Professional-Cloud-Database-Engineer Test Cram Pdf | Reliable Professional-Cloud-Database-Engineer Test Pass4sure

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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.

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Google Professional-Cloud-Database-Engineer Exam is a professional certification that assesses an individual's knowledge and expertise in designing, developing, and managing Google Cloud Platform database solutions. Google Cloud Certified - Professional Cloud Database Engineer certification is intended for individuals with experience in database development and management who wish to validate their skills in the latest Google Cloud Platform database technologies.

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

NEW QUESTION # 78
Your company is evaluating Google Cloud database options for a mission-critical global payments gateway application. The application must be available 24/7 to users worldwide, horizontally scalable, and support open source databases. You need to select an automatically shardable, fully managed database with 99.999% availability and strong transactional consistency. What should you do?

A. Select Bare Metal Solution for Oracle.
B. Select Cloud Spanner.
C. Select Cloud SQL.
D. Select Bigtable.

Answer: B

NEW QUESTION # 79
Your company is developing a new global transactional application that must be ACID-compliant and have 99.999% availability. You are responsible for selecting the appropriate Google Cloud database to serve as a datastore for this new application. What should you do?

A. Use Cloud SQL.
B. Use Cloud Spanner.
C. Use Bigtable.
D. Use Firestore.

Answer: B

NEW QUESTION # 80
You are implementing fine grained access (FGA) control on your Cloud SQL resources. You want to follow the principle of least privilege while maintaining centralized control for administrators.
What should you do?

A. Create tags at the organization level.
B. Create labels at the project level.
C. Create tags at the project level.
D. Create labels at the organization level.

Answer: A

Explanation:
Creating tags at the organization level enables centralized administrative control and fine-grained IAM policy enforcement across all projects, supporting fine-grained access (FGA) while following the principle of least privilege by allowing precise, hierarchical permission scoping.

NEW QUESTION # 81
Your organization has a busy transactional Cloud SQL for MySQL instance. Your analytics team needs access to the data so they can build monthly sales reports. You need to provide data access to the analytics team without adversely affecting performance. What should you do?

A. Provide the database IP address, username, and password of the primary database instance to the analytics, team, and grant read access to required tables to the team.
B. Create a read replica of the database, provide the database IP address, username, and password to the analytics team, and grant read access to required tables to the team.
C. Create a read replica of the database, enable the cloudsql.iam_authentication flag on the replica, and grant read access to required tables to the analytics team.
D. Enable the cloudsql.iam_authentication flag on the primary database instance, and grant read access to required tables to the analytics team.

Answer: C

NEW QUESTION # 82
You are migrating your 2 TB on-premises PostgreSQL cluster to Compute Engine. You want to set up your new environment in an Ubuntu virtual machine instance in Google Cloud and seed the data to a new instance. You need to plan your database migration to ensure minimum downtime. What should you do?

A. 1. Take a full export while the database is offline.
2. Create a bucket in Cloud Storage.
3. Transfer the dump file to the bucket you just created.
4. Import the dump file into the Google Cloud primary server.
B. 1. Take a full export while the database is offline.
2. Create a bucket in Cloud Storage.
3. Transfer the dump file to the bucket you just created.
4. Restore the backup into the Google Cloud primary server.
C. 1. Take a full export while the database is online.
2. Create a bucket in Cloud Storage.
3. Transfer the dump file and write-ahead logs to the bucket you just created.
4. Restore the dump file into the Google Cloud primary server.
5. Create a recovery.conf file in the $PG_DATA directory.
6. Stop the source database.
7. Transfer the write-ahead logs to the bucket you created before.
8. Start the PostgreSQL service.
9. Wait until the Google Cloud primary server syncs with the running primary server.
D. 1. Take a full backup while the database is online.
2. Create a bucket in Cloud Storage.
3. Transfer the backup to the bucket you just created.
4. Restore the backup into the Google Cloud primary server.
5. Create a recovery.conf file in the $PG_DATA directory.
6. Stop the source database.
7. Transfer the write ahead logs to the bucket you created before.
8. Start the PostgreSQL service.
9. Wait until Google Cloud primary server syncs with the running primary server.

Answer: D

Explanation:
https://cloud.google.com/architecture/migrating-postgresql-to-gcp

NEW QUESTION # 83
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