Quiz Updated Google - Professional-Cloud-Database-Engineer - PDF Google Cloud Certified - Professional Cloud Database Engineer Cram Exam

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Google Professional-Cloud-Database-Engineer Exam Syllabus Topics:

Section	Objectives
Securing and ensuring compliance of database solutions	- Implement security best practices 1. Configure IAM and access controls 2. Ensure compliance and governance 3. Enable encryption and auditing
Optimizing database performance	- Improve database efficiency 1. Optimize storage and compute resources 2. Troubleshoot performance bottlenecks 3. Tune queries and indexes
Managing database solutions	- Deploy and administer databases 1. Implement monitoring and alerting 2. Configure backups and recovery 3. Manage maintenance and upgrades
Migrating data solutions	- Plan and execute migrations 1. Migrate on-premises databases to Google Cloud 2. Validate migrated workloads 3. Use Database Migration Service
Designing scalable and highly available cloud database solutions	- Select appropriate database services 1. Design globally distributed architectures 2. Plan scalability and availability strategies 3. Choose relational and non-relational databases

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q55-Q60):

NEW QUESTION # 55
Your company is migrating a legacy on-premises Oracle database to Cloud SQL for PostgreSQL.
As a part of the migration, you need to convert schema and other database code objects, such as procedures, functions, and triggers, from Oracle to PostgreSQL. The database migration needs to be accomplished with minimal application code changes and manual intervention. What is the Google-recommended approach you should do-

A. Migrate the data directly from Oracle to PostgreSQL without any conversion. Rely on application- level compatibility layers to handle any syntax or semantic differences.
B. Use a schema conversion tool to automatically convert the Oracle schema to PostgreSQL schema, then manually rewrite all queries.
C. Use Database Migration Service code conversion workspace, then review and refactor as needed.
D. Manually rewrite both the Oracle schema and queries to be compatible with PostgreSQL syntax and semantics.

Answer: C

Explanation:
Use Database Migration Service's conversion workspace to auto-convert your Oracle schema and PL/SQL code into PostgreSQL DDL and PL/pgSQL. Then simply review and refactor any edge cases - this approach minimizes manual rewrites and keeps application changes to a minimum.

NEW QUESTION # 56
You are setting up a Bare Metal Solution environment. You need to update the operating system to the latest version. You need to connect the Bare Metal Solution environment to the internet so you can receive software updates. What should you do?

A. Set up Cloud NAT service.
B. Set up a Cloud NAT gateway on the Compute Engine VM.
C. Set up bring your own IP (BYOIP) in your VPC.
D. Setup a static external IP address in your VPC network.

Answer: B

Explanation:
https://cloud.google.com/bare-metal/docs/bms-setup#bms-access-internet-vm-nat

NEW QUESTION # 57
Your team is running a Cloud SQL for MySQL instance with a 5 TB database that must be available 24/7. You need to save database backups on object storage with minimal operational overhead or risk to your production workloads. What should you do?

A. Create a read replica, and then use the mysqldump utility to export each table.
B. Clone the Cloud SQL instance, and then use the mysqldump utlity to export the data.
C. Use the mysqldump utility on the primary database instance to export the backup.
D. Use Cloud SQL serverless exports.

Answer: B

NEW QUESTION # 58
You released a popular mobile game and are using a 50 TB Cloud Spanner instance to store game data in a PITR-enabled production environment. When you analyzed the game statistics, you realized that some players are exploiting a loophole to gather more points to get on the leaderboard. Another DBA accidentally ran an emergency bugfix script that corrupted some of the data in the production environment. You need to determine the extent of the data corruption and restore the production environment. What should you do?
(Choose two.)

A. If the corruption is significant, perform a stale read and specify a recovery timestamp. Write the results back.
B. If the corruption is significant, use import and export.
C. If the corruption is significant, use backup and restore, and specify a recovery timestamp.
D. If the corruption is insignificant, perform a stale read and specify a recovery timestamp. Write the results back.
E. If the corruption is insignificant, use backup and restore, and specify a recovery timestamp.

Answer: C,D

Explanation:
https://cloud.google.com/spanner/docs/pitr#ways-to-recover
To recover the entire database, backup or export the database specifying a timestamp in the past and then restore or import it to a new database. This is typically used to recover from data corruption issues when you have to revert the entire database to a point-in-time before the corruption occurred.
This part describes significant corruption - A
To recover a portion of the database, perform a stale read specifying a query-condition and timestamp in the past, and then write the results back into the live database. This is typically used for surgical operations on a live database. For example, if you accidentally delete a particular row or incorrectly update a subset of data, you can recover it with this method.
This describes insignificant corruption case - E
https://cloud.google.com/spanner/docs/pitrhttps://cloud.google.com/spanner/docs/backup/restore-backup

NEW QUESTION # 59
You want to migrate your on-premises PostgreSQL database to Compute Engine. You need to migrate this database with the minimum downtime possible. What should you do?

A. Create a hot standby on Compute Engine, and use PgBouncer to switch over the connections.
B. Use Database Migration Service to migrate your database.
C. Perform a full backup of your on-premises PostgreSQL, and then, in the migration window, perform an incremental backup.
D. Create a read replica on Cloud SQL, and then promote it to a read/write standalone instance.

Answer: A

Explanation:
PgBouncer maintains a pool for connections for each database and user combination. PgBouncer either creates a new database connection for a client or reuses an existing connection for the same user and database. + PgBouncer is a simple PostgreSQL connection pool that allows for several thousand connections at a time. Using Kubernetes Engine to run a Helm Chart w/ PgBouncer based on the great article from futuretech-industries, we were able to set up an easily deployable system to get the most out of our CloudSQL DBs without breaking the bank. https://medium.com/google-cloud/increasing-cloud-sql-postgresql-max-connections-w-pgbouncer-kubernetes-engine-49b0b2894820#:~:text=That%20is%20where,breaking%20the%20bank.

NEW QUESTION # 60
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