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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q88-Q93):

NEW QUESTION # 88
You are the primary DBA of a Cloud SQL for PostgreSQL database that supports 6 enterprise applications in production. You used Cloud SQL Insights to identify inefficient queries and now need to identify the application that is originating the inefficient queries. You want to follow Google-recommended practices. What should you do?

A. Use query tags to add application-centric database monitoring.
B. Write a utility to scan application logs.
C. Write a utility to scan database query logs.
D. Shut down and restart each application.

Answer: A

Explanation:
https://cloud.google.com/sql/docs/postgres/using-query-insights#filter_by_query_tags

NEW QUESTION # 89
You have a non-critical business application running on Google Kubernetes Engine (GKE) in the app-dev VPC. You have created an AllayDB cluster with private Service Access (PSA) and no public IP address in the db-dev VPC. You want your application to securely connect to AllowDB in a cost-effective way. What should you do?

A. Connect by using the private IP address of the AlloyDB cluster directly from the application.
B. Set up a high availability VPN between the app-dev and db-dev VPCs. Connect the application directly to AlloyDB.
C. Install a SOCKS proxy in a VM in the db-dev VPC. Install AlloyDB Auth Proxy in your GKE cluster, and connect to the AlloyDB cluster through the SOCKS server and port.
D. Connect by using AlloyDB Auth Proxy installed in the GKE cluster.

Answer: A

NEW QUESTION # 90
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 resize2fs command to extend the disk.
D. 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

Answer: B

NEW QUESTION # 91
Your organization has a production Cloud SQL for MySQL instance. Your instance is configured with 16 vCPUs and 104 GB of RAM that is running between 90% and 100% CPU utilization for most of the day. You need to scale up the database and add vCPUs with minimal interruption and effort. What should you do?

A. Issue a gcloud sql instances patch command to increase the number of vCPUs.
B. Update a MySQL database flag to increase the number of vCPUs.
C. Back up the database, create an instance with additional vCPUs, and restore the database.
D. Issue a gcloud compute instances update command to increase the number of vCPUs.

Answer: A

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

NEW QUESTION # 92
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 Cloud SQL for PostgreSQL read replicas to offload queries.
B. Configure Firestore, and modify your application to offload queries.
C. Configure Memorystore, and modify your application to offload queries.
D. Configure Bigtable, and modify your application to offload queries.

Answer: C

Explanation:
"sub-millisecond latency" always involves Memorystore. Furthermore, as we are talking about a relational DB (Cloud SQL), BigTable is not a solution to be considered.

NEW QUESTION # 93
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