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To become a Google Professional-Cloud-Database-Engineer, candidates must have a deep understanding of database management systems, including relational databases, NoSQL databases, and data warehousing solutions. They must also have experience in designing and implementing scalable and resilient database architectures using GCP's database services such as Cloud SQL, Cloud Spanner, and Bigtable. Additionally, candidates must have a good understanding of SQL and programming languages such as Java or Python.

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To become a Google Cloud Certified Professional-Cloud-Database-Engineer, candidates must pass a two-hour computer-based exam that consists of multiple-choice and multiple-response questions. Professional-Cloud-Database-Engineer Exam is designed to test a candidate's ability to design, develop, and manage cloud-based databases on Google Cloud Platform. Candidates must have a strong understanding of database management, database security, and database performance tuning.

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q80-Q85):

NEW QUESTION # 80
You want to migrate an on-premises mission-critical PostgreSQL database to Cloud SQL. The database must be able to withstand a zonal failure with less than five minutes of downtime and still not lose any transactions. You want to follow Google-recommended practices for the migration. What should you do?

A. Take nightly snapshots of the primary database instance, and restore them in a secondary zone.
B. Enable high availability (HA) for the database to make it regional.
C. Create a read replica in another region, and promote the read replica if a failure occurs.
D. Build a change data capture (CDC) pipeline to read transactions from the primary instance, and replicate them to a secondary instance.

Answer: B

NEW QUESTION # 81
Which Google Cloud database offers strongly consistent transactions, supports both relational and JSON data, and delivers globally distributed low latency across three continents?

A. Bigtable
B. Cloud SQL for PostgreSQL
C. Cloud Spanner multi region
D. AlloyDB for PostgreSQL

Answer: C

Explanation:
It delivers strongly consistent transactions, supports both relational schema and a JSON data type, and provides globally distributed low latency across continents.
This database offers true strong consistency with ACID transactions and synchronous replication, so reads and writes remain consistent even when distributed. It supports standard SQL with a relational model and includes native JSON support, which satisfies the requirement for both relational and JSON. Its multi region configuration replicates data across geographically separate regions to provide low latency access around the world while maintaining consistency.

NEW QUESTION # 82
Your company uses Cloud Spanner for a mission-critical inventory management system that is globally available. You recently loaded stock keeping unit (SKU) and product catalog data from a company acquisition and observed hot-spots in the Cloud Spanner database. You want to follow Google-recommended schema design practices to avoid performance degradation. What should you do? (Choose two.)

A. Promote high-cardinality attributes in multi-attribute primary keys.
B. Use an auto-incrementing value as the primary key.
C. Normalize the data model.
D. Promote low-cardinality attributes in multi-attribute primary keys.
E. Use bit-reverse sequential value as the primary key.

Answer: A,E

Explanation:
https://cloud.google.com/spanner/docs/schema-design D because high cardinality means you have more unique values in the collumn. That's a good thing for a hot-spotting issue. E because Spanner specifically has this feature to reduce hot spotting. Basically, it generates unique values https://cloud.google.com/spanner/docs/schema-design#bit_reverse_primary_key D) Promote high-cardinality attributes in multi-attribute primary keys.
This is a correct answer because promoting high-cardinality attributes in multi-attribute primary keys can help avoid hotspots in Cloud Spanner. High-cardinality attributes are those that have many distinct values, such as UUIDs, email addresses, or timestamps1. By placing high-cardinality attributes first in the primary key, you can ensure that the rows are distributed more evenly across the key space, and avoid having too many requests sent to the same server2.
E) Use bit-reverse sequential value as the primary key.
This is a correct answer because using bit-reverse sequential value as the primary key can help avoid hotspots in Cloud Spanner. Bit-reverse sequential value is a technique that reverses the bits of a monotonically increasing value, such as a timestamp or an auto-incrementing ID1. By reversing the bits, you can create a pseudo-random value that spreads the writes across the key space, and avoid having all the inserts occurring at the end of the table2.

NEW QUESTION # 83
Your organization works with sensitive data that requires you to manage your own encryption keys. You are working on a project that stores that data in a Cloud SQL database. You need to ensure that stored data is encrypted with your keys. What should you do?

A. Use Cloud SQL Auth proxy.
B. Connect to Cloud SQL using a connection that has SSL encryption.
C. Export data periodically to a Cloud Storage bucket protected by Customer-Supplied Encryption Keys.
D. Use customer-managed encryption keys with Cloud SQL.

Answer: B

NEW QUESTION # 84
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. Perform a full backup of your on-premises PostgreSQL, and then, in the migration window, perform an incremental backup.
C. Use Database Migration Service to migrate your database.
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 # 85
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