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To prepare for the Google Professional-Cloud-Database-Engineer exam, candidates are advised to have hands-on experience with Google Cloud database services. They should also have a strong understanding of database concepts and principles, as well as experience with database management tools and techniques. Google Cloud offers several training courses and resources to help candidates prepare for the exam, including online courses, practice exams, and study guides.
Google Professional-Cloud-Database-Engineer certification is a valuable credential for database professionals who want to advance their careers and demonstrate their expertise in managing database solutions on Google Cloud Platform. Google Cloud Certified - Professional Cloud Database Engineer certification is recognized by employers and industry experts as a testament to the candidate's knowledge and skills in designing, building, and managing enterprise-grade database systems. With the growing demand for cloud-based database solutions, the Professional-Cloud-Database-Engineer Certification can open up new career opportunities and help professionals stay ahead of the curve.
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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q52-Q57):NEW QUESTION # 52
You are troubleshooting a connection issue with a newly deployed Cloud SQL instance on Google Cloud. While investigating the Cloud SQL Proxy logs, you see the message Error 403: Access Not Configured. What should you do?
- A. Ensure that you are using an external (public) IP address interface.
- B. Check the app.yaml value cloud_sql_instances for a misspelled or incorrect instance connection name.
- C. Check whether your service account has cloudsql.instances.connect permission.
- D. Enable the Cloud SQL Admin API.
Answer: D
Explanation:
https://cloud.google.com/sql/doc ... oxy#troubleshooting C because in docs it says "Make sure to enable the Cloud SQL Admin API. If it is not, you see output like Error 403: Access Not Configured in your Cloud SQL
NEW QUESTION # 53
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. Remove inactive user accounts.
- B. Build indexes on heavily accessed tables.
- C. Use Query Insights to identify idle instances.
- D. Run the Recommender API to identify overprovisioned instances.
Answer: D
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/doc ... ow%20to%20use%20it.
NEW QUESTION # 54
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 all read replicas in the same region as the primary instance with synchronous 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 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.
Answer: D
NEW QUESTION # 55
An analytics team needs to read data out of Cloud SQL for SQL Server and update a table in Cloud Spanner. You need to create a service account and grant least privilege access using predefined roles. What roles should you assign to the service account?
- A. roles/cloudsql.viewer and roles/spanner.databaseUser
- B. roles/cloudsql.client and roles/spanner.databaseReader
- C. roles/cloudsql.editor and roles/spanner.admin
- D. roles/cloudsql.instanceUser and roles/spanner.databaseUser
Answer: B
NEW QUESTION # 56
Your organization stores marketing data such as customer preferences and purchase history on Bigtable. The consumers of this database are predominantly data analysts and operations users. You receive a service ticket from the database operations department citing poor database performance between 9 AM-10 AM every day. The application team has confirmed no latency from their logs. A new cohort of pilot users that is testing a dataset loaded from a third-party data provider is experiencing poor database performance. Other users are not affected. You need to troubleshoot the issue. What should you do?
- A. Use Key Visualizer for Bigtable.
- B. Add more nodes to the Bigtable cluster.
- C. Isolate the data analysts and operations user groups to use different Bigtable instances.
- D. Check the Cloud Monitoring table/bytes_used metric from Bigtable.
Answer: A
Explanation:
https://cloud.google.com/bigtabl ... nce#troubleshooting
NEW QUESTION # 57
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