CertificationAnswers

What is a data transfer option offered by Google to help move data?

 

• Cloud Engine Transfer Service
• Cloud SQL Transfer Service
• BigQuery Data Transfer Service
• Hardline Transfer

 

“High availability and durability via replications is just there: you don’t need to think about it or manage it. No scheduled downtime for upgrades, resizing or configuration changes.” Which of the following concerns is addressed by this Cloud Datastore value proposition?

 

• Infrastructure costs
• Performance
• Scalability
• Reliability

 

With Cloud Spanner, if one region goes offline, data can still be served from another region. How does Cloud Spanner make this possible?

 

• Cloud Spanner captures up to a petabyte of data on one Transfer Appliance without impacting the outbound network.
• Cloud Spanner stores and serves an unlimited number of objects and up to 5 terabytes of object data for each.
• Cloud Spanner automates loading data into BigQuery from YouTube, AdWords, and DoubleClick.
• Cloud Spanner uses synchronous replication within and across regions to achieve greater availability.

 

Considering where it fits in the GCP, Cloud Datastore is good for:

 

• Highly structured databases or transactional databases.
• Organizations with non-relational data that want to reduce their operations burden with an enterprise-grade database.
• Relational database management at scale that requires high availability and HTAP.
• Flat data and databases with lots of read-write actions.

 

Cloud Spanner is:

 

• A managed environment for deploying containerized apps.
• An enterprise-grade, globally distributed, and strongly consistent managed database service built for the cloud specifically to combine the benefits of relational database structure with non-relational horizontal scale.
• A fully managed database service that makes it easy to set up, maintain, manage, and administer relational MySQL and PostgreSQL databases in the cloud.
• A tool for developing and executing a wide range of data processing patterns on very large datasets.

 

How does Cloud SQL address the challenge of compatibility?

 

• Cloud SQL builds on performance innovations in Compute Engine and persistent disk.
• It’s easy to control with less infrastructure for you to manage and operate.
• If an organization’s app works with MySQL or PostgreSQL, it will work with Cloud SQL.
• You don’t need to reserve Cloud SQL instances ahead of time to get savings, and you pay by the minute, not by the hour.