Google Professional-Cloud-Database-Engineer Vce Exam - Professional-Cloud-Database-Engineer Valid Vce

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Google Professional-Cloud-Database-Engineer certification is an excellent option for professionals who want to showcase their skills in designing, building, and managing databases on the Google Cloud Platform. Google Cloud Certified - Professional Cloud Database Engineer certification exam tests the candidate's knowledge of database design, database management, database migration, and database security on the Google Cloud Platform. Google Cloud Certified - Professional Cloud Database Engineer certification is recognized by employers and industry experts, and it provides access to a community of certified professionals and resources to help candidates stay current with the latest trends and developments in cloud database engineering.

The Google Professional-Cloud-Database-Engineer Exam Tests candidates' knowledge in various areas, including database design, data modeling, database security, and database migration. Candidates are also expected to have a deep understanding of the different Google Cloud database services, such as Cloud SQL, Cloud Spanner, and Cloud Bigtable. Professional-Cloud-Database-Engineer exam assesses candidates' ability to design and implement highly available, scalable, and secure database solutions using Google Cloud.

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Google Professional-Cloud-Database-Engineer certification exam is designed for professionals who specialize in database management on the Google Cloud Platform. Google Cloud Certified - Professional Cloud Database Engineer certification is ideal for individuals who have experience in designing, developing, and managing cloud-native database solutions. Professional-Cloud-Database-Engineer Exam aims to evaluate the candidate's proficiency in database concepts, cloud-native database services, data security, and data migration.

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q201-Q206):

NEW QUESTION # 201
Your organization is running a critical production database on a virtual machine (VM) on Compute Engine. The VM has an ext4-formatted persistent disk for data files. The database will soon run out of storage space. You need to implement a solution that avoids downtime. What should you do?

A. In the Google Cloud Console, create a snapshot of the persistent disk, restore the snapshot to a new larger disk, unmount the old disk, mount the new disk, and restart the database service.
B. In the Google Cloud Console, create a new persistent disk attached to the VM, and configure the database service to move the files to the new disk.
C. In the Google Cloud Console, increase the size of the persistent disk, and use the fdisk command to verify that the new space is ready to use
D. In the Google Cloud Console, increase the size of the persistent disk, and use the resize2fs command to extend the disk.

Answer: D

Explanation:
https://cloud.google.com/compute/docs/disks/resize-persistent-disk#resize_partitions

NEW QUESTION # 202
You are managing a Cloud SQL for PostgreSQL instance in Google Cloud. You need to test the high availability of your Cloud SQL instance by performing a failover. You want to use the cloud command. What should you do?

A. Use gcloud sql instances failover <PrimaryInstanceName>.
B. Use gcloud sql instances failover <ReplicaInstanceName>.
C. Use gcloud sql instances promote-replica <PrimaryInstanceName>.
D. Use gcloud sql instances promote-replica <ReplicaInstanceName>.

Answer: A

Explanation:
https://cloud.google.com/sdk/gcloud/reference/sql/instances/failover

NEW QUESTION # 203
Your organization has hundreds of Cloud SQL for MySQL instances. You want to follow Google-recommended practices to optimize platform costs. What should you do?

A. Build indexes on heavily accessed tables.
B. Run the Recommender API to identify overprovisioned instances.
C. Remove inactive user accounts.
D. Use Query Insights to identify idle instances.

Answer: B

Explanation:
The Cloud SQL overprovisioned instance recommender helps you detect instances that are unnecessarily large for a given workload. It then provides recommendations on how to resize such instances and reduce cost. This page describes how this recommender works and how to use it. https://cloud.google.com/sql/docs/mysql/recommender-sql-overprovisioned#:~:text=The%20Cloud%20SQL%20overprovisioned%20instance%20recommender%20helps%20you%20detect%20instances%20that%20are%20unnecessarily%20large%20for%20a%20given%20workload.%20It%20then%20provides%20recommendations%20on%20how%20to%20resize%20such%20instances%20and%20reduce%20cost.%20This%20page%20describes%20how%20this%20recommender%20works%20and%20how%20to%20use%20it.

NEW QUESTION # 204
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. Use Datastream to build ETL/ELT pipelines to move data from Cloud SQL to BigQuery. Use BigQuery ML for predictions.
B. Extract data from BigQuery into Cloud SQL, and use Vertex AI to generate 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 # 205
Your company's mission-critical, globally available application is supported by a Cloud Spanner database.
Experienced users of the application have read and write access to the database, but new users are assigned read-only access to the database. You need to assign the appropriate Cloud Spanner Identity and Access Management (IAM) role to new users being onboarded soon. What roles should you set up?

A. roles/spanner.databaseReader
B. roles/spanner.databaseUser
C. roles/spanner.viewer
D. roles/spanner.backupWriter

Answer: A

Explanation:
https://cloud.google.com/spanner/docs/iam?hl=it

NEW QUESTION # 206
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