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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.

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To prepare for the exam, candidates can take advantage of various resources provided by Google Cloud, such as online courses, documentation, and practice exams. They can also attend instructor-led training or join study groups to learn from other professionals.

Google Professional-Cloud-Database-Engineer is a certification exam developed by Google Cloud to validate the skills and knowledge of professionals in the field of cloud database engineering. Google Cloud Certified - Professional Cloud Database Engineer certification exam is designed to test the ability of professionals to design, develop, and manage highly scalable, secure, and available databases on the Google Cloud Platform.

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q190-Q195):

NEW QUESTION # 190
You want to migrate an on-premises 100 TB Microsoft SQL Server database to Google Cloud over a 1 Gbps network link. You have 48 hours allowed downtime to migrate this database. What should you do? (Choose two.)

A. Keep the network bandwidth at 1 Gbps, and then perform an offline data migration.
B. Move the physical database servers from on-premises to Google Cloud.
C. Increase the network bandwidth to 10 Gbps, and then perform an offline data migration.
D. Use a change data capture (CDC) migration strategy.
E. Increase the network bandwidth to 2 Gbps, and then perform an offline data migration.

Answer: C,D

NEW QUESTION # 191
Your project is using Bigtable to store data that should not be accessed from the public internet under any circumstances, even if the requestor has a valid service account key. You need to secure access to this dat a. What should you do?

A. Use customer-managed encryption keys (CMEK).
B. Use Google Cloud Armor to add IP addresses to an allowlist.
C. Use VPC Service Controls to create a trusted network for the Bigtable service.
D. Use Identity and Access Management (IAM) for Bigtable access control.

Answer: C

NEW QUESTION # 192
Your team uses thousands of connected IoT devices to collect device maintenance data for your oil and gas customers in real time. You want to design inspection routines, device repair, and replacement schedules based on insights gathered from the data produced by these devices. You need a managed solution that is highly scalable, supports a multi-cloud strategy, and offers low latency for these IoT devices. What should you do?

A. Use Firestore with Looker.
B. Use MongoD8 Atlas with Charts.
C. Use Bigtable with Looker.
D. Use Cloud Spanner with Data Studio.

Answer: B

Explanation:
This scenario has BigTable written all over it - large amounts of data from many devices to be analysed in realtime. I would even argue it could qualify as a multicloud solution, given the links to HBASE. BUT it does not support SQL queries and is not therefore compatible (on its own) with Looker. Firestore + Looker has the same problem. Spanner + Data Studio is at least a compatible pairing, but I agree with others that it doesn't fit this use-case - not least because it's Google-native. By contrast, MongoDB Atlas is a managed solution (just not by Google) which is compatible with the proposed reporting tool (Mongo's own Charts), it's specifically designed for this type of solution and of course it can run on any cloud.

NEW QUESTION # 193
You want to migrate your on-premises PostgreSQL database to Compute Engine. You need to migrate this database with the minimum downtime possible. What should you do?

A. Use Database Migration Service to migrate your database.
B. Perform a full backup of your on-premises PostgreSQL, and then, in the migration window, perform an incremental backup.
C. Create a read replica on Cloud SQL, and then promote it to a read/write standalone instance.
D. Create a hot standby on Compute Engine, and use PgBouncer to switch over the connections.

Answer: D

Explanation:
PgBouncer maintains a pool for connections for each database and user combination. PgBouncer either creates a new database connection for a client or reuses an existing connection for the same user and database. + PgBouncer is a simple PostgreSQL connection pool that allows for several thousand connections at a time. Using Kubernetes Engine to run a Helm Chart w/ PgBouncer based on the great article from futuretech-industries, we were able to set up an easily deployable system to get the most out of our CloudSQL DBs without breaking the bank. https://medium.com/google-cloud/increasing-cloud-sql-postgresql-max-connections-w-pgbouncer-kubernetes-engine-49b0b2894820#:~:text=That%20is%20where,breaking%20the%20bank.

NEW QUESTION # 194
You are choosing a new database backend for an existing application. The current database is running PostgreSQL on an on-premises VM and is managed by a database administrator and operations team. The application data is relational and has light traffic. You want to minimize costs and the migration effort for this application. What should you do?

A. Migrate the existing database to Firestore.
B. Migrate the existing database to Cloud SQL for PostgreSQL.
C. Migrate the existing database to Cloud Spanner.
D. Migrate the existing database to PostgreSQL running on Compute Engine.

Answer: B

NEW QUESTION # 195
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