RELIABLE PROFESSIONAL-CLOUD-DATABASE-ENGINEER EXAM BOOTCAMP - EXAM PROFESSIONAL-CLOUD-DATABASE-ENGINEER DETAILS

Reliable Professional-Cloud-Database-Engineer Exam Bootcamp - Exam Professional-Cloud-Database-Engineer Details

Reliable Professional-Cloud-Database-Engineer Exam Bootcamp - Exam Professional-Cloud-Database-Engineer Details

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Google Professional-Cloud-Database-Engineer is a certification exam designed for professionals who want to showcase their expertise in designing, building, and managing databases on Google Cloud Platform. Professional-Cloud-Database-Engineer exam is intended for individuals who have a deep understanding of database management, data migration, backup and recovery, and security on Google Cloud Platform. Successful completion of Professional-Cloud-Database-Engineer Exam will earn candidates the Google Cloud Certified - Professional Cloud Database Engineer certification.

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By earning the Google Professional-Cloud-Database-Engineer certification, you may stop worrying about the bad things that might happen and instead concentrate on the advantages of making this decision and developing new skills that will increase your chances of landing your ideal job. You should start the preparations for the Google Professional-Cloud-Database-Engineer Certification Exam to improve your knowledge.

To prepare for the Professional-Cloud-Database-Engineer Certification Exam, candidates should have a solid understanding of database management principles and should be familiar with the Google Cloud Platform. Google offers a range of study materials and resources to help candidates prepare for the exam, including online courses, practice exams, and certification guides. Candidates can also benefit from hands-on experience with database administration on the Google Cloud Platform.

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q78-Q83):

NEW QUESTION # 78
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. Back up the database, create an instance with additional vCPUs, and restore the database.
  • B. Issue a gcloud compute instances update command to increase the number of vCPUs.
  • C. Issue a gcloud sql instances patch command to increase the number of vCPUs.
  • D. Update a MySQL database flag to increase the number of vCPUs.

Answer: C

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


NEW QUESTION # 79
You use Python scripts to generate weekly SQL reports to assess the state of your databases and determine whether you need to reorganize tables or run statistics. You want to automate this report but need to minimize operational costs and overhead. What should you do?

  • A. Create a Cloud Function, and call the Cloud Function using Cloud Scheduler.
  • B. Create a Cloud Composer instance, and create a directed acyclic graph (DAG).
  • C. Create a Cloud Function, and call the Cloud Function from a Cloud Tasks queue.
  • D. Create a VM in Compute Engine, and run a cron job.

Answer: A

Explanation:
Cloud Scheduler triggers actions at regular fixed intervals, whereas Cloud Tasks triggers actions based on how the individual task object is configured. Reference: https://cloud.google.com/tasks/docs/comp-tasks-sched


NEW QUESTION # 80
Your company uses Bigtable for a user-facing application that displays a low-latency real-time dashboard. You need to recommend the optimal storage type for this read-intensive database. What should you do?

  • A. Recommend hard disk drives (HDD).
  • B. Recommend splitting the Bigtable instance into two instances in order to load balance the concurrent reads.
  • C. Recommend mixed storage types.
  • D. Recommend solid-state drives (SSD).

Answer: D

Explanation:
if you plan to store extensive historical data for a large number of remote-sensing devices and then use the data to generate daily reports, the cost savings for HDD storage might justify the performance tradeoff. On the other hand, if you plan to use the data to display a real-time dashboard, it probably would not make sense to use HDD storage-reads would be much more frequent in this case, and reads that are not scans are much slower with HDD storage.


NEW QUESTION # 81
Your online delivery business that primarily serves retail customers uses Cloud SQL for MySQL for its inventory and scheduling application. The required recovery time objective (RTO) and recovery point objective (RPO) must be in minutes rather than hours as a part of your high availability and disaster recovery design. You need a high availability configuration that can recover without data loss during a zonal or a regional failure. What should you do?

  • A. Set up read replicas in different zones of the same region as the primary instance with synchronous replication, and set up read replicas in different regions with asynchronous replication.
  • B. Set up read replicas in different zones of the same region as the primary instance with asynchronous replication, and set up read replicas in different regions with synchronous replication.
  • C. Set up all read replicas in a different region using asynchronous replication.
  • D. Set up all read replicas in the same region as the primary instance with synchronous replication.

Answer: A

Explanation:
This answer meets the RTO and RPO requirements by using synchronous replication within the same region, which ensures that all writes made to the primary instance are replicated to disks in both zones before a transaction is reported as committed1. This minimizes data loss and downtime in case of a zonal or an instance failure, and allows for a quick failover to the standby instance1.
This answer also meets the high availability and disaster recovery requirements by using asynchronous replication across different regions, which ensures that the data changes made to the primary instance are replicated to the read replicas in other regions with minimal delay2. This provides additional redundancy and backup in case of a regional failure, and allows for a manual failover to the read replica in another region2.


NEW QUESTION # 82
You are deploying a new Cloud SQL instance on Google Cloud using the Cloud SQL Auth proxy. You have identified snippets of application code that need to access the new Cloud SQL instance. The snippets reside and execute on an application server running on a Compute Engine machine. You want to follow Google-recommended practices to set up Identity and Access Management (IAM) as quickly and securely as possible. What should you do?

  • A. For each application code, set up a common shared user account.
  • B. For each application code, set up a dedicated user account.
  • C. For the application server, set up a service account.
  • D. For the application server, set up a common shared user account.

Answer: B


NEW QUESTION # 83
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