQL instances in two different zones with a standby instance in another region.
B. Create one regional Cloud SQL instance in one zone with a standby instance in another zone in the same region.
C. Create two read-write Cloud SQL instances in two different regions with a standby instance in another zone.
D. Create one regional Cloud SQL instance with a read replica in another region.

Answer: B

Explanation:
This answer is correct because it meets the requirements of having an optimal and highly available environment with automatic failover. According to the Google Cloud documentation1, a regional Cloud SQL instance is an instance that has a primary server in one zone and a standby server in another zone within the same region. The primary and standby servers are kept in sync using synchronous replication, which ensures zero data loss and minimal downtime in case of a zonal outage or an instance failure. If the primary server becomes unavailable, Cloud SQL automatically fails over to the standby server, which becomes the new primary server1.

NEW QUESTION # 164
You need to redesign the architecture of an application that currently uses Cloud SQL for PostgreSQL. The users of the application complain about slow query response times. You want to enhance your application architecture to offer sub-millisecond query latency. What should you do?

A. Configure Bigtable, and modify your application to offload queries.
B. Configure Firestore, and modify your application to offload queries.
C. Configure Cloud SQL for PostgreSQL read replicas to offload queries.
D. Configure Memorystore, and modify your application to offload queries.

Answer: D

Explanation:
ttps://cloud.google.com/blog/topics/developers-practitioners/what-memorystore/

NEW QUESTION # 165
You are troubleshooting a connection issue with a newly deployed Cloud SQL instance on Google Cloud. While investigating the Cloud SQL Proxy logs, you see the message Error 403:
Access Not Configured. What should you do?

A. Check whether your service account has cloudsql.instances.connect permission.
B. Enable the Cloud SQL Admin API.
C. Check the app.yaml value cloud_sql_instances for a misspelled or incorrect instance connection name.
D. Ensure that you are using an external (public) IP address interface.

Answer: B

Explanation:
https://cloud.google.com/sql/docs/mysql/connect-auth-proxy#troubleshooting

NEW QUESTION # 166
How should you export approximately 40 million Firestore documents to BigQuery while ensuring fault tolerance, automatic scaling, and the option to apply transformations?

A. Firestore export to Cloud Storage and BigQuery load
B. Cloud Dataflow with Apache Beam
C. BigQuery Data Transfer Service

Answer: B

Explanation:
Dataflow provides a managed runner for Beam pipelines that automatically scales workers to handle very large backfills and it retries failed work units for strong fault tolerance. With Beam you can implement optional transforms to clean or reshape the Firestore documents and then write efficiently to BigQuery using native sinks. This approach is designed for high throughput batch processing and offers robust monitoring and checkpointing so it aligns directly with the scale and reliability needs of exporting tens of millions of records.

NEW QUESTION # 167
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. Use Cloud SQL Auth proxy to connect to the instance.
C. 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.
D. 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.

Answer: A

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

NEW QUESTION # 168
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