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Google Professional-Cloud-Database-Engineer Exam Overview:

Certification Vendor:	Google Cloud
Exam Name:	Professional Cloud Database Engineer
Exam Number:	Professional-Cloud-Database-Engineer
Certificate Validity Period:	2 years
Exam Format:	Multiple select, Multiple choice, Scenario-based questions
Available Languages:	English
Exam Price:	$200 USD (plus tax where applicable)
Related Certifications:	Google Cloud Certified - Associate Cloud Engineer Google Cloud Certified - Professional Cloud Data Engineer
Exam Duration:	120 minutes
Real Exam Qty:	50-60
Passing Score:	Not publicly disclosed (pass/fail scaled scoring)
Recommended Training:	Google Cloud Skills Boost - Database Engineer Learning Path Google Cloud Database documentation
Exam Registration:	Official Google Cloud Certification Portal Cloud Database Engineer Certification Page
Sample Questions:	Google Professional-Cloud-Database-Engineer Sample Questions
Exam Way:	Online proctored or onsite test center exam
Pre Condition:	No formal prerequisites required. Recommended: ~5 years database/IT experience including ~2 years Google Cloud database experience.
Official Syllabus URL:	https://cloud.google.com/learn/certification/cloud-database-engineer

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To earn the Google Professional-Cloud-Database-Engineer certification, candidates must pass a single exam that tests their knowledge and skills in designing, developing, and managing secure and scalable database solutions on the Google Cloud Platform. Professional-Cloud-Database-Engineer Exam consists of multiple-choice questions and is administered online.

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q103-Q108):

NEW QUESTION # 103
Your organization operates in a highly regulated industry. Separation of concerns (SoC) and security principle of least privilege (PoLP) are critical. The operations team consists of:
Person A is a database administrator.
Person B is an analyst who generates metric reports.
Application C is responsible for automatic backups.
You need to assign roles to team members for Cloud Spanner. Which roles should you assign?

A. roles/spanner.databaseAdmin for Person A
roles/spanner.databaseReader for Person B
roles/spanner.backupWriter for Application C
B. roles/spanner.databaseAdmin for Person A
roles/spanner.databaseUser for Person B
roles/spanner databaseReader for Application C
C. roles/spanner.databaseAdmin for Person A
roles/spanner.databaseUser for Person B
roles/spanner.backupWriter for Application C
D. roles/spanner.databaseAdmin for Person A
roles/spanner.databaseReader for Person B
roles/spanner.backupAdmin for Application C

Answer: A

Explanation:
https://cloud.google.com/spanner/docs/iam#spanner.backupWriter

NEW QUESTION # 104
Your team recently released a new version of a highly consumed application to accommodate additional user traffic. Shortly after the release, you received an alert from your production monitoring team that there is consistently high replication lag between your primary instance and the read replicas of your Cloud SQL for MySQL instances. You need to resolve the replication lag. What should you do?

A. Edit the primary instance to add additional memory.
B. Edit the primary instance to upgrade to a larger disk, and increase vCPU count.
C. Identify and optimize slow running queries, or set parallel replication flags.
D. Stop all running queries, and re-create the replicas.

Answer: B

NEW QUESTION # 105
Your ecommerce website captures user clickstream data to analyze customer traffic patterns in real time and support personalization features on your website. You plan to analyze this data using big data tools. You need a low-latency solution that can store 8 TB of data and can scale to millions of read and write requests per second. What should you do?

A. Deploy a Cloud SQL environment with read replicas for improved performance. Use Datastream to export data to Cloud Storage and analyze with Dataproc and the Cloud Storage connector.
B. Write your data into Bigtable and use Dataproc and the Apache Hbase libraries for analysis.
C. Stream your data into BigQuery and use Dataproc and the BigQuery Storage API to analyze large volumes of data.
D. Use Memorystore to handle your low-latency requirements and for real-time analytics.

Answer: B

NEW QUESTION # 106
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.
Theapplication 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. Check the Cloud Monitoring table/bytes_used metric from Bigtable.
C. Add more nodes to the Bigtable cluster.
D. Isolate the data analysts and operations user groups to use different Bigtable instances.

Answer: A

Explanation:
https://cloud.google.com/bigtable/docs/performance#troubleshooting

NEW QUESTION # 107
You are configuring a brand new PostgreSQL database instance in Cloud SQL. Your application team wants to have an optimal and highly available environment with automatic failover to avoid any unplanned outage. What should you do?

A. Create two read-write Cloud SQL instances in two different regions with a standby instance in another zone.
B. Create one regional Cloud SQL instance in one zone with a standby instance in another zone in the same region.
C. Create one regional Cloud SQL instance with a read replica in another region.
D. Create two read-write Cloud SQL instances in two different zones with a standby instance in another region.

Answer: B

NEW QUESTION # 108
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