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Earning the Google Professional-Cloud-Database-Engineer certification can help you advance your career in the field of cloud database management. Google Cloud Certified - Professional Cloud Database Engineer certification demonstrates that you have the skills and expertise required to design, develop, and maintain scalable and secure databases on the Google Cloud Platform. With this certification, you can enhance your job prospects and increase your earning potential. Additionally, you can gain recognition as a proficient database professional who can handle complex database management tasks on the cloud.

The Google Professional-Cloud-Database-Engineer Exam Tests the candidates' knowledge and skills in various areas related to database management, such as database design, data modeling, database administration, data security, and data analysis. It also covers topics related to Google Cloud Platform services, such as Cloud SQL, Cloud Spanner, Cloud Bigtable, and Cloud Datastore.

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The Google Professional-Cloud-Database-Engineer Exam covers a range of topics, including database administration, data analysis, and data management. It also covers the use of various Google Cloud database services, including Cloud SQL, Cloud Spanner, and Cloud Bigtable. The purpose of the exam is to ensure that individuals who hold this certification have a strong understanding of Google Cloud's database services and are able to use them effectively in real-world scenarios.

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q134-Q139):

NEW QUESTION # 134
During an internal audit, you realized that one of your Cloud SQL for MySQL instances does not have high availability (HA) enabled. You want to follow Google-recommended practices to enable HA on your existing instance. What should you do?

A. Create a new Cloud SQL for MySQL instance, enable HA, and use the export and import option to migrate your data.
B. Use the gcloud instances patch command to update your existing Cloud SQL for MySQL instance.
C. Shut down your existing Cloud SQL for MySQL instance, and enable HA.
D. Create a new Cloud SQL for MySQL instance, enable HA, and use Cloud Data Fusion to migrate your data.

Answer: B

Explanation:
Creating a new instance and migrating data can be time-consuming and disruptive to your application's availability. Shutting down the existing instance is not a recommended approach, as it will cause downtime for your application.
The recommended approach is to use the gcloud instances patch command to enable high availability on your existing Cloud SQL for MySQL instance. This command updates the instance's configuration to enable the failover replica, configure it, and enable automatic failover.
By following this approach, you can ensure minimal downtime, and your application can continue to operate during the process.

NEW QUESTION # 135
Your company is migrating a legacy on-premises Oracle database to Cloud SQL for PostgreSQL.
As a part of the migration, you need to convert schema and other database code objects, such as procedures, functions, and triggers, from Oracle to PostgreSQL. The database migration needs to be accomplished with minimal application code changes and manual intervention. What is the Google-recommended approach you should do-

A. Manually rewrite both the Oracle schema and queries to be compatible with PostgreSQL syntax and semantics.
B. Use a schema conversion tool to automatically convert the Oracle schema to PostgreSQL schema, then manually rewrite all queries.
C. Migrate the data directly from Oracle to PostgreSQL without any conversion. Rely on application- level compatibility layers to handle any syntax or semantic differences.
D. Use Database Migration Service code conversion workspace, then review and refactor as needed.

Answer: D

Explanation:
Use Database Migration Service's conversion workspace to auto-convert your Oracle schema and PL/SQL code into PostgreSQL DDL and PL/pgSQL. Then simply review and refactor any edge cases - this approach minimizes manual rewrites and keeps application changes to a minimum.

NEW QUESTION # 136
Your customer is running a MySQL database on-premises with read replicas. The nightly incremental backups are expensive and add maintenance overhead. You want to follow Google-recommended practices to migrate the database to Google Cloud, and you need to ensure minimal downtime. What should you do?

A. Create a Compute Engine VM, install MySQL on the VM, and then import the dump file.
B. Use the mysqldump utility to take a backup of the existing on-premises database, and then import it into Cloud SQL.
C. Create an external replica, and use Cloud SQL to synchronize the data to the replica.
D. Create a Google Kubernetes Engine (GKE) cluster, install MySQL on the cluster, and then import the dump file.

Answer: B

NEW QUESTION # 137
You need to migrate existing databases from Microsoft SQL Server 2016 Standard Edition on a single Windows Server 2019 Datacenter Edition to a single Cloud SQL for SQL Server instance. During the discovery phase of your project, you notice that your on-premises server peaks at around 25,000 read IOPS.
You need to ensure that your Cloud SQL instance is sized appropriately to maximize read performance. What should you do?

A. Create a SQL Server 2019 Standard on High Memory machine type with 16 vCPUs, 104 GB of RAM, and 4 TB of SSD.
B. Create a SQL Server 2019 Enterprise on High Memory machine type with 16 vCPUs, 104 GB of RAM, and 500 GB of SSD.
C. Create a SQL Server 2019 Standard on High Memory machine type with at least 16 vCPUs, 104 GB of RAM, and 200 GB of SSD.
D. Create a SQL Server 2019 Standard on Standard machine type with 4 vCPUs, 15 GB of RAM, and 800 GB of solid-state drive (SSD).

Answer: A

Explanation:
Given that Google SSD performance is related to the size of the disk in an order of 30 IOPS for each GB, ti would require at least 833 GB to handle 25000 IOPS, the only answer that exceeds this value is C.
https://cloud.google.com/compute/docs/disks/performance

NEW QUESTION # 138
You are developing a new application on a VM that is on your corporate network. The application will use Java Database Connectivity (JDBC) to connect to Cloud SQL for PostgreSQL. Your Cloud SQL instance is configured with IP address 192.168.3.48, and SSL is disabled. You want to ensure that your application can access your database instance without requiring configuration changes to your database. What should you do?

A. Define a connection string using Cloud SQL Auth proxy configured with a service account to point to the internal (private) IP address of your Cloud SQL instance.
B. Define a connection string using a database username and password to point to the internal (private) IP address of your Cloud SQL instance.
C. Define a connection string using Cloud SQL Auth proxy configured with a service account to point to the external (public) IP address of your Cloud SQL instance.
D. Define a connection string using your Google username and password to point to the external (public) IP address of your Cloud SQL instance.

Answer: A

Explanation:
The Cloud SQL connectors are libraries that provide encryption and IAM-based authorization when connecting to a Cloud SQL instance. They can't provide a network path to a Cloud SQL instance if one is not already present. Other ways to connect to a Cloud SQL instance include using a database client or the Cloud SQL Auth proxy. https://cloud.google.com/sql/docs/postgres/connect-connectors https://github.com/GoogleCloudPlatform/cloud-sql-jdbc-socket-factory/blob/main/docs/jdbc-postgres.md

NEW QUESTION # 139
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